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"content": "\n\u003cp class=\"wp-block-paragraph\">If you want a glimpse into cutting-edge research on artificial intelligence in education, look to Jing Liu, director of the Center for Educational Data Science and Innovation at the University of Maryland. Two studies released in October offer a striking and enlightening contrast. One hinted that a little \u003ca href=\"https://edworkingpapers.com/ai26-1611\">AI-powered math practice\u003c/a> might help struggling middle schoolers improve their skills. The other found that an AI assistant undermined college students’ engagement and \u003ca href=\"https://edworkingpapers.com/ai26-1598\">hurt their grades\u003c/a>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Liu wanted the studies to be released together, he told me, to show that AI in education is neither “all good” nor “all bad.” The field is still figuring out how to design tools that improve learning over time. And that means studying not just the technology, but also how students respond to it — including in ways its creators never intended.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">In the first \u003ca href=\"https://edworkingpapers.com/ai26-1611\">experiment\u003c/a>, a math practice website called Goblins was rolled out to 6,000 middle schoolers in Deer Valley, Arizona, during the 2025-26 school year. Teachers assigned problems to their students. An AI tutor offered step-by-step help through text chatting, drawing on a virtual whiteboard and even spoken conversation. Teachers were encouraged to use it with struggling students, though some assigned it to their entire classes and others skipped it altogether.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Students who solved at least two problems a week — more than 50 over the school year — scored significantly higher on a year-end standardized assessment in math than similar students who used Goblins less or not at all. Accelerate, an independent, nonprofit research organization that commissioned the study, equated the statistical difference of 0.11 standard deviations to about \u003ca href=\"https://accelerate.us/can-an-ai-tutor-help-middle-schoolers-learn-math/\">three additional months of learning\u003c/a>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">But hold off on the celebratory bot music. The study cannot prove that Goblins caused the gains. Students who used it more might simply have been more motivated to practice math and might well have tested better in math with or without Goblins. Accelerate hopes to commission a randomized controlled trial to settle the matter.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Still, one result from this study is worth highlighting: Half the 6,000 students used Goblins to tackle at least two problems a week, the dosage associated with higher math scores. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">That’s noteworthy because education technology is plagued by something that education researchers call the “\u003ca href=\"https://www.educationnext.org/5-percent-problem-online-mathematics-programs-may-benefit-most-kids-who-need-it-least/\">five-percent problem\u003c/a>.” A tool may work beautifully for students who use it as directed, but as a rule of thumb, only about 5 percent actually do. The other 95 percent either don’t log in at home or sit idly through the minutes of scheduled screentime in class. Studies on \u003ca href=\"https://overdeck.org/research-repository/tutoring/use-of-map-accelerator-associated-with-better-than-projected-gains-in-map-growth-scores/\">Khan Academy\u003c/a>, \u003ca href=\"https://www.ixl.com/materials/us/research/The_Impact_of_IXL_in_New_York_State.pdf\">IXL\u003c/a> and other platforms have well documented this challenge of getting children to use their instructional software consistently.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Goblins appeared to reach some students who are often hard to engage, including English learners and students with disabilities. Liu suspects that’s because students could talk aloud to a cartoon avatar of their teacher, which could talk back. Moreover, the AI tutor could speak and understand Spanish and six other languages.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“It was like talking to your own teacher,” said Liu. “It made the students want to use it.” \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Teachers’ control over assignments may have helped, too. Rather than surrendering the lesson to a computer, teachers decided which problems to assign to which students and had the option to upload their own problems. That echoes research findings from older education technology. Another middle school math platform, ASSISTments, also produced \u003ca href=\"https://www.assistments.org/research\">strong results\u003c/a> using relatively small amounts of teacher-assigned practice with instant feedback for students.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Still, I don’t want to overstate how engaging or appealing Goblins was. Only 6 percent of the students in this experiment used it for at least half an hour a week, which is a more common dosage recommendation in ed tech and for which Goblins’ usage mirrors the familiar five-percent problem. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cstrong>When AI access backfires\u003c/strong>\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Liu’s other experiment tested an AI assistant developed at the University of Maryland. Before deploying it across the university to all 40,000 students, Provost Jennifer King Rice asked Liu to study it first. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">During the fall semester of 2025, Liu \u003ca href=\"https://edworkingpapers.com/ai26-1598\">randomly assigned 15 of 30 professors\u003c/a> to add the AI assistant to their classes. The other 15 taught the same courses, without AI. Subjects ranged from English and math to biology and social sciences. For example, two professors taught separate sections of the same biology course, one with the AI assistant and one without.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Professors \u003ca href=\"https://itsupport.umd.edu/itsupport/en?id=service&service=19ab45f31b2f4a98d98d748edc4bcb9c\">supplied the university’s AI chatbot\u003c/a> with syllabuses, readings, assignments and other course materials. During the semester, students could ask about assignment instructions and deadlines or get help understanding concepts. The assistant was available around the clock through Canvas, the university’s online learning management system. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">By the end of the year, the 1,100 students in courses with the AI assistant had lower grades — reduced by an average of 0.11 points on a four-point scale, roughly the difference between a 3.0 (a solid B) and a 2.9 (a low B) – compared with the 1,200 students in the control group. They also interacted less with course materials (such as making a comment on the class’s online discussion board) and were less likely to attend office hours or meet with instructors and peers. The negative effects were more pronounced for first-generation students.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“AI tools could exacerbate inequities in learning outcomes,” Rice told a \u003ca href=\"https://today.umd.edu/study-suggests-more-guidance-needed-in-use-of-ai-course-assistants\">University of Maryland publication\u003c/a>. “That is particularly troubling to me.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Only 15 percent of students in the AI-enhanced classes ever used the assistant. Those who did mostly asked it for answers rather than taking advantage of its tutoring features.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">How could a tool used by so few students have such negative effects? \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Liu and Rice suspect that the AI assistant’s constant presence in the course website sent an unintended message: AI use is encouraged. Students may have taken that as permission to use ChatGPT, Claude or Gemini outside the university’s platform to complete assignments. The researchers cannot establish whether that happened. But if AI did the work for students, it may have left them \u003ca href=\"https://hechingerreport.org/proof-points-offload-critical-thinking-ai/\">learning less\u003c/a>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">The lesson isn’t that colleges should avoid AI, says Liu. It’s that even a carefully designed tool can have consequences beyond its intended use. And Maryland deserves credit for testing the assistant before a university-wide rollout and for making the troubling results public for the whole field to learn from.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cem>This story about\u003c/em> \u003ca href=\"https://hechingerreport.org/proof-points-ai-tutor-results/\">\u003cem>\u003c/em>\u003cem>AI tutor research\u003c/em>\u003c/a> \u003cem>was produced by\u003c/em> \u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">\u003cem>\u003c/em>The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for\u003c/em> \u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>\u003c/em>\u003cem>Proof Points\u003c/em>\u003c/a> \u003cem>and other\u003c/em> \u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>\u003c/em>\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"innerHTML": "\n\u003cp>That’s noteworthy because education technology is plagued by something that education researchers call the “\u003ca href=\"https://www.educationnext.org/5-percent-problem-online-mathematics-programs-may-benefit-most-kids-who-need-it-least/\">five-percent problem\u003c/a>.” A tool may work beautifully for students who use it as directed, but as a rule of thumb, only about 5 percent actually do. The other 95 percent either don’t log in at home or sit idly through the minutes of scheduled screentime in class. Studies on \u003ca href=\"https://overdeck.org/research-repository/tutoring/use-of-map-accelerator-associated-with-better-than-projected-gains-in-map-growth-scores/\">Khan Academy\u003c/a>, \u003ca href=\"https://www.ixl.com/materials/us/research/The_Impact_of_IXL_in_New_York_State.pdf\">IXL\u003c/a> and other platforms have well documented this challenge of getting children to use their instructional software consistently.\u003c/p>\n",
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"\n\u003cp>That’s noteworthy because education technology is plagued by something that education researchers call the “\u003ca href=\"https://www.educationnext.org/5-percent-problem-online-mathematics-programs-may-benefit-most-kids-who-need-it-least/\">five-percent problem\u003c/a>.” A tool may work beautifully for students who use it as directed, but as a rule of thumb, only about 5 percent actually do. The other 95 percent either don’t log in at home or sit idly through the minutes of scheduled screentime in class. Studies on \u003ca href=\"https://overdeck.org/research-repository/tutoring/use-of-map-accelerator-associated-with-better-than-projected-gains-in-map-growth-scores/\">Khan Academy\u003c/a>, \u003ca href=\"https://www.ixl.com/materials/us/research/The_Impact_of_IXL_in_New_York_State.pdf\">IXL\u003c/a> and other platforms have well documented this challenge of getting children to use their instructional software consistently.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Goblins appeared to reach some students who are often hard to engage, including English learners and students with disabilities. Liu suspects that’s because students could talk aloud to a cartoon avatar of their teacher, which could talk back. Moreover, the AI tutor could speak and understand Spanish and six other languages.\u003c/p>\n",
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"\n\u003cp>Goblins appeared to reach some students who are often hard to engage, including English learners and students with disabilities. Liu suspects that’s because students could talk aloud to a cartoon avatar of their teacher, which could talk back. Moreover, the AI tutor could speak and understand Spanish and six other languages.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“It was like talking to your own teacher,” said Liu. “It made the students want to use it.” \u003c/p>\n",
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"innerHTML": "\n\u003cp>Teachers’ control over assignments may have helped, too. Rather than surrendering the lesson to a computer, teachers decided which problems to assign to which students and had the option to upload their own problems. That echoes research findings from older education technology. Another middle school math platform, ASSISTments, also produced \u003ca href=\"https://www.assistments.org/research\">strong results\u003c/a> using relatively small amounts of teacher-assigned practice with instant feedback for students.\u003c/p>\n",
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"\n\u003cp>Teachers’ control over assignments may have helped, too. Rather than surrendering the lesson to a computer, teachers decided which problems to assign to which students and had the option to upload their own problems. That echoes research findings from older education technology. Another middle school math platform, ASSISTments, also produced \u003ca href=\"https://www.assistments.org/research\">strong results\u003c/a> using relatively small amounts of teacher-assigned practice with instant feedback for students.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Still, I don’t want to overstate how engaging or appealing Goblins was. Only 6 percent of the students in this experiment used it for at least half an hour a week, which is a more common dosage recommendation in ed tech and for which Goblins’ usage mirrors the familiar five-percent problem. \u003c/p>\n",
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"\n\u003cp>Still, I don’t want to overstate how engaging or appealing Goblins was. Only 6 percent of the students in this experiment used it for at least half an hour a week, which is a more common dosage recommendation in ed tech and for which Goblins’ usage mirrors the familiar five-percent problem. \u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cstrong>When AI access backfires\u003c/strong>\u003c/p>\n",
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"innerHTML": "\n\u003cp>Liu’s other experiment tested an AI assistant developed at the University of Maryland. Before deploying it across the university to all 40,000 students, Provost Jennifer King Rice asked Liu to study it first. \u003c/p>\n",
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"\n\u003cp>Liu’s other experiment tested an AI assistant developed at the University of Maryland. Before deploying it across the university to all 40,000 students, Provost Jennifer King Rice asked Liu to study it first. \u003c/p>\n"
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"innerHTML": "\n\u003cp>During the fall semester of 2025, Liu \u003ca href=\"https://edworkingpapers.com/ai26-1598\">randomly assigned 15 of 30 professors\u003c/a> to add the AI assistant to their classes. The other 15 taught the same courses, without AI. Subjects ranged from English and math to biology and social sciences. For example, two professors taught separate sections of the same biology course, one with the AI assistant and one without.\u003c/p>\n",
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"\n\u003cp>During the fall semester of 2025, Liu \u003ca href=\"https://edworkingpapers.com/ai26-1598\">randomly assigned 15 of 30 professors\u003c/a> to add the AI assistant to their classes. The other 15 taught the same courses, without AI. Subjects ranged from English and math to biology and social sciences. For example, two professors taught separate sections of the same biology course, one with the AI assistant and one without.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Professors \u003ca href=\"https://itsupport.umd.edu/itsupport/en?id=service&service=19ab45f31b2f4a98d98d748edc4bcb9c\">supplied the university’s AI chatbot\u003c/a> with syllabuses, readings, assignments and other course materials. During the semester, students could ask about assignment instructions and deadlines or get help understanding concepts. The assistant was available around the clock through Canvas, the university’s online learning management system. \u003c/p>\n",
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"\n\u003cp>Professors \u003ca href=\"https://itsupport.umd.edu/itsupport/en?id=service&service=19ab45f31b2f4a98d98d748edc4bcb9c\">supplied the university’s AI chatbot\u003c/a> with syllabuses, readings, assignments and other course materials. During the semester, students could ask about assignment instructions and deadlines or get help understanding concepts. The assistant was available around the clock through Canvas, the university’s online learning management system. \u003c/p>\n"
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"innerHTML": "\n\u003cp>By the end of the year, the 1,100 students in courses with the AI assistant had lower grades — reduced by an average of 0.11 points on a four-point scale, roughly the difference between a 3.0 (a solid B) and a 2.9 (a low B) – compared with the 1,200 students in the control group. They also interacted less with course materials (such as making a comment on the class’s online discussion board) and were less likely to attend office hours or meet with instructors and peers. The negative effects were more pronounced for first-generation students.\u003c/p>\n",
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"\n\u003cp>By the end of the year, the 1,100 students in courses with the AI assistant had lower grades — reduced by an average of 0.11 points on a four-point scale, roughly the difference between a 3.0 (a solid B) and a 2.9 (a low B) – compared with the 1,200 students in the control group. They also interacted less with course materials (such as making a comment on the class’s online discussion board) and were less likely to attend office hours or meet with instructors and peers. The negative effects were more pronounced for first-generation students.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“AI tools could exacerbate inequities in learning outcomes,” Rice told a \u003ca href=\"https://today.umd.edu/study-suggests-more-guidance-needed-in-use-of-ai-course-assistants\">University of Maryland publication\u003c/a>. “That is particularly troubling to me.”\u003c/p>\n",
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"\n\u003cp>“AI tools could exacerbate inequities in learning outcomes,” Rice told a \u003ca href=\"https://today.umd.edu/study-suggests-more-guidance-needed-in-use-of-ai-course-assistants\">University of Maryland publication\u003c/a>. “That is particularly troubling to me.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Only 15 percent of students in the AI-enhanced classes ever used the assistant. Those who did mostly asked it for answers rather than taking advantage of its tutoring features.\u003c/p>\n",
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"\n\u003cp>Only 15 percent of students in the AI-enhanced classes ever used the assistant. Those who did mostly asked it for answers rather than taking advantage of its tutoring features.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Liu and Rice suspect that the AI assistant’s constant presence in the course website sent an unintended message: AI use is encouraged. Students may have taken that as permission to use ChatGPT, Claude or Gemini outside the university’s platform to complete assignments. The researchers cannot establish whether that happened. But if AI did the work for students, it may have left them \u003ca href=\"https://hechingerreport.org/proof-points-offload-critical-thinking-ai/\">learning less\u003c/a>.\u003c/p>\n",
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"\n\u003cp>Liu and Rice suspect that the AI assistant’s constant presence in the course website sent an unintended message: AI use is encouraged. Students may have taken that as permission to use ChatGPT, Claude or Gemini outside the university’s platform to complete assignments. The researchers cannot establish whether that happened. But if AI did the work for students, it may have left them \u003ca href=\"https://hechingerreport.org/proof-points-offload-critical-thinking-ai/\">learning less\u003c/a>.\u003c/p>\n"
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"innerHTML": "\n\u003cp>The lesson isn’t that colleges should avoid AI, says Liu. It’s that even a carefully designed tool can have consequences beyond its intended use. And Maryland deserves credit for testing the assistant before a university-wide rollout and for making the troubling results public for the whole field to learn from.\u003c/p>\n",
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"\n\u003cp>The lesson isn’t that colleges should avoid AI, says Liu. It’s that even a carefully designed tool can have consequences beyond its intended use. And Maryland deserves credit for testing the assistant before a university-wide rollout and for making the troubling results public for the whole field to learn from.\u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cem>This story about\u003c/em> \u003ca href=\"https://hechingerreport.org/proof-points-ai-tutor-results/\">\u003cem>\u003c/em>\u003cem>AI tutor research\u003c/em>\u003c/a> \u003cem>was produced by\u003c/em> \u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">\u003cem>\u003c/em>The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for\u003c/em> \u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>\u003c/em>\u003cem>Proof Points\u003c/em>\u003c/a> \u003cem>and other\u003c/em> \u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>\u003c/em>\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp class=\"wp-block-paragraph\">If you want a glimpse into cutting-edge research on artificial intelligence in education, look to Jing Liu, director of the Center for Educational Data Science and Innovation at the University of Maryland. Two studies released in October offer a striking and enlightening contrast. One hinted that a little \u003ca href=\"https://edworkingpapers.com/ai26-1611\">AI-powered math practice\u003c/a> might help struggling middle schoolers improve their skills. The other found that an AI assistant undermined college students’ engagement and \u003ca href=\"https://edworkingpapers.com/ai26-1598\">hurt their grades\u003c/a>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Liu wanted the studies to be released together, he told me, to show that AI in education is neither “all good” nor “all bad.” The field is still figuring out how to design tools that improve learning over time. And that means studying not just the technology, but also how students respond to it — including in ways its creators never intended.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">In the first \u003ca href=\"https://edworkingpapers.com/ai26-1611\">experiment\u003c/a>, a math practice website called Goblins was rolled out to 6,000 middle schoolers in Deer Valley, Arizona, during the 2025-26 school year. Teachers assigned problems to their students. An AI tutor offered step-by-step help through text chatting, drawing on a virtual whiteboard and even spoken conversation. Teachers were encouraged to use it with struggling students, though some assigned it to their entire classes and others skipped it altogether.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Students who solved at least two problems a week — more than 50 over the school year — scored significantly higher on a year-end standardized assessment in math than similar students who used Goblins less or not at all. Accelerate, an independent, nonprofit research organization that commissioned the study, equated the statistical difference of 0.11 standard deviations to about \u003ca href=\"https://accelerate.us/can-an-ai-tutor-help-middle-schoolers-learn-math/\">three additional months of learning\u003c/a>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">But hold off on the celebratory bot music. The study cannot prove that Goblins caused the gains. Students who used it more might simply have been more motivated to practice math and might well have tested better in math with or without Goblins. Accelerate hopes to commission a randomized controlled trial to settle the matter.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Still, one result from this study is worth highlighting: Half the 6,000 students used Goblins to tackle at least two problems a week, the dosage associated with higher math scores. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">That’s noteworthy because education technology is plagued by something that education researchers call the “\u003ca href=\"https://www.educationnext.org/5-percent-problem-online-mathematics-programs-may-benefit-most-kids-who-need-it-least/\">five-percent problem\u003c/a>.” A tool may work beautifully for students who use it as directed, but as a rule of thumb, only about 5 percent actually do. The other 95 percent either don’t log in at home or sit idly through the minutes of scheduled screentime in class. Studies on \u003ca href=\"https://overdeck.org/research-repository/tutoring/use-of-map-accelerator-associated-with-better-than-projected-gains-in-map-growth-scores/\">Khan Academy\u003c/a>, \u003ca href=\"https://www.ixl.com/materials/us/research/The_Impact_of_IXL_in_New_York_State.pdf\">IXL\u003c/a> and other platforms have well documented this challenge of getting children to use their instructional software consistently.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Goblins appeared to reach some students who are often hard to engage, including English learners and students with disabilities. Liu suspects that’s because students could talk aloud to a cartoon avatar of their teacher, which could talk back. Moreover, the AI tutor could speak and understand Spanish and six other languages.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“It was like talking to your own teacher,” said Liu. “It made the students want to use it.” \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Teachers’ control over assignments may have helped, too. Rather than surrendering the lesson to a computer, teachers decided which problems to assign to which students and had the option to upload their own problems. That echoes research findings from older education technology. Another middle school math platform, ASSISTments, also produced \u003ca href=\"https://www.assistments.org/research\">strong results\u003c/a> using relatively small amounts of teacher-assigned practice with instant feedback for students.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Still, I don’t want to overstate how engaging or appealing Goblins was. Only 6 percent of the students in this experiment used it for at least half an hour a week, which is a more common dosage recommendation in ed tech and for which Goblins’ usage mirrors the familiar five-percent problem. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cstrong>When AI access backfires\u003c/strong>\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Liu’s other experiment tested an AI assistant developed at the University of Maryland. Before deploying it across the university to all 40,000 students, Provost Jennifer King Rice asked Liu to study it first. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">During the fall semester of 2025, Liu \u003ca href=\"https://edworkingpapers.com/ai26-1598\">randomly assigned 15 of 30 professors\u003c/a> to add the AI assistant to their classes. The other 15 taught the same courses, without AI. Subjects ranged from English and math to biology and social sciences. For example, two professors taught separate sections of the same biology course, one with the AI assistant and one without.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Professors \u003ca href=\"https://itsupport.umd.edu/itsupport/en?id=service&service=19ab45f31b2f4a98d98d748edc4bcb9c\">supplied the university’s AI chatbot\u003c/a> with syllabuses, readings, assignments and other course materials. During the semester, students could ask about assignment instructions and deadlines or get help understanding concepts. The assistant was available around the clock through Canvas, the university’s online learning management system. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">By the end of the year, the 1,100 students in courses with the AI assistant had lower grades — reduced by an average of 0.11 points on a four-point scale, roughly the difference between a 3.0 (a solid B) and a 2.9 (a low B) – compared with the 1,200 students in the control group. They also interacted less with course materials (such as making a comment on the class’s online discussion board) and were less likely to attend office hours or meet with instructors and peers. The negative effects were more pronounced for first-generation students.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“AI tools could exacerbate inequities in learning outcomes,” Rice told a \u003ca href=\"https://today.umd.edu/study-suggests-more-guidance-needed-in-use-of-ai-course-assistants\">University of Maryland publication\u003c/a>. “That is particularly troubling to me.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Only 15 percent of students in the AI-enhanced classes ever used the assistant. Those who did mostly asked it for answers rather than taking advantage of its tutoring features.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">How could a tool used by so few students have such negative effects? \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Liu and Rice suspect that the AI assistant’s constant presence in the course website sent an unintended message: AI use is encouraged. Students may have taken that as permission to use ChatGPT, Claude or Gemini outside the university’s platform to complete assignments. The researchers cannot establish whether that happened. But if AI did the work for students, it may have left them \u003ca href=\"https://hechingerreport.org/proof-points-offload-critical-thinking-ai/\">learning less\u003c/a>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">The lesson isn’t that colleges should avoid AI, says Liu. It’s that even a carefully designed tool can have consequences beyond its intended use. And Maryland deserves credit for testing the assistant before a university-wide rollout and for making the troubling results public for the whole field to learn from.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cem>This story about\u003c/em> \u003ca href=\"https://hechingerreport.org/proof-points-ai-tutor-results/\">\u003cem>\u003c/em>\u003cem>AI tutor research\u003c/em>\u003c/a> \u003cem>was produced by\u003c/em> \u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">\u003cem>\u003c/em>The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for\u003c/em> \u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>\u003c/em>\u003cem>Proof Points\u003c/em>\u003c/a> \u003cem>and other\u003c/em> \u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>\u003c/em>\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\u003c/div>\u003c/p>",
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"content": "\n\u003cp class=\"wp-block-paragraph\">Does artificial intelligence help students learn? That’s a question many teachers and parents want answered, as the new educational technology is rapidly spreading in classrooms. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Normally, meta-analyses would be the right place to look, since they’re supposed to gather a scattered body of research and make sense of it by pointing to where the preponderance of evidence lies. And indeed, there are 39 of them, all reporting substantial benefits for AI in education. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">But it appears that the studies synthesizing that evidence are themselves unreliable — and the peer-review process failed to catch the problems. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“This is not trustworthy evidence,” said Justin Reich, an associate professor at the Massachusetts Institute of Technology and the director of MIT’s Teaching Systems Lab, who hosted a webinar on Oct. 20 to discuss the problem of the growing number of positive AI meta-analyses. “All of these meta-analyses are flawed.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">A \u003ca href=\"https://osf.io/preprints/edarxiv/n29zd_v3\">forensic audit\u003c/a> of 14 of the 39 meta-analyses has found serious conceptual and statistical flaws. Appearing in journals by prominent publishers, including Springer Nature, Wiley, SAGE and Taylor & Francis, these 14 papers have accumulated more than 3,000 citations and continue to rack up 200 citations a month, according to Google Scholar — implying that AI’s effectiveness is settled science. One meta-analysis has been \u003ca href=\"https://www.nature.com/articles/s41599-026-07310-z\">retracted\u003c/a>, almost a year after its May 2025 publication in a Nature journal after two Norwegian scholars lodged a complaint. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">The new audit was conducted by Patrick O’Neill, a community college professor at the Bloomington, Indiana, campus of Ivy Tech, who examined a sample of the underlying studies and the statistical methods used to combine their results in meta-analyses. O’Neill found recurring patterns of errors, some of which he said could easily have been detected just by reading the study abstracts. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">During the Oct. 20 webinar, O’Neill described a constellation of “impossible statistics,” “hallucinated references” and “overstated conclusions.” Some of the underlying studies even cited references to papers published about generative AI before that technology was released to the public. Links to the citations sometimes led to unrelated studies. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Many of the aggregated studies didn’t even measure how much AI boosted learning. For example, nursing students who studied for three hours a week with an instructor using AI were compared to peers who had no study sessions at all (of course they tested better). Students who played video games and answered AI-generated questions outperformed students who did neither. In another experiment, students who chatted with an AI bot reported feeling less anxious.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Beth Tipton, a leading meta-analysis expert and a professor at Northwestern University, who joined her colleagues Reich and O’Neill in the critique, characterized as “crazy” the idea of conducting a very broad meta-analysis encompassing all the various uses of AI in education. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Tipton compared it to conducting a meta-analysis of math education. Is math education effective? That depends on how the math is taught. A thoughtful meta-analysis might narrow the question down to a specific approach, such as whether spatial learning interventions improve math skills. Similarly, Tipton said, how AI is used needs to be specified before conducting a meta-analysis of it. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“Do we mean people using [educational] apps and programs that include AI in them, like Khan Academy? Do we mean giving students access to Claude?” Tipton asked. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">A big concern in the current batch of AI meta-analyses, O’Neill said, is “publication bias.” He found that two-thirds of the calls for papers for AI in education specifically invited research on its benefits, “seemingly disinviting null or negative results.” That means the meta-analyses are effectively “manufacturing evidence” by aggregating selected, positive results, he said. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cstrong>Recrunching the numbers\u003c/strong>\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">O’Neill is now conducting his own AI meta-analysis, using proper statistical methods, and arriving at a far less sanguine picture. He found that the outcomes from 44 well-designed experiments varied widely, from very helpful to very harmful to students. The results averaged out to roughly zero, according to O’Neill’s preliminary calculations. This doesn’t mean educators should conclude that AI is harmless, on average. It depends on how it’s used.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Susanna Loeb, a Stanford professor of education who also joined the meta-analysis critique webinar, pointed out that her team has collected almost 900 studies on AI in education and determined that only 20 of them were of high enough quality to be included in a recent \u003ca href=\"https://scale.stanford.edu/sites/default/files/The%20Evidence%20Base%20on%20AI%20in%20K-12%20Report.pdf\">summary of the evidence\u003c/a> for her \u003ca href=\"https://scale.stanford.edu/ai\">AI Hub for Education\u003c/a>. Her team has since identified 32 more studies and is soon to update that summary. But, she said, it’s still too early to conduct a meta-analysis that would be useful to school leaders or teachers. Very few of the high-quality studies take place in K-12 schools in the United States.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Northwestern’s Tipton worries that the fast-growing field of meta-analysis has outstripped the supply of experts qualified to review the work. More scholars are conducting meta-analyses because they’re quicker and cheaper than running experiments, and they can attract lots of citations for ambitious professors. The hunger for evidence about AI has made this topic a particular magnet for meta-analysis and spawned something of an AI meta-analysis cottage industry.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Tipton said she gets requests to review meta-analysis papers every day but can’t accept them all. Checking the underlying studies can take days, and peer review is unpaid volunteer work.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Medicine has flawed research, too, Tipton said, but it has gatekeepers to help separate the wheat from the chaff. The Food and Drug Administration evaluates evidence before approving drugs, and insurers review research when deciding which treatments to cover. Education has no comparable safeguards.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cstrong>A ‘no-man’s land’\u003c/strong>\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“In education, it’s kind of no-man’s land,” Tipton said. “Anybody can sort of say that they have evidence for anything, and share it with anybody, and consumers, schools, teachers, parents are left to try to wade through that and make sense of it. It’s incredibly frustrating.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">The researchers appealed to philanthropic funders and the National Science Foundation for help supporting rigorous, reliable research syntheses. “Maybe our model of voluntary peer review doesn’t work very well for landmark” studies on critical topics in education, Reich said. “Peer review’s not working. Meta-analysis is not working.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Until truly reliable evidence emerges, the researchers advised educators to experiment cautiously with AI, starting with small groups of students and monitoring the results. Even introducing AI into a 300-student lecture course could be risky, O’Neill said.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">In other words, teachers are on their own to experiment in their own classrooms. Still, it’s encouraging to see education researchers calling out flaws in their own field and trying to fix them. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cem>Contact staff writer\u003c/em> \u003ca href=\"https://hechingerreport.org/author/jill-barshay/\">\u003cem>Jill Barshay\u003c/em>\u003c/a> \u003cem>at 212-678-3595, jillbarshay.35 on Signal, or barshay@hechingerreport.org\u003c/em>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cem>This story about\u003c/em> \u003ca href=\"https://hechingerreport.org/proof-points-ai-education-meta-analysis/\">\u003cem>\u003c/em>\u003cem>AI in education meta-analysis\u003c/em>\u003c/a> \u003cem>was produced by\u003c/em> \u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">\u003cem>\u003c/em>The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for\u003c/em> \u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>\u003c/em>\u003cem>Proof Points\u003c/em>\u003c/a> \u003cem>and other\u003c/em> \u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>\u003c/em>\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"innerHTML": "\n\u003cp>“This is not trustworthy evidence,” said Justin Reich, an associate professor at the Massachusetts Institute of Technology and the director of MIT’s Teaching Systems Lab, who hosted a webinar on Oct. 20 to discuss the problem of the growing number of positive AI meta-analyses. “All of these meta-analyses are flawed.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>A \u003ca href=\"https://osf.io/preprints/edarxiv/n29zd_v3\">forensic audit\u003c/a> of 14 of the 39 meta-analyses has found serious conceptual and statistical flaws. Appearing in journals by prominent publishers, including Springer Nature, Wiley, SAGE and Taylor & Francis, these 14 papers have accumulated more than 3,000 citations and continue to rack up 200 citations a month, according to Google Scholar — implying that AI’s effectiveness is settled science. One meta-analysis has been \u003ca href=\"https://www.nature.com/articles/s41599-026-07310-z\">retracted\u003c/a>, almost a year after its May 2025 publication in a Nature journal after two Norwegian scholars lodged a complaint. \u003c/p>\n",
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"\n\u003cp>A \u003ca href=\"https://osf.io/preprints/edarxiv/n29zd_v3\">forensic audit\u003c/a> of 14 of the 39 meta-analyses has found serious conceptual and statistical flaws. Appearing in journals by prominent publishers, including Springer Nature, Wiley, SAGE and Taylor & Francis, these 14 papers have accumulated more than 3,000 citations and continue to rack up 200 citations a month, according to Google Scholar — implying that AI’s effectiveness is settled science. One meta-analysis has been \u003ca href=\"https://www.nature.com/articles/s41599-026-07310-z\">retracted\u003c/a>, almost a year after its May 2025 publication in a Nature journal after two Norwegian scholars lodged a complaint. \u003c/p>\n"
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"innerHTML": "\n\u003cp>During the Oct. 20 webinar, O’Neill described a constellation of “impossible statistics,” “hallucinated references” and “overstated conclusions.” Some of the underlying studies even cited references to papers published about generative AI before that technology was released to the public. Links to the citations sometimes led to unrelated studies. \u003c/p>\n",
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"\n\u003cp>During the Oct. 20 webinar, O’Neill described a constellation of “impossible statistics,” “hallucinated references” and “overstated conclusions.” Some of the underlying studies even cited references to papers published about generative AI before that technology was released to the public. Links to the citations sometimes led to unrelated studies. \u003c/p>\n"
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"innerHTML": "\n\u003cp>Many of the aggregated studies didn’t even measure how much AI boosted learning. For example, nursing students who studied for three hours a week with an instructor using AI were compared to peers who had no study sessions at all (of course they tested better). Students who played video games and answered AI-generated questions outperformed students who did neither. In another experiment, students who chatted with an AI bot reported feeling less anxious.\u003c/p>\n",
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"\n\u003cp>Many of the aggregated studies didn’t even measure how much AI boosted learning. For example, nursing students who studied for three hours a week with an instructor using AI were compared to peers who had no study sessions at all (of course they tested better). Students who played video games and answered AI-generated questions outperformed students who did neither. In another experiment, students who chatted with an AI bot reported feeling less anxious.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Tipton compared it to conducting a meta-analysis of math education. Is math education effective? That depends on how the math is taught. A thoughtful meta-analysis might narrow the question down to a specific approach, such as whether spatial learning interventions improve math skills. Similarly, Tipton said, how AI is used needs to be specified before conducting a meta-analysis of it. \u003c/p>\n",
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"\n\u003cp>Tipton compared it to conducting a meta-analysis of math education. Is math education effective? That depends on how the math is taught. A thoughtful meta-analysis might narrow the question down to a specific approach, such as whether spatial learning interventions improve math skills. Similarly, Tipton said, how AI is used needs to be specified before conducting a meta-analysis of it. \u003c/p>\n"
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"innerHTML": "\n\u003cp>“Do we mean people using [educational] apps and programs that include AI in them, like Khan Academy? Do we mean giving students access to Claude?” Tipton asked. \u003c/p>\n",
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"innerHTML": "\n\u003cp>A big concern in the current batch of AI meta-analyses, O’Neill said, is “publication bias.” He found that two-thirds of the calls for papers for AI in education specifically invited research on its benefits, “seemingly disinviting null or negative results.” That means the meta-analyses are effectively “manufacturing evidence” by aggregating selected, positive results, he said. \u003c/p>\n",
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"innerHTML": "\n\u003cp>O’Neill is now conducting his own AI meta-analysis, using proper statistical methods, and arriving at a far less sanguine picture. He found that the outcomes from 44 well-designed experiments varied widely, from very helpful to very harmful to students. The results averaged out to roughly zero, according to O’Neill’s preliminary calculations. This doesn’t mean educators should conclude that AI is harmless, on average. It depends on how it’s used.\u003c/p>\n",
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"\n\u003cp>O’Neill is now conducting his own AI meta-analysis, using proper statistical methods, and arriving at a far less sanguine picture. He found that the outcomes from 44 well-designed experiments varied widely, from very helpful to very harmful to students. The results averaged out to roughly zero, according to O’Neill’s preliminary calculations. This doesn’t mean educators should conclude that AI is harmless, on average. It depends on how it’s used.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Susanna Loeb, a Stanford professor of education who also joined the meta-analysis critique webinar, pointed out that her team has collected almost 900 studies on AI in education and determined that only 20 of them were of high enough quality to be included in a recent \u003ca href=\"https://scale.stanford.edu/sites/default/files/The%20Evidence%20Base%20on%20AI%20in%20K-12%20Report.pdf\">summary of the evidence\u003c/a> for her \u003ca href=\"https://scale.stanford.edu/ai\">AI Hub for Education\u003c/a>. Her team has since identified 32 more studies and is soon to update that summary. But, she said, it’s still too early to conduct a meta-analysis that would be useful to school leaders or teachers. Very few of the high-quality studies take place in K-12 schools in the United States.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Northwestern’s Tipton worries that the fast-growing field of meta-analysis has outstripped the supply of experts qualified to review the work. More scholars are conducting meta-analyses because they’re quicker and cheaper than running experiments, and they can attract lots of citations for ambitious professors. The hunger for evidence about AI has made this topic a particular magnet for meta-analysis and spawned something of an AI meta-analysis cottage industry.\u003c/p>\n",
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"\n\u003cp>Northwestern’s Tipton worries that the fast-growing field of meta-analysis has outstripped the supply of experts qualified to review the work. More scholars are conducting meta-analyses because they’re quicker and cheaper than running experiments, and they can attract lots of citations for ambitious professors. The hunger for evidence about AI has made this topic a particular magnet for meta-analysis and spawned something of an AI meta-analysis cottage industry.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Medicine has flawed research, too, Tipton said, but it has gatekeepers to help separate the wheat from the chaff. The Food and Drug Administration evaluates evidence before approving drugs, and insurers review research when deciding which treatments to cover. Education has no comparable safeguards.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“In education, it’s kind of no-man’s land,” Tipton said. “Anybody can sort of say that they have evidence for anything, and share it with anybody, and consumers, schools, teachers, parents are left to try to wade through that and make sense of it. It’s incredibly frustrating.”\u003c/p>\n",
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"\n\u003cp>“In education, it’s kind of no-man’s land,” Tipton said. “Anybody can sort of say that they have evidence for anything, and share it with anybody, and consumers, schools, teachers, parents are left to try to wade through that and make sense of it. It’s incredibly frustrating.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>The researchers appealed to philanthropic funders and the National Science Foundation for help supporting rigorous, reliable research syntheses. “Maybe our model of voluntary peer review doesn’t work very well for landmark” studies on critical topics in education, Reich said. “Peer review’s not working. Meta-analysis is not working.”\u003c/p>\n",
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"\n\u003cp>The researchers appealed to philanthropic funders and the National Science Foundation for help supporting rigorous, reliable research syntheses. “Maybe our model of voluntary peer review doesn’t work very well for landmark” studies on critical topics in education, Reich said. “Peer review’s not working. Meta-analysis is not working.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Until truly reliable evidence emerges, the researchers advised educators to experiment cautiously with AI, starting with small groups of students and monitoring the results. Even introducing AI into a 300-student lecture course could be risky, O’Neill said.\u003c/p>\n",
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"\n\u003cp>Until truly reliable evidence emerges, the researchers advised educators to experiment cautiously with AI, starting with small groups of students and monitoring the results. Even introducing AI into a 300-student lecture course could be risky, O’Neill said.\u003c/p>\n"
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"innerHTML": "\n\u003cp>In other words, teachers are on their own to experiment in their own classrooms. Still, it’s encouraging to see education researchers calling out flaws in their own field and trying to fix them. \u003c/p>\n",
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"innerHTML": "\n\u003cp>\u003cem>Contact staff writer\u003c/em> \u003ca href=\"https://hechingerreport.org/author/jill-barshay/\">\u003cem>Jill Barshay\u003c/em>\u003c/a> \u003cem>at 212-678-3595, jillbarshay.35 on Signal, or barshay@hechingerreport.org\u003c/em>.\u003c/p>\n",
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"innerHTML": "\n\u003cp>\u003cem>This story about\u003c/em> \u003ca href=\"https://hechingerreport.org/proof-points-ai-education-meta-analysis/\">\u003cem>\u003c/em>\u003cem>AI in education meta-analysis\u003c/em>\u003c/a> \u003cem>was produced by\u003c/em> \u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">\u003cem>\u003c/em>The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for\u003c/em> \u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>\u003c/em>\u003cem>Proof Points\u003c/em>\u003c/a> \u003cem>and other\u003c/em> \u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>\u003c/em>\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"excerpt": "‘Anybody can sort of say that they have evidence for anything,’ a top scholar says.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp class=\"wp-block-paragraph\">Does artificial intelligence help students learn? That’s a question many teachers and parents want answered, as the new educational technology is rapidly spreading in classrooms. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Normally, meta-analyses would be the right place to look, since they’re supposed to gather a scattered body of research and make sense of it by pointing to where the preponderance of evidence lies. And indeed, there are 39 of them, all reporting substantial benefits for AI in education. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">But it appears that the studies synthesizing that evidence are themselves unreliable — and the peer-review process failed to catch the problems. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“This is not trustworthy evidence,” said Justin Reich, an associate professor at the Massachusetts Institute of Technology and the director of MIT’s Teaching Systems Lab, who hosted a webinar on Oct. 20 to discuss the problem of the growing number of positive AI meta-analyses. “All of these meta-analyses are flawed.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">A \u003ca href=\"https://osf.io/preprints/edarxiv/n29zd_v3\">forensic audit\u003c/a> of 14 of the 39 meta-analyses has found serious conceptual and statistical flaws. Appearing in journals by prominent publishers, including Springer Nature, Wiley, SAGE and Taylor & Francis, these 14 papers have accumulated more than 3,000 citations and continue to rack up 200 citations a month, according to Google Scholar — implying that AI’s effectiveness is settled science. One meta-analysis has been \u003ca href=\"https://www.nature.com/articles/s41599-026-07310-z\">retracted\u003c/a>, almost a year after its May 2025 publication in a Nature journal after two Norwegian scholars lodged a complaint. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">The new audit was conducted by Patrick O’Neill, a community college professor at the Bloomington, Indiana, campus of Ivy Tech, who examined a sample of the underlying studies and the statistical methods used to combine their results in meta-analyses. O’Neill found recurring patterns of errors, some of which he said could easily have been detected just by reading the study abstracts. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">During the Oct. 20 webinar, O’Neill described a constellation of “impossible statistics,” “hallucinated references” and “overstated conclusions.” Some of the underlying studies even cited references to papers published about generative AI before that technology was released to the public. Links to the citations sometimes led to unrelated studies. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Many of the aggregated studies didn’t even measure how much AI boosted learning. For example, nursing students who studied for three hours a week with an instructor using AI were compared to peers who had no study sessions at all (of course they tested better). Students who played video games and answered AI-generated questions outperformed students who did neither. In another experiment, students who chatted with an AI bot reported feeling less anxious.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Beth Tipton, a leading meta-analysis expert and a professor at Northwestern University, who joined her colleagues Reich and O’Neill in the critique, characterized as “crazy” the idea of conducting a very broad meta-analysis encompassing all the various uses of AI in education. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Tipton compared it to conducting a meta-analysis of math education. Is math education effective? That depends on how the math is taught. A thoughtful meta-analysis might narrow the question down to a specific approach, such as whether spatial learning interventions improve math skills. Similarly, Tipton said, how AI is used needs to be specified before conducting a meta-analysis of it. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“Do we mean people using [educational] apps and programs that include AI in them, like Khan Academy? Do we mean giving students access to Claude?” Tipton asked. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">A big concern in the current batch of AI meta-analyses, O’Neill said, is “publication bias.” He found that two-thirds of the calls for papers for AI in education specifically invited research on its benefits, “seemingly disinviting null or negative results.” That means the meta-analyses are effectively “manufacturing evidence” by aggregating selected, positive results, he said. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cstrong>Recrunching the numbers\u003c/strong>\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">O’Neill is now conducting his own AI meta-analysis, using proper statistical methods, and arriving at a far less sanguine picture. He found that the outcomes from 44 well-designed experiments varied widely, from very helpful to very harmful to students. The results averaged out to roughly zero, according to O’Neill’s preliminary calculations. This doesn’t mean educators should conclude that AI is harmless, on average. It depends on how it’s used.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Susanna Loeb, a Stanford professor of education who also joined the meta-analysis critique webinar, pointed out that her team has collected almost 900 studies on AI in education and determined that only 20 of them were of high enough quality to be included in a recent \u003ca href=\"https://scale.stanford.edu/sites/default/files/The%20Evidence%20Base%20on%20AI%20in%20K-12%20Report.pdf\">summary of the evidence\u003c/a> for her \u003ca href=\"https://scale.stanford.edu/ai\">AI Hub for Education\u003c/a>. Her team has since identified 32 more studies and is soon to update that summary. But, she said, it’s still too early to conduct a meta-analysis that would be useful to school leaders or teachers. Very few of the high-quality studies take place in K-12 schools in the United States.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Northwestern’s Tipton worries that the fast-growing field of meta-analysis has outstripped the supply of experts qualified to review the work. More scholars are conducting meta-analyses because they’re quicker and cheaper than running experiments, and they can attract lots of citations for ambitious professors. The hunger for evidence about AI has made this topic a particular magnet for meta-analysis and spawned something of an AI meta-analysis cottage industry.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Tipton said she gets requests to review meta-analysis papers every day but can’t accept them all. Checking the underlying studies can take days, and peer review is unpaid volunteer work.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Medicine has flawed research, too, Tipton said, but it has gatekeepers to help separate the wheat from the chaff. The Food and Drug Administration evaluates evidence before approving drugs, and insurers review research when deciding which treatments to cover. Education has no comparable safeguards.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cstrong>A ‘no-man’s land’\u003c/strong>\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">“In education, it’s kind of no-man’s land,” Tipton said. “Anybody can sort of say that they have evidence for anything, and share it with anybody, and consumers, schools, teachers, parents are left to try to wade through that and make sense of it. It’s incredibly frustrating.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">The researchers appealed to philanthropic funders and the National Science Foundation for help supporting rigorous, reliable research syntheses. “Maybe our model of voluntary peer review doesn’t work very well for landmark” studies on critical topics in education, Reich said. “Peer review’s not working. Meta-analysis is not working.”\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">Until truly reliable evidence emerges, the researchers advised educators to experiment cautiously with AI, starting with small groups of students and monitoring the results. Even introducing AI into a 300-student lecture course could be risky, O’Neill said.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">In other words, teachers are on their own to experiment in their own classrooms. Still, it’s encouraging to see education researchers calling out flaws in their own field and trying to fix them. \u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cem>Contact staff writer\u003c/em> \u003ca href=\"https://hechingerreport.org/author/jill-barshay/\">\u003cem>Jill Barshay\u003c/em>\u003c/a> \u003cem>at 212-678-3595, jillbarshay.35 on Signal, or barshay@hechingerreport.org\u003c/em>.\u003c/p>\n\n\n\n\u003cp class=\"wp-block-paragraph\">\u003cem>This story about\u003c/em> \u003ca href=\"https://hechingerreport.org/proof-points-ai-education-meta-analysis/\">\u003cem>\u003c/em>\u003cem>AI in education meta-analysis\u003c/em>\u003c/a> \u003cem>was produced by\u003c/em> \u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">\u003cem>\u003c/em>The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for\u003c/em> \u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>\u003c/em>\u003cem>Proof Points\u003c/em>\u003c/a> \u003cem>and other\u003c/em> \u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>\u003c/em>\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\u003c/div>\u003c/p>",
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"slug": "enrollment-discipline-disabilities-5-things-civil-rights-data-says-about-public-schools",
"title": "Enrollment, Discipline, Disabilities: 5 Things Civil Rights Data Says About Public Schools",
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"headTitle": "Enrollment, Discipline, Disabilities: 5 Things Civil Rights Data Says About Public Schools | KQED",
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"content": "\n\u003cp>The number of kids in preschool rose in the 2023-24 school year, while those in K-12 public schools declined. The population of students with disabilities grew. Black students were more likely to be suspended than students of other races. And the teacher workforce was far less diverse than the student population.\u003c/p>\n\n\n\n\u003cp>All of this information comes from the latest Civil Rights Data Collection (CRDC): a federal survey that paints one of the most comprehensive pictures of how American students are being treated at school. The federal government has been gathering this kind of information for over 50 years, partly to help the U.S. Education Department hold schools accountable for protecting student civil rights.\u003c/p>\n\n\n\n\u003cp>The Trump administration published the latest CRDC from the 2023-24 school year \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\">six months later\u003c/a> than promised. When it finally \u003ca href=\"https://www.npr.org/2026/09/04/nx-s1-5955681/civil-rights-data-schools-trump\" target=\"_blank\">did share the information\u003c/a> on Aug. 31, collected from over 97,000 public schools, it was without a usual “First Look Report” that makes the information easier to understand for the public. Now, \u003ca href=\"https://www.ed.gov/media/document/2023-24-first-look-civil-rights-data-collection-september-30-2026-114593.pdf\" target=\"_blank\">that too\u003c/a>, is available.\u003c/p>\n\n\n\n\u003cp>The findings are about 49.7 million public school students and include data on enrollment, harassment and the treatment of students with disabilities, among other things. But one group was left out: nonbinary students. While data on nonbinary students was collected under the Biden administration, the Trump administration chose to withhold it from the public release.\u003c/p>\n\n\n\n\u003cp>Maithreyi Gopalan of the University of Oregon, who helps lead the research and policy group \u003ca href=\"https://www.advancedequity.org/briefs/a-second-look-202324crdc\" target=\"_blank\">AdvancED Equity\u003c/a>, and Dan Losen of the National Center for Youth Law, both independently analyzed the data and shared some of what they learned with NPR.\u003c/p>\n\n\n\n\u003cp>Here are five things they found striking:\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>1. Public school enrollment\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Some 1.5 million children were enrolled in public preschool programs — a 12% jump from the 2021-22 school year, but still slightly lower \u003ca href=\"https://nces.ed.gov/programs/digest/d24/tables/dt24_203.10.asp\" target=\"_blank\">than 2019\u003c/a>. “It’s part recovery, part expansion,” says Gopalan. By recovery, she means the number of preschoolers started rising again from a pandemic low. By expansion, Gopalan is referring to the fact that some states are investing more in early childhood education, which may account for some of the increases.\u003c/p>\n\n\n\n\u003cp>According to the \u003ca href=\"https://nieer.org/yearbook/2024/executive-summary\" target=\"_blank\">National Institute for Early Education Research\u003c/a>, state-funded pre-K enrollment rose nearly 15% between 2021-22 and 2023-24. For example, in 2023-24, California was in its second year of expanding its universal transitional kindergarten (TK) program for 4-year-olds, and the state enrolled \u003ca href=\"https://nieer.org/yearbook/2024/state-profiles/california\" target=\"_blank\">nearly 36,000\u003c/a> more children in preschool or TK than the year before. Colorado and New Mexico are among other states that are rapidly expanding preschool access.\u003c/p>\n\n\n\n\u003cp>At the same time, K-12 enrollment fell almost 1% compared with the 2021-22 school year. The decrease is consistent with other data and could have to do with declining birthrates and an increase in private school and homeschooled students in some states, Gopalan says.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>2. School Discipline\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The number of students who were suspended increased across the board: 2.5 million students were punished with one or more out-of-school suspensions while 2.3 million students faced in-school suspensions in 2023-24. That’s up by about 100,000 students in each category compared with the last report from 2021-22. Notably, nearly 7 out of 10 public schools reported an increase in students seeking mental health services since the start of the COVID-19 pandemic, \u003ca href=\"https://ies.ed.gov/schoolsurvey/spp/\" target=\"_blank\">according to other federal data\u003c/a>.\u003c/p>\n\n\n\n\u003cp>While the increase in suspensions may seem modest, Losen says it shows that the pattern of keeping children out of school as punishment is still widespread in America’s public schools. His research shows that most districts suspend students for what he calls minor offenses rather than unsafe behavior. \u003c/p>\n\n\n\n\u003cp>“It could be truancy, it could be repeated tardiness, dress code violations.” Those missed days of school mean missed days of learning: Losen’s \u003ca href=\"https://learningpolicyinstitute.org/product/crdc-school-discipline-report\" target=\"_blank\">research shows that\u003c/a> about a decade ago, students were losing out on 11 million days of school because of suspensions. According to the latest CRDC, he says they missed over 14 million days in the 2023-24 school year. \u003c/p>\n\n\n\n\u003cp>“That lost instruction time matters more than people realize,” he says. “Even one out-of-school suspension greatly increases the risk of dropping out of a school or winding up in the juvenile justice system.”\u003c/p>\n\n\n\n\u003cp>He adds that suspensions are often an ineffective way to change behavior and that there are more constructive ways to help students, including with emotional support and better training for teachers.\u003c/p>\n\n\n\n\u003cp>Another persistent pattern with school discipline is who faces it: Losen says the latest data show that Black students lost over four times as many days of school compared to white peers because of out-of-school suspension.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>3. Students with disabilities\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The CRDC reinforces what other national data shows: The population of students with disabilities is on the rise, and boys make up a much bigger share than girls — nearly two-thirds — of these students. While the previous CRDC showed 17% of students had disabilities, the newest data show they made up 19% of all students enrolled in public schools. And they were suspended out of school at disproportionately high rates.\u003c/p>\n\n\n\n\u003cp>Losen says the lost days of school for these students don’t just mean they’re missing learning, it also means they may be losing out on key services they get during school, such as mental health counseling or physical therapy.\u003c/p>\n\n\n\n\u003cp>Disabled students are also among the least likely groups to be enrolled in Advanced Placement (AP) classes in high school. Losen says that’s a longstanding pattern, in part, because of assumptions that they can’t achieve at high levels. AP classes might not be the right fit for some students with intellectual disabilities, he says, but many students have disabilities that have little to do with their academic potential.\u003c/p>\n\n\n\n\u003cp>And Gopalan says these classes don’t just represent how much rigor students are exposed to. “These are all gateways to college, other opportunities beyond high school. And we see gaps in opportunity and access for students with disabilities.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>4. Teachers and other staff\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>For the first time since the 1970s, the latest CRDC gathered information about teachers’ race, ethnicity and sex. It found that the workforce is 75% white, 9% Black and 11% Latino — a drastically different makeup than the students they serve.\u003c/p>\n\n\n\n\u003cp>Gopalan says the data is valuable partly because teacher diversity can play a role in student success. For example, she says some research shows that “Black students have better achievement, better school discipline outcomes, and a whole host of other outcomes when they’re taught by Black teachers.” And \u003ca href=\"https://learningpolicyinstitute.org/product/diverse-teacher-workforce-report?\" target=\"_blank\">studies show\u003c/a> that having more Black or Latino teachers can help all students.\u003c/p>\n\n\n\n\u003cp>This collection also captures the qualifications of teachers. “Research shows that access to certified and experienced teachers and to counselors has a positive effect on who finishes high school, who graduates, and who goes on to colleges,” Gopalan says. Yet, more than 720,000 students go to schools where fewer than half of teachers met state certification requirements, and Black and Latino students make up 73% of those students. \u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>5. Nonbinary student data hidden\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Under President Joe Biden, the CRDC required schools to report the experiences of nonbinary students for the first time. The information was\u003cem> \u003c/em>collected for the 2023-24 school year, but the Trump administration chose not to release it, citing \u003ca href=\"https://www.whitehouse.gov/presidential-actions/2025/01/defending-women-from-gender-ideology-extremism-and-restoring-biological-truth-to-the-federal-government/\" target=\"_blank\">an executive order\u003c/a> that called for the federal government to “recognize two sexes, male and female.”\u003c/p>\n\n\n\n\u003cp>“There is no Civil Rights Data Collection where they intentionally collected data and then just suppressed it,” says Losen, who has been analyzing the CRDC for more than 25 years. He says students who are nonbinary are more likely to face difficulties like bullying at school. “Whatever kinds of injustices they’re experiencing, we would start to see that it was beginning to be reflected in those data, and now we can’t see it.” According to \u003ca href=\"https://williamsinstitute.law.ucla.edu/publications/trans-adults-united-states/\" target=\"_blank\">one UCLA analysis\u003c/a>, about 3% of children ages 13 to 17 identify as transgender nationwide, which includes nonbinary youth.\u003c/p>\n\n\n\n\u003cp>In an emailed statement, the Education Department did not answer NPR’s questions about its decision to withhold data on nonbinary students, instead highlighting the Trump administration’s priority to collect data about sexual offenses on school campuses.\u003c/p>\n\n\n\n\u003cp>Data for the next CRDC is being collected for the 2025-26 school year, according to the Department. While much of the survey will remain the same, all questions about nonbinary students have been removed from the list. Questions related to whether students are harassed or bullied on the basis of gender identity will also be removed.\u003c/p>\n\n\n\n\u003cp>\u003cem>Edited by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-123933/nirvi-shah\" target=\"_blank\">\u003cem>Nirvi Shah\u003c/em>\u003c/a>\u003cbr>\u003cem>Graphics by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-94607/rahul-mukherjee\" target=\"_blank\">\u003cem>Rahul Mukherjee\u003c/em>\u003c/a>\u003cbr>\u003cem>Visual design by \u003c/em>\u003ca href=\"https://www.npr.org/people/348775569/la-johnson\" target=\"_blank\">\u003cem>LA Johnson\u003c/em>\u003c/a>\u003c/p>\n\n\n\n\u003cp>\u003cstrong>Transcript:\u003c/strong>\u003c/p>\n\n\n\n\u003cp>A MARTÍNEZ, HOST:\u003c/p>\n\n\n\n\u003cp>Every couple of years, we learn about how students are being treated across every public school in the country. Now, it comes from a U.S. Department of Education survey called the Civil Rights Data Collection. NPR’s Jonaki Mehta has been in touch with experts who have started wrapping their heads around the latest data about the 2023-24 school year.\u003c/p>\n\n\n\n\u003cp>So, Jonaki, last time we had you on, the department finally published its data. But it was a little tricky for people like you and me to understand because of how it was released – hundreds of thousands of data points in dozens of spreadsheets. What do we know now?\u003c/p>\n\n\n\n\u003cp>JONAKI MEHTA, BYLINE: Yeah. So the department has put out a more digestible version. And I’ve been talking to experts who’ve been crunching the numbers, and I’m just going to tick through some of what they found. More kids are enrolled in preschool than they were in the 2021-22 school year, but K-12 enrollment declined slightly. The population of students with disabilities is growing. Black students are more likely than other students to be suspended, and teachers are far less diverse than the students they teach.\u003c/p>\n\n\n\n\u003cp>Now, those are some of the findings, and I’ll note one unusual thing about this report – the Trump administration actually hid data that was collected under the Biden administration about nonbinary students. And their reasoning? They cited an executive order that says that the federal government would only recognize two sexes – male and female.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: All right. So let’s talk about data that was actually in the report. Let’s start with teachers. Teacher diversity – let’s start there.\u003c/p>\n\n\n\n\u003cp>MEHTA: Yeah. So that’s actually one of the new things the report tells us because data about teachers’ race, ethnicity and sex has not been collected by the CRDC since the 1970s. And, A, to answer your question, research tells us more diverse teachers mean better outcomes for all students. But white teachers make up 75% of the workforce, while only 44% of public school students are white. And 9% of the teacher workforce is Black, while nearly 15% of American students are Black. There’s also a huge gap in Latino teachers and students – nearly 11% for teachers and 30% for students.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: OK. You mentioned Black students facing suspensions at higher rates than other students. Is that part of a continued pattern?\u003c/p>\n\n\n\n\u003cp>MEHTA: Yeah. Black students and kids with disabilities are some of the most likely to face suspensions, and that has been a pattern for a long time. But in the 2023 to ’24 school year, it got worse.\u003c/p>\n\n\n\n\u003cp>I talked to Dan Losen of the National Center for Youth Law. He studies school discipline, and he likes to think about suspensions in the number of school days lost. About a decade ago, he says students missed 11 million days of school in a year because of suspensions, and now that’s risen to 14 million days. And Black students lost over four times as many days of school than their white peers, and students with disabilities made up nearly a third of students who were suspended out of school. And Losen works with districts across the country and says he’s found that most kids get kicked out of school for what he calls minor offenses.\u003c/p>\n\n\n\n\u003cp>DAN LOSEN: It could be repeated tardiness, dress code violations. It could be disruption or defiance, but disruption could be just getting out of your seat too many times.\u003c/p>\n\n\n\n\u003cp>MEHTA: And he says these kinds of minor offenses might be better handled with support that helps change student behavior instead of suspending kids.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: Now, one more thing you mentioned earlier – K-12 enrollment being down, but more kids are in preschool. So connect the dots there for us.\u003c/p>\n\n\n\n\u003cp>MEHTA: Yeah. Preschool enrollment isn’t quite as high as before the pandemic, but it did go up 12% from 2021 to ’22. And that increase may have to do with some states investing in universal preschool programs the past few years – states like Colorado or California, where you and I are.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: All right. That’s NPR education correspondent Jonaki Mehta. Thanks a lot.\u003c/p>\n\n\n\n\u003cp>MEHTA: Thank you.\u003c/p>\n",
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"innerHTML": "\n\u003cp>The number of kids in preschool rose in the 2023-24 school year, while those in K-12 public schools declined. The population of students with disabilities grew. Black students were more likely to be suspended than students of other races. And the teacher workforce was far less diverse than the student population.\u003c/p>\n",
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"\n\u003cp>The number of kids in preschool rose in the 2023-24 school year, while those in K-12 public schools declined. The population of students with disabilities grew. Black students were more likely to be suspended than students of other races. And the teacher workforce was far less diverse than the student population.\u003c/p>\n"
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"innerHTML": "\n\u003cp>All of this information comes from the latest Civil Rights Data Collection (CRDC): a federal survey that paints one of the most comprehensive pictures of how American students are being treated at school. The federal government has been gathering this kind of information for over 50 years, partly to help the U.S. Education Department hold schools accountable for protecting student civil rights.\u003c/p>\n",
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"\n\u003cp>All of this information comes from the latest Civil Rights Data Collection (CRDC): a federal survey that paints one of the most comprehensive pictures of how American students are being treated at school. The federal government has been gathering this kind of information for over 50 years, partly to help the U.S. Education Department hold schools accountable for protecting student civil rights.\u003c/p>\n"
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"innerHTML": "\n\u003cp>The Trump administration published the latest CRDC from the 2023-24 school year \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\">six months later\u003c/a> than promised. When it finally \u003ca href=\"https://www.npr.org/2026/09/04/nx-s1-5955681/civil-rights-data-schools-trump\" target=\"_blank\">did share the information\u003c/a> on Aug. 31, collected from over 97,000 public schools, it was without a usual “First Look Report” that makes the information easier to understand for the public. Now, \u003ca href=\"https://www.ed.gov/media/document/2023-24-first-look-civil-rights-data-collection-september-30-2026-114593.pdf\" target=\"_blank\">that too\u003c/a>, is available.\u003c/p>\n",
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"\n\u003cp>The Trump administration published the latest CRDC from the 2023-24 school year \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\">six months later\u003c/a> than promised. When it finally \u003ca href=\"https://www.npr.org/2026/09/04/nx-s1-5955681/civil-rights-data-schools-trump\" target=\"_blank\">did share the information\u003c/a> on Aug. 31, collected from over 97,000 public schools, it was without a usual “First Look Report” that makes the information easier to understand for the public. Now, \u003ca href=\"https://www.ed.gov/media/document/2023-24-first-look-civil-rights-data-collection-september-30-2026-114593.pdf\" target=\"_blank\">that too\u003c/a>, is available.\u003c/p>\n"
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"innerHTML": "\n\u003cp>The findings are about 49.7 million public school students and include data on enrollment, harassment and the treatment of students with disabilities, among other things. But one group was left out: nonbinary students. While data on nonbinary students was collected under the Biden administration, the Trump administration chose to withhold it from the public release.\u003c/p>\n",
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"\n\u003cp>The findings are about 49.7 million public school students and include data on enrollment, harassment and the treatment of students with disabilities, among other things. But one group was left out: nonbinary students. While data on nonbinary students was collected under the Biden administration, the Trump administration chose to withhold it from the public release.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Maithreyi Gopalan of the University of Oregon, who helps lead the research and policy group \u003ca href=\"https://www.advancedequity.org/briefs/a-second-look-202324crdc\" target=\"_blank\">AdvancED Equity\u003c/a>, and Dan Losen of the National Center for Youth Law, both independently analyzed the data and shared some of what they learned with NPR.\u003c/p>\n",
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"\n\u003cp>Maithreyi Gopalan of the University of Oregon, who helps lead the research and policy group \u003ca href=\"https://www.advancedequity.org/briefs/a-second-look-202324crdc\" target=\"_blank\">AdvancED Equity\u003c/a>, and Dan Losen of the National Center for Youth Law, both independently analyzed the data and shared some of what they learned with NPR.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Here are five things they found striking:\u003c/p>\n",
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"\n\u003cp>Here are five things they found striking:\u003c/p>\n"
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"attrs": {
"text": "1. Public school enrollment",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>1. Public school enrollment\u003c/strong>\u003c/h2>\n",
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"\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>1. Public school enrollment\u003c/strong>\u003c/h2>\n"
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"innerHTML": "\n\u003cp>Some 1.5 million children were enrolled in public preschool programs — a 12% jump from the 2021-22 school year, but still slightly lower \u003ca href=\"https://nces.ed.gov/programs/digest/d24/tables/dt24_203.10.asp\" target=\"_blank\">than 2019\u003c/a>. “It’s part recovery, part expansion,” says Gopalan. By recovery, she means the number of preschoolers started rising again from a pandemic low. By expansion, Gopalan is referring to the fact that some states are investing more in early childhood education, which may account for some of the increases.\u003c/p>\n",
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"\n\u003cp>Some 1.5 million children were enrolled in public preschool programs — a 12% jump from the 2021-22 school year, but still slightly lower \u003ca href=\"https://nces.ed.gov/programs/digest/d24/tables/dt24_203.10.asp\" target=\"_blank\">than 2019\u003c/a>. “It’s part recovery, part expansion,” says Gopalan. By recovery, she means the number of preschoolers started rising again from a pandemic low. By expansion, Gopalan is referring to the fact that some states are investing more in early childhood education, which may account for some of the increases.\u003c/p>\n"
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"innerHTML": "\n\u003cp>According to the \u003ca href=\"https://nieer.org/yearbook/2024/executive-summary\" target=\"_blank\">National Institute for Early Education Research\u003c/a>, state-funded pre-K enrollment rose nearly 15% between 2021-22 and 2023-24. For example, in 2023-24, California was in its second year of expanding its universal transitional kindergarten (TK) program for 4-year-olds, and the state enrolled \u003ca href=\"https://nieer.org/yearbook/2024/state-profiles/california\" target=\"_blank\">nearly 36,000\u003c/a> more children in preschool or TK than the year before. Colorado and New Mexico are among other states that are rapidly expanding preschool access.\u003c/p>\n",
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"\n\u003cp>According to the \u003ca href=\"https://nieer.org/yearbook/2024/executive-summary\" target=\"_blank\">National Institute for Early Education Research\u003c/a>, state-funded pre-K enrollment rose nearly 15% between 2021-22 and 2023-24. For example, in 2023-24, California was in its second year of expanding its universal transitional kindergarten (TK) program for 4-year-olds, and the state enrolled \u003ca href=\"https://nieer.org/yearbook/2024/state-profiles/california\" target=\"_blank\">nearly 36,000\u003c/a> more children in preschool or TK than the year before. Colorado and New Mexico are among other states that are rapidly expanding preschool access.\u003c/p>\n"
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"innerHTML": "\n\u003cp>At the same time, K-12 enrollment fell almost 1% compared with the 2021-22 school year. The decrease is consistent with other data and could have to do with declining birthrates and an increase in private school and homeschooled students in some states, Gopalan says.\u003c/p>\n",
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"\n\u003cp>At the same time, K-12 enrollment fell almost 1% compared with the 2021-22 school year. The decrease is consistent with other data and could have to do with declining birthrates and an increase in private school and homeschooled students in some states, Gopalan says.\u003c/p>\n"
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"text": "2. School Discipline",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>2. School Discipline\u003c/strong>\u003c/h2>\n",
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"\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>2. School Discipline\u003c/strong>\u003c/h2>\n"
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"innerHTML": "\n\u003cp>The number of students who were suspended increased across the board: 2.5 million students were punished with one or more out-of-school suspensions while 2.3 million students faced in-school suspensions in 2023-24. That’s up by about 100,000 students in each category compared with the last report from 2021-22. Notably, nearly 7 out of 10 public schools reported an increase in students seeking mental health services since the start of the COVID-19 pandemic, \u003ca href=\"https://ies.ed.gov/schoolsurvey/spp/\" target=\"_blank\">according to other federal data\u003c/a>.\u003c/p>\n",
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"\n\u003cp>The number of students who were suspended increased across the board: 2.5 million students were punished with one or more out-of-school suspensions while 2.3 million students faced in-school suspensions in 2023-24. That’s up by about 100,000 students in each category compared with the last report from 2021-22. Notably, nearly 7 out of 10 public schools reported an increase in students seeking mental health services since the start of the COVID-19 pandemic, \u003ca href=\"https://ies.ed.gov/schoolsurvey/spp/\" target=\"_blank\">according to other federal data\u003c/a>.\u003c/p>\n"
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"innerHTML": "\n\u003cp>While the increase in suspensions may seem modest, Losen says it shows that the pattern of keeping children out of school as punishment is still widespread in America’s public schools. His research shows that most districts suspend students for what he calls minor offenses rather than unsafe behavior. \u003c/p>\n",
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"\n\u003cp>While the increase in suspensions may seem modest, Losen says it shows that the pattern of keeping children out of school as punishment is still widespread in America’s public schools. His research shows that most districts suspend students for what he calls minor offenses rather than unsafe behavior. \u003c/p>\n"
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"innerHTML": "\n\u003cp>“It could be truancy, it could be repeated tardiness, dress code violations.” Those missed days of school mean missed days of learning: Losen’s \u003ca href=\"https://learningpolicyinstitute.org/product/crdc-school-discipline-report\" target=\"_blank\">research shows that\u003c/a> about a decade ago, students were losing out on 11 million days of school because of suspensions. According to the latest CRDC, he says they missed over 14 million days in the 2023-24 school year. \u003c/p>\n",
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"\n\u003cp>“It could be truancy, it could be repeated tardiness, dress code violations.” Those missed days of school mean missed days of learning: Losen’s \u003ca href=\"https://learningpolicyinstitute.org/product/crdc-school-discipline-report\" target=\"_blank\">research shows that\u003c/a> about a decade ago, students were losing out on 11 million days of school because of suspensions. According to the latest CRDC, he says they missed over 14 million days in the 2023-24 school year. \u003c/p>\n"
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"innerHTML": "\n\u003cp>“That lost instruction time matters more than people realize,” he says. “Even one out-of-school suspension greatly increases the risk of dropping out of a school or winding up in the juvenile justice system.”\u003c/p>\n",
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"\n\u003cp>“That lost instruction time matters more than people realize,” he says. “Even one out-of-school suspension greatly increases the risk of dropping out of a school or winding up in the juvenile justice system.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>He adds that suspensions are often an ineffective way to change behavior and that there are more constructive ways to help students, including with emotional support and better training for teachers.\u003c/p>\n",
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"\n\u003cp>He adds that suspensions are often an ineffective way to change behavior and that there are more constructive ways to help students, including with emotional support and better training for teachers.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Another persistent pattern with school discipline is who faces it: Losen says the latest data show that Black students lost over four times as many days of school compared to white peers because of out-of-school suspension.\u003c/p>\n",
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"\n\u003cp>Another persistent pattern with school discipline is who faces it: Losen says the latest data show that Black students lost over four times as many days of school compared to white peers because of out-of-school suspension.\u003c/p>\n"
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"text": "3. Students with disabilities",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>3. Students with disabilities\u003c/strong>\u003c/h2>\n",
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"\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>3. Students with disabilities\u003c/strong>\u003c/h2>\n"
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"innerHTML": "\n\u003cp>The CRDC reinforces what other national data shows: The population of students with disabilities is on the rise, and boys make up a much bigger share than girls — nearly two-thirds — of these students. While the previous CRDC showed 17% of students had disabilities, the newest data show they made up 19% of all students enrolled in public schools. And they were suspended out of school at disproportionately high rates.\u003c/p>\n",
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"\n\u003cp>The CRDC reinforces what other national data shows: The population of students with disabilities is on the rise, and boys make up a much bigger share than girls — nearly two-thirds — of these students. While the previous CRDC showed 17% of students had disabilities, the newest data show they made up 19% of all students enrolled in public schools. And they were suspended out of school at disproportionately high rates.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Losen says the lost days of school for these students don’t just mean they’re missing learning, it also means they may be losing out on key services they get during school, such as mental health counseling or physical therapy.\u003c/p>\n",
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"\n\u003cp>Losen says the lost days of school for these students don’t just mean they’re missing learning, it also means they may be losing out on key services they get during school, such as mental health counseling or physical therapy.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Disabled students are also among the least likely groups to be enrolled in Advanced Placement (AP) classes in high school. Losen says that’s a longstanding pattern, in part, because of assumptions that they can’t achieve at high levels. AP classes might not be the right fit for some students with intellectual disabilities, he says, but many students have disabilities that have little to do with their academic potential.\u003c/p>\n",
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"\n\u003cp>Disabled students are also among the least likely groups to be enrolled in Advanced Placement (AP) classes in high school. Losen says that’s a longstanding pattern, in part, because of assumptions that they can’t achieve at high levels. AP classes might not be the right fit for some students with intellectual disabilities, he says, but many students have disabilities that have little to do with their academic potential.\u003c/p>\n"
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"innerHTML": "\n\u003cp>And Gopalan says these classes don’t just represent how much rigor students are exposed to. “These are all gateways to college, other opportunities beyond high school. And we see gaps in opportunity and access for students with disabilities.”\u003c/p>\n",
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"\n\u003cp>And Gopalan says these classes don’t just represent how much rigor students are exposed to. “These are all gateways to college, other opportunities beyond high school. And we see gaps in opportunity and access for students with disabilities.”\u003c/p>\n"
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"text": "4. Teachers and other staff",
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"\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>4. Teachers and other staff\u003c/strong>\u003c/h2>\n"
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"innerHTML": "\n\u003cp>For the first time since the 1970s, the latest CRDC gathered information about teachers’ race, ethnicity and sex. It found that the workforce is 75% white, 9% Black and 11% Latino — a drastically different makeup than the students they serve.\u003c/p>\n",
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"\n\u003cp>For the first time since the 1970s, the latest CRDC gathered information about teachers’ race, ethnicity and sex. It found that the workforce is 75% white, 9% Black and 11% Latino — a drastically different makeup than the students they serve.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Gopalan says the data is valuable partly because teacher diversity can play a role in student success. For example, she says some research shows that “Black students have better achievement, better school discipline outcomes, and a whole host of other outcomes when they’re taught by Black teachers.” And \u003ca href=\"https://learningpolicyinstitute.org/product/diverse-teacher-workforce-report?\" target=\"_blank\">studies show\u003c/a> that having more Black or Latino teachers can help all students.\u003c/p>\n",
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"\n\u003cp>Gopalan says the data is valuable partly because teacher diversity can play a role in student success. For example, she says some research shows that “Black students have better achievement, better school discipline outcomes, and a whole host of other outcomes when they’re taught by Black teachers.” And \u003ca href=\"https://learningpolicyinstitute.org/product/diverse-teacher-workforce-report?\" target=\"_blank\">studies show\u003c/a> that having more Black or Latino teachers can help all students.\u003c/p>\n"
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"innerHTML": "\n\u003cp>This collection also captures the qualifications of teachers. “Research shows that access to certified and experienced teachers and to counselors has a positive effect on who finishes high school, who graduates, and who goes on to colleges,” Gopalan says. Yet, more than 720,000 students go to schools where fewer than half of teachers met state certification requirements, and Black and Latino students make up 73% of those students. \u003c/p>\n",
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"\n\u003cp>This collection also captures the qualifications of teachers. “Research shows that access to certified and experienced teachers and to counselors has a positive effect on who finishes high school, who graduates, and who goes on to colleges,” Gopalan says. Yet, more than 720,000 students go to schools where fewer than half of teachers met state certification requirements, and Black and Latino students make up 73% of those students. \u003c/p>\n"
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"text": "5. Nonbinary student data hidden",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>5. Nonbinary student data hidden\u003c/strong>\u003c/h2>\n",
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"\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>5. Nonbinary student data hidden\u003c/strong>\u003c/h2>\n"
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"innerHTML": "\n\u003cp>Under President Joe Biden, the CRDC required schools to report the experiences of nonbinary students for the first time. The information was\u003cem> \u003c/em>collected for the 2023-24 school year, but the Trump administration chose not to release it, citing \u003ca href=\"https://www.whitehouse.gov/presidential-actions/2025/01/defending-women-from-gender-ideology-extremism-and-restoring-biological-truth-to-the-federal-government/\" target=\"_blank\">an executive order\u003c/a> that called for the federal government to “recognize two sexes, male and female.”\u003c/p>\n",
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"\n\u003cp>Under President Joe Biden, the CRDC required schools to report the experiences of nonbinary students for the first time. The information was\u003cem> \u003c/em>collected for the 2023-24 school year, but the Trump administration chose not to release it, citing \u003ca href=\"https://www.whitehouse.gov/presidential-actions/2025/01/defending-women-from-gender-ideology-extremism-and-restoring-biological-truth-to-the-federal-government/\" target=\"_blank\">an executive order\u003c/a> that called for the federal government to “recognize two sexes, male and female.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>“There is no Civil Rights Data Collection where they intentionally collected data and then just suppressed it,” says Losen, who has been analyzing the CRDC for more than 25 years. He says students who are nonbinary are more likely to face difficulties like bullying at school. “Whatever kinds of injustices they’re experiencing, we would start to see that it was beginning to be reflected in those data, and now we can’t see it.” According to \u003ca href=\"https://williamsinstitute.law.ucla.edu/publications/trans-adults-united-states/\" target=\"_blank\">one UCLA analysis\u003c/a>, about 3% of children ages 13 to 17 identify as transgender nationwide, which includes nonbinary youth.\u003c/p>\n",
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"\n\u003cp>“There is no Civil Rights Data Collection where they intentionally collected data and then just suppressed it,” says Losen, who has been analyzing the CRDC for more than 25 years. He says students who are nonbinary are more likely to face difficulties like bullying at school. “Whatever kinds of injustices they’re experiencing, we would start to see that it was beginning to be reflected in those data, and now we can’t see it.” According to \u003ca href=\"https://williamsinstitute.law.ucla.edu/publications/trans-adults-united-states/\" target=\"_blank\">one UCLA analysis\u003c/a>, about 3% of children ages 13 to 17 identify as transgender nationwide, which includes nonbinary youth.\u003c/p>\n"
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"innerHTML": "\n\u003cp>In an emailed statement, the Education Department did not answer NPR’s questions about its decision to withhold data on nonbinary students, instead highlighting the Trump administration’s priority to collect data about sexual offenses on school campuses.\u003c/p>\n",
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"\n\u003cp>In an emailed statement, the Education Department did not answer NPR’s questions about its decision to withhold data on nonbinary students, instead highlighting the Trump administration’s priority to collect data about sexual offenses on school campuses.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Data for the next CRDC is being collected for the 2025-26 school year, according to the Department. While much of the survey will remain the same, all questions about nonbinary students have been removed from the list. Questions related to whether students are harassed or bullied on the basis of gender identity will also be removed.\u003c/p>\n",
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"\n\u003cp>Data for the next CRDC is being collected for the 2025-26 school year, according to the Department. While much of the survey will remain the same, all questions about nonbinary students have been removed from the list. Questions related to whether students are harassed or bullied on the basis of gender identity will also be removed.\u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cem>Edited by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-123933/nirvi-shah\" target=\"_blank\">\u003cem>Nirvi Shah\u003c/em>\u003c/a>\u003cbr>\u003cem>Graphics by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-94607/rahul-mukherjee\" target=\"_blank\">\u003cem>Rahul Mukherjee\u003c/em>\u003c/a>\u003cbr>\u003cem>Visual design by \u003c/em>\u003ca href=\"https://www.npr.org/people/348775569/la-johnson\" target=\"_blank\">\u003cem>LA Johnson\u003c/em>\u003c/a>\u003c/p>\n",
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"\n\u003cp>\u003cem>Edited by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-123933/nirvi-shah\" target=\"_blank\">\u003cem>Nirvi Shah\u003c/em>\u003c/a>\u003cbr>\u003cem>Graphics by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-94607/rahul-mukherjee\" target=\"_blank\">\u003cem>Rahul Mukherjee\u003c/em>\u003c/a>\u003cbr>\u003cem>Visual design by \u003c/em>\u003ca href=\"https://www.npr.org/people/348775569/la-johnson\" target=\"_blank\">\u003cem>LA Johnson\u003c/em>\u003c/a>\u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cstrong>Transcript:\u003c/strong>\u003c/p>\n",
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"\n\u003cp>\u003cstrong>Transcript:\u003c/strong>\u003c/p>\n"
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"innerHTML": "\n\u003cp>A MARTÍNEZ, HOST:\u003c/p>\n",
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"\n\u003cp>A MARTÍNEZ, HOST:\u003c/p>\n"
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"innerHTML": "\n\u003cp>Every couple of years, we learn about how students are being treated across every public school in the country. Now, it comes from a U.S. Department of Education survey called the Civil Rights Data Collection. NPR’s Jonaki Mehta has been in touch with experts who have started wrapping their heads around the latest data about the 2023-24 school year.\u003c/p>\n",
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"\n\u003cp>Every couple of years, we learn about how students are being treated across every public school in the country. Now, it comes from a U.S. Department of Education survey called the Civil Rights Data Collection. NPR’s Jonaki Mehta has been in touch with experts who have started wrapping their heads around the latest data about the 2023-24 school year.\u003c/p>\n"
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"innerHTML": "\n\u003cp>So, Jonaki, last time we had you on, the department finally published its data. But it was a little tricky for people like you and me to understand because of how it was released – hundreds of thousands of data points in dozens of spreadsheets. What do we know now?\u003c/p>\n",
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"\n\u003cp>So, Jonaki, last time we had you on, the department finally published its data. But it was a little tricky for people like you and me to understand because of how it was released – hundreds of thousands of data points in dozens of spreadsheets. What do we know now?\u003c/p>\n"
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"innerHTML": "\n\u003cp>JONAKI MEHTA, BYLINE: Yeah. So the department has put out a more digestible version. And I’ve been talking to experts who’ve been crunching the numbers, and I’m just going to tick through some of what they found. More kids are enrolled in preschool than they were in the 2021-22 school year, but K-12 enrollment declined slightly. The population of students with disabilities is growing. Black students are more likely than other students to be suspended, and teachers are far less diverse than the students they teach.\u003c/p>\n",
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"\n\u003cp>JONAKI MEHTA, BYLINE: Yeah. So the department has put out a more digestible version. And I’ve been talking to experts who’ve been crunching the numbers, and I’m just going to tick through some of what they found. More kids are enrolled in preschool than they were in the 2021-22 school year, but K-12 enrollment declined slightly. The population of students with disabilities is growing. Black students are more likely than other students to be suspended, and teachers are far less diverse than the students they teach.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Now, those are some of the findings, and I’ll note one unusual thing about this report – the Trump administration actually hid data that was collected under the Biden administration about nonbinary students. And their reasoning? They cited an executive order that says that the federal government would only recognize two sexes – male and female.\u003c/p>\n",
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"\n\u003cp>Now, those are some of the findings, and I’ll note one unusual thing about this report – the Trump administration actually hid data that was collected under the Biden administration about nonbinary students. And their reasoning? They cited an executive order that says that the federal government would only recognize two sexes – male and female.\u003c/p>\n"
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"innerHTML": "\n\u003cp>MARTÍNEZ: All right. So let’s talk about data that was actually in the report. Let’s start with teachers. Teacher diversity – let’s start there.\u003c/p>\n",
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"\n\u003cp>MARTÍNEZ: All right. So let’s talk about data that was actually in the report. Let’s start with teachers. Teacher diversity – let’s start there.\u003c/p>\n"
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"innerHTML": "\n\u003cp>MEHTA: Yeah. So that’s actually one of the new things the report tells us because data about teachers’ race, ethnicity and sex has not been collected by the CRDC since the 1970s. And, A, to answer your question, research tells us more diverse teachers mean better outcomes for all students. But white teachers make up 75% of the workforce, while only 44% of public school students are white. And 9% of the teacher workforce is Black, while nearly 15% of American students are Black. There’s also a huge gap in Latino teachers and students – nearly 11% for teachers and 30% for students.\u003c/p>\n",
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"\n\u003cp>MEHTA: Yeah. So that’s actually one of the new things the report tells us because data about teachers’ race, ethnicity and sex has not been collected by the CRDC since the 1970s. And, A, to answer your question, research tells us more diverse teachers mean better outcomes for all students. But white teachers make up 75% of the workforce, while only 44% of public school students are white. And 9% of the teacher workforce is Black, while nearly 15% of American students are Black. There’s also a huge gap in Latino teachers and students – nearly 11% for teachers and 30% for students.\u003c/p>\n"
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"innerHTML": "\n\u003cp>MARTÍNEZ: OK. You mentioned Black students facing suspensions at higher rates than other students. Is that part of a continued pattern?\u003c/p>\n",
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"\n\u003cp>MARTÍNEZ: OK. You mentioned Black students facing suspensions at higher rates than other students. Is that part of a continued pattern?\u003c/p>\n"
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"innerHTML": "\n\u003cp>MEHTA: Yeah. Black students and kids with disabilities are some of the most likely to face suspensions, and that has been a pattern for a long time. But in the 2023 to ’24 school year, it got worse.\u003c/p>\n",
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"\n\u003cp>MEHTA: Yeah. Black students and kids with disabilities are some of the most likely to face suspensions, and that has been a pattern for a long time. But in the 2023 to ’24 school year, it got worse.\u003c/p>\n"
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"innerHTML": "\n\u003cp>I talked to Dan Losen of the National Center for Youth Law. He studies school discipline, and he likes to think about suspensions in the number of school days lost. About a decade ago, he says students missed 11 million days of school in a year because of suspensions, and now that’s risen to 14 million days. And Black students lost over four times as many days of school than their white peers, and students with disabilities made up nearly a third of students who were suspended out of school. And Losen works with districts across the country and says he’s found that most kids get kicked out of school for what he calls minor offenses.\u003c/p>\n",
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"\n\u003cp>I talked to Dan Losen of the National Center for Youth Law. He studies school discipline, and he likes to think about suspensions in the number of school days lost. About a decade ago, he says students missed 11 million days of school in a year because of suspensions, and now that’s risen to 14 million days. And Black students lost over four times as many days of school than their white peers, and students with disabilities made up nearly a third of students who were suspended out of school. And Losen works with districts across the country and says he’s found that most kids get kicked out of school for what he calls minor offenses.\u003c/p>\n"
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"innerHTML": "\n\u003cp>DAN LOSEN: It could be repeated tardiness, dress code violations. It could be disruption or defiance, but disruption could be just getting out of your seat too many times.\u003c/p>\n",
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"\n\u003cp>DAN LOSEN: It could be repeated tardiness, dress code violations. It could be disruption or defiance, but disruption could be just getting out of your seat too many times.\u003c/p>\n"
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"innerHTML": "\n\u003cp>MEHTA: And he says these kinds of minor offenses might be better handled with support that helps change student behavior instead of suspending kids.\u003c/p>\n",
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"\n\u003cp>MEHTA: And he says these kinds of minor offenses might be better handled with support that helps change student behavior instead of suspending kids.\u003c/p>\n"
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"innerHTML": "\n\u003cp>MARTÍNEZ: Now, one more thing you mentioned earlier – K-12 enrollment being down, but more kids are in preschool. So connect the dots there for us.\u003c/p>\n",
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"\n\u003cp>MARTÍNEZ: Now, one more thing you mentioned earlier – K-12 enrollment being down, but more kids are in preschool. So connect the dots there for us.\u003c/p>\n"
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"innerHTML": "\n\u003cp>MEHTA: Yeah. Preschool enrollment isn’t quite as high as before the pandemic, but it did go up 12% from 2021 to ’22. And that increase may have to do with some states investing in universal preschool programs the past few years – states like Colorado or California, where you and I are.\u003c/p>\n",
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"\n\u003cp>MEHTA: Yeah. Preschool enrollment isn’t quite as high as before the pandemic, but it did go up 12% from 2021 to ’22. And that increase may have to do with some states investing in universal preschool programs the past few years – states like Colorado or California, where you and I are.\u003c/p>\n"
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"innerHTML": "\n\u003cp>MARTÍNEZ: All right. That’s NPR education correspondent Jonaki Mehta. Thanks a lot.\u003c/p>\n",
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"excerpt": "The federal Civil Rights Data Collection, for the first time in decades, tells us about the teacher workforce and reminds us racial disparities are still stark in American public schools.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>The number of kids in preschool rose in the 2023-24 school year, while those in K-12 public schools declined. The population of students with disabilities grew. Black students were more likely to be suspended than students of other races. And the teacher workforce was far less diverse than the student population.\u003c/p>\n\n\n\n\u003cp>All of this information comes from the latest Civil Rights Data Collection (CRDC): a federal survey that paints one of the most comprehensive pictures of how American students are being treated at school. The federal government has been gathering this kind of information for over 50 years, partly to help the U.S. Education Department hold schools accountable for protecting student civil rights.\u003c/p>\n\n\n\n\u003cp>The Trump administration published the latest CRDC from the 2023-24 school year \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\">six months later\u003c/a> than promised. When it finally \u003ca href=\"https://www.npr.org/2026/09/04/nx-s1-5955681/civil-rights-data-schools-trump\" target=\"_blank\">did share the information\u003c/a> on Aug. 31, collected from over 97,000 public schools, it was without a usual “First Look Report” that makes the information easier to understand for the public. Now, \u003ca href=\"https://www.ed.gov/media/document/2023-24-first-look-civil-rights-data-collection-september-30-2026-114593.pdf\" target=\"_blank\">that too\u003c/a>, is available.\u003c/p>\n\n\n\n\u003cp>The findings are about 49.7 million public school students and include data on enrollment, harassment and the treatment of students with disabilities, among other things. But one group was left out: nonbinary students. While data on nonbinary students was collected under the Biden administration, the Trump administration chose to withhold it from the public release.\u003c/p>\n\n\n\n\u003cp>Maithreyi Gopalan of the University of Oregon, who helps lead the research and policy group \u003ca href=\"https://www.advancedequity.org/briefs/a-second-look-202324crdc\" target=\"_blank\">AdvancED Equity\u003c/a>, and Dan Losen of the National Center for Youth Law, both independently analyzed the data and shared some of what they learned with NPR.\u003c/p>\n\n\n\n\u003cp>Here are five things they found striking:\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>1. Public school enrollment\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Some 1.5 million children were enrolled in public preschool programs — a 12% jump from the 2021-22 school year, but still slightly lower \u003ca href=\"https://nces.ed.gov/programs/digest/d24/tables/dt24_203.10.asp\" target=\"_blank\">than 2019\u003c/a>. “It’s part recovery, part expansion,” says Gopalan. By recovery, she means the number of preschoolers started rising again from a pandemic low. By expansion, Gopalan is referring to the fact that some states are investing more in early childhood education, which may account for some of the increases.\u003c/p>\n\n\n\n\u003cp>According to the \u003ca href=\"https://nieer.org/yearbook/2024/executive-summary\" target=\"_blank\">National Institute for Early Education Research\u003c/a>, state-funded pre-K enrollment rose nearly 15% between 2021-22 and 2023-24. For example, in 2023-24, California was in its second year of expanding its universal transitional kindergarten (TK) program for 4-year-olds, and the state enrolled \u003ca href=\"https://nieer.org/yearbook/2024/state-profiles/california\" target=\"_blank\">nearly 36,000\u003c/a> more children in preschool or TK than the year before. Colorado and New Mexico are among other states that are rapidly expanding preschool access.\u003c/p>\n\n\n\n\u003cp>At the same time, K-12 enrollment fell almost 1% compared with the 2021-22 school year. The decrease is consistent with other data and could have to do with declining birthrates and an increase in private school and homeschooled students in some states, Gopalan says.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>2. School Discipline\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The number of students who were suspended increased across the board: 2.5 million students were punished with one or more out-of-school suspensions while 2.3 million students faced in-school suspensions in 2023-24. That’s up by about 100,000 students in each category compared with the last report from 2021-22. Notably, nearly 7 out of 10 public schools reported an increase in students seeking mental health services since the start of the COVID-19 pandemic, \u003ca href=\"https://ies.ed.gov/schoolsurvey/spp/\" target=\"_blank\">according to other federal data\u003c/a>.\u003c/p>\n\n\n\n\u003cp>While the increase in suspensions may seem modest, Losen says it shows that the pattern of keeping children out of school as punishment is still widespread in America’s public schools. His research shows that most districts suspend students for what he calls minor offenses rather than unsafe behavior. \u003c/p>\n\n\n\n\u003cp>“It could be truancy, it could be repeated tardiness, dress code violations.” Those missed days of school mean missed days of learning: Losen’s \u003ca href=\"https://learningpolicyinstitute.org/product/crdc-school-discipline-report\" target=\"_blank\">research shows that\u003c/a> about a decade ago, students were losing out on 11 million days of school because of suspensions. According to the latest CRDC, he says they missed over 14 million days in the 2023-24 school year. \u003c/p>\n\n\n\n\u003cp>“That lost instruction time matters more than people realize,” he says. “Even one out-of-school suspension greatly increases the risk of dropping out of a school or winding up in the juvenile justice system.”\u003c/p>\n\n\n\n\u003cp>He adds that suspensions are often an ineffective way to change behavior and that there are more constructive ways to help students, including with emotional support and better training for teachers.\u003c/p>\n\n\n\n\u003cp>Another persistent pattern with school discipline is who faces it: Losen says the latest data show that Black students lost over four times as many days of school compared to white peers because of out-of-school suspension.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>3. Students with disabilities\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The CRDC reinforces what other national data shows: The population of students with disabilities is on the rise, and boys make up a much bigger share than girls — nearly two-thirds — of these students. While the previous CRDC showed 17% of students had disabilities, the newest data show they made up 19% of all students enrolled in public schools. And they were suspended out of school at disproportionately high rates.\u003c/p>\n\n\n\n\u003cp>Losen says the lost days of school for these students don’t just mean they’re missing learning, it also means they may be losing out on key services they get during school, such as mental health counseling or physical therapy.\u003c/p>\n\n\n\n\u003cp>Disabled students are also among the least likely groups to be enrolled in Advanced Placement (AP) classes in high school. Losen says that’s a longstanding pattern, in part, because of assumptions that they can’t achieve at high levels. AP classes might not be the right fit for some students with intellectual disabilities, he says, but many students have disabilities that have little to do with their academic potential.\u003c/p>\n\n\n\n\u003cp>And Gopalan says these classes don’t just represent how much rigor students are exposed to. “These are all gateways to college, other opportunities beyond high school. And we see gaps in opportunity and access for students with disabilities.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>4. Teachers and other staff\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>For the first time since the 1970s, the latest CRDC gathered information about teachers’ race, ethnicity and sex. It found that the workforce is 75% white, 9% Black and 11% Latino — a drastically different makeup than the students they serve.\u003c/p>\n\n\n\n\u003cp>Gopalan says the data is valuable partly because teacher diversity can play a role in student success. For example, she says some research shows that “Black students have better achievement, better school discipline outcomes, and a whole host of other outcomes when they’re taught by Black teachers.” And \u003ca href=\"https://learningpolicyinstitute.org/product/diverse-teacher-workforce-report?\" target=\"_blank\">studies show\u003c/a> that having more Black or Latino teachers can help all students.\u003c/p>\n\n\n\n\u003cp>This collection also captures the qualifications of teachers. “Research shows that access to certified and experienced teachers and to counselors has a positive effect on who finishes high school, who graduates, and who goes on to colleges,” Gopalan says. Yet, more than 720,000 students go to schools where fewer than half of teachers met state certification requirements, and Black and Latino students make up 73% of those students. \u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>5. Nonbinary student data hidden\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Under President Joe Biden, the CRDC required schools to report the experiences of nonbinary students for the first time. The information was\u003cem> \u003c/em>collected for the 2023-24 school year, but the Trump administration chose not to release it, citing \u003ca href=\"https://www.whitehouse.gov/presidential-actions/2025/01/defending-women-from-gender-ideology-extremism-and-restoring-biological-truth-to-the-federal-government/\" target=\"_blank\">an executive order\u003c/a> that called for the federal government to “recognize two sexes, male and female.”\u003c/p>\n\n\n\n\u003cp>“There is no Civil Rights Data Collection where they intentionally collected data and then just suppressed it,” says Losen, who has been analyzing the CRDC for more than 25 years. He says students who are nonbinary are more likely to face difficulties like bullying at school. “Whatever kinds of injustices they’re experiencing, we would start to see that it was beginning to be reflected in those data, and now we can’t see it.” According to \u003ca href=\"https://williamsinstitute.law.ucla.edu/publications/trans-adults-united-states/\" target=\"_blank\">one UCLA analysis\u003c/a>, about 3% of children ages 13 to 17 identify as transgender nationwide, which includes nonbinary youth.\u003c/p>\n\n\n\n\u003cp>In an emailed statement, the Education Department did not answer NPR’s questions about its decision to withhold data on nonbinary students, instead highlighting the Trump administration’s priority to collect data about sexual offenses on school campuses.\u003c/p>\n\n\n\n\u003cp>Data for the next CRDC is being collected for the 2025-26 school year, according to the Department. While much of the survey will remain the same, all questions about nonbinary students have been removed from the list. Questions related to whether students are harassed or bullied on the basis of gender identity will also be removed.\u003c/p>\n\n\n\n\u003cp>\u003cem>Edited by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-123933/nirvi-shah\" target=\"_blank\">\u003cem>Nirvi Shah\u003c/em>\u003c/a>\u003cbr>\u003cem>Graphics by \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-94607/rahul-mukherjee\" target=\"_blank\">\u003cem>Rahul Mukherjee\u003c/em>\u003c/a>\u003cbr>\u003cem>Visual design by \u003c/em>\u003ca href=\"https://www.npr.org/people/348775569/la-johnson\" target=\"_blank\">\u003cem>LA Johnson\u003c/em>\u003c/a>\u003c/p>\n\n\n\n\u003cp>\u003cstrong>Transcript:\u003c/strong>\u003c/p>\n\n\n\n\u003cp>A MARTÍNEZ, HOST:\u003c/p>\n\n\n\n\u003cp>Every couple of years, we learn about how students are being treated across every public school in the country. Now, it comes from a U.S. Department of Education survey called the Civil Rights Data Collection. NPR’s Jonaki Mehta has been in touch with experts who have started wrapping their heads around the latest data about the 2023-24 school year.\u003c/p>\n\n\n\n\u003cp>So, Jonaki, last time we had you on, the department finally published its data. But it was a little tricky for people like you and me to understand because of how it was released – hundreds of thousands of data points in dozens of spreadsheets. What do we know now?\u003c/p>\n\n\n\n\u003cp>JONAKI MEHTA, BYLINE: Yeah. So the department has put out a more digestible version. And I’ve been talking to experts who’ve been crunching the numbers, and I’m just going to tick through some of what they found. More kids are enrolled in preschool than they were in the 2021-22 school year, but K-12 enrollment declined slightly. The population of students with disabilities is growing. Black students are more likely than other students to be suspended, and teachers are far less diverse than the students they teach.\u003c/p>\n\n\n\n\u003cp>Now, those are some of the findings, and I’ll note one unusual thing about this report – the Trump administration actually hid data that was collected under the Biden administration about nonbinary students. And their reasoning? They cited an executive order that says that the federal government would only recognize two sexes – male and female.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: All right. So let’s talk about data that was actually in the report. Let’s start with teachers. Teacher diversity – let’s start there.\u003c/p>\n\n\n\n\u003cp>MEHTA: Yeah. So that’s actually one of the new things the report tells us because data about teachers’ race, ethnicity and sex has not been collected by the CRDC since the 1970s. And, A, to answer your question, research tells us more diverse teachers mean better outcomes for all students. But white teachers make up 75% of the workforce, while only 44% of public school students are white. And 9% of the teacher workforce is Black, while nearly 15% of American students are Black. There’s also a huge gap in Latino teachers and students – nearly 11% for teachers and 30% for students.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: OK. You mentioned Black students facing suspensions at higher rates than other students. Is that part of a continued pattern?\u003c/p>\n\n\n\n\u003cp>MEHTA: Yeah. Black students and kids with disabilities are some of the most likely to face suspensions, and that has been a pattern for a long time. But in the 2023 to ’24 school year, it got worse.\u003c/p>\n\n\n\n\u003cp>I talked to Dan Losen of the National Center for Youth Law. He studies school discipline, and he likes to think about suspensions in the number of school days lost. About a decade ago, he says students missed 11 million days of school in a year because of suspensions, and now that’s risen to 14 million days. And Black students lost over four times as many days of school than their white peers, and students with disabilities made up nearly a third of students who were suspended out of school. And Losen works with districts across the country and says he’s found that most kids get kicked out of school for what he calls minor offenses.\u003c/p>\n\n\n\n\u003cp>DAN LOSEN: It could be repeated tardiness, dress code violations. It could be disruption or defiance, but disruption could be just getting out of your seat too many times.\u003c/p>\n\n\n\n\u003cp>MEHTA: And he says these kinds of minor offenses might be better handled with support that helps change student behavior instead of suspending kids.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: Now, one more thing you mentioned earlier – K-12 enrollment being down, but more kids are in preschool. So connect the dots there for us.\u003c/p>\n\n\n\n\u003cp>MEHTA: Yeah. Preschool enrollment isn’t quite as high as before the pandemic, but it did go up 12% from 2021 to ’22. And that increase may have to do with some states investing in universal preschool programs the past few years – states like Colorado or California, where you and I are.\u003c/p>\n\n\n\n\u003cp>MARTÍNEZ: All right. That’s NPR education correspondent Jonaki Mehta. Thanks a lot.\u003c/p>\n\n\n\n\u003cp>MEHTA: Thank you.\u003c/p>\n\u003c/div>\u003c/p>",
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"content": "\n\u003cp>Soon after the introduction of ChatGPT in November 2022, students figured out how to use the chatbot as an \u003ca href=\"https://hechingerreport.org/proof-points-offload-critical-thinking-ai/\">answer machine\u003c/a>, getting it to do their school work for them. Not surprisingly, that shortcut \u003ca href=\"https://hechingerreport.org/kids-chatgpt-worse-on-tests/\">harmed student learning\u003c/a> and led to \u003ca href=\"https://hechingerreport.org/proof-points-ai-eroding-math-skills/\">lower test scores\u003c/a>. \u003c/p>\n\n\n\n\u003cp>AI enthusiasts sought a solution. The chatbots could easily be instructed to act more like a human tutor, withholding answers, providing hints and guiding students with questions. Khan Academy created one of these “Socratic-method” chatbots, christened it “Khanmigo,” and released it in 2023.\u003c/p>\n\n\n\n\u003cp>But a new study that came out last month suggests that creating an AI tutor is only one hurdle among many in helping children improve their math skills. Students have to actually want to use it.\u003c/p>\n\n\n\n\u003cp>Researchers from the University of Toronto followed students in 18 Tennessee middle schools for two years, from 2024 to 2026. Almost all the students tried Khanmigo at first. And many tried to get the AI assistant to spit out the answer. But when Khanmigo refused and instead asked questions or offered hints, students largely stopped using it.\u003c/p>\n\n\n\n\u003cp>“We observe how students actually used the AI tutor, and the answer is: not much,” Philip Oreopoulos and Nina Low, the researchers, wrote in their \u003ca href=\"https://www.nber.org/papers/w35620\">draft paper\u003c/a>, circulated by the National Bureau of Economic Research in August. “Seeking help with one’s own confusion remained a choice, and most students declined it most of the time.”\u003c/p>\n\n\n\n\u003cp>The researchers were testing whether Khanmigo could improve the performance of low-achieving students who were at least one grade level behind their peers. These students had an extra remedial math period built into their school day. Some were randomly assigned to use Khan Academy, with Khanmigo available as an AI assistant. The others received their usual remedial math work, which often included online tools such as Waggle, IXL, Zearn and DeltaMath.\u003c/p>\n\n\n\n\u003cp>The students who received the Khan Academy intervention did better in math than those in the regular remediation classes. But the gains were modest, and no greater than what previous studies had found from Khan Academy practice sessions without an AI assistant.\u003c/p>\n\n\n\n\u003cp>In other words, Khan Academy appeared to help. But the Khanmigo tutor didn’t add anything. \u003c/p>\n\n\n\n\u003cp>Sal Khan, the founder and CEO of Khan Academy, praised the study and wrote a detailed \u003ca href=\"https://blog.khanacademy.org/what-i-found-compelling-in-a-new-randomized-trial-of-khan-academy-in-math-intervention/\">blog post\u003c/a> about it, explaining the randomized controlled trial (RCT) just the way he explains a math problem in his videos. In an interview, Khan said the findings confirmed what Khan Academy was seeing internally: Students weren’t engaging much with Khanmigo.\u003c/p>\n\n\n\n\u003cp>Khan said he doesn’t regret releasing the AI tutor before knowing whether it would be effective. He is confident the early release did “no harm” to students, saying his organization went to great lengths to protect student data, make chatbot conversations safe, prevent cheating and minimize the risk of the bot hallucinating and giving students incorrect instruction. “It’s allowed us to learn and hopefully make the new version even more helpful,” he said.\u003c/p>\n\n\n\n\u003cp>The version of Khanmigo tested in Tennessee was released in 2023. Since then, Khan said, the company has changed how the AI assistant works. Khanmigo is now integrated directly into Khan Academy rather than sitting in a separate tab that students have to click on. If students ask for help before trying a problem, Khanmigo is deliberately taciturn, offering little more than a hint and a pep talk. But after a student gets a problem wrong, the AI assistant automatically pops up to offer help and work through the problem together with the student. Schools can also choose to turn the AI assistant off completely.\u003c/p>\n\n\n\n\u003cp>Khan Academy is experimenting with more ways to encourage students to use the AI tutor. Khan said he plans to give students “credit” for using Khanmigo after a mistake, allowing a bot-assisted redo to count toward one of the five correct answers in a row that students need before moving on to the next skill. \u003c/p>\n\n\n\n\u003cp>It will be interesting to see whether these changes get students to use Khanmigo more. But use and engagement are only one piece of the puzzle. We still need evidence that when students regularly use an AI tutor, they actually learn more. I’ll be watching. \u003c/p>\n\n\n\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-khanmigo-math-ai-tutor/\">\u003cem>Khanmigo\u003c/em>\u003c/a>\u003cem>, an AI math tutor, was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"innerHTML": "\n\u003cp>Khan Academy is experimenting with more ways to encourage students to use the AI tutor. Khan said he plans to give students “credit” for using Khanmigo after a mistake, allowing a bot-assisted redo to count toward one of the five correct answers in a row that students need before moving on to the next skill. \u003c/p>\n",
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"innerHTML": "\n\u003cp>It will be interesting to see whether these changes get students to use Khanmigo more. But use and engagement are only one piece of the puzzle. We still need evidence that when students regularly use an AI tutor, they actually learn more. I’ll be watching. \u003c/p>\n",
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"\n\u003cp>It will be interesting to see whether these changes get students to use Khanmigo more. But use and engagement are only one piece of the puzzle. We still need evidence that when students regularly use an AI tutor, they actually learn more. I’ll be watching. \u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-khanmigo-math-ai-tutor/\">\u003cem>Khanmigo\u003c/em>\u003c/a>\u003cem>, an AI math tutor, was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-khanmigo-math-ai-tutor/\">\u003cem>Khanmigo\u003c/em>\u003c/a>\u003cem>, an AI math tutor, was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n"
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"excerpt": "A large study of Khan Academy’s math program found no extra benefits AI.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>Soon after the introduction of ChatGPT in November 2022, students figured out how to use the chatbot as an \u003ca href=\"https://hechingerreport.org/proof-points-offload-critical-thinking-ai/\">answer machine\u003c/a>, getting it to do their school work for them. Not surprisingly, that shortcut \u003ca href=\"https://hechingerreport.org/kids-chatgpt-worse-on-tests/\">harmed student learning\u003c/a> and led to \u003ca href=\"https://hechingerreport.org/proof-points-ai-eroding-math-skills/\">lower test scores\u003c/a>. \u003c/p>\n\n\n\n\u003cp>AI enthusiasts sought a solution. The chatbots could easily be instructed to act more like a human tutor, withholding answers, providing hints and guiding students with questions. Khan Academy created one of these “Socratic-method” chatbots, christened it “Khanmigo,” and released it in 2023.\u003c/p>\n\n\n\n\u003cp>But a new study that came out last month suggests that creating an AI tutor is only one hurdle among many in helping children improve their math skills. Students have to actually want to use it.\u003c/p>\n\n\n\n\u003cp>Researchers from the University of Toronto followed students in 18 Tennessee middle schools for two years, from 2024 to 2026. Almost all the students tried Khanmigo at first. And many tried to get the AI assistant to spit out the answer. But when Khanmigo refused and instead asked questions or offered hints, students largely stopped using it.\u003c/p>\n\n\n\n\u003cp>“We observe how students actually used the AI tutor, and the answer is: not much,” Philip Oreopoulos and Nina Low, the researchers, wrote in their \u003ca href=\"https://www.nber.org/papers/w35620\">draft paper\u003c/a>, circulated by the National Bureau of Economic Research in August. “Seeking help with one’s own confusion remained a choice, and most students declined it most of the time.”\u003c/p>\n\n\n\n\u003cp>The researchers were testing whether Khanmigo could improve the performance of low-achieving students who were at least one grade level behind their peers. These students had an extra remedial math period built into their school day. Some were randomly assigned to use Khan Academy, with Khanmigo available as an AI assistant. The others received their usual remedial math work, which often included online tools such as Waggle, IXL, Zearn and DeltaMath.\u003c/p>\n\n\n\n\u003cp>The students who received the Khan Academy intervention did better in math than those in the regular remediation classes. But the gains were modest, and no greater than what previous studies had found from Khan Academy practice sessions without an AI assistant.\u003c/p>\n\n\n\n\u003cp>In other words, Khan Academy appeared to help. But the Khanmigo tutor didn’t add anything. \u003c/p>\n\n\n\n\u003cp>Sal Khan, the founder and CEO of Khan Academy, praised the study and wrote a detailed \u003ca href=\"https://blog.khanacademy.org/what-i-found-compelling-in-a-new-randomized-trial-of-khan-academy-in-math-intervention/\">blog post\u003c/a> about it, explaining the randomized controlled trial (RCT) just the way he explains a math problem in his videos. In an interview, Khan said the findings confirmed what Khan Academy was seeing internally: Students weren’t engaging much with Khanmigo.\u003c/p>\n\n\n\n\u003cp>Khan said he doesn’t regret releasing the AI tutor before knowing whether it would be effective. He is confident the early release did “no harm” to students, saying his organization went to great lengths to protect student data, make chatbot conversations safe, prevent cheating and minimize the risk of the bot hallucinating and giving students incorrect instruction. “It’s allowed us to learn and hopefully make the new version even more helpful,” he said.\u003c/p>\n\n\n\n\u003cp>The version of Khanmigo tested in Tennessee was released in 2023. Since then, Khan said, the company has changed how the AI assistant works. Khanmigo is now integrated directly into Khan Academy rather than sitting in a separate tab that students have to click on. If students ask for help before trying a problem, Khanmigo is deliberately taciturn, offering little more than a hint and a pep talk. But after a student gets a problem wrong, the AI assistant automatically pops up to offer help and work through the problem together with the student. Schools can also choose to turn the AI assistant off completely.\u003c/p>\n\n\n\n\u003cp>Khan Academy is experimenting with more ways to encourage students to use the AI tutor. Khan said he plans to give students “credit” for using Khanmigo after a mistake, allowing a bot-assisted redo to count toward one of the five correct answers in a row that students need before moving on to the next skill. \u003c/p>\n\n\n\n\u003cp>It will be interesting to see whether these changes get students to use Khanmigo more. But use and engagement are only one piece of the puzzle. We still need evidence that when students regularly use an AI tutor, they actually learn more. I’ll be watching. \u003c/p>\n\n\n\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-khanmigo-math-ai-tutor/\">\u003cem>Khanmigo\u003c/em>\u003c/a>\u003cem>, an AI math tutor, was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\u003c/div>\u003c/p>",
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"slug": "15-states-have-laws-that-allow-corporal-punishment-in-schools-heres-where-and-why",
"title": "15 States Have Laws That Allow Corporal Punishment in Schools. Here's Where, and Why",
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"content": "\u003cp>One day, about eight years ago, when Tessa Davis’ son was in kindergarten, she got a call from his school outside Little Rock, Ark. She said the school told her he had grabbed a girl’s jacket in the cafeteria and twisted it – they thought he was trying to choke her.\u003c/p>\n\n\n\n\u003cp>Given his past misbehavior, Davis said, the school gave her two options: He could either be suspended for three days or a school administrator could paddle him. NPR is only identifying her son by his first initial, C, because this story details his behavioral struggles and how he’s been disciplined in school.\u003c/p>\n\n\n\n\u003cp>Davis said she couldn’t afford to miss three days of work to stay home with C.\u003c/p>\n\n\n\n\u003cp>“I was kind of at, just like my breaking point,” Davis recalled. “I told my husband that he could decide what we would do. And he was like, ‘Well, I was paddled, so give him the paddling.’ So that’s what we chose. And I just remember feeling like instant regret.”\u003c/p>\n\n\n\n\u003cp>After the paddling, she said C was scared to go back to school.\u003c/p>\n\n\n\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>“I just think he always struggled going to school then after that, for sure,” his mom said. “I mean he struggled before, but afterwards I felt like, especially in that building, he was always more tense, more aware and afraid. … One time he told me that he didn’t want to go to school there anymore because he was afraid that he was gonna get hurt.”\u003c/p>\n\n\n\n\u003cp>The American Academy of Child and Adolescent Psychiatry defines corporal punishment as “anything done to cause pain or discomfort” in response to a child’s behavior. In schools, that often means a paddling.\u003c/p>\n\n\n\n\u003cp>There is broad consensus among psychologists that corporal punishment can be harmful to children, but the U.S. has no federal laws banning it in public schools. Instead, it’s up to states and local districts to decide if it can be used, and many states and local districts still require parents to consent.\u003c/p>\n\n\n\n\u003cp>And while corporal punishment is much less common today than in the past – when it was used for everyday discipline as well as to \u003ca href=\"https://www.npr.org/2017/10/20/558739863/the-day-a-texas-school-held-a-funeral-for-the-spanish-language\" target=\"_blank\">punish students for speaking languages other than English\u003c/a> and, in federal Indian boarding schools, to \u003ca href=\"https://www.edweek.org/leadership/native-american-children-endured-brutal-treatment-in-u-s-boarding-schools-federal-report-shows/2022/05\" target=\"_blank\">force Native children to assimilate\u003c/a> – it still happens.\u003c/p>\n\n\n\n\u003cp>The most recent data from the U.S. Department of Education’s Civil Rights Data Collection, or CRDC, shows almost 32,000 reported instances of corporal punishment being used on K-12 students in the 2021-’22 school year. That’s about 1 reported incident per 2,000 students.\u003c/p>\n\n\n\n\u003cfigure class=\"wp-block-image size-full\">\u003ca href=\"https://www.npr.org/2026/08/19/nx-s1-5803505/school-corporal-punishment-policy-tracker\">\u003cimg loading=\"lazy\" decoding=\"async\" width=\"2080\" height=\"1442\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment.png\" alt=\"\" class=\"wp-image-66559\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment.png 2080w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-2000x1387.png 2000w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-160x111.png 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-768x532.png 768w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-1536x1065.png 1536w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-2048x1420.png 2048w\" sizes=\"auto, (max-width: 2080px) 100vw, 2080px\">\u003c/a>\u003c/figure>\n\n\n\n\u003cp>\u003cbr>\u003cbr>The public schools in C’s home state, Arkansas, have some of the highest rates of corporal punishment in the country, second only to Mississippi.\u003c/p>\n\n\n\n\u003cp>An NPR analysis found that 15 states allow schools to employ corporal punishment, though the practice may be banned at the local level. Thirty states plus Washington, D.C., have passed laws that explicitly ban corporal punishment in all public schools. And the remaining states don’t explicitly ban the practice – some have other laws that have been interpreted as bans, and others have no laws at all.\u003c/p>\n\n\n\n\u003cp>Almost all of the country’s reported instances of public school corporal punishment happened in eight states – primarily in the South – according to federal data.\u003c/p>\n\n\n\n\u003cp>Morgan Craven advocates for ending corporal punishment nationally in public schools. She is a policy expert with the Intercultural Development Research Association (IDRA), a group that promotes equal educational opportunities, primarily in the South.\u003c/p>\n\n\n\n\u003cp>She said that in some communities in the South, spanking or other types of corporal punishment can be rooted in faith-based beliefs or other types of community norms.\u003c/p>\n\n\n\n\u003cp>“There is this belief that corporal punishment … is not harmful at all, but is actually part of the expectation that some communities have for raising children,” Craven said.\u003c/p>\n\n\n\n\u003cp>Because of the cultural connections in these areas, she said, “talking about ending corporal punishment in schools feels like some indictment of the way that they were raised or what was passed down in their own families.”\u003c/p>\n\n\n\n\u003cp>But not everyone accepts those norms. “There are also many communities in the South,” she said, “who are pushing back against physical violence as a way to discipline children and really want to challenge those understandings.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>“The spankings never made the behavior stop”\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Tessa Davis said she and her husband both grew up in households that used corporal punishment, so choosing it for their own family felt natural.\u003c/p>\n\n\n\n\u003cp>“That’s how I was raised, so that’s what I was trying and it definitely was not working. … The spankings never made the behavior stop, ever,” she said. “In fact, it made it worse.”\u003c/p>\n\n\n\n\u003cp>Davis and her husband adopted C when he was a toddler, and she said he always had a lot of trouble separating from her.\u003c/p>\n\n\n\n\u003cp>“Crying, screaming, yelling, melting down, following me out the door, running out the doors, those kinds of things,” she explained. “That was like a daily occurrence for him.”\u003c/p>\n\n\n\n\u003cp>Which meant he often started the school day in a heightened state. “Always in fight or flight, for sure,” his mom said.\u003c/p>\n\n\n\n\u003cp>After the paddling, Davis and her husband changed their approach to discipline. She said they no longer use corporal punishment at home, or allow it at school, and she started publicly advocating against it being used in schools.\u003c/p>\n\n\n\n\u003cp>“I still want him to be held accountable, but also in a way that’s safe for him and for everybody else,” she said.\u003c/p>\n\n\n\n\u003cp>Today, C is 13 and he loves to dance – everything from musical theater and jazz to hip hop.\u003c/p>\n\n\n\n\u003cp>His mom described him as a helpful kid and good brother. He still struggles sometimes with his emotions or behavior, but she said he’s now able to accept the consequences, which no longer include paddling.\u003c/p>\n\n\n\n\u003cp>Davis recalled a recent incident that happened at school – instead of trying to hide it from her, as he might have done in the past, he told her right away.\u003c/p>\n\n\n\n\u003cp>“I got home, he immediately told me, he immediately was very apologetic,” she said.\u003c/p>\n\n\n\n\u003cp>“Then he also told me, you know, ‘The assistant principal says I’m going to get a consequence.’ And I was like, ‘You know that’s a bummer, dude, but you know, you can’t do those behaviors.'”\u003c/p>\n\n\n\n\u003cp>Despite occasional outbursts, Davis said she thinks C has learned to regulate his emotions better than he would have had she continued using corporal punishment.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What the data shows\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The best available data on corporal punishment in public schools comes from CRDC, and it dates to the 2021-’22 school year. CRDC traditionally publishes updated data about every two years, but the latest release, for the 2023-’24 school year, is \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\" rel=\"noreferrer noopener\">more than six months late\u003c/a>.\u003c/p>\n\n\n\n\u003cp>Even when new data is available, it’s limited, because not all school districts report incidents of corporal punishment to the federal government.\u003c/p>\n\n\n\n\u003cp>The federal data that \u003cem>is\u003c/em> available shows more than just how often corporal punishment may be happening. It also gives a sense of which students may be more likely to experience it.\u003c/p>\n\n\n\n\u003cp>For example, \u003ca href=\"https://www.ed.gov/media/document/corporal-punishment-part-4pdf-21386.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">an Education Department analysis of data from the 2017-’18 school year\u003c/a> shows boys were more likely than girls to receive corporal punishment. And compared to each group’s enrollment levels, white, Black and Native American or Alaska Native boys all experienced corporal punishment at disproportionately high rates, according to \u003ca href=\"https://www.ed.gov/media/document/crdc-discipline-school-climate-reportpdf-21409.pdf#:~:text=who%20received%20corporal%20punishment%20in%20public%20schools.,K%2D12%20student%20enrollment%2C%20but%2050%25%20of%20students.\" target=\"_blank\" rel=\"noreferrer noopener\">a federal analysis of data from the 2020-’21 school year\u003c/a>.\u003c/p>\n\n\n\n\u003cp>A \u003ca href=\"https://academic.oup.com/socpro/article-abstract/68/1/41/5628172?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noreferrer noopener\">2021 study\u003c/a> published in the journal \u003cem>Social Problems\u003c/em> used federal data to look at the relationship between a region’s history of lynchings and the present-day use of corporal punishment in public schools. In counties where more lynchings occurred, the researchers found a higher likelihood of students experiencing corporal punishment at school and “that lynching is particularly predictive of corporal punishment for black students.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>The negative impacts of corporal punishment \u003c/strong>\u003c/h2>\n\n\n\n\u003cp>According to the \u003ca href=\"https://www.apa.org/about/policy/corporal-punishment\" target=\"_blank\" rel=\"noreferrer noopener\">American Psychological Association\u003c/a>, corporal punishment “may create in the child the impression that he or she is an ‘undesirable person’; and an impression that lowers self-esteem and may have chronic consequences.”\u003c/p>\n\n\n\n\u003cp>Joan Durrant is a child developmental psychologist in Manitoba, Canada. She has spent her career researching corporal punishment, and she said it doesn’t work the way parents and educators often hope it will. “It really fuels dishonesty,” she said. “You learn how to lie. You learn to avoid punishment.”\u003c/p>\n\n\n\n\u003cp>She said corporal punishment often teaches children that violence is an acceptable method of resolving conflict, and an overwhelming amount of research has found a connection between the practice and an increase in aggressive behavior.\u003c/p>\n\n\n\n\u003cp>“It’s providing a very powerful model by the people that they revere as knowing everything, that this is how you deal with your frustration,” Durrant said.\u003c/p>\n\n\n\n\u003cp>And while not all children who experience corporal punishment become more aggressive, Durrant emphasized that corporal punishment can erode relationships and lead to other chronic issues like anxiety, depression and addiction. Research also shows corporal punishment to \u003ca href=\"https://link.springer.com/article/10.1007/s10896-025-00864-7\" target=\"_blank\" rel=\"noreferrer noopener\">be a risk factor for intimate partner violence\u003c/a> later in life, both as a victim and as a perpetrator.\u003c/p>\n\n\n\n\u003cp>Durrant said the negative impacts of corporal punishment are clear and backed by hundreds of studies conducted since the mid-20th century. She said there are limited, peer-reviewed studies that challenge those broader findings, but she questions some of their methods.\u003c/p>\n\n\n\n\u003ch3 class=\"wp-block-heading\">\u003c/h3>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>“You’re at a disadvantage” when a child knows they can’t be spanked\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Randy Randleman is a licensed psychologist who works with school children. Unlike many of his peers, he believes corporal punishment can be a helpful tool for schools. He’s based in Oklahoma, where school corporal punishment is legal.\u003c/p>\n\n\n\n\u003cp>“I’ve worked in over 150 small schools in Oklahoma,” he said. “I go out here every day and I see there’s a small group of kids that, if they knew they would get a paddling – oh, [the misbehavior is] done. So why would you give that up?”\u003c/p>\n\n\n\n\u003cp>Randleman said he helps schools implement their disciplinary procedures. Sometimes, schools will call him in to conduct a psychological evaluation of a particular student and to help determine how to respond to that student’s misbehavior. Randleman previously served as an Oklahoma state representative. While in office, he said, he opposed proposals to ban corporal punishment for students with disabilities. A similar bill ultimately passed, but Randleman said he stands by his opposition.\u003c/p>\n\n\n\n\u003cp>With the exception of children with intellectual disabilities, he said, “you’re at a disadvantage” when a child knows they can’t be spanked. He points to children who are making conscious decisions to misbehave and who may also have diagnoses such as speech disorders. He said taking away corporal punishment could give such students license to act with impunity.\u003c/p>\n\n\n\n\u003cp>Still, he said he considers corporal punishment a last resort: “I would never [recommend that a school] spank a child unless it was just behavioral.” Meaning, he said, a student is making a conscious choice to be defiant, something he determines in his student evaluations.\u003c/p>\n\n\n\n\u003cp>If corporal punishment doesn’t succeed in changing the student’s behavior, he said it’s probably time for a different approach. He said, as a child, he often got spanked – sometimes for behaviors that were out of his control, which he now attributes to his ADHD.\u003c/p>\n\n\n\n\u003cp>“And you could spank me a hundred times and it wouldn’t make me any [different].” What did help, he said, was taking away his basketball practices.\u003c/p>\n\n\n\n\u003cp>Randleman acknowledges that physical discipline can sometimes go too far. NPR asked him about a 2025 news report from ABC affiliate WTOK, which described a local incident in which a Mississippi school staffer \u003ca href=\"https://www.wtok.com/2025/03/06/heidelberg-mom-demanding-answers-school-leaders-after-sons-arm-broken-during-paddling/\" target=\"_blank\" rel=\"noreferrer noopener\">broke a student’s arm\u003c/a> during a paddling. In cases like that, Randleman said, “It should have been stopped before you even got to that level.”\u003c/p>\n\n\n\n\u003cp>But he said he still doesn’t think it should be legislated away. “I don’t want any consequences taken away from me,” he said.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What corporal punishment looks like in one district\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Warner Public Schools, roughly 70 miles southeast of Tulsa, is among the highest achieving districts in Oklahoma. David Vinson is the superintendent, and he’s a proponent for allowing districts to make their own rules about corporal punishment.\u003c/p>\n\n\n\n\u003cp>“I’ve been here for 14 years,” Vinson said. “We’ve allowed corporal punishment that whole time.”\u003c/p>\n\n\n\n\u003cp>His district is in a small, rural community and serves about 860 students, most of them from low-income households. He said many of his students are Native American.\u003c/p>\n\n\n\n\u003cp>Vinson said he isn’t advocating for other schools to use corporal punishment. But he doesn’t want the option taken away for his district, even though he said it’s rarely used. The threat of a paddling alone is often enough to curb unwanted behavior, he said, and corporal punishment allows students to stay in the classroom for infractions that would have otherwise resulted in suspension.\u003c/p>\n\n\n\n\u003cp>“The fact that we can paddle, I think, is a great deterrent to a lot of kids,” he explained.\u003c/p>\n\n\n\n\u003cp>In the last eight years, Warner High School Principal, Brian Hummingbird, who is Cherokee, said he’s only paddled two students – both at a parent’s request. (Hummingbird recently accepted a new job as superintendent of a nearby district.) Warner’s middle school principal, Jeramy Branchcomb, said he has never spanked a student, but “If I did it every time a parent asks me to do it, I’d be doing it every week.”\u003c/p>\n\n\n\n\u003cp>Vinson said corporal punishment is primarily used at the elementary school level, usually with pre-K and kindergarten students.\u003c/p>\n\n\n\n\u003cp>The elementary school principal, Alan Gordon, said students know about his paddles – one named Peace and one named Harmony.\u003c/p>\n\n\n\n\u003cp>“The shop teacher made my paddles for me,” said Gordon, who is Cherokee. “He made me two identical paddles and all my kids, they know, ‘Oh, we don’t want to see Peace and Harmony.'”\u003c/p>\n\n\n\n\u003cp>Gordon said a student only receives a paddling after they have been sent to his office multiple times and have served lunch detention for the same infraction. Parents must authorize the use of corporal punishment by signing a form at the beginning of the school year, and Gordon also calls parents before he paddles a student – even, he said, when parents have previously told him to “just swat them. You don’t even have to call.”\u003c/p>\n\n\n\n\u003cp>Once that call is done, Gordon said, “I sit right here before I even spank them and we have a conversation about what they did and why we’re here and what we’re doing.”\u003c/p>\n\n\n\n\u003cp>When it’s time for the paddling, he said, he tells the student to focus on a poster above his desk that reads, “Excellence is not an act, but a habit.”\u003c/p>\n\n\n\n\u003cp>Then, he said, “They place their hands flat on the desk, they look at the picture and they spread their legs apart.”\u003c/p>\n\n\n\n\u003cp>And Gordon “swats” them, usually twice.\u003c/p>\n\n\n\n\u003cp>Afterward, he said he often gives the student a hug and tells them they’re loved. Occasionally a student gets a nap time. Others get sent right back to class.\u003c/p>\n\n\n\n\u003cp>“I think people need to understand this: We are not over here advocating for you to beat your child. That is not what that is,” Gordon said. “I think that the responsible use of discipline can change kids’ lives.”\u003c/p>\n\n\n\n\u003cp>Ultimately, he supports the rights of parents and schools to allow corporal punishment — even if many people, and the research, disagree.\u003c/p>\n\n\n\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>\u003cem>Edited by: \u003c/em>\u003ca href=\"https://www.npr.org/people/348780034/nicole-cohen\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Nicole Cohen\u003c/em>\u003c/a>\u003cbr>\u003cem>Audio story produced by: \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-90680/kadin-mills\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Kadin Mills\u003c/em>\u003c/a>\u003cem> and \u003c/em>\u003ca href=\"https://www.npr.org/people/348774853/lauren-migaki\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Lauren Migaki\u003c/em>\u003c/a>\u003cbr>\u003cem>Research by: \u003c/em>\u003ca href=\"https://www.npr.org/people/1104778094/will-chase\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Will Chase\u003c/em>\u003c/a>\u003cbr>\u003cem>Visual design and development by: \u003c/em>\u003ca href=\"https://www.npr.org/people/348775569/la-johnson\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>LA Johnson\u003c/em>\u003c/a>\u003c/p>\n\n",
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"innerHTML": "\n\u003cp>One day, about eight years ago, when Tessa Davis’ son was in kindergarten, she got a call from his school outside Little Rock, Ark. She said the school told her he had grabbed a girl’s jacket in the cafeteria and twisted it – they thought he was trying to choke her.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Given his past misbehavior, Davis said, the school gave her two options: He could either be suspended for three days or a school administrator could paddle him. NPR is only identifying her son by his first initial, C, because this story details his behavioral struggles and how he’s been disciplined in school.\u003c/p>\n",
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"\n\u003cp>Given his past misbehavior, Davis said, the school gave her two options: He could either be suspended for three days or a school administrator could paddle him. NPR is only identifying her son by his first initial, C, because this story details his behavioral struggles and how he’s been disciplined in school.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“I was kind of at, just like my breaking point,” Davis recalled. “I told my husband that he could decide what we would do. And he was like, ‘Well, I was paddled, so give him the paddling.’ So that’s what we chose. And I just remember feeling like instant regret.”\u003c/p>\n",
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"\n\u003cp>“I was kind of at, just like my breaking point,” Davis recalled. “I told my husband that he could decide what we would do. And he was like, ‘Well, I was paddled, so give him the paddling.’ So that’s what we chose. And I just remember feeling like instant regret.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>After the paddling, she said C was scared to go back to school.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“I just think he always struggled going to school then after that, for sure,” his mom said. “I mean he struggled before, but afterwards I felt like, especially in that building, he was always more tense, more aware and afraid. … One time he told me that he didn’t want to go to school there anymore because he was afraid that he was gonna get hurt.”\u003c/p>\n",
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"\n\u003cp>“I just think he always struggled going to school then after that, for sure,” his mom said. “I mean he struggled before, but afterwards I felt like, especially in that building, he was always more tense, more aware and afraid. … One time he told me that he didn’t want to go to school there anymore because he was afraid that he was gonna get hurt.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>The American Academy of Child and Adolescent Psychiatry defines corporal punishment as “anything done to cause pain or discomfort” in response to a child’s behavior. In schools, that often means a paddling.\u003c/p>\n",
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"\n\u003cp>The American Academy of Child and Adolescent Psychiatry defines corporal punishment as “anything done to cause pain or discomfort” in response to a child’s behavior. In schools, that often means a paddling.\u003c/p>\n"
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"innerHTML": "\n\u003cp>There is broad consensus among psychologists that corporal punishment can be harmful to children, but the U.S. has no federal laws banning it in public schools. Instead, it’s up to states and local districts to decide if it can be used, and many states and local districts still require parents to consent.\u003c/p>\n",
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"\n\u003cp>There is broad consensus among psychologists that corporal punishment can be harmful to children, but the U.S. has no federal laws banning it in public schools. Instead, it’s up to states and local districts to decide if it can be used, and many states and local districts still require parents to consent.\u003c/p>\n"
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"innerHTML": "\n\u003cp>And while corporal punishment is much less common today than in the past – when it was used for everyday discipline as well as to \u003ca href=\"https://www.npr.org/2017/10/20/558739863/the-day-a-texas-school-held-a-funeral-for-the-spanish-language\" target=\"_blank\">punish students for speaking languages other than English\u003c/a> and, in federal Indian boarding schools, to \u003ca href=\"https://www.edweek.org/leadership/native-american-children-endured-brutal-treatment-in-u-s-boarding-schools-federal-report-shows/2022/05\" target=\"_blank\">force Native children to assimilate\u003c/a> – it still happens.\u003c/p>\n",
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"\n\u003cp>And while corporal punishment is much less common today than in the past – when it was used for everyday discipline as well as to \u003ca href=\"https://www.npr.org/2017/10/20/558739863/the-day-a-texas-school-held-a-funeral-for-the-spanish-language\" target=\"_blank\">punish students for speaking languages other than English\u003c/a> and, in federal Indian boarding schools, to \u003ca href=\"https://www.edweek.org/leadership/native-american-children-endured-brutal-treatment-in-u-s-boarding-schools-federal-report-shows/2022/05\" target=\"_blank\">force Native children to assimilate\u003c/a> – it still happens.\u003c/p>\n"
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"innerHTML": "\n\u003cp>The most recent data from the U.S. Department of Education’s Civil Rights Data Collection, or CRDC, shows almost 32,000 reported instances of corporal punishment being used on K-12 students in the 2021-’22 school year. That’s about 1 reported incident per 2,000 students.\u003c/p>\n",
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"\n\u003cp>The most recent data from the U.S. Department of Education’s Civil Rights Data Collection, or CRDC, shows almost 32,000 reported instances of corporal punishment being used on K-12 students in the 2021-’22 school year. That’s about 1 reported incident per 2,000 students.\u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cbr>\u003cbr>The public schools in C’s home state, Arkansas, have some of the highest rates of corporal punishment in the country, second only to Mississippi.\u003c/p>\n",
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"\n\u003cp>\u003cbr>\u003cbr>The public schools in C’s home state, Arkansas, have some of the highest rates of corporal punishment in the country, second only to Mississippi.\u003c/p>\n"
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"innerHTML": "\n\u003cp>An NPR analysis found that 15 states allow schools to employ corporal punishment, though the practice may be banned at the local level. Thirty states plus Washington, D.C., have passed laws that explicitly ban corporal punishment in all public schools. And the remaining states don’t explicitly ban the practice – some have other laws that have been interpreted as bans, and others have no laws at all.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Almost all of the country’s reported instances of public school corporal punishment happened in eight states – primarily in the South – according to federal data.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Morgan Craven advocates for ending corporal punishment nationally in public schools. She is a policy expert with the Intercultural Development Research Association (IDRA), a group that promotes equal educational opportunities, primarily in the South.\u003c/p>\n",
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"\n\u003cp>Morgan Craven advocates for ending corporal punishment nationally in public schools. She is a policy expert with the Intercultural Development Research Association (IDRA), a group that promotes equal educational opportunities, primarily in the South.\u003c/p>\n"
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"innerHTML": "\n\u003cp>She said that in some communities in the South, spanking or other types of corporal punishment can be rooted in faith-based beliefs or other types of community norms.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“There is this belief that corporal punishment … is not harmful at all, but is actually part of the expectation that some communities have for raising children,” Craven said.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Because of the cultural connections in these areas, she said, “talking about ending corporal punishment in schools feels like some indictment of the way that they were raised or what was passed down in their own families.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>But not everyone accepts those norms. “There are also many communities in the South,” she said, “who are pushing back against physical violence as a way to discipline children and really want to challenge those understandings.”\u003c/p>\n",
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"\n\u003cp>But not everyone accepts those norms. “There are also many communities in the South,” she said, “who are pushing back against physical violence as a way to discipline children and really want to challenge those understandings.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Tessa Davis said she and her husband both grew up in households that used corporal punishment, so choosing it for their own family felt natural.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“That’s how I was raised, so that’s what I was trying and it definitely was not working. … The spankings never made the behavior stop, ever,” she said. “In fact, it made it worse.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>“Crying, screaming, yelling, melting down, following me out the door, running out the doors, those kinds of things,” she explained. “That was like a daily occurrence for him.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>After the paddling, Davis and her husband changed their approach to discipline. She said they no longer use corporal punishment at home, or allow it at school, and she started publicly advocating against it being used in schools.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“I still want him to be held accountable, but also in a way that’s safe for him and for everybody else,” she said.\u003c/p>\n",
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"\n\u003cp>“I still want him to be held accountable, but also in a way that’s safe for him and for everybody else,” she said.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Today, C is 13 and he loves to dance – everything from musical theater and jazz to hip hop.\u003c/p>\n",
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"innerHTML": "\n\u003cp>His mom described him as a helpful kid and good brother. He still struggles sometimes with his emotions or behavior, but she said he’s now able to accept the consequences, which no longer include paddling.\u003c/p>\n",
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"\n\u003cp>His mom described him as a helpful kid and good brother. He still struggles sometimes with his emotions or behavior, but she said he’s now able to accept the consequences, which no longer include paddling.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Davis recalled a recent incident that happened at school – instead of trying to hide it from her, as he might have done in the past, he told her right away.\u003c/p>\n",
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"\n\u003cp>Davis recalled a recent incident that happened at school – instead of trying to hide it from her, as he might have done in the past, he told her right away.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“I got home, he immediately told me, he immediately was very apologetic,” she said.\u003c/p>\n",
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"\n\u003cp>“I got home, he immediately told me, he immediately was very apologetic,” she said.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“Then he also told me, you know, ‘The assistant principal says I’m going to get a consequence.’ And I was like, ‘You know that’s a bummer, dude, but you know, you can’t do those behaviors.'”\u003c/p>\n",
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"\n\u003cp>“Then he also told me, you know, ‘The assistant principal says I’m going to get a consequence.’ And I was like, ‘You know that’s a bummer, dude, but you know, you can’t do those behaviors.'”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Despite occasional outbursts, Davis said she thinks C has learned to regulate his emotions better than he would have had she continued using corporal punishment.\u003c/p>\n",
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"\n\u003cp>Despite occasional outbursts, Davis said she thinks C has learned to regulate his emotions better than he would have had she continued using corporal punishment.\u003c/p>\n"
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"text": "What the data shows",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What the data shows\u003c/strong>\u003c/h2>\n",
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"innerHTML": "\n\u003cp>The best available data on corporal punishment in public schools comes from CRDC, and it dates to the 2021-’22 school year. CRDC traditionally publishes updated data about every two years, but the latest release, for the 2023-’24 school year, is \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\" rel=\"noreferrer noopener\">more than six months late\u003c/a>.\u003c/p>\n",
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"\n\u003cp>The best available data on corporal punishment in public schools comes from CRDC, and it dates to the 2021-’22 school year. CRDC traditionally publishes updated data about every two years, but the latest release, for the 2023-’24 school year, is \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\" rel=\"noreferrer noopener\">more than six months late\u003c/a>.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Even when new data is available, it’s limited, because not all school districts report incidents of corporal punishment to the federal government.\u003c/p>\n",
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"\n\u003cp>Even when new data is available, it’s limited, because not all school districts report incidents of corporal punishment to the federal government.\u003c/p>\n"
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"innerHTML": "\n\u003cp>The federal data that \u003cem>is\u003c/em> available shows more than just how often corporal punishment may be happening. It also gives a sense of which students may be more likely to experience it.\u003c/p>\n",
"innerContent": [
"\n\u003cp>The federal data that \u003cem>is\u003c/em> available shows more than just how often corporal punishment may be happening. It also gives a sense of which students may be more likely to experience it.\u003c/p>\n"
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"innerHTML": "\n\u003cp>For example, \u003ca href=\"https://www.ed.gov/media/document/corporal-punishment-part-4pdf-21386.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">an Education Department analysis of data from the 2017-’18 school year\u003c/a> shows boys were more likely than girls to receive corporal punishment. And compared to each group’s enrollment levels, white, Black and Native American or Alaska Native boys all experienced corporal punishment at disproportionately high rates, according to \u003ca href=\"https://www.ed.gov/media/document/crdc-discipline-school-climate-reportpdf-21409.pdf#:~:text=who%20received%20corporal%20punishment%20in%20public%20schools.,K%2D12%20student%20enrollment%2C%20but%2050%25%20of%20students.\" target=\"_blank\" rel=\"noreferrer noopener\">a federal analysis of data from the 2020-’21 school year\u003c/a>.\u003c/p>\n",
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"\n\u003cp>For example, \u003ca href=\"https://www.ed.gov/media/document/corporal-punishment-part-4pdf-21386.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">an Education Department analysis of data from the 2017-’18 school year\u003c/a> shows boys were more likely than girls to receive corporal punishment. And compared to each group’s enrollment levels, white, Black and Native American or Alaska Native boys all experienced corporal punishment at disproportionately high rates, according to \u003ca href=\"https://www.ed.gov/media/document/crdc-discipline-school-climate-reportpdf-21409.pdf#:~:text=who%20received%20corporal%20punishment%20in%20public%20schools.,K%2D12%20student%20enrollment%2C%20but%2050%25%20of%20students.\" target=\"_blank\" rel=\"noreferrer noopener\">a federal analysis of data from the 2020-’21 school year\u003c/a>.\u003c/p>\n"
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"innerHTML": "\n\u003cp>A \u003ca href=\"https://academic.oup.com/socpro/article-abstract/68/1/41/5628172?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noreferrer noopener\">2021 study\u003c/a> published in the journal \u003cem>Social Problems\u003c/em> used federal data to look at the relationship between a region’s history of lynchings and the present-day use of corporal punishment in public schools. In counties where more lynchings occurred, the researchers found a higher likelihood of students experiencing corporal punishment at school and “that lynching is particularly predictive of corporal punishment for black students.”\u003c/p>\n",
"innerContent": [
"\n\u003cp>A \u003ca href=\"https://academic.oup.com/socpro/article-abstract/68/1/41/5628172?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noreferrer noopener\">2021 study\u003c/a> published in the journal \u003cem>Social Problems\u003c/em> used federal data to look at the relationship between a region’s history of lynchings and the present-day use of corporal punishment in public schools. In counties where more lynchings occurred, the researchers found a higher likelihood of students experiencing corporal punishment at school and “that lynching is particularly predictive of corporal punishment for black students.”\u003c/p>\n"
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"blockName": "core/heading",
"attrs": {
"text": "The negative impacts of corporal punishment ",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>The negative impacts of corporal punishment \u003c/strong>\u003c/h2>\n",
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"\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>The negative impacts of corporal punishment \u003c/strong>\u003c/h2>\n"
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"innerHTML": "\n\u003cp>According to the \u003ca href=\"https://www.apa.org/about/policy/corporal-punishment\" target=\"_blank\" rel=\"noreferrer noopener\">American Psychological Association\u003c/a>, corporal punishment “may create in the child the impression that he or she is an ‘undesirable person’; and an impression that lowers self-esteem and may have chronic consequences.”\u003c/p>\n",
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"\n\u003cp>According to the \u003ca href=\"https://www.apa.org/about/policy/corporal-punishment\" target=\"_blank\" rel=\"noreferrer noopener\">American Psychological Association\u003c/a>, corporal punishment “may create in the child the impression that he or she is an ‘undesirable person’; and an impression that lowers self-esteem and may have chronic consequences.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Joan Durrant is a child developmental psychologist in Manitoba, Canada. She has spent her career researching corporal punishment, and she said it doesn’t work the way parents and educators often hope it will. “It really fuels dishonesty,” she said. “You learn how to lie. You learn to avoid punishment.”\u003c/p>\n",
"innerContent": [
"\n\u003cp>Joan Durrant is a child developmental psychologist in Manitoba, Canada. She has spent her career researching corporal punishment, and she said it doesn’t work the way parents and educators often hope it will. “It really fuels dishonesty,” she said. “You learn how to lie. You learn to avoid punishment.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>She said corporal punishment often teaches children that violence is an acceptable method of resolving conflict, and an overwhelming amount of research has found a connection between the practice and an increase in aggressive behavior.\u003c/p>\n",
"innerContent": [
"\n\u003cp>She said corporal punishment often teaches children that violence is an acceptable method of resolving conflict, and an overwhelming amount of research has found a connection between the practice and an increase in aggressive behavior.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“It’s providing a very powerful model by the people that they revere as knowing everything, that this is how you deal with your frustration,” Durrant said.\u003c/p>\n",
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"\n\u003cp>“It’s providing a very powerful model by the people that they revere as knowing everything, that this is how you deal with your frustration,” Durrant said.\u003c/p>\n"
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"innerHTML": "\n\u003cp>And while not all children who experience corporal punishment become more aggressive, Durrant emphasized that corporal punishment can erode relationships and lead to other chronic issues like anxiety, depression and addiction. Research also shows corporal punishment to \u003ca href=\"https://link.springer.com/article/10.1007/s10896-025-00864-7\" target=\"_blank\" rel=\"noreferrer noopener\">be a risk factor for intimate partner violence\u003c/a> later in life, both as a victim and as a perpetrator.\u003c/p>\n",
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"\n\u003cp>And while not all children who experience corporal punishment become more aggressive, Durrant emphasized that corporal punishment can erode relationships and lead to other chronic issues like anxiety, depression and addiction. Research also shows corporal punishment to \u003ca href=\"https://link.springer.com/article/10.1007/s10896-025-00864-7\" target=\"_blank\" rel=\"noreferrer noopener\">be a risk factor for intimate partner violence\u003c/a> later in life, both as a victim and as a perpetrator.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Durrant said the negative impacts of corporal punishment are clear and backed by hundreds of studies conducted since the mid-20th century. She said there are limited, peer-reviewed studies that challenge those broader findings, but she questions some of their methods.\u003c/p>\n",
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"\n\u003cp>Durrant said the negative impacts of corporal punishment are clear and backed by hundreds of studies conducted since the mid-20th century. She said there are limited, peer-reviewed studies that challenge those broader findings, but she questions some of their methods.\u003c/p>\n"
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"attrs": {
"text": "“You’re at a disadvantage” when a child knows they can’t be spanked",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>“You’re at a disadvantage” when a child knows they can’t be spanked\u003c/strong>\u003c/h2>\n",
"innerContent": [
"\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>“You’re at a disadvantage” when a child knows they can’t be spanked\u003c/strong>\u003c/h2>\n"
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"innerHTML": "\n\u003cp>Randy Randleman is a licensed psychologist who works with school children. Unlike many of his peers, he believes corporal punishment can be a helpful tool for schools. He’s based in Oklahoma, where school corporal punishment is legal.\u003c/p>\n",
"innerContent": [
"\n\u003cp>Randy Randleman is a licensed psychologist who works with school children. Unlike many of his peers, he believes corporal punishment can be a helpful tool for schools. He’s based in Oklahoma, where school corporal punishment is legal.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“I’ve worked in over 150 small schools in Oklahoma,” he said. “I go out here every day and I see there’s a small group of kids that, if they knew they would get a paddling – oh, [the misbehavior is] done. So why would you give that up?”\u003c/p>\n",
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"\n\u003cp>“I’ve worked in over 150 small schools in Oklahoma,” he said. “I go out here every day and I see there’s a small group of kids that, if they knew they would get a paddling – oh, [the misbehavior is] done. So why would you give that up?”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Randleman said he helps schools implement their disciplinary procedures. Sometimes, schools will call him in to conduct a psychological evaluation of a particular student and to help determine how to respond to that student’s misbehavior. Randleman previously served as an Oklahoma state representative. While in office, he said, he opposed proposals to ban corporal punishment for students with disabilities. A similar bill ultimately passed, but Randleman said he stands by his opposition.\u003c/p>\n",
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"\n\u003cp>Randleman said he helps schools implement their disciplinary procedures. Sometimes, schools will call him in to conduct a psychological evaluation of a particular student and to help determine how to respond to that student’s misbehavior. Randleman previously served as an Oklahoma state representative. While in office, he said, he opposed proposals to ban corporal punishment for students with disabilities. A similar bill ultimately passed, but Randleman said he stands by his opposition.\u003c/p>\n"
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"innerHTML": "\n\u003cp>With the exception of children with intellectual disabilities, he said, “you’re at a disadvantage” when a child knows they can’t be spanked. He points to children who are making conscious decisions to misbehave and who may also have diagnoses such as speech disorders. He said taking away corporal punishment could give such students license to act with impunity.\u003c/p>\n",
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"\n\u003cp>With the exception of children with intellectual disabilities, he said, “you’re at a disadvantage” when a child knows they can’t be spanked. He points to children who are making conscious decisions to misbehave and who may also have diagnoses such as speech disorders. He said taking away corporal punishment could give such students license to act with impunity.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Still, he said he considers corporal punishment a last resort: “I would never [recommend that a school] spank a child unless it was just behavioral.” Meaning, he said, a student is making a conscious choice to be defiant, something he determines in his student evaluations.\u003c/p>\n",
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"\n\u003cp>Still, he said he considers corporal punishment a last resort: “I would never [recommend that a school] spank a child unless it was just behavioral.” Meaning, he said, a student is making a conscious choice to be defiant, something he determines in his student evaluations.\u003c/p>\n"
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"innerHTML": "\n\u003cp>If corporal punishment doesn’t succeed in changing the student’s behavior, he said it’s probably time for a different approach. He said, as a child, he often got spanked – sometimes for behaviors that were out of his control, which he now attributes to his ADHD.\u003c/p>\n",
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"\n\u003cp>If corporal punishment doesn’t succeed in changing the student’s behavior, he said it’s probably time for a different approach. He said, as a child, he often got spanked – sometimes for behaviors that were out of his control, which he now attributes to his ADHD.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“And you could spank me a hundred times and it wouldn’t make me any [different].” What did help, he said, was taking away his basketball practices.\u003c/p>\n",
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"\n\u003cp>“And you could spank me a hundred times and it wouldn’t make me any [different].” What did help, he said, was taking away his basketball practices.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Randleman acknowledges that physical discipline can sometimes go too far. NPR asked him about a 2025 news report from ABC affiliate WTOK, which described a local incident in which a Mississippi school staffer \u003ca href=\"https://www.wtok.com/2025/03/06/heidelberg-mom-demanding-answers-school-leaders-after-sons-arm-broken-during-paddling/\" target=\"_blank\" rel=\"noreferrer noopener\">broke a student’s arm\u003c/a> during a paddling. In cases like that, Randleman said, “It should have been stopped before you even got to that level.”\u003c/p>\n",
"innerContent": [
"\n\u003cp>Randleman acknowledges that physical discipline can sometimes go too far. NPR asked him about a 2025 news report from ABC affiliate WTOK, which described a local incident in which a Mississippi school staffer \u003ca href=\"https://www.wtok.com/2025/03/06/heidelberg-mom-demanding-answers-school-leaders-after-sons-arm-broken-during-paddling/\" target=\"_blank\" rel=\"noreferrer noopener\">broke a student’s arm\u003c/a> during a paddling. In cases like that, Randleman said, “It should have been stopped before you even got to that level.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>But he said he still doesn’t think it should be legislated away. “I don’t want any consequences taken away from me,” he said.\u003c/p>\n",
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"\n\u003cp>But he said he still doesn’t think it should be legislated away. “I don’t want any consequences taken away from me,” he said.\u003c/p>\n"
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"attrs": {
"text": "What corporal punishment looks like in one district",
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"innerHTML": "\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What corporal punishment looks like in one district\u003c/strong>\u003c/h2>\n",
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"innerHTML": "\n\u003cp>Warner Public Schools, roughly 70 miles southeast of Tulsa, is among the highest achieving districts in Oklahoma. David Vinson is the superintendent, and he’s a proponent for allowing districts to make their own rules about corporal punishment.\u003c/p>\n",
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"\n\u003cp>Warner Public Schools, roughly 70 miles southeast of Tulsa, is among the highest achieving districts in Oklahoma. David Vinson is the superintendent, and he’s a proponent for allowing districts to make their own rules about corporal punishment.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“I’ve been here for 14 years,” Vinson said. “We’ve allowed corporal punishment that whole time.”\u003c/p>\n",
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"\n\u003cp>“I’ve been here for 14 years,” Vinson said. “We’ve allowed corporal punishment that whole time.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>His district is in a small, rural community and serves about 860 students, most of them from low-income households. He said many of his students are Native American.\u003c/p>\n",
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"\n\u003cp>His district is in a small, rural community and serves about 860 students, most of them from low-income households. He said many of his students are Native American.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Vinson said he isn’t advocating for other schools to use corporal punishment. But he doesn’t want the option taken away for his district, even though he said it’s rarely used. The threat of a paddling alone is often enough to curb unwanted behavior, he said, and corporal punishment allows students to stay in the classroom for infractions that would have otherwise resulted in suspension.\u003c/p>\n",
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"\n\u003cp>Vinson said he isn’t advocating for other schools to use corporal punishment. But he doesn’t want the option taken away for his district, even though he said it’s rarely used. The threat of a paddling alone is often enough to curb unwanted behavior, he said, and corporal punishment allows students to stay in the classroom for infractions that would have otherwise resulted in suspension.\u003c/p>\n"
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"innerHTML": "\n\u003cp>“The fact that we can paddle, I think, is a great deterrent to a lot of kids,” he explained.\u003c/p>\n",
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"\n\u003cp>“The fact that we can paddle, I think, is a great deterrent to a lot of kids,” he explained.\u003c/p>\n"
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"innerHTML": "\n\u003cp>In the last eight years, Warner High School Principal, Brian Hummingbird, who is Cherokee, said he’s only paddled two students – both at a parent’s request. (Hummingbird recently accepted a new job as superintendent of a nearby district.) Warner’s middle school principal, Jeramy Branchcomb, said he has never spanked a student, but “If I did it every time a parent asks me to do it, I’d be doing it every week.”\u003c/p>\n",
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"\n\u003cp>In the last eight years, Warner High School Principal, Brian Hummingbird, who is Cherokee, said he’s only paddled two students – both at a parent’s request. (Hummingbird recently accepted a new job as superintendent of a nearby district.) Warner’s middle school principal, Jeramy Branchcomb, said he has never spanked a student, but “If I did it every time a parent asks me to do it, I’d be doing it every week.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Vinson said corporal punishment is primarily used at the elementary school level, usually with pre-K and kindergarten students.\u003c/p>\n",
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"\n\u003cp>Vinson said corporal punishment is primarily used at the elementary school level, usually with pre-K and kindergarten students.\u003c/p>\n"
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"innerHTML": "\n\u003cp>The elementary school principal, Alan Gordon, said students know about his paddles – one named Peace and one named Harmony.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“The shop teacher made my paddles for me,” said Gordon, who is Cherokee. “He made me two identical paddles and all my kids, they know, ‘Oh, we don’t want to see Peace and Harmony.'”\u003c/p>\n",
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"\n\u003cp>“The shop teacher made my paddles for me,” said Gordon, who is Cherokee. “He made me two identical paddles and all my kids, they know, ‘Oh, we don’t want to see Peace and Harmony.'”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Gordon said a student only receives a paddling after they have been sent to his office multiple times and have served lunch detention for the same infraction. Parents must authorize the use of corporal punishment by signing a form at the beginning of the school year, and Gordon also calls parents before he paddles a student – even, he said, when parents have previously told him to “just swat them. You don’t even have to call.”\u003c/p>\n",
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"\n\u003cp>Gordon said a student only receives a paddling after they have been sent to his office multiple times and have served lunch detention for the same infraction. Parents must authorize the use of corporal punishment by signing a form at the beginning of the school year, and Gordon also calls parents before he paddles a student – even, he said, when parents have previously told him to “just swat them. You don’t even have to call.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>Once that call is done, Gordon said, “I sit right here before I even spank them and we have a conversation about what they did and why we’re here and what we’re doing.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>When it’s time for the paddling, he said, he tells the student to focus on a poster above his desk that reads, “Excellence is not an act, but a habit.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>“I think people need to understand this: We are not over here advocating for you to beat your child. That is not what that is,” Gordon said. “I think that the responsible use of discipline can change kids’ lives.”\u003c/p>\n",
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"\n\u003cp>“I think people need to understand this: We are not over here advocating for you to beat your child. That is not what that is,” Gordon said. “I think that the responsible use of discipline can change kids’ lives.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cem>Edited by: \u003c/em>\u003ca href=\"https://www.npr.org/people/348780034/nicole-cohen\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Nicole Cohen\u003c/em>\u003c/a>\u003cbr>\u003cem>Audio story produced by: \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-90680/kadin-mills\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Kadin Mills\u003c/em>\u003c/a>\u003cem> and \u003c/em>\u003ca href=\"https://www.npr.org/people/348774853/lauren-migaki\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Lauren Migaki\u003c/em>\u003c/a>\u003cbr>\u003cem>Research by: \u003c/em>\u003ca href=\"https://www.npr.org/people/1104778094/will-chase\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Will Chase\u003c/em>\u003c/a>\u003cbr>\u003cem>Visual design and development by: \u003c/em>\u003ca href=\"https://www.npr.org/people/348775569/la-johnson\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>LA Johnson\u003c/em>\u003c/a>\u003c/p>\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>One day, about eight years ago, when Tessa Davis’ son was in kindergarten, she got a call from his school outside Little Rock, Ark. She said the school told her he had grabbed a girl’s jacket in the cafeteria and twisted it – they thought he was trying to choke her.\u003c/p>\n\n\n\n\u003cp>Given his past misbehavior, Davis said, the school gave her two options: He could either be suspended for three days or a school administrator could paddle him. NPR is only identifying her son by his first initial, C, because this story details his behavioral struggles and how he’s been disciplined in school.\u003c/p>\n\n\n\n\u003cp>Davis said she couldn’t afford to miss three days of work to stay home with C.\u003c/p>\n\n\n\n\u003cp>“I was kind of at, just like my breaking point,” Davis recalled. “I told my husband that he could decide what we would do. And he was like, ‘Well, I was paddled, so give him the paddling.’ So that’s what we chose. And I just remember feeling like instant regret.”\u003c/p>\n\n\n\n\u003cp>After the paddling, she said C was scared to go back to school.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“I just think he always struggled going to school then after that, for sure,” his mom said. “I mean he struggled before, but afterwards I felt like, especially in that building, he was always more tense, more aware and afraid. … One time he told me that he didn’t want to go to school there anymore because he was afraid that he was gonna get hurt.”\u003c/p>\n\n\n\n\u003cp>The American Academy of Child and Adolescent Psychiatry defines corporal punishment as “anything done to cause pain or discomfort” in response to a child’s behavior. In schools, that often means a paddling.\u003c/p>\n\n\n\n\u003cp>There is broad consensus among psychologists that corporal punishment can be harmful to children, but the U.S. has no federal laws banning it in public schools. Instead, it’s up to states and local districts to decide if it can be used, and many states and local districts still require parents to consent.\u003c/p>\n\n\n\n\u003cp>And while corporal punishment is much less common today than in the past – when it was used for everyday discipline as well as to \u003ca href=\"https://www.npr.org/2017/10/20/558739863/the-day-a-texas-school-held-a-funeral-for-the-spanish-language\" target=\"_blank\">punish students for speaking languages other than English\u003c/a> and, in federal Indian boarding schools, to \u003ca href=\"https://www.edweek.org/leadership/native-american-children-endured-brutal-treatment-in-u-s-boarding-schools-federal-report-shows/2022/05\" target=\"_blank\">force Native children to assimilate\u003c/a> – it still happens.\u003c/p>\n\n\n\n\u003cp>The most recent data from the U.S. Department of Education’s Civil Rights Data Collection, or CRDC, shows almost 32,000 reported instances of corporal punishment being used on K-12 students in the 2021-’22 school year. That’s about 1 reported incident per 2,000 students.\u003c/p>\n\n\n\n\u003cfigure class=\"wp-block-image size-full\">\u003ca href=\"https://www.npr.org/2026/08/19/nx-s1-5803505/school-corporal-punishment-policy-tracker\">\u003cimg loading=\"lazy\" decoding=\"async\" width=\"2080\" height=\"1442\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment.png\" alt=\"\" class=\"wp-image-66559\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment.png 2080w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-2000x1387.png 2000w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-160x111.png 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-768x532.png 768w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-1536x1065.png 1536w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/Corporal-Punishment-2048x1420.png 2048w\" sizes=\"auto, (max-width: 2080px) 100vw, 2080px\">\u003c/a>\u003c/figure>\n\n\n\n\u003cp>\u003cbr>\u003cbr>The public schools in C’s home state, Arkansas, have some of the highest rates of corporal punishment in the country, second only to Mississippi.\u003c/p>\n\n\n\n\u003cp>An NPR analysis found that 15 states allow schools to employ corporal punishment, though the practice may be banned at the local level. Thirty states plus Washington, D.C., have passed laws that explicitly ban corporal punishment in all public schools. And the remaining states don’t explicitly ban the practice – some have other laws that have been interpreted as bans, and others have no laws at all.\u003c/p>\n\n\n\n\u003cp>Almost all of the country’s reported instances of public school corporal punishment happened in eight states – primarily in the South – according to federal data.\u003c/p>\n\n\n\n\u003cp>Morgan Craven advocates for ending corporal punishment nationally in public schools. She is a policy expert with the Intercultural Development Research Association (IDRA), a group that promotes equal educational opportunities, primarily in the South.\u003c/p>\n\n\n\n\u003cp>She said that in some communities in the South, spanking or other types of corporal punishment can be rooted in faith-based beliefs or other types of community norms.\u003c/p>\n\n\n\n\u003cp>“There is this belief that corporal punishment … is not harmful at all, but is actually part of the expectation that some communities have for raising children,” Craven said.\u003c/p>\n\n\n\n\u003cp>Because of the cultural connections in these areas, she said, “talking about ending corporal punishment in schools feels like some indictment of the way that they were raised or what was passed down in their own families.”\u003c/p>\n\n\n\n\u003cp>But not everyone accepts those norms. “There are also many communities in the South,” she said, “who are pushing back against physical violence as a way to discipline children and really want to challenge those understandings.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>“The spankings never made the behavior stop”\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Tessa Davis said she and her husband both grew up in households that used corporal punishment, so choosing it for their own family felt natural.\u003c/p>\n\n\n\n\u003cp>“That’s how I was raised, so that’s what I was trying and it definitely was not working. … The spankings never made the behavior stop, ever,” she said. “In fact, it made it worse.”\u003c/p>\n\n\n\n\u003cp>Davis and her husband adopted C when he was a toddler, and she said he always had a lot of trouble separating from her.\u003c/p>\n\n\n\n\u003cp>“Crying, screaming, yelling, melting down, following me out the door, running out the doors, those kinds of things,” she explained. “That was like a daily occurrence for him.”\u003c/p>\n\n\n\n\u003cp>Which meant he often started the school day in a heightened state. “Always in fight or flight, for sure,” his mom said.\u003c/p>\n\n\n\n\u003cp>After the paddling, Davis and her husband changed their approach to discipline. She said they no longer use corporal punishment at home, or allow it at school, and she started publicly advocating against it being used in schools.\u003c/p>\n\n\n\n\u003cp>“I still want him to be held accountable, but also in a way that’s safe for him and for everybody else,” she said.\u003c/p>\n\n\n\n\u003cp>Today, C is 13 and he loves to dance – everything from musical theater and jazz to hip hop.\u003c/p>\n\n\n\n\u003cp>His mom described him as a helpful kid and good brother. He still struggles sometimes with his emotions or behavior, but she said he’s now able to accept the consequences, which no longer include paddling.\u003c/p>\n\n\n\n\u003cp>Davis recalled a recent incident that happened at school – instead of trying to hide it from her, as he might have done in the past, he told her right away.\u003c/p>\n\n\n\n\u003cp>“I got home, he immediately told me, he immediately was very apologetic,” she said.\u003c/p>\n\n\n\n\u003cp>“Then he also told me, you know, ‘The assistant principal says I’m going to get a consequence.’ And I was like, ‘You know that’s a bummer, dude, but you know, you can’t do those behaviors.'”\u003c/p>\n\n\n\n\u003cp>Despite occasional outbursts, Davis said she thinks C has learned to regulate his emotions better than he would have had she continued using corporal punishment.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What the data shows\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The best available data on corporal punishment in public schools comes from CRDC, and it dates to the 2021-’22 school year. CRDC traditionally publishes updated data about every two years, but the latest release, for the 2023-’24 school year, is \u003ca href=\"https://www.npr.org/2026/07/02/nx-s1-5859422/civil-rights-data-students-education\" target=\"_blank\" rel=\"noreferrer noopener\">more than six months late\u003c/a>.\u003c/p>\n\n\n\n\u003cp>Even when new data is available, it’s limited, because not all school districts report incidents of corporal punishment to the federal government.\u003c/p>\n\n\n\n\u003cp>The federal data that \u003cem>is\u003c/em> available shows more than just how often corporal punishment may be happening. It also gives a sense of which students may be more likely to experience it.\u003c/p>\n\n\n\n\u003cp>For example, \u003ca href=\"https://www.ed.gov/media/document/corporal-punishment-part-4pdf-21386.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">an Education Department analysis of data from the 2017-’18 school year\u003c/a> shows boys were more likely than girls to receive corporal punishment. And compared to each group’s enrollment levels, white, Black and Native American or Alaska Native boys all experienced corporal punishment at disproportionately high rates, according to \u003ca href=\"https://www.ed.gov/media/document/crdc-discipline-school-climate-reportpdf-21409.pdf#:~:text=who%20received%20corporal%20punishment%20in%20public%20schools.,K%2D12%20student%20enrollment%2C%20but%2050%25%20of%20students.\" target=\"_blank\" rel=\"noreferrer noopener\">a federal analysis of data from the 2020-’21 school year\u003c/a>.\u003c/p>\n\n\n\n\u003cp>A \u003ca href=\"https://academic.oup.com/socpro/article-abstract/68/1/41/5628172?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noreferrer noopener\">2021 study\u003c/a> published in the journal \u003cem>Social Problems\u003c/em> used federal data to look at the relationship between a region’s history of lynchings and the present-day use of corporal punishment in public schools. In counties where more lynchings occurred, the researchers found a higher likelihood of students experiencing corporal punishment at school and “that lynching is particularly predictive of corporal punishment for black students.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>The negative impacts of corporal punishment \u003c/strong>\u003c/h2>\n\n\n\n\u003cp>According to the \u003ca href=\"https://www.apa.org/about/policy/corporal-punishment\" target=\"_blank\" rel=\"noreferrer noopener\">American Psychological Association\u003c/a>, corporal punishment “may create in the child the impression that he or she is an ‘undesirable person’; and an impression that lowers self-esteem and may have chronic consequences.”\u003c/p>\n\n\n\n\u003cp>Joan Durrant is a child developmental psychologist in Manitoba, Canada. She has spent her career researching corporal punishment, and she said it doesn’t work the way parents and educators often hope it will. “It really fuels dishonesty,” she said. “You learn how to lie. You learn to avoid punishment.”\u003c/p>\n\n\n\n\u003cp>She said corporal punishment often teaches children that violence is an acceptable method of resolving conflict, and an overwhelming amount of research has found a connection between the practice and an increase in aggressive behavior.\u003c/p>\n\n\n\n\u003cp>“It’s providing a very powerful model by the people that they revere as knowing everything, that this is how you deal with your frustration,” Durrant said.\u003c/p>\n\n\n\n\u003cp>And while not all children who experience corporal punishment become more aggressive, Durrant emphasized that corporal punishment can erode relationships and lead to other chronic issues like anxiety, depression and addiction. Research also shows corporal punishment to \u003ca href=\"https://link.springer.com/article/10.1007/s10896-025-00864-7\" target=\"_blank\" rel=\"noreferrer noopener\">be a risk factor for intimate partner violence\u003c/a> later in life, both as a victim and as a perpetrator.\u003c/p>\n\n\n\n\u003cp>Durrant said the negative impacts of corporal punishment are clear and backed by hundreds of studies conducted since the mid-20th century. She said there are limited, peer-reviewed studies that challenge those broader findings, but she questions some of their methods.\u003c/p>\n\n\n\n\u003ch3 class=\"wp-block-heading\">\u003c/h3>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>“You’re at a disadvantage” when a child knows they can’t be spanked\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Randy Randleman is a licensed psychologist who works with school children. Unlike many of his peers, he believes corporal punishment can be a helpful tool for schools. He’s based in Oklahoma, where school corporal punishment is legal.\u003c/p>\n\n\n\n\u003cp>“I’ve worked in over 150 small schools in Oklahoma,” he said. “I go out here every day and I see there’s a small group of kids that, if they knew they would get a paddling – oh, [the misbehavior is] done. So why would you give that up?”\u003c/p>\n\n\n\n\u003cp>Randleman said he helps schools implement their disciplinary procedures. Sometimes, schools will call him in to conduct a psychological evaluation of a particular student and to help determine how to respond to that student’s misbehavior. Randleman previously served as an Oklahoma state representative. While in office, he said, he opposed proposals to ban corporal punishment for students with disabilities. A similar bill ultimately passed, but Randleman said he stands by his opposition.\u003c/p>\n\n\n\n\u003cp>With the exception of children with intellectual disabilities, he said, “you’re at a disadvantage” when a child knows they can’t be spanked. He points to children who are making conscious decisions to misbehave and who may also have diagnoses such as speech disorders. He said taking away corporal punishment could give such students license to act with impunity.\u003c/p>\n\n\n\n\u003cp>Still, he said he considers corporal punishment a last resort: “I would never [recommend that a school] spank a child unless it was just behavioral.” Meaning, he said, a student is making a conscious choice to be defiant, something he determines in his student evaluations.\u003c/p>\n\n\n\n\u003cp>If corporal punishment doesn’t succeed in changing the student’s behavior, he said it’s probably time for a different approach. He said, as a child, he often got spanked – sometimes for behaviors that were out of his control, which he now attributes to his ADHD.\u003c/p>\n\n\n\n\u003cp>“And you could spank me a hundred times and it wouldn’t make me any [different].” What did help, he said, was taking away his basketball practices.\u003c/p>\n\n\n\n\u003cp>Randleman acknowledges that physical discipline can sometimes go too far. NPR asked him about a 2025 news report from ABC affiliate WTOK, which described a local incident in which a Mississippi school staffer \u003ca href=\"https://www.wtok.com/2025/03/06/heidelberg-mom-demanding-answers-school-leaders-after-sons-arm-broken-during-paddling/\" target=\"_blank\" rel=\"noreferrer noopener\">broke a student’s arm\u003c/a> during a paddling. In cases like that, Randleman said, “It should have been stopped before you even got to that level.”\u003c/p>\n\n\n\n\u003cp>But he said he still doesn’t think it should be legislated away. “I don’t want any consequences taken away from me,” he said.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What corporal punishment looks like in one district\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Warner Public Schools, roughly 70 miles southeast of Tulsa, is among the highest achieving districts in Oklahoma. David Vinson is the superintendent, and he’s a proponent for allowing districts to make their own rules about corporal punishment.\u003c/p>\n\n\n\n\u003cp>“I’ve been here for 14 years,” Vinson said. “We’ve allowed corporal punishment that whole time.”\u003c/p>\n\n\n\n\u003cp>His district is in a small, rural community and serves about 860 students, most of them from low-income households. He said many of his students are Native American.\u003c/p>\n\n\n\n\u003cp>Vinson said he isn’t advocating for other schools to use corporal punishment. But he doesn’t want the option taken away for his district, even though he said it’s rarely used. The threat of a paddling alone is often enough to curb unwanted behavior, he said, and corporal punishment allows students to stay in the classroom for infractions that would have otherwise resulted in suspension.\u003c/p>\n\n\n\n\u003cp>“The fact that we can paddle, I think, is a great deterrent to a lot of kids,” he explained.\u003c/p>\n\n\n\n\u003cp>In the last eight years, Warner High School Principal, Brian Hummingbird, who is Cherokee, said he’s only paddled two students – both at a parent’s request. (Hummingbird recently accepted a new job as superintendent of a nearby district.) Warner’s middle school principal, Jeramy Branchcomb, said he has never spanked a student, but “If I did it every time a parent asks me to do it, I’d be doing it every week.”\u003c/p>\n\n\n\n\u003cp>Vinson said corporal punishment is primarily used at the elementary school level, usually with pre-K and kindergarten students.\u003c/p>\n\n\n\n\u003cp>The elementary school principal, Alan Gordon, said students know about his paddles – one named Peace and one named Harmony.\u003c/p>\n\n\n\n\u003cp>“The shop teacher made my paddles for me,” said Gordon, who is Cherokee. “He made me two identical paddles and all my kids, they know, ‘Oh, we don’t want to see Peace and Harmony.'”\u003c/p>\n\n\n\n\u003cp>Gordon said a student only receives a paddling after they have been sent to his office multiple times and have served lunch detention for the same infraction. Parents must authorize the use of corporal punishment by signing a form at the beginning of the school year, and Gordon also calls parents before he paddles a student – even, he said, when parents have previously told him to “just swat them. You don’t even have to call.”\u003c/p>\n\n\n\n\u003cp>Once that call is done, Gordon said, “I sit right here before I even spank them and we have a conversation about what they did and why we’re here and what we’re doing.”\u003c/p>\n\n\n\n\u003cp>When it’s time for the paddling, he said, he tells the student to focus on a poster above his desk that reads, “Excellence is not an act, but a habit.”\u003c/p>\n\n\n\n\u003cp>Then, he said, “They place their hands flat on the desk, they look at the picture and they spread their legs apart.”\u003c/p>\n\n\n\n\u003cp>And Gordon “swats” them, usually twice.\u003c/p>\n\n\n\n\u003cp>Afterward, he said he often gives the student a hug and tells them they’re loved. Occasionally a student gets a nap time. Others get sent right back to class.\u003c/p>\n\n\n\n\u003cp>“I think people need to understand this: We are not over here advocating for you to beat your child. That is not what that is,” Gordon said. “I think that the responsible use of discipline can change kids’ lives.”\u003c/p>\n\n\n\n\u003cp>Ultimately, he supports the rights of parents and schools to allow corporal punishment — even if many people, and the research, disagree.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>\u003cem>Edited by: \u003c/em>\u003ca href=\"https://www.npr.org/people/348780034/nicole-cohen\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Nicole Cohen\u003c/em>\u003c/a>\u003cbr>\u003cem>Audio story produced by: \u003c/em>\u003ca href=\"https://www.npr.org/people/g-s1-90680/kadin-mills\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Kadin Mills\u003c/em>\u003c/a>\u003cem> and \u003c/em>\u003ca href=\"https://www.npr.org/people/348774853/lauren-migaki\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Lauren Migaki\u003c/em>\u003c/a>\u003cbr>\u003cem>Research by: \u003c/em>\u003ca href=\"https://www.npr.org/people/1104778094/will-chase\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>Will Chase\u003c/em>\u003c/a>\u003cbr>\u003cem>Visual design and development by: \u003c/em>\u003ca href=\"https://www.npr.org/people/348775569/la-johnson\" target=\"_blank\" rel=\"noreferrer noopener\">\u003cem>LA Johnson\u003c/em>\u003c/a>\u003c/p>\n\n\u003c/div>\u003c/p>",
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"slug": "slow-math-kids-may-learn-more-when-ai-makes-them-review-mistakes",
"title": "Slow Math: Kids May Learn More When AI Makes Them Review Mistakes",
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"headTitle": "Slow Math: Kids May Learn More When AI Makes Them Review Mistakes | KQED",
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"content": "\u003cp>Artificial intelligence makes many tasks faster and easier. But a new study suggests that students may learn more when AI makes them slow down.\u003c/p>\n\n\n\n\u003cp>In an experiment involving more than 6,000 middle schoolers in Tennessee, students learned slightly more math when an AI tutor walked them through their mistakes and then required them to demonstrate the same skill correctly three times in a row before moving on.\u003c/p>\n\n\n\n\u003cp>Academic researchers tested four approaches to practicing fractions. Students were randomly assigned to receive either conventional computer-based instruction or the same software with an AI tutor. Within each of those groups, half the students had to correctly answer practice questions covering the same skill three times in a row if they made a mistake.\u003c/p>\n\n\n\n\u003cp>Students used \u003ca href=\"https://www.povertyactionlab.org/initiative-project/numi-ai-tutor-learning-how-best-deliver-transformative-personalized-education\">software built by researchers\u003c/a>, which was similar to Khan Academy’s videos and exercises, once for 50 minutes during math class. A week later, they took a 15-minute test to measure how much they retained.\u003c/p>\n\n\n\n\u003cp>The winning combination wasn’t the addition of AI tutoring alone, but AI tutoring plus repetition, with the idea that students needed to stick with the skill to demonstrate some level of mastery. The students who practiced math with this AI-enhanced “mastery learning” approach scored about 3 percentage points higher than students receiving conventional computerized instruction. The advantage was small. \u003c/p>\n\n\n\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>“I don’t want to jump out and say we’ve demonstrated that AI is going to be the game changer that we hope it is,” said Philip Oreopoulos, lead author of the study and an economist at the University of Toronto. “But it might be the first kind of evidence that shows there’s at least some hints that it has some positive value against no AI at all.”\u003c/p>\n\n\n\n\u003cp>That’s significant because there’s mounting evidence that \u003ca href=\"https://hechingerreport.org/proof-points-ai-eroding-math-skills/\">AI is often harming learning\u003c/a>, spitting out answers for students and short-circuiting the learning process. \u003c/p>\n\n\n\n\u003cp>The study, “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment,” was conducted by researchers from the University of Toronto and the University of Pennsylvania’s Wharton School. A working paper is scheduled to be circulated by the National Bureau of Economic Research on Aug. 17 and has not yet been published in a peer-reviewed journal. The authors provided The Hechinger Report with a draft.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Making students slow down\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The researchers think AI helped because it walked students through their mistakes instead of simply showing them a solution.\u003c/p>\n\n\n\n\u003cp>Without AI, students could see a step-by-step example after getting a problem wrong. But a student can easily skim through the steps to a solution and move on, without figuring out what went wrong.\u003c/p>\n\n\n\n\u003ch4 class=\"wp-block-heading\">\u003cstrong>Numi, an AI tutor, guides students step by step\u003c/strong>\u003c/h4>\n\n\n\n\u003cfigure class=\"wp-block-image size-full\">\u003cimg loading=\"lazy\" decoding=\"async\" width=\"346\" height=\"810\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/image.png\" alt=\"\" class=\"wp-image-66544\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/image.png 346w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/image-160x375.png 160w\" sizes=\"auto, (max-width: 346px) 100vw, 346px\">\u003c/figure>\n\n\n\n\u003cp>Right after a mistake, an AI tutor called “Numi” walks a student through a solution step-by-step for dividing two numbers: 3 \u003csup>6\u003c/sup>/\u003csub>7\u003c/sub> ÷ 4 \u003csup>5\u003c/sup>/\u003csub>2\u003c/sub>.\u003c/p>\n\n\n\n\u003cp 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Numi, the AI tutor, encourages a student to pick a step to review in more detail. The original problem was 8 \u003csup>1\u003c/sup>/\u003csub>4\u003c/sub> ÷ 3 \u003csup>3\u003c/sup>/\u003csub>4\u003c/sub>.\u003cbr>\u003cem>Source: Appendix of Oreopoulos et al., “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment.”\u003c/em>\u003c/p>\n\n\n\n\u003cp>The AI tutor, by contrast, could respond directly to a student’s work and guide the student through the mistake.\u003c/p>\n\n\n\n\u003cp>The students who used AI combined with mastery learning spent more time per question than students in any of the other groups — a sign that they were engaging more with the material. These students were also more likely to get the next question right after making a mistake. \u003c/p>\n\n\n\n\u003cp>That’s important because requiring students to answer three questions correctly in a row is common in educational software. But hitting a short mastery threshold doesn’t necessarily mean a student has developed a deep understanding. Students can guess their way to three correct answers or succeed from repeated exposure without really learning the skill.\u003c/p>\n\n\n\n\u003cp>There was a limit to the benefits for students in this study. Students in the AI-plus-mastery group performed better primarily on the easiest fraction questions — the ones most similar to what they had practiced. The advantage did not extend to more challenging problems.\u003c/p>\n\n\n\n\u003cp>In this study, AI didn’t produce a deeper or more transferable understanding of fractions. Then again, it was only a 50-minute intervention and it’s unknown how this combination of AI plus mastery learning might improve student learning over the course of many months. \u003c/p>\n\n\n\n\u003cp>Oreopoulos cautions against concluding that mastery learning is the best way to use AI in learning math. The researchers tested only the four combinations in their study; there could be better ways to enhance computer-assisted learning and make practice work more effective. His larger ambition is to keep testing different features against one another, continually improving the software.\u003c/p>\n\n\n\n\u003cp>For now, he said, the goal was more modest: to show that AI “has a little bit of benefit, and talk about its potential.”\u003c/p>\n\n\n\n\u003cp>Part of that potential may lie not in helping kids learn math faster, but in helping them slow down.\u003c/p>\n\n\n\n\u003cp>\u003cem>Kristin Fasiang is a graduate student in computer science and learning sciences at Northwestern University. Fasiang reported and wrote this story with The Hechinger Report’s Jill Barshay.\u003c/em>\u003c/p>\n\n\n\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This story about AI and \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-ai-mastery-learning/\">\u003cem>mastery learning\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n",
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"innerHTML": "\n\u003cp>Artificial intelligence makes many tasks faster and easier. But a new study suggests that students may learn more when AI makes them slow down.\u003c/p>\n",
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"innerHTML": "\n\u003cp>In an experiment involving more than 6,000 middle schoolers in Tennessee, students learned slightly more math when an AI tutor walked them through their mistakes and then required them to demonstrate the same skill correctly three times in a row before moving on.\u003c/p>\n",
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"\n\u003cp>In an experiment involving more than 6,000 middle schoolers in Tennessee, students learned slightly more math when an AI tutor walked them through their mistakes and then required them to demonstrate the same skill correctly three times in a row before moving on.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Academic researchers tested four approaches to practicing fractions. Students were randomly assigned to receive either conventional computer-based instruction or the same software with an AI tutor. Within each of those groups, half the students had to correctly answer practice questions covering the same skill three times in a row if they made a mistake.\u003c/p>\n",
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"\n\u003cp>Academic researchers tested four approaches to practicing fractions. Students were randomly assigned to receive either conventional computer-based instruction or the same software with an AI tutor. Within each of those groups, half the students had to correctly answer practice questions covering the same skill three times in a row if they made a mistake.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Students used \u003ca href=\"https://www.povertyactionlab.org/initiative-project/numi-ai-tutor-learning-how-best-deliver-transformative-personalized-education\">software built by researchers\u003c/a>, which was similar to Khan Academy’s videos and exercises, once for 50 minutes during math class. A week later, they took a 15-minute test to measure how much they retained.\u003c/p>\n",
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"\n\u003cp>Students used \u003ca href=\"https://www.povertyactionlab.org/initiative-project/numi-ai-tutor-learning-how-best-deliver-transformative-personalized-education\">software built by researchers\u003c/a>, which was similar to Khan Academy’s videos and exercises, once for 50 minutes during math class. A week later, they took a 15-minute test to measure how much they retained.\u003c/p>\n"
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"innerHTML": "\n\u003cp>The winning combination wasn’t the addition of AI tutoring alone, but AI tutoring plus repetition, with the idea that students needed to stick with the skill to demonstrate some level of mastery. The students who practiced math with this AI-enhanced “mastery learning” approach scored about 3 percentage points higher than students receiving conventional computerized instruction. The advantage was small. \u003c/p>\n",
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"\n\u003cp>The winning combination wasn’t the addition of AI tutoring alone, but AI tutoring plus repetition, with the idea that students needed to stick with the skill to demonstrate some level of mastery. The students who practiced math with this AI-enhanced “mastery learning” approach scored about 3 percentage points higher than students receiving conventional computerized instruction. The advantage was small. \u003c/p>\n"
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"innerHTML": "\n\u003cp>“I don’t want to jump out and say we’ve demonstrated that AI is going to be the game changer that we hope it is,” said Philip Oreopoulos, lead author of the study and an economist at the University of Toronto. “But it might be the first kind of evidence that shows there’s at least some hints that it has some positive value against no AI at all.”\u003c/p>\n",
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"\n\u003cp>“I don’t want to jump out and say we’ve demonstrated that AI is going to be the game changer that we hope it is,” said Philip Oreopoulos, lead author of the study and an economist at the University of Toronto. “But it might be the first kind of evidence that shows there’s at least some hints that it has some positive value against no AI at all.”\u003c/p>\n"
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"innerHTML": "\n\u003cp>That’s significant because there’s mounting evidence that \u003ca href=\"https://hechingerreport.org/proof-points-ai-eroding-math-skills/\">AI is often harming learning\u003c/a>, spitting out answers for students and short-circuiting the learning process. \u003c/p>\n",
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"\n\u003cp>That’s significant because there’s mounting evidence that \u003ca href=\"https://hechingerreport.org/proof-points-ai-eroding-math-skills/\">AI is often harming learning\u003c/a>, spitting out answers for students and short-circuiting the learning process. \u003c/p>\n"
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"innerHTML": "\n\u003cp>The study, “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment,” was conducted by researchers from the University of Toronto and the University of Pennsylvania’s Wharton School. A working paper is scheduled to be circulated by the National Bureau of Economic Research on Aug. 17 and has not yet been published in a peer-reviewed journal. The authors provided The Hechinger Report with a draft.\u003c/p>\n",
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"\n\u003cp>The study, “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment,” was conducted by researchers from the University of Toronto and the University of Pennsylvania’s Wharton School. A working paper is scheduled to be circulated by the National Bureau of Economic Research on Aug. 17 and has not yet been published in a peer-reviewed journal. The authors provided The Hechinger Report with a draft.\u003c/p>\n"
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\">Here Numi, the AI tutor, encourages a student to pick a step to review in more detail. The original problem was 8 \u003csup>1\u003c/sup>/\u003csub>4\u003c/sub> ÷ 3 \u003csup>3\u003c/sup>/\u003csub>4\u003c/sub>.\u003cbr>\u003cem>Source: Appendix of Oreopoulos et al., “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment.”\u003c/em>\u003c/p>\n",
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Numi, the AI tutor, encourages a student to pick a step to review in more detail. The original problem was 8 \u003csup>1\u003c/sup>/\u003csub>4\u003c/sub> ÷ 3 \u003csup>3\u003c/sup>/\u003csub>4\u003c/sub>.\u003cbr>\u003cem>Source: Appendix of Oreopoulos et al., “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment.”\u003c/em>\u003c/p>\n"
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"innerHTML": "\n\u003cp>The students who used AI combined with mastery learning spent more time per question than students in any of the other groups — a sign that they were engaging more with the material. These students were also more likely to get the next question right after making a mistake. \u003c/p>\n",
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"\n\u003cp>The students who used AI combined with mastery learning spent more time per question than students in any of the other groups — a sign that they were engaging more with the material. These students were also more likely to get the next question right after making a mistake. \u003c/p>\n"
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"innerHTML": "\n\u003cp>That’s important because requiring students to answer three questions correctly in a row is common in educational software. But hitting a short mastery threshold doesn’t necessarily mean a student has developed a deep understanding. Students can guess their way to three correct answers or succeed from repeated exposure without really learning the skill.\u003c/p>\n",
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"\n\u003cp>That’s important because requiring students to answer three questions correctly in a row is common in educational software. But hitting a short mastery threshold doesn’t necessarily mean a student has developed a deep understanding. Students can guess their way to three correct answers or succeed from repeated exposure without really learning the skill.\u003c/p>\n"
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"innerHTML": "\n\u003cp>There was a limit to the benefits for students in this study. Students in the AI-plus-mastery group performed better primarily on the easiest fraction questions — the ones most similar to what they had practiced. The advantage did not extend to more challenging problems.\u003c/p>\n",
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"\n\u003cp>There was a limit to the benefits for students in this study. Students in the AI-plus-mastery group performed better primarily on the easiest fraction questions — the ones most similar to what they had practiced. The advantage did not extend to more challenging problems.\u003c/p>\n"
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"innerHTML": "\n\u003cp>In this study, AI didn’t produce a deeper or more transferable understanding of fractions. Then again, it was only a 50-minute intervention and it’s unknown how this combination of AI plus mastery learning might improve student learning over the course of many months. \u003c/p>\n",
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"\n\u003cp>In this study, AI didn’t produce a deeper or more transferable understanding of fractions. Then again, it was only a 50-minute intervention and it’s unknown how this combination of AI plus mastery learning might improve student learning over the course of many months. \u003c/p>\n"
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"innerHTML": "\n\u003cp>Oreopoulos cautions against concluding that mastery learning is the best way to use AI in learning math. The researchers tested only the four combinations in their study; there could be better ways to enhance computer-assisted learning and make practice work more effective. His larger ambition is to keep testing different features against one another, continually improving the software.\u003c/p>\n",
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"\n\u003cp>Oreopoulos cautions against concluding that mastery learning is the best way to use AI in learning math. The researchers tested only the four combinations in their study; there could be better ways to enhance computer-assisted learning and make practice work more effective. His larger ambition is to keep testing different features against one another, continually improving the software.\u003c/p>\n"
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"innerHTML": "\n\u003cp>For now, he said, the goal was more modest: to show that AI “has a little bit of benefit, and talk about its potential.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>Part of that potential may lie not in helping kids learn math faster, but in helping them slow down.\u003c/p>\n",
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"innerHTML": "\n\u003cp>\u003cem>Kristin Fasiang is a graduate student in computer science and learning sciences at Northwestern University. Fasiang reported and wrote this story with The Hechinger Report’s Jill Barshay.\u003c/em>\u003c/p>\n",
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"\n\u003cp>\u003cem>Kristin Fasiang is a graduate student in computer science and learning sciences at Northwestern University. Fasiang reported and wrote this story with The Hechinger Report’s Jill Barshay.\u003c/em>\u003c/p>\n"
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"innerHTML": "\n\u003cp>\u003cem>This story about AI and \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-ai-mastery-learning/\">\u003cem>mastery learning\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"\n\u003cp>\u003cem>This story about AI and \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-ai-mastery-learning/\">\u003cem>mastery learning\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n"
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"excerpt": "A randomized experiment involved more than 6,000 Tennessee middle school students learning fractions.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>Artificial intelligence makes many tasks faster and easier. But a new study suggests that students may learn more when AI makes them slow down.\u003c/p>\n\n\n\n\u003cp>In an experiment involving more than 6,000 middle schoolers in Tennessee, students learned slightly more math when an AI tutor walked them through their mistakes and then required them to demonstrate the same skill correctly three times in a row before moving on.\u003c/p>\n\n\n\n\u003cp>Academic researchers tested four approaches to practicing fractions. Students were randomly assigned to receive either conventional computer-based instruction or the same software with an AI tutor. Within each of those groups, half the students had to correctly answer practice questions covering the same skill three times in a row if they made a mistake.\u003c/p>\n\n\n\n\u003cp>Students used \u003ca href=\"https://www.povertyactionlab.org/initiative-project/numi-ai-tutor-learning-how-best-deliver-transformative-personalized-education\">software built by researchers\u003c/a>, which was similar to Khan Academy’s videos and exercises, once for 50 minutes during math class. A week later, they took a 15-minute test to measure how much they retained.\u003c/p>\n\n\n\n\u003cp>The winning combination wasn’t the addition of AI tutoring alone, but AI tutoring plus repetition, with the idea that students needed to stick with the skill to demonstrate some level of mastery. The students who practiced math with this AI-enhanced “mastery learning” approach scored about 3 percentage points higher than students receiving conventional computerized instruction. The advantage was small. \u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“I don’t want to jump out and say we’ve demonstrated that AI is going to be the game changer that we hope it is,” said Philip Oreopoulos, lead author of the study and an economist at the University of Toronto. “But it might be the first kind of evidence that shows there’s at least some hints that it has some positive value against no AI at all.”\u003c/p>\n\n\n\n\u003cp>That’s significant because there’s mounting evidence that \u003ca href=\"https://hechingerreport.org/proof-points-ai-eroding-math-skills/\">AI is often harming learning\u003c/a>, spitting out answers for students and short-circuiting the learning process. \u003c/p>\n\n\n\n\u003cp>The study, “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment,” was conducted by researchers from the University of Toronto and the University of Pennsylvania’s Wharton School. A working paper is scheduled to be circulated by the National Bureau of Economic Research on Aug. 17 and has not yet been published in a peer-reviewed journal. The authors provided The Hechinger Report with a draft.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Making students slow down\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The researchers think AI helped because it walked students through their mistakes instead of simply showing them a solution.\u003c/p>\n\n\n\n\u003cp>Without AI, students could see a step-by-step example after getting a problem wrong. But a student can easily skim through the steps to a solution and move on, without figuring out what went wrong.\u003c/p>\n\n\n\n\u003ch4 class=\"wp-block-heading\">\u003cstrong>Numi, an AI tutor, guides students step by step\u003c/strong>\u003c/h4>\n\n\n\n\u003cfigure class=\"wp-block-image size-full\">\u003cimg loading=\"lazy\" decoding=\"async\" width=\"346\" height=\"810\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/image.png\" alt=\"\" class=\"wp-image-66544\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/image.png 346w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/08/image-160x375.png 160w\" sizes=\"auto, (max-width: 346px) 100vw, 346px\">\u003c/figure>\n\n\n\n\u003cp>Right after a mistake, an AI tutor called “Numi” walks a student through a solution step-by-step for dividing two numbers: 3 \u003csup>6\u003c/sup>/\u003csub>7\u003c/sub> ÷ 4 \u003csup>5\u003c/sup>/\u003csub>2\u003c/sub>.\u003c/p>\n\n\n\n\u003cp 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Numi, the AI tutor, encourages a student to pick a step to review in more detail. The original problem was 8 \u003csup>1\u003c/sup>/\u003csub>4\u003c/sub> ÷ 3 \u003csup>3\u003c/sup>/\u003csub>4\u003c/sub>.\u003cbr>\u003cem>Source: Appendix of Oreopoulos et al., “Making AI Tutoring Productive: Evidence from a Mastery-Based Math Practice Experiment.”\u003c/em>\u003c/p>\n\n\n\n\u003cp>The AI tutor, by contrast, could respond directly to a student’s work and guide the student through the mistake.\u003c/p>\n\n\n\n\u003cp>The students who used AI combined with mastery learning spent more time per question than students in any of the other groups — a sign that they were engaging more with the material. These students were also more likely to get the next question right after making a mistake. \u003c/p>\n\n\n\n\u003cp>That’s important because requiring students to answer three questions correctly in a row is common in educational software. But hitting a short mastery threshold doesn’t necessarily mean a student has developed a deep understanding. Students can guess their way to three correct answers or succeed from repeated exposure without really learning the skill.\u003c/p>\n\n\n\n\u003cp>There was a limit to the benefits for students in this study. Students in the AI-plus-mastery group performed better primarily on the easiest fraction questions — the ones most similar to what they had practiced. The advantage did not extend to more challenging problems.\u003c/p>\n\n\n\n\u003cp>In this study, AI didn’t produce a deeper or more transferable understanding of fractions. Then again, it was only a 50-minute intervention and it’s unknown how this combination of AI plus mastery learning might improve student learning over the course of many months. \u003c/p>\n\n\n\n\u003cp>Oreopoulos cautions against concluding that mastery learning is the best way to use AI in learning math. The researchers tested only the four combinations in their study; there could be better ways to enhance computer-assisted learning and make practice work more effective. His larger ambition is to keep testing different features against one another, continually improving the software.\u003c/p>\n\n\n\n\u003cp>For now, he said, the goal was more modest: to show that AI “has a little bit of benefit, and talk about its potential.”\u003c/p>\n\n\n\n\u003cp>Part of that potential may lie not in helping kids learn math faster, but in helping them slow down.\u003c/p>\n\n\n\n\u003cp>\u003cem>Kristin Fasiang is a graduate student in computer science and learning sciences at Northwestern University. Fasiang reported and wrote this story with The Hechinger Report’s Jill Barshay.\u003c/em>\u003c/p>\n\n\n\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This story about AI and \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-ai-mastery-learning/\">\u003cem>mastery learning\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>",
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"slug": "how-can-schools-ensure-their-vendors-deliver-results-for-students",
"title": "How Can Schools Ensure Their Vendors Deliver Results For Students? ",
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"headTitle": "How Can Schools Ensure Their Vendors Deliver Results For Students? | KQED",
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"content": "\u003cp>School purchasing can seem like an administrative backwater, far removed from the heart of teaching and learning. But the way schools buy products and services like educational software or tutoring programs can influence whether students actually learn, some policymakers argue.\u003c/p>\n\n\n\n\u003cp>Instead of paying vendors simply for delivering these tools, school districts are experimenting with a new approach to purchasing, called outcomes-based contracting, in which part of a vendor’s payment depends on whether students actually use the service and meet agreed-upon academic goals. The idea is to share risk between schools and vendors — and create incentives for both sides to pay closer attention to whether an intervention is working.\u003c/p>\n\n\n\n\u003cp>Outcomes-based contracts have long been used in the healthcare industry. For example, insurers often pay drug companies less if patients don’t improve. Since the pandemic, the method has spread rapidly in education, particularly for tutoring and educational technology. A new Michigan law requires schools to use this type of contract to tap into a $50 million fund for online or virtual tutoring. School districts in Florida, Texas, California and more than 20 other states are also experimenting with the approach, according to the \u003ca href=\"https://obc.southerneducation.org/\">Center for Outcomes Based Contracting\u003c/a>, a nonprofit organization that promotes the practice.\u003c/p>\n\n\n\n\u003cp>The first independent \u003ca href=\"https://www.wested.org/resource/evaluation-of-outcomes-based-contracting/\">evaluation of outcomes-based contracts\u003c/a> offers reasons for optimism, but also for caution. Researchers from WestEd, a San Francisco-based nonprofit research organization, studied tutoring and educational technology programs in eight early-adopter districts in California, Florida, Mississippi and Texas between August 2024 and March 2026. Three of the interventions produced measurable academic gains for students. But the study stops short of proving that the contracts themselves deserve the credit.\u003c/p>\n\n\n\n\u003cp>Researchers faced a common challenge in education: How to determine whether a particular intervention actually caused students to learn more. Student achievement depends on so many things, from classroom instruction and curriculum to family circumstances. To isolate the effect of tutoring or educational software delivered under an outcomes-based contract, WestEd compared students who had scored just below an eligibility cutoff and received the intervention with statistically similar students who had scored just above the cutoff and did not.\u003c/p>\n\n\n\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Of the 10 interventions the researchers hoped to evaluate, only four could be analyzed using this rigorous approach. Three showed positive academic effects. The fourth, an online tutoring program, was intended to run for most of the school year but lasted only about two months, too short to expect measurable gains.\u003c/p>\n\n\n\n\u003cp>For the other six interventions, researchers couldn’t make clean comparisons between similar students because schools did what schools often do: They filled empty tutoring seats with higher achieving students who weren’t supposed to get tutoring, or they failed to get eligible students to attend after-school tutoring programs, for example. One district allowed all its first graders to use reading software if they posted anything less than a perfect score on a kindergarten assessment.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Targeting interventions to the right students\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>One of the more intriguing results involved instructional reading software powered by artificial intelligence. Second graders who used the AI tutor were substantially more likely to reach proficiency on the state’s reading assessment than similar students who did not. The same program, however, did not produce benefits for older elementary students. \u003c/p>\n\n\n\n\u003cp>“That’s a really important finding,” said Brittany Miller, executive director of the Center for Outcomes Based Contracting, which commissioned the WestEd study. “Because that tells us what’s working for whom and under what conditions.” \u003c/p>\n\n\n\n\u003cp>Most schools, Miller said, were “paying for services, and we have no idea whether or not they were working for kids, or even if kids got the services.”\u003c/p>\n\n\n\n\u003cp>The mixed results that outcomes-based contracts can produce — good, bad or neutral — are equally important, Miller argues, so that schools can more precisely target the right interventions to the right kids. \u003c/p>\n\n\n\n\u003cp>“Because guess what? Not every kid needs 30 minutes of every ed tech product every week,” she said. \u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Attending to implementation\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>WestEd researchers said they observed notable changes in day-to-day implementation. Schools and vendors met regularly to review data, monitored whether students were actually attending tutoring sessions and tracked their progress toward goals. Teachers and school leaders put more energy into making sure students showed up.\u003c/p>\n\n\n\n\u003cp>But there’s a caveat. The evaluation cannot determine whether those implementation improvements stemmed from the financial incentives built into the contracts or from the extensive support the districts received from the Center for Outcomes Based Contracting. Each participating district got roughly $80,000 worth of coaching and technical assistance from the center to help design the contracts, establish outcome measures, monitor progress and troubleshoot implementation problems.\u003c/p>\n\n\n\n\u003cp>In other words, the evaluation tested outcomes-based contracting plus intensive implementation support — not the contracts in isolation. It’s possible that the coaching and technical assistance alone could have prompted schools to monitor tutoring attendance more closely, hold regular data meetings and make mid-course corrections. \u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Cutting costs\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The center is now experimenting with less expensive models that reduce the assistance to under $10,000 per district. Researchers hope future evaluations will help determine whether districts can achieve similar results with far less outside support — and whether the contracts themselves are driving the improvements.\u003c/p>\n\n\n\n\u003cp>Researchers also observed unexpected spillover effects. Once districts built data systems to monitor tutoring attendance and student progress for outcomes-based contracts, they began using those same systems to track other interventions that weren’t covered by the contracts.\u003c/p>\n\n\n\n\u003cp>“Certain interventions are not going to work with or without an outcomes-based contract,” said Sean Tanner, a researcher at WestEd on the evaluation team. “What’s really important for continual improvement is that the districts can learn really rigorously whether something is working. As a researcher, I find the OBC [outcomes-based contracting] model really compelling because it builds natural experiments into the process.”\u003c/p>\n\n\n\n\u003cp>Outcomes-based contracting can’t replace academic research. But it could help schools understand better which interventions are working in real time, instead of waiting for a multi-year randomized controlled trial to be conducted. \u003c/p>\n\n\n\n\u003cp>The evaluation didn’t find that outcomes-based contracting saved schools money. WestEd did not conduct a formal cost-effectiveness analysis, but its interviews with participating districts suggested that overall spending was similar to traditional contracts. Some districts absorbed costs when they failed to meet their own responsibilities, such as making sure students attended tutoring sessions. At the same time, some vendors reported losing money.\u003c/p>\n\n\n\n\u003cp>Whether outcomes-based contracting ultimately fulfills its promise remains an open question. Resource-strained districts are likely to have a much harder time doing it, the WestEd researchers observed. And while the researchers found positive academic results in three interventions, they still cannot determine whether those gains stemmed from the contracts themselves, the intensive coaching districts received or both. What the study does point to is that contracts can do more than enforce payments. They can change how districts monitor, manage and learn from the programs they buy.\u003c/p>\n\n\n\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>\u003cem>This story about an \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-outcomes-based-contracting-evaluation/\">\u003cem>evaluation of outcomes-based contracting\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n",
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"innerHTML": "\n\u003cp>School purchasing can seem like an administrative backwater, far removed from the heart of teaching and learning. But the way schools buy products and services like educational software or tutoring programs can influence whether students actually learn, some policymakers argue.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Instead of paying vendors simply for delivering these tools, school districts are experimenting with a new approach to purchasing, called outcomes-based contracting, in which part of a vendor’s payment depends on whether students actually use the service and meet agreed-upon academic goals. The idea is to share risk between schools and vendors — and create incentives for both sides to pay closer attention to whether an intervention is working.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Outcomes-based contracts have long been used in the healthcare industry. For example, insurers often pay drug companies less if patients don’t improve. Since the pandemic, the method has spread rapidly in education, particularly for tutoring and educational technology. A new Michigan law requires schools to use this type of contract to tap into a $50 million fund for online or virtual tutoring. School districts in Florida, Texas, California and more than 20 other states are also experimenting with the approach, according to the \u003ca href=\"https://obc.southerneducation.org/\">Center for Outcomes Based Contracting\u003c/a>, a nonprofit organization that promotes the practice.\u003c/p>\n",
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"innerHTML": "\n\u003cp>The first independent \u003ca href=\"https://www.wested.org/resource/evaluation-of-outcomes-based-contracting/\">evaluation of outcomes-based contracts\u003c/a> offers reasons for optimism, but also for caution. Researchers from WestEd, a San Francisco-based nonprofit research organization, studied tutoring and educational technology programs in eight early-adopter districts in California, Florida, Mississippi and Texas between August 2024 and March 2026. Three of the interventions produced measurable academic gains for students. But the study stops short of proving that the contracts themselves deserve the credit.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Researchers faced a common challenge in education: How to determine whether a particular intervention actually caused students to learn more. Student achievement depends on so many things, from classroom instruction and curriculum to family circumstances. To isolate the effect of tutoring or educational software delivered under an outcomes-based contract, WestEd compared students who had scored just below an eligibility cutoff and received the intervention with statistically similar students who had scored just above the cutoff and did not.\u003c/p>\n",
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"\n\u003cp>Researchers faced a common challenge in education: How to determine whether a particular intervention actually caused students to learn more. Student achievement depends on so many things, from classroom instruction and curriculum to family circumstances. To isolate the effect of tutoring or educational software delivered under an outcomes-based contract, WestEd compared students who had scored just below an eligibility cutoff and received the intervention with statistically similar students who had scored just above the cutoff and did not.\u003c/p>\n"
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"innerHTML": "\n\u003cp>Of the 10 interventions the researchers hoped to evaluate, only four could be analyzed using this rigorous approach. Three showed positive academic effects. The fourth, an online tutoring program, was intended to run for most of the school year but lasted only about two months, too short to expect measurable gains.\u003c/p>\n",
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"\n\u003cp>Of the 10 interventions the researchers hoped to evaluate, only four could be analyzed using this rigorous approach. Three showed positive academic effects. The fourth, an online tutoring program, was intended to run for most of the school year but lasted only about two months, too short to expect measurable gains.\u003c/p>\n"
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"innerHTML": "\n\u003cp>For the other six interventions, researchers couldn’t make clean comparisons between similar students because schools did what schools often do: They filled empty tutoring seats with higher achieving students who weren’t supposed to get tutoring, or they failed to get eligible students to attend after-school tutoring programs, for example. One district allowed all its first graders to use reading software if they posted anything less than a perfect score on a kindergarten assessment.\u003c/p>\n",
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"innerHTML": "\n\u003cp>One of the more intriguing results involved instructional reading software powered by artificial intelligence. Second graders who used the AI tutor were substantially more likely to reach proficiency on the state’s reading assessment than similar students who did not. The same program, however, did not produce benefits for older elementary students. \u003c/p>\n",
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"\n\u003cp>One of the more intriguing results involved instructional reading software powered by artificial intelligence. Second graders who used the AI tutor were substantially more likely to reach proficiency on the state’s reading assessment than similar students who did not. The same program, however, did not produce benefits for older elementary students. \u003c/p>\n"
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"innerHTML": "\n\u003cp>“That’s a really important finding,” said Brittany Miller, executive director of the Center for Outcomes Based Contracting, which commissioned the WestEd study. “Because that tells us what’s working for whom and under what conditions.” \u003c/p>\n",
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"innerHTML": "\n\u003cp>Most schools, Miller said, were “paying for services, and we have no idea whether or not they were working for kids, or even if kids got the services.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>The mixed results that outcomes-based contracts can produce — good, bad or neutral — are equally important, Miller argues, so that schools can more precisely target the right interventions to the right kids. \u003c/p>\n",
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"innerHTML": "\n\u003cp>“Because guess what? Not every kid needs 30 minutes of every ed tech product every week,” she said. \u003c/p>\n",
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"innerHTML": "\n\u003cp>WestEd researchers said they observed notable changes in day-to-day implementation. Schools and vendors met regularly to review data, monitored whether students were actually attending tutoring sessions and tracked their progress toward goals. Teachers and school leaders put more energy into making sure students showed up.\u003c/p>\n",
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"innerHTML": "\n\u003cp>But there’s a caveat. The evaluation cannot determine whether those implementation improvements stemmed from the financial incentives built into the contracts or from the extensive support the districts received from the Center for Outcomes Based Contracting. Each participating district got roughly $80,000 worth of coaching and technical assistance from the center to help design the contracts, establish outcome measures, monitor progress and troubleshoot implementation problems.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“Certain interventions are not going to work with or without an outcomes-based contract,” said Sean Tanner, a researcher at WestEd on the evaluation team. “What’s really important for continual improvement is that the districts can learn really rigorously whether something is working. As a researcher, I find the OBC [outcomes-based contracting] model really compelling because it builds natural experiments into the process.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>Whether outcomes-based contracting ultimately fulfills its promise remains an open question. Resource-strained districts are likely to have a much harder time doing it, the WestEd researchers observed. And while the researchers found positive academic results in three interventions, they still cannot determine whether those gains stemmed from the contracts themselves, the intensive coaching districts received or both. What the study does point to is that contracts can do more than enforce payments. They can change how districts monitor, manage and learn from the programs they buy.\u003c/p>\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>School purchasing can seem like an administrative backwater, far removed from the heart of teaching and learning. But the way schools buy products and services like educational software or tutoring programs can influence whether students actually learn, some policymakers argue.\u003c/p>\n\n\n\n\u003cp>Instead of paying vendors simply for delivering these tools, school districts are experimenting with a new approach to purchasing, called outcomes-based contracting, in which part of a vendor’s payment depends on whether students actually use the service and meet agreed-upon academic goals. The idea is to share risk between schools and vendors — and create incentives for both sides to pay closer attention to whether an intervention is working.\u003c/p>\n\n\n\n\u003cp>Outcomes-based contracts have long been used in the healthcare industry. For example, insurers often pay drug companies less if patients don’t improve. Since the pandemic, the method has spread rapidly in education, particularly for tutoring and educational technology. A new Michigan law requires schools to use this type of contract to tap into a $50 million fund for online or virtual tutoring. School districts in Florida, Texas, California and more than 20 other states are also experimenting with the approach, according to the \u003ca href=\"https://obc.southerneducation.org/\">Center for Outcomes Based Contracting\u003c/a>, a nonprofit organization that promotes the practice.\u003c/p>\n\n\n\n\u003cp>The first independent \u003ca href=\"https://www.wested.org/resource/evaluation-of-outcomes-based-contracting/\">evaluation of outcomes-based contracts\u003c/a> offers reasons for optimism, but also for caution. Researchers from WestEd, a San Francisco-based nonprofit research organization, studied tutoring and educational technology programs in eight early-adopter districts in California, Florida, Mississippi and Texas between August 2024 and March 2026. Three of the interventions produced measurable academic gains for students. But the study stops short of proving that the contracts themselves deserve the credit.\u003c/p>\n\n\n\n\u003cp>Researchers faced a common challenge in education: How to determine whether a particular intervention actually caused students to learn more. Student achievement depends on so many things, from classroom instruction and curriculum to family circumstances. To isolate the effect of tutoring or educational software delivered under an outcomes-based contract, WestEd compared students who had scored just below an eligibility cutoff and received the intervention with statistically similar students who had scored just above the cutoff and did not.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Of the 10 interventions the researchers hoped to evaluate, only four could be analyzed using this rigorous approach. Three showed positive academic effects. The fourth, an online tutoring program, was intended to run for most of the school year but lasted only about two months, too short to expect measurable gains.\u003c/p>\n\n\n\n\u003cp>For the other six interventions, researchers couldn’t make clean comparisons between similar students because schools did what schools often do: They filled empty tutoring seats with higher achieving students who weren’t supposed to get tutoring, or they failed to get eligible students to attend after-school tutoring programs, for example. One district allowed all its first graders to use reading software if they posted anything less than a perfect score on a kindergarten assessment.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Targeting interventions to the right students\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>One of the more intriguing results involved instructional reading software powered by artificial intelligence. Second graders who used the AI tutor were substantially more likely to reach proficiency on the state’s reading assessment than similar students who did not. The same program, however, did not produce benefits for older elementary students. \u003c/p>\n\n\n\n\u003cp>“That’s a really important finding,” said Brittany Miller, executive director of the Center for Outcomes Based Contracting, which commissioned the WestEd study. “Because that tells us what’s working for whom and under what conditions.” \u003c/p>\n\n\n\n\u003cp>Most schools, Miller said, were “paying for services, and we have no idea whether or not they were working for kids, or even if kids got the services.”\u003c/p>\n\n\n\n\u003cp>The mixed results that outcomes-based contracts can produce — good, bad or neutral — are equally important, Miller argues, so that schools can more precisely target the right interventions to the right kids. \u003c/p>\n\n\n\n\u003cp>“Because guess what? Not every kid needs 30 minutes of every ed tech product every week,” she said. \u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Attending to implementation\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>WestEd researchers said they observed notable changes in day-to-day implementation. Schools and vendors met regularly to review data, monitored whether students were actually attending tutoring sessions and tracked their progress toward goals. Teachers and school leaders put more energy into making sure students showed up.\u003c/p>\n\n\n\n\u003cp>But there’s a caveat. The evaluation cannot determine whether those implementation improvements stemmed from the financial incentives built into the contracts or from the extensive support the districts received from the Center for Outcomes Based Contracting. Each participating district got roughly $80,000 worth of coaching and technical assistance from the center to help design the contracts, establish outcome measures, monitor progress and troubleshoot implementation problems.\u003c/p>\n\n\n\n\u003cp>In other words, the evaluation tested outcomes-based contracting plus intensive implementation support — not the contracts in isolation. It’s possible that the coaching and technical assistance alone could have prompted schools to monitor tutoring attendance more closely, hold regular data meetings and make mid-course corrections. \u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Cutting costs\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>The center is now experimenting with less expensive models that reduce the assistance to under $10,000 per district. Researchers hope future evaluations will help determine whether districts can achieve similar results with far less outside support — and whether the contracts themselves are driving the improvements.\u003c/p>\n\n\n\n\u003cp>Researchers also observed unexpected spillover effects. Once districts built data systems to monitor tutoring attendance and student progress for outcomes-based contracts, they began using those same systems to track other interventions that weren’t covered by the contracts.\u003c/p>\n\n\n\n\u003cp>“Certain interventions are not going to work with or without an outcomes-based contract,” said Sean Tanner, a researcher at WestEd on the evaluation team. “What’s really important for continual improvement is that the districts can learn really rigorously whether something is working. As a researcher, I find the OBC [outcomes-based contracting] model really compelling because it builds natural experiments into the process.”\u003c/p>\n\n\n\n\u003cp>Outcomes-based contracting can’t replace academic research. But it could help schools understand better which interventions are working in real time, instead of waiting for a multi-year randomized controlled trial to be conducted. \u003c/p>\n\n\n\n\u003cp>The evaluation didn’t find that outcomes-based contracting saved schools money. WestEd did not conduct a formal cost-effectiveness analysis, but its interviews with participating districts suggested that overall spending was similar to traditional contracts. Some districts absorbed costs when they failed to meet their own responsibilities, such as making sure students attended tutoring sessions. At the same time, some vendors reported losing money.\u003c/p>\n\n\n\n\u003cp>Whether outcomes-based contracting ultimately fulfills its promise remains an open question. Resource-strained districts are likely to have a much harder time doing it, the WestEd researchers observed. And while the researchers found positive academic results in three interventions, they still cannot determine whether those gains stemmed from the contracts themselves, the intensive coaching districts received or both. What the study does point to is that contracts can do more than enforce payments. They can change how districts monitor, manage and learn from the programs they buy.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>\u003cem>This story about an \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-outcomes-based-contracting-evaluation/\">\u003cem>evaluation of outcomes-based contracting\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>",
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"content": "\u003cp>Scientists rarely announce that one of their long-held ideas has failed.\u003c/p>\n\n\n\n\u003cp>But that is exactly what Ron Avi Astor, one of the nation’s leading scholars of school violence and a professor at the University of California, Los Angeles, said before fellow researchers at the annual meeting in April of the American Educational Research Association (AERA).\u003c/p>\n\n\n\n\u003cp>“We were wrong,” Astor told the audience.\u003c/p>\n\n\n\n\u003cp>For decades, Astor believed that improving school climate and reducing bullying would help prevent school shootings. He advised national policymakers and issued recommendations. Schools responded by investing heavily in social-emotional learning, restorative justice, trauma-informed care, counseling and other efforts to make schools safer and more welcoming.\u003c/p>\n\n\n\n\u003cp>Those initiatives have benefited students in many ways. Fewer students report bringing guns or knives to school, and schools have generally become safer.\u003c/p>\n\n\n\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>But school shootings have not declined.\u003c/p>\n\n\n\n\u003cp>“I’ve had a complete change” in my thinking, Astor told me in an interview after the conference.\u003c/p>\n\n\n\n\u003cp>That shift came after he stepped back and looked at the evidence. During his AERA presentation, Astor showed a slide with two stark graphs. One traced a steady decline in students bringing weapons to California schools over the quarter century since the Columbine High School massacre in Colorado. The other graph showed a sharp rise in school shootings across the nation.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Diverging trends\u003c/strong>\u003c/h2>\n\n\n\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg loading=\"lazy\" decoding=\"async\" width=\"2000\" height=\"922\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-2000x922.png\" alt=\"\" class=\"wp-image-66497\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-2000x922.png 2000w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-160x74.png 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-768x354.png 768w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-1536x708.png 1536w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-2048x944.png 2048w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-element-caption\">Divergent trends in student-reported weapon-related behavior and national school shooting incidents, 2001–2024. Panel A shows the percentage of California secondary school students (grades 7, 9, and 11) reporting four weapon-related behaviors in the California Healthy Kids Survey during academic years 2001–2024. All four indicators declined substantially over the study period. Panel B shows the annual count of school shooting incidents recorded in the K-12 School Shooting Database, which captures any incident in which a gun was brandished, fired, or a bullet struck school property in the United States. Key events and the COVID-19 disruption period (shaded) are annotated.\u003cbr>\u003cem>Source: A slide from Ron Avi Astor’s presentation during an \u003ca href=\"https://www.aera.net/Portals/38/Insider%20-%20April%2011_1.pdf\">AERA session\u003c/a> on April 11, 2026, “School Active Shooter Drills: Mitigating Risks to Mental, Emotional, and Behavioral Health – A Report from the National Academies of Sciences, Engineering, and Medicine.”\u003c/em>\u003c/figcaption>\u003c/figure>\n\n\n\n\u003cp>The graphs capture a painful realization. Astor says he and other researchers had misunderstood what was driving many school shootings.\u003c/p>\n\n\n\n\u003cp>Astor noted that many school shooters had been bullied, were bullies themselves or had experienced trauma, and he believed that shootings would decline if educators reduced bullying and strengthened relationships among students locally, one school building at a time. “We were adamant,” Astor said. “Let’s focus on prevention.”\u003c/p>\n\n\n\n\u003cp>“What was missed, I believe, was that each shooter wanted to make sure that this was national,” Astor said. “Their number one audience was the media. That’s really clear to me now.”\u003c/p>\n\n\n\n\u003cp>Astor now believes many perpetrators are driven by a desire for notoriety. Shooters study previous massacres, learn from online communities and seek the publicity that follows a mass attack.\u003c/p>\n\n\n\n\u003cp>“Most of them are suicidal, and they decided to be homicidal so that they would be remembered,” Astor said.\u003c/p>\n\n\n\n\u003cp>That new way of thinking has led him to a very different recommendation. Rather than focusing on prevention inside schools, Astor believes journalists and social media companies should adopt guidelines that reduce attention on perpetrators, delay publication of manifestos and videos, and focus more coverage on victims.\u003c/p>\n\n\n\n\u003cp>“I’m not saying don’t do social-emotional or anti-gun” efforts, Astor said. “Those things are important. But if we want to see a reduction in school shootings, we need to work with the media.”\u003c/p>\n\n\n\n\u003cp>Astor compares school shootings to suicide contagions or spates of terrorism, where extensive publicity can inspire copycats. He acknowledges that it’s a long shot to persuade social media companies or the dark web to change, and he cannot prove that changing will work to reduce school shootings. “But it’s worth a try,” he said.\u003c/p>\n\n\n\n\u003cp>What makes Astor’s argument noteworthy isn’t simply his new hypothesis. It’s his willingness to publicly abandon an old one after concluding that the evidence no longer supported it. It’s never easy to change course but Astor’s openness could save lives.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-school-shootings/\">\u003cem>preventing school shootings\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n",
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"innerHTML": "\n\u003cp>Astor compares school shootings to suicide contagions or spates of terrorism, where extensive publicity can inspire copycats. He acknowledges that it’s a long shot to persuade social media companies or the dark web to change, and he cannot prove that changing will work to reduce school shootings. “But it’s worth a try,” he said.\u003c/p>\n",
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"innerHTML": "\n\u003cp>What makes Astor’s argument noteworthy isn’t simply his new hypothesis. It’s his willingness to publicly abandon an old one after concluding that the evidence no longer supported it. It’s never easy to change course but Astor’s openness could save lives.\u003c/p>\n",
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"innerHTML": "\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-school-shootings/\">\u003cem>preventing school shootings\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"excerpt": "Anti-bullying and social-emotional learning haven’t reduced school shootings. Minimizing public attention on shooters might.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>Scientists rarely announce that one of their long-held ideas has failed.\u003c/p>\n\n\n\n\u003cp>But that is exactly what Ron Avi Astor, one of the nation’s leading scholars of school violence and a professor at the University of California, Los Angeles, said before fellow researchers at the annual meeting in April of the American Educational Research Association (AERA).\u003c/p>\n\n\n\n\u003cp>“We were wrong,” Astor told the audience.\u003c/p>\n\n\n\n\u003cp>For decades, Astor believed that improving school climate and reducing bullying would help prevent school shootings. He advised national policymakers and issued recommendations. Schools responded by investing heavily in social-emotional learning, restorative justice, trauma-informed care, counseling and other efforts to make schools safer and more welcoming.\u003c/p>\n\n\n\n\u003cp>Those initiatives have benefited students in many ways. Fewer students report bringing guns or knives to school, and schools have generally become safer.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>But school shootings have not declined.\u003c/p>\n\n\n\n\u003cp>“I’ve had a complete change” in my thinking, Astor told me in an interview after the conference.\u003c/p>\n\n\n\n\u003cp>That shift came after he stepped back and looked at the evidence. During his AERA presentation, Astor showed a slide with two stark graphs. One traced a steady decline in students bringing weapons to California schools over the quarter century since the Columbine High School massacre in Colorado. The other graph showed a sharp rise in school shootings across the nation.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Diverging trends\u003c/strong>\u003c/h2>\n\n\n\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg loading=\"lazy\" decoding=\"async\" width=\"2000\" height=\"922\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-2000x922.png\" alt=\"\" class=\"wp-image-66497\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-2000x922.png 2000w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-160x74.png 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-768x354.png 768w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-1536x708.png 1536w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/Weapons-in-schools-2048x944.png 2048w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-element-caption\">Divergent trends in student-reported weapon-related behavior and national school shooting incidents, 2001–2024. Panel A shows the percentage of California secondary school students (grades 7, 9, and 11) reporting four weapon-related behaviors in the California Healthy Kids Survey during academic years 2001–2024. All four indicators declined substantially over the study period. Panel B shows the annual count of school shooting incidents recorded in the K-12 School Shooting Database, which captures any incident in which a gun was brandished, fired, or a bullet struck school property in the United States. Key events and the COVID-19 disruption period (shaded) are annotated.\u003cbr>\u003cem>Source: A slide from Ron Avi Astor’s presentation during an \u003ca href=\"https://www.aera.net/Portals/38/Insider%20-%20April%2011_1.pdf\">AERA session\u003c/a> on April 11, 2026, “School Active Shooter Drills: Mitigating Risks to Mental, Emotional, and Behavioral Health – A Report from the National Academies of Sciences, Engineering, and Medicine.”\u003c/em>\u003c/figcaption>\u003c/figure>\n\n\n\n\u003cp>The graphs capture a painful realization. Astor says he and other researchers had misunderstood what was driving many school shootings.\u003c/p>\n\n\n\n\u003cp>Astor noted that many school shooters had been bullied, were bullies themselves or had experienced trauma, and he believed that shootings would decline if educators reduced bullying and strengthened relationships among students locally, one school building at a time. “We were adamant,” Astor said. “Let’s focus on prevention.”\u003c/p>\n\n\n\n\u003cp>“What was missed, I believe, was that each shooter wanted to make sure that this was national,” Astor said. “Their number one audience was the media. That’s really clear to me now.”\u003c/p>\n\n\n\n\u003cp>Astor now believes many perpetrators are driven by a desire for notoriety. Shooters study previous massacres, learn from online communities and seek the publicity that follows a mass attack.\u003c/p>\n\n\n\n\u003cp>“Most of them are suicidal, and they decided to be homicidal so that they would be remembered,” Astor said.\u003c/p>\n\n\n\n\u003cp>That new way of thinking has led him to a very different recommendation. Rather than focusing on prevention inside schools, Astor believes journalists and social media companies should adopt guidelines that reduce attention on perpetrators, delay publication of manifestos and videos, and focus more coverage on victims.\u003c/p>\n\n\n\n\u003cp>“I’m not saying don’t do social-emotional or anti-gun” efforts, Astor said. “Those things are important. But if we want to see a reduction in school shootings, we need to work with the media.”\u003c/p>\n\n\n\n\u003cp>Astor compares school shootings to suicide contagions or spates of terrorism, where extensive publicity can inspire copycats. He acknowledges that it’s a long shot to persuade social media companies or the dark web to change, and he cannot prove that changing will work to reduce school shootings. “But it’s worth a try,” he said.\u003c/p>\n\n\n\n\u003cp>What makes Astor’s argument noteworthy isn’t simply his new hypothesis. It’s his willingness to publicly abandon an old one after concluding that the evidence no longer supported it. It’s never easy to change course but Astor’s openness could save lives.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-school-shootings/\">\u003cem>preventing school shootings\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>",
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"slug": "adhd-looks-different-in-girls-and-women-posing-unique-health-risks",
"title": "ADHD Looks Different in Girls and Women, Posing Unique Health Risks",
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"content": "\u003cp>School used to be pretty easy for Kate Jarvis when she was a little girl, back in the 1980s. She was a straight-A student, creative, and so organized that she’d even prep her toothbrush with toothpaste each night before school. She says her mother used to call her “bright-eyed and bushy tailed.”\u003c/p>\n\u003cp>Then puberty hit, and everything started to fall apart. She found it harder to focus in school, and her grades slipped. “It really hit my self-esteem badly. I felt pretty awful about myself,” she says.\u003c/p>\n\u003cp>In high school, she was diagnosed with anxiety and depression. She struggled to fit in. She says it stung when teachers would write comments like, “Kate has so much potential, if only she’d apply herself.”\u003c/p>\n\u003cp>“So it felt like character flaws rather than what it really was, which was undiagnosed ADHD,” says Jarvis, who didn’t get a diagnosis until her late 30s.\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/2592x1936+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2Fd4%2F94%2F8acfbc164e4f89e48ea3380e3f9a%2Fkate-march-14-2014-post-diagnosis.JPG\" alt=\"Kate Jarvis says that her diagnosis of ADHD in her 30s felt revolutionary. 'Something I had been wrestling with for 25 years had a name, causes, symptoms and effects.' However, the diagnosis came with challenges as well. 'Just because you know what something is, doesn't mean you can immediately fix it. And that's what I felt - like I needed to fix myself.'\">\u003cfigcaption>Kate Jarvis says that her diagnosis of ADHD in her 30s felt revolutionary. “Something I had been wrestling with for 25 years had a name, causes, symptoms and effects.” However, the diagnosis came with challenges as well. “Just because you know what something is, doesn’t mean you can immediately fix it. And that’s what I felt – like I needed to fix myself.” \u003ccite> (Jarvis family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Researchers say Jarvis’ story is pretty common. For decades, ADHD, or attention deficit hyperactivity disorder, was considered a childhood disease that mostly affected boys – and boys were the focus of most research, says \u003ca href=\"https://www.dukehealth.org/find-doctors-physicians/julia-c-schechter-phd\" target=\"_blank\" rel=\"noopener\">Julia Schechter\u003c/a>, a clinical psychologist and co-director of the \u003ca href=\"https://psychiatry.duke.edu/duke-center-girls-women-adhd\" target=\"_blank\" rel=\"noopener\">Duke Center for Girls and Women with ADHD\u003c/a>. But ADHD often manifests differently in girls.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>“They’re more likely to appear distracted, disorganized, kind of have their head in the clouds rather than show that overt, hyperactive or impulsive behavior that can disrupt a classroom,” Schechter says.\u003c/p>\n\u003cp>She says those symptoms in girls are easier to miss. That’s one reason why girls tend to get diagnosed years later than boys, often not until adulthood. Instead, women will spend years wondering what’s wrong with them, being treated for anxiety or depression without addressing the underlying cause.\u003c/p>\n\u003cp>“Sometimes those conditions are truly present,” Schechter says. “Other times they’re secondary to years of undiagnosed and untreated ADHD.”\u003c/p>\n\u003ch2>\u003cstrong>The heavy health cost of missed treatment\u003c/strong>\u003c/h2>\n\u003cp>There is a cost to those years of missed treatment. ADHD is a neurodevelopmental condition that influences many aspects of a person’s life and can bring challenges with social relationships, impulse control and low self-esteem.\u003c/p>\n\u003cp>“For women, \u003ca href=\"https://acamh.onlinelibrary.wiley.com/doi/10.1111/jcpp.13480\" target=\"_blank\" rel=\"noopener\">the risks are even more striking\u003c/a>,” Schechter says. “So compared to girls and women without ADHD, those with ADHD have more problems with friendships. They’re more likely to experience abuse by romantic partners, more likely to have a teen pregnancy compared to boys and men with ADHD.” They’re also more likely to have feelings of worthlessness and self-harm or attempt suicide.\u003c/p>\n\u003cp>And there are other health risks for women, including a higher incidence of obesity, eating disorders, type 2 diabetes and cardiovascular disease than their peers without the condition, says Dr. Patricia Quinn, a developmental pediatrician who has specialized in ADHD in women and girls for decades. She says several factors linked to ADHD can contribute to these risks. They include impulsivity, trouble sleeping, an inability to maintain healthy routines, the chronic stress of living with unmanaged symptoms and poor food choices driven by the need to seek dopamine.\u003c/p>\n\u003cp>Last year, a \u003ca href=\"https://www.npr.org/sections/shots-health-news/2025/01/23/nx-s1-5272801/adhd-research-shorter-life-expectancy-attention-deficit-hyperactivity-disorder\" target=\"_blank\" rel=\"noopener\">large study from the UK\u003c/a> found women with ADHD die on average nearly nine years earlier than their peers without the disorder – and two years earlier than men with ADHD. Yet many people don’t realize just how serious ADHD can be.\u003c/p>\n\u003cp>“It’s not just an excuse for ‘why I’m always late for work,'” Quinn says. “It’s a significant problem in their lives.”\u003c/p>\n\u003cp>In recent years, growing recognition of gender differences in ADHD has helped lead to a surge in diagnoses among adult women – nearly 7 million women in the U.S. had the diagnosis as of 2023, according to federal data analyzed by the nonprofit Children and Adults with Attention-Deficit/Hyperactivity Disorder, or CHADD\u003cstrong>. \u003c/strong>While boys are still diagnosed at roughly 2 to 3 times the rate of girls, those disparities \u003ca href=\"https://chadd.org/for-adults/women-and-girls/\" target=\"_blank\" rel=\"noopener\">even out\u003c/a> in adulthood.\u003c/p>\n\u003ch2>\u003cstrong>A breaking point in midlife\u003c/strong>\u003c/h2>\n\u003cp>Often, women can spend years masking their symptoms, says \u003ca href=\"https://www.drellenlittman.com/\" target=\"_blank\" rel=\"noopener\">Ellen Littman,\u003c/a> a clinical psychologist who specializes in women with ADHD. But when life gets more complex, their compensation systems can crumble.\u003c/p>\n\u003cp>“And it just reaches a critical mass point of, ‘I can’t manage all of this,'” Littman says.\u003c/p>\n\u003cp>For Amy Reyer, that breaking point came at age 48. She was caring for two teens and aging parents, and had a demanding job that had her constantly on call.\u003c/p>\n\u003cp>“I was holding it together, as I’d learned to do, but a lot was breaking down,” Reyer says.\u003c/p>\n\u003cp>Reyer says her whole life, she’d struggled with focus and anxiety. She felt like she always had to work three times as hard as her peers to get things done.\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/614x768+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2F28%2F1e%2F174cf3cd4f569e08c4715135ac8e%2F8297c9fd-04d0-463d-854f-30c03f535d17-1-105-c.jpeg\" alt=\"Amy Reyer in her sophomore year at Sidwell Friends School. 'I just assumed that everything I was going to do was going to be really, really difficult – and more difficult for me,' Reyer says. 'But I didn't know why at that time until I was diagnosed.'\">\u003cfigcaption>Amy Reyer in her sophomore year at Sidwell Friends School. “I just assumed that everything I was going to do was going to be really, really difficult – and more difficult for me,” Reyer says. “But I didn’t know why at that time until I was diagnosed.”\u003cbr>\n\u003ccite> (Reyer family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>“I spent most of my life trying to prove that I wasn’t defective,” she says.\u003c/p>\n\u003cp>“I just assumed that everything I was going to do was going to be really, really difficult – and more difficult for me. But I didn’t know why at that time until I was diagnosed.”\u003c/p>\n\u003cp>Still, she’d managed to earn a doctorate and had a successful career in media. Then perimenopause hit, and it all became too much. “I was pretty overwhelmed and I wasn’t sleeping,” Reyer says.\u003c/p>\n\u003cp>Emerging evidence suggests fluctuations in estrogen levels can exacerbate symptoms of ADHD, and perimenopause might be a particularly vulnerable time. Research suggests women with ADHD enter \u003ca href=\"https://www.additudemag.com/perimenopause-symptoms-adhd-women-research/\" target=\"_blank\" rel=\"noopener\">perimenopause years earlier than those without the disorder\u003c/a> and experience more \u003ca href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC12538516/\" target=\"_blank\" rel=\"noopener\">severe symptoms\u003c/a> during this menopausal transition.\u003c/p>\n\u003cp>One \u003ca href=\"https://www.h3-netwerk.nl/wp-content/uploads/2023/04/INS-Poster-Perimenopause-Menopause-and-ADHD-1-25-23final-Alleen-lezen.pdf\" target=\"_blank\" rel=\"noopener\">survey\u003c/a> of more than 3,000 women with ADHD found the vast majority had been diagnosed for the first time during the menopausal years. “The big, big shift was brain fog and executive functioning problems during the menopausal years,” says \u003ca href=\"https://jeanettewasserstein.com/\" target=\"_blank\" rel=\"noopener\">Jeanette Wasserstein\u003c/a>, a neuropsychologist who conducted the survey. She specializes in ADHD and is on the faculty at the Icahn School of Medicine at Mount Sinai.\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/768x1024+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2F49%2F60%2Fb95037704b3c91f37cc799f09098%2F9ab4afae-48c6-43e4-b888-de21fd54e9e7-1-105-c.jpeg\" alt=\"Amy Reyer started treatment for ADHD after being diagnosed in her late 40s.\">\u003cfigcaption>Amy Reyer started treatment for ADHD after being diagnosed in her late 40s. \u003ccite> (Reyer family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Reyer says she’d first suspected she had ADHD after her son was diagnosed, because the disorder is highly genetic. She says when she was diagnosed in her late 40s, it changed her life because it led to treatment. Once she found an ADHD medication that worked for her, it was like a lightbulb came on.\u003c/p>\n\u003cp>“I remember just saying to myself, ‘Oh my God, this must be what normal feels like,'” she says.\u003c/p>\n\u003ch2>\u003cstrong>Treatment beyond medication\u003c/strong>\u003c/h2>\n\u003cp>Medication is just one part of treatment. Dr. Patricia Quinn, who recently released a \u003ca href=\"https://www.routledge.com/A-Clinicians-Guide-to-ADHD-in-Women-Diagnosis-and-Treatment/Nadeau-Quinn-Morse/p/book/9781032883250\" target=\"_blank\" rel=\"noopener\">guide for clinicians to treat ADHD in women\u003c/a>, says for women in perimenopause, hormone replacement therapy can also be helpful. And because so many women have dealt with a lifetime of demoralization and shame, she says therapy – especially \u003ca href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC12434339/\" target=\"_blank\" rel=\"noopener\">cognitive behavioral therapy\u003c/a> – is also key, “because you need to rewrite all those scripts that are going on in your head.”\u003c/p>\n\u003cp>Psychologist Ellen Littman says in her practice, the focus is on helping women reframe their understanding of themselves “from ‘I’m a broken loser and I’m useless’ to helping them see themselves through the lens of this neurological information. And it changes their self-esteem and their ability to be effective in their lives and more confident as a parent and a partner.”\u003c/p>\n\u003cp>Lifestyle changes like exercise, meditation and a healthy diet can also help, says \u003ca href=\"https://drkathleennadeau.com/about-dr-nadeau/\" target=\"_blank\" rel=\"noopener\">Kathleen Nadeau\u003c/a>, a clinical psychologist in Maryland who’s been working with women and girls with ADHD for more than four decades. She says she encourages patients to find environments that play to their strengths – which can sometimes mean career changes.\u003c/p>\n\u003cp>“The metaphor I use is to plant yourself in the right garden, where the things that you’re good at can be nourished and expanded,” Nadeau says. “And the things that you struggle with are not what is emphasized in terms of what you’re supposed to do every day.”\u003c/p>\n\u003ch2>\u003cstrong>Learning to thrive \u003c/strong>\u003c/h2>\n\u003cp>Ruth Danoff says getting an ADHD diagnosis at age 50 led to a process of understanding her life – her inability to focus and do well in school as a child despite being told she was bright, the years of struggling with “big emotions” and feeling overwhelmed.\u003c/p>\n\u003cp>It also ultimately led to a new professional path. After spending her whole career in administrative support jobs where she says she was consistently “dinged for not paying enough attention to detail,” now, at age 65, she’s become an entrepreneur and advocate for other women with ADHD. She serves on the community advisory council at the Duke Center for Girls and Women with ADHD .\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/2316x3088+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2F65%2Fa5%2Fa39a898541728d5357d69ebf2443%2Fruth-danoff-02.jpeg\" alt=\"Ruth Danoff, here in Carolina Beach, N.C., was diagnosed with ADHD at 50 and says it changed her life. The diagnosis put into perspective her childhood and led to a career change.\">\u003cfigcaption>Ruth Danoff, here in Carolina Beach, N.C., was diagnosed with ADHD at 50 and says it changed her life. The diagnosis put into perspective her childhood and led to a career change. \u003ccite> (Danoff family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>“My mission in life is that I don’t want any woman to go through what I went through,” Danoff says. “And if I can help just one woman, that’s the best feeling in the world.”\u003c/p>\n\u003cp>Kate Jarvis says seeking a diagnosis, no matter your age, is worth it. After feeling like she didn’t quite measure up for so long, getting diagnosed with ADHD as an adult led her to medication and therapy, and ultimately, self-acceptance.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>“There is so much joy waiting on the other side,” she says. “There’s so much joy.”\u003c/p>\n\u003cdiv class=\"npr-transcript\">\n\u003cp>\u003cstrong>Transcript:\u003c/strong>\u003c/p>\n\u003cp>A MARTÍNEZ, HOST:\u003c/p>\n\u003cp>ADHD, Attention Deficit Hyperactivity Disorder, was once viewed as a childhood condition mostly affecting hyperactive boys. Many girls remain undiagnosed until adulthood. NPR’s Maria Godoy reports on the repercussions.\u003c/p>\n\u003cp>MARIA GODOY, BYLINE: School used to be pretty easy for Kate Jarvis when she was a little girl, back in the 1980s.\u003c/p>\n\u003cp>KATE JARVIS: I started out as a fantastic student. My mom used to refer to me as bright-eyed and bushy tailed.\u003c/p>\n\u003cp>GODOY: She got straight A’s, was creative and so organized, she’d even prep her toothbrush with toothpaste each night. Then puberty hit and everything started to fall apart. She found it harder to focus and her grades slipped.\u003c/p>\n\u003cp>JARVIS: It really hit my self-esteem badly. I felt pretty awful about myself.\u003c/p>\n\u003cp>GODOY: In high school, she was diagnosed with anxiety and depression. She struggled to fit in. She says it stung when teachers would write comments like, Kate has so much potential, if only she’d apply herself.\u003c/p>\n\u003cp>JARVIS: So it felt like character flaws, rather than what it really was, which is undiagnosed ADHD.\u003c/p>\n\u003cp>GODOY: Researchers say Jarvis’ story is pretty common. For decades, ADHD research was conducted mostly on boys, but ADHD often looks different in girls, says Julia Schechter, of the Duke Center for Girls and Women with ADHD.\u003c/p>\n\u003cp>JULIA SCHECHTER: They’re more likely to appear distracted, disorganized, kind of have their head in the clouds, rather than show that over hyperactive or impulsive behavior that can disrupt a classroom.\u003c/p>\n\u003cp>GODOY: She says those symptoms are easier to miss. That’s one reason why girls tend to get diagnosed years later than boys, often not until adulthood. Instead, women will spend years wondering what’s wrong with them, being treated for anxiety or depression without addressing the underlying cause.\u003c/p>\n\u003cp>SCHECHTER: Sometimes those conditions are truly present. Other times, they’re secondary to years of undiagnosed and untreated ADHD.\u003c/p>\n\u003cp>GODOY: There is a cost to those lost years. ADHD is a neurodevelopmental condition that can influence impulse control and low self-esteem.\u003c/p>\n\u003cp>SCHECHTER: And for women, the risks are even more striking. So compared to girls and women without ADHD, those with ADHD have more problems with friendships. They’re more likely to experience abuse by romantic partners, more likely to have a teen pregnancy.\u003c/p>\n\u003cp>GODOY: They’re also much more likely to self-harm. And there are other health risks, says Dr. Patricia Quinn. She’s a developmental pediatrician specializing in ADHD in women and girls.\u003c/p>\n\u003cp>PATRICIA QUINN: There is a higher incidence of many medical conditions in women with ADHD. And what we’re seeing is, for example, obesity, eating disorders, heart disease.\u003c/p>\n\u003cp>GODOY: A large study from the U.K. found women with ADHD die on average nearly nine years earlier than their peers without the disorder.\u003c/p>\n\u003cp>QUINN: It’s not just an excuse for why I’m always late for work. It’s a significant problem in their lives.\u003c/p>\n\u003cp>GODOY: In recent years, growing recognition of gender differences in ADHD has helped lead to a surge in diagnosis among adult women. Nearly 7 million women have the diagnosis as of 2023. Experts say women often spend years masking their symptoms. But when life gets more complex, their compensation systems can crumble. Amy Reyer says she’d struggled her whole life with focus.\u003c/p>\n\u003cp>AMY REYER: I just assumed that everything I was going to do was going to be really, really difficult and more difficult for me, but I didn’t know why at that time until I was diagnosed.\u003c/p>\n\u003cp>GODOY: Her breaking point came at age 48. She was caring for two teens and had a demanding job. When perimenopause hit, it all became too much.\u003c/p>\n\u003cp>REYER: So I was pretty overwhelmed and I wasn’t sleeping.\u003c/p>\n\u003cp>GODOY: In fact, research suggests estrogen fluctuations can exacerbate symptoms of ADHD in women, and perimenopause might be a particularly vulnerable time. Reyer says finally getting diagnosed was life-changing because it led to treatment. Once she found an ADHD medication that worked for her, it was like a light bulb came on.\u003c/p>\n\u003cp>REYER: Just saying to myself, oh, my God. This must be what normal feels like.\u003c/p>\n\u003cp>GODOY: Medication is just one part of treatment. Dr. Patricia Quinn says because so many women have dealt with a lifetime of demoralization and shame, cognitive behavioral therapy is also key.\u003c/p>\n\u003cp>QUINN: Because you need to rewrite all those scripts that are going on in your head.\u003c/p>\n\u003cp>GODOY: Kate Jarvis says, after feeling like she didn’t quite measure up for so long, getting diagnosed with ADHD in her late 30s led her to medication and therapy, and ultimately to self-acceptance.\u003c/p>\n\u003cp>JARVIS: There’s so much joy waiting on the other side. There is so much joy.\u003c/p>\n\u003cp>GODOY: Maria Godoy, NPR News.\u003c/p>\n\u003cp>(SOUNDBITE OF MUSIC)\u003c/p>\n\u003c/div>\n\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>School used to be pretty easy for Kate Jarvis when she was a little girl, back in the 1980s. She was a straight-A student, creative, and so organized that she’d even prep her toothbrush with toothpaste each night before school. She says her mother used to call her “bright-eyed and bushy tailed.”\u003c/p>\n\u003cp>Then puberty hit, and everything started to fall apart. She found it harder to focus in school, and her grades slipped. “It really hit my self-esteem badly. I felt pretty awful about myself,” she says.\u003c/p>\n\u003cp>In high school, she was diagnosed with anxiety and depression. She struggled to fit in. She says it stung when teachers would write comments like, “Kate has so much potential, if only she’d apply herself.”\u003c/p>\n\u003cp>“So it felt like character flaws rather than what it really was, which was undiagnosed ADHD,” says Jarvis, who didn’t get a diagnosis until her late 30s.\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/2592x1936+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2Fd4%2F94%2F8acfbc164e4f89e48ea3380e3f9a%2Fkate-march-14-2014-post-diagnosis.JPG\" alt=\"Kate Jarvis says that her diagnosis of ADHD in her 30s felt revolutionary. 'Something I had been wrestling with for 25 years had a name, causes, symptoms and effects.' However, the diagnosis came with challenges as well. 'Just because you know what something is, doesn't mean you can immediately fix it. And that's what I felt - like I needed to fix myself.'\">\u003cfigcaption>Kate Jarvis says that her diagnosis of ADHD in her 30s felt revolutionary. “Something I had been wrestling with for 25 years had a name, causes, symptoms and effects.” However, the diagnosis came with challenges as well. “Just because you know what something is, doesn’t mean you can immediately fix it. And that’s what I felt – like I needed to fix myself.” \u003ccite> (Jarvis family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Researchers say Jarvis’ story is pretty common. For decades, ADHD, or attention deficit hyperactivity disorder, was considered a childhood disease that mostly affected boys – and boys were the focus of most research, says \u003ca href=\"https://www.dukehealth.org/find-doctors-physicians/julia-c-schechter-phd\" target=\"_blank\" rel=\"noopener\">Julia Schechter\u003c/a>, a clinical psychologist and co-director of the \u003ca href=\"https://psychiatry.duke.edu/duke-center-girls-women-adhd\" target=\"_blank\" rel=\"noopener\">Duke Center for Girls and Women with ADHD\u003c/a>. But ADHD often manifests differently in girls.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“They’re more likely to appear distracted, disorganized, kind of have their head in the clouds rather than show that overt, hyperactive or impulsive behavior that can disrupt a classroom,” Schechter says.\u003c/p>\n\u003cp>She says those symptoms in girls are easier to miss. That’s one reason why girls tend to get diagnosed years later than boys, often not until adulthood. Instead, women will spend years wondering what’s wrong with them, being treated for anxiety or depression without addressing the underlying cause.\u003c/p>\n\u003cp>“Sometimes those conditions are truly present,” Schechter says. “Other times they’re secondary to years of undiagnosed and untreated ADHD.”\u003c/p>\n\u003ch2>\u003cstrong>The heavy health cost of missed treatment\u003c/strong>\u003c/h2>\n\u003cp>There is a cost to those years of missed treatment. ADHD is a neurodevelopmental condition that influences many aspects of a person’s life and can bring challenges with social relationships, impulse control and low self-esteem.\u003c/p>\n\u003cp>“For women, \u003ca href=\"https://acamh.onlinelibrary.wiley.com/doi/10.1111/jcpp.13480\" target=\"_blank\" rel=\"noopener\">the risks are even more striking\u003c/a>,” Schechter says. “So compared to girls and women without ADHD, those with ADHD have more problems with friendships. They’re more likely to experience abuse by romantic partners, more likely to have a teen pregnancy compared to boys and men with ADHD.” They’re also more likely to have feelings of worthlessness and self-harm or attempt suicide.\u003c/p>\n\u003cp>And there are other health risks for women, including a higher incidence of obesity, eating disorders, type 2 diabetes and cardiovascular disease than their peers without the condition, says Dr. Patricia Quinn, a developmental pediatrician who has specialized in ADHD in women and girls for decades. She says several factors linked to ADHD can contribute to these risks. They include impulsivity, trouble sleeping, an inability to maintain healthy routines, the chronic stress of living with unmanaged symptoms and poor food choices driven by the need to seek dopamine.\u003c/p>\n\u003cp>Last year, a \u003ca href=\"https://www.npr.org/sections/shots-health-news/2025/01/23/nx-s1-5272801/adhd-research-shorter-life-expectancy-attention-deficit-hyperactivity-disorder\" target=\"_blank\" rel=\"noopener\">large study from the UK\u003c/a> found women with ADHD die on average nearly nine years earlier than their peers without the disorder – and two years earlier than men with ADHD. Yet many people don’t realize just how serious ADHD can be.\u003c/p>\n\u003cp>“It’s not just an excuse for ‘why I’m always late for work,'” Quinn says. “It’s a significant problem in their lives.”\u003c/p>\n\u003cp>In recent years, growing recognition of gender differences in ADHD has helped lead to a surge in diagnoses among adult women – nearly 7 million women in the U.S. had the diagnosis as of 2023, according to federal data analyzed by the nonprofit Children and Adults with Attention-Deficit/Hyperactivity Disorder, or CHADD\u003cstrong>. \u003c/strong>While boys are still diagnosed at roughly 2 to 3 times the rate of girls, those disparities \u003ca href=\"https://chadd.org/for-adults/women-and-girls/\" target=\"_blank\" rel=\"noopener\">even out\u003c/a> in adulthood.\u003c/p>\n\u003ch2>\u003cstrong>A breaking point in midlife\u003c/strong>\u003c/h2>\n\u003cp>Often, women can spend years masking their symptoms, says \u003ca href=\"https://www.drellenlittman.com/\" target=\"_blank\" rel=\"noopener\">Ellen Littman,\u003c/a> a clinical psychologist who specializes in women with ADHD. But when life gets more complex, their compensation systems can crumble.\u003c/p>\n\u003cp>“And it just reaches a critical mass point of, ‘I can’t manage all of this,'” Littman says.\u003c/p>\n\u003cp>For Amy Reyer, that breaking point came at age 48. She was caring for two teens and aging parents, and had a demanding job that had her constantly on call.\u003c/p>\n\u003cp>“I was holding it together, as I’d learned to do, but a lot was breaking down,” Reyer says.\u003c/p>\n\u003cp>Reyer says her whole life, she’d struggled with focus and anxiety. She felt like she always had to work three times as hard as her peers to get things done.\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/614x768+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2F28%2F1e%2F174cf3cd4f569e08c4715135ac8e%2F8297c9fd-04d0-463d-854f-30c03f535d17-1-105-c.jpeg\" alt=\"Amy Reyer in her sophomore year at Sidwell Friends School. 'I just assumed that everything I was going to do was going to be really, really difficult – and more difficult for me,' Reyer says. 'But I didn't know why at that time until I was diagnosed.'\">\u003cfigcaption>Amy Reyer in her sophomore year at Sidwell Friends School. “I just assumed that everything I was going to do was going to be really, really difficult – and more difficult for me,” Reyer says. “But I didn’t know why at that time until I was diagnosed.”\u003cbr>\n\u003ccite> (Reyer family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>“I spent most of my life trying to prove that I wasn’t defective,” she says.\u003c/p>\n\u003cp>“I just assumed that everything I was going to do was going to be really, really difficult – and more difficult for me. But I didn’t know why at that time until I was diagnosed.”\u003c/p>\n\u003cp>Still, she’d managed to earn a doctorate and had a successful career in media. Then perimenopause hit, and it all became too much. “I was pretty overwhelmed and I wasn’t sleeping,” Reyer says.\u003c/p>\n\u003cp>Emerging evidence suggests fluctuations in estrogen levels can exacerbate symptoms of ADHD, and perimenopause might be a particularly vulnerable time. Research suggests women with ADHD enter \u003ca href=\"https://www.additudemag.com/perimenopause-symptoms-adhd-women-research/\" target=\"_blank\" rel=\"noopener\">perimenopause years earlier than those without the disorder\u003c/a> and experience more \u003ca href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC12538516/\" target=\"_blank\" rel=\"noopener\">severe symptoms\u003c/a> during this menopausal transition.\u003c/p>\n\u003cp>One \u003ca href=\"https://www.h3-netwerk.nl/wp-content/uploads/2023/04/INS-Poster-Perimenopause-Menopause-and-ADHD-1-25-23final-Alleen-lezen.pdf\" target=\"_blank\" rel=\"noopener\">survey\u003c/a> of more than 3,000 women with ADHD found the vast majority had been diagnosed for the first time during the menopausal years. “The big, big shift was brain fog and executive functioning problems during the menopausal years,” says \u003ca href=\"https://jeanettewasserstein.com/\" target=\"_blank\" rel=\"noopener\">Jeanette Wasserstein\u003c/a>, a neuropsychologist who conducted the survey. She specializes in ADHD and is on the faculty at the Icahn School of Medicine at Mount Sinai.\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/768x1024+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2F49%2F60%2Fb95037704b3c91f37cc799f09098%2F9ab4afae-48c6-43e4-b888-de21fd54e9e7-1-105-c.jpeg\" alt=\"Amy Reyer started treatment for ADHD after being diagnosed in her late 40s.\">\u003cfigcaption>Amy Reyer started treatment for ADHD after being diagnosed in her late 40s. \u003ccite> (Reyer family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Reyer says she’d first suspected she had ADHD after her son was diagnosed, because the disorder is highly genetic. She says when she was diagnosed in her late 40s, it changed her life because it led to treatment. Once she found an ADHD medication that worked for her, it was like a lightbulb came on.\u003c/p>\n\u003cp>“I remember just saying to myself, ‘Oh my God, this must be what normal feels like,'” she says.\u003c/p>\n\u003ch2>\u003cstrong>Treatment beyond medication\u003c/strong>\u003c/h2>\n\u003cp>Medication is just one part of treatment. Dr. Patricia Quinn, who recently released a \u003ca href=\"https://www.routledge.com/A-Clinicians-Guide-to-ADHD-in-Women-Diagnosis-and-Treatment/Nadeau-Quinn-Morse/p/book/9781032883250\" target=\"_blank\" rel=\"noopener\">guide for clinicians to treat ADHD in women\u003c/a>, says for women in perimenopause, hormone replacement therapy can also be helpful. And because so many women have dealt with a lifetime of demoralization and shame, she says therapy – especially \u003ca href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC12434339/\" target=\"_blank\" rel=\"noopener\">cognitive behavioral therapy\u003c/a> – is also key, “because you need to rewrite all those scripts that are going on in your head.”\u003c/p>\n\u003cp>Psychologist Ellen Littman says in her practice, the focus is on helping women reframe their understanding of themselves “from ‘I’m a broken loser and I’m useless’ to helping them see themselves through the lens of this neurological information. And it changes their self-esteem and their ability to be effective in their lives and more confident as a parent and a partner.”\u003c/p>\n\u003cp>Lifestyle changes like exercise, meditation and a healthy diet can also help, says \u003ca href=\"https://drkathleennadeau.com/about-dr-nadeau/\" target=\"_blank\" rel=\"noopener\">Kathleen Nadeau\u003c/a>, a clinical psychologist in Maryland who’s been working with women and girls with ADHD for more than four decades. She says she encourages patients to find environments that play to their strengths – which can sometimes mean career changes.\u003c/p>\n\u003cp>“The metaphor I use is to plant yourself in the right garden, where the things that you’re good at can be nourished and expanded,” Nadeau says. “And the things that you struggle with are not what is emphasized in terms of what you’re supposed to do every day.”\u003c/p>\n\u003ch2>\u003cstrong>Learning to thrive \u003c/strong>\u003c/h2>\n\u003cp>Ruth Danoff says getting an ADHD diagnosis at age 50 led to a process of understanding her life – her inability to focus and do well in school as a child despite being told she was bright, the years of struggling with “big emotions” and feeling overwhelmed.\u003c/p>\n\u003cp>It also ultimately led to a new professional path. After spending her whole career in administrative support jobs where she says she was consistently “dinged for not paying enough attention to detail,” now, at age 65, she’s become an entrepreneur and advocate for other women with ADHD. She serves on the community advisory council at the Duke Center for Girls and Women with ADHD .\u003c/p>\n\u003cfigure class=\"wp-block-image size-large\">\u003cimg decoding=\"async\" src=\"https://npr.brightspotcdn.com/dims3/default/strip/false/crop/2316x3088+0+0/resize/1200/quality/75/format/jpeg/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2F65%2Fa5%2Fa39a898541728d5357d69ebf2443%2Fruth-danoff-02.jpeg\" alt=\"Ruth Danoff, here in Carolina Beach, N.C., was diagnosed with ADHD at 50 and says it changed her life. The diagnosis put into perspective her childhood and led to a career change.\">\u003cfigcaption>Ruth Danoff, here in Carolina Beach, N.C., was diagnosed with ADHD at 50 and says it changed her life. The diagnosis put into perspective her childhood and led to a career change. \u003ccite> (Danoff family)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>“My mission in life is that I don’t want any woman to go through what I went through,” Danoff says. “And if I can help just one woman, that’s the best feeling in the world.”\u003c/p>\n\u003cp>Kate Jarvis says seeking a diagnosis, no matter your age, is worth it. After feeling like she didn’t quite measure up for so long, getting diagnosed with ADHD as an adult led her to medication and therapy, and ultimately, self-acceptance.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“There is so much joy waiting on the other side,” she says. “There’s so much joy.”\u003c/p>\n\u003cdiv class=\"npr-transcript\">\n\u003cp>\u003cstrong>Transcript:\u003c/strong>\u003c/p>\n\u003cp>A MARTÍNEZ, HOST:\u003c/p>\n\u003cp>ADHD, Attention Deficit Hyperactivity Disorder, was once viewed as a childhood condition mostly affecting hyperactive boys. Many girls remain undiagnosed until adulthood. NPR’s Maria Godoy reports on the repercussions.\u003c/p>\n\u003cp>MARIA GODOY, BYLINE: School used to be pretty easy for Kate Jarvis when she was a little girl, back in the 1980s.\u003c/p>\n\u003cp>KATE JARVIS: I started out as a fantastic student. My mom used to refer to me as bright-eyed and bushy tailed.\u003c/p>\n\u003cp>GODOY: She got straight A’s, was creative and so organized, she’d even prep her toothbrush with toothpaste each night. Then puberty hit and everything started to fall apart. She found it harder to focus and her grades slipped.\u003c/p>\n\u003cp>JARVIS: It really hit my self-esteem badly. I felt pretty awful about myself.\u003c/p>\n\u003cp>GODOY: In high school, she was diagnosed with anxiety and depression. She struggled to fit in. She says it stung when teachers would write comments like, Kate has so much potential, if only she’d apply herself.\u003c/p>\n\u003cp>JARVIS: So it felt like character flaws, rather than what it really was, which is undiagnosed ADHD.\u003c/p>\n\u003cp>GODOY: Researchers say Jarvis’ story is pretty common. For decades, ADHD research was conducted mostly on boys, but ADHD often looks different in girls, says Julia Schechter, of the Duke Center for Girls and Women with ADHD.\u003c/p>\n\u003cp>JULIA SCHECHTER: They’re more likely to appear distracted, disorganized, kind of have their head in the clouds, rather than show that over hyperactive or impulsive behavior that can disrupt a classroom.\u003c/p>\n\u003cp>GODOY: She says those symptoms are easier to miss. That’s one reason why girls tend to get diagnosed years later than boys, often not until adulthood. Instead, women will spend years wondering what’s wrong with them, being treated for anxiety or depression without addressing the underlying cause.\u003c/p>\n\u003cp>SCHECHTER: Sometimes those conditions are truly present. Other times, they’re secondary to years of undiagnosed and untreated ADHD.\u003c/p>\n\u003cp>GODOY: There is a cost to those lost years. ADHD is a neurodevelopmental condition that can influence impulse control and low self-esteem.\u003c/p>\n\u003cp>SCHECHTER: And for women, the risks are even more striking. So compared to girls and women without ADHD, those with ADHD have more problems with friendships. They’re more likely to experience abuse by romantic partners, more likely to have a teen pregnancy.\u003c/p>\n\u003cp>GODOY: They’re also much more likely to self-harm. And there are other health risks, says Dr. Patricia Quinn. She’s a developmental pediatrician specializing in ADHD in women and girls.\u003c/p>\n\u003cp>PATRICIA QUINN: There is a higher incidence of many medical conditions in women with ADHD. And what we’re seeing is, for example, obesity, eating disorders, heart disease.\u003c/p>\n\u003cp>GODOY: A large study from the U.K. found women with ADHD die on average nearly nine years earlier than their peers without the disorder.\u003c/p>\n\u003cp>QUINN: It’s not just an excuse for why I’m always late for work. It’s a significant problem in their lives.\u003c/p>\n\u003cp>GODOY: In recent years, growing recognition of gender differences in ADHD has helped lead to a surge in diagnosis among adult women. Nearly 7 million women have the diagnosis as of 2023. Experts say women often spend years masking their symptoms. But when life gets more complex, their compensation systems can crumble. Amy Reyer says she’d struggled her whole life with focus.\u003c/p>\n\u003cp>AMY REYER: I just assumed that everything I was going to do was going to be really, really difficult and more difficult for me, but I didn’t know why at that time until I was diagnosed.\u003c/p>\n\u003cp>GODOY: Her breaking point came at age 48. She was caring for two teens and had a demanding job. When perimenopause hit, it all became too much.\u003c/p>\n\u003cp>REYER: So I was pretty overwhelmed and I wasn’t sleeping.\u003c/p>\n\u003cp>GODOY: In fact, research suggests estrogen fluctuations can exacerbate symptoms of ADHD in women, and perimenopause might be a particularly vulnerable time. Reyer says finally getting diagnosed was life-changing because it led to treatment. Once she found an ADHD medication that worked for her, it was like a light bulb came on.\u003c/p>\n\u003cp>REYER: Just saying to myself, oh, my God. This must be what normal feels like.\u003c/p>\n\u003cp>GODOY: Medication is just one part of treatment. Dr. Patricia Quinn says because so many women have dealt with a lifetime of demoralization and shame, cognitive behavioral therapy is also key.\u003c/p>\n\u003cp>QUINN: Because you need to rewrite all those scripts that are going on in your head.\u003c/p>\n\u003cp>GODOY: Kate Jarvis says, after feeling like she didn’t quite measure up for so long, getting diagnosed with ADHD in her late 30s led her to medication and therapy, and ultimately to self-acceptance.\u003c/p>\n\u003cp>JARVIS: There’s so much joy waiting on the other side. There is so much joy.\u003c/p>\n\u003cp>GODOY: Maria Godoy, NPR News.\u003c/p>\n\u003cp>(SOUNDBITE OF MUSIC)\u003c/p>\n\u003c/div>\n\n\u003c/div>\u003c/p>",
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"content": "\u003cp>The research behind the influential “science of reading” movement was built over decades through federally supported research spanning cognitive science, neuroscience, psychology, linguistics and classroom studies.\u003c/p>\n\n\n\n\u003cp>Education research organizations say a proposed 100-page sweeping overhaul of federal grant rules, which would add a new review by political appointees, could make it harder to produce similar important bodies of evidence in the future. \u003c/p>\n\n\n\n\u003cp>The federal Office of Management and Budget (OMB) says its proposed changes are intended to strengthen accountability, transparency and oversight of taxpayer-funded grants. The \u003ca href=\"https://www.regulations.gov/docket/OMB-2026-0034\">May 29 proposal\u003c/a> would revise the rules for issuing and overseeing grants, including those awarded by the Department of Education and the National Science Foundation, two major sources of federal education research funding. OMB wants the final rule to take effect by Oct. 1, according to the proposal.\u003c/p>\n\n\n\n\u003cp>But in letters submitted to OMB on July 13, the deadline for public comment, education research groups argued that some provisions could have unintended and harmful consequences by narrowing the questions researchers study, giving political considerations too much influence in funding decisions and disrupting research already underway. The education groups are asking not only for changes, but for the entire overhaul proposal to be withdrawn. \u003c/p>\n\n\n\n\u003cp>Objections specific to education research were detailed in three letters from the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/Nat-Acad-Ed-OMB-Comment-Education-and-Science-Associ.pdf\">National Academy of Education\u003c/a>, signed by 19 other education and science organizations; the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/AERA-response-on-OMB-federal-grantmaking-FINAL.pdf\">American Educational Research Association\u003c/a> (AERA); and the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/KA-Comments-on-OMB-Rule.pdf\">Knowledge Alliance\u003c/a>, a group representing about 20 organizations that conduct education research.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Could researchers study differences in student outcomes?\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>One of the most significant concerns raised by education researchers involves studies that examine whether educational outcomes differ among student groups.\u003c/p>\n\n\n\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>The proposed rule would prohibit federal funds from supporting research related to what the administration calls “unlawful diversity, equity and inclusion” activities and would restrict funding for what are known as “disparate impact studies.” These analyze whether policies that might appear neutral produce different results for different groups.\u003c/p>\n\n\n\n\u003cp>The National Academy of Education, in a \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/Nat-Acad-Ed-OMB-Comment-Education-and-Science-Associ.pdf\">letter\u003c/a> signed by 19 other education and science organizations, warned that the rule could ban studies examining racial or ethnic achievement gaps, and whether educational interventions help some students more than others.\u003c/p>\n\n\n\n\u003cp>“Whether a reading intervention works differently for English language learners, whether a discipline policy falls more heavily on students of color, whether a gifted education program under-identifies students with disabilities — these are not fringe questions,” the organization wrote. “They are central empirical questions of education policy research.”\u003c/p>\n\n\n\n\u003cp>Researchers also pointed to possible conflicts with existing education laws and programs that require demographic analysis. For example, the roughly $17 billion federal program for high-poverty schools known as Title I requires states and districts to examine student outcomes by race, disability status, income and English learner status in order to identify and support struggling groups of students.\u003c/p>\n\n\n\n\u003cp>The proposed rule does not explicitly prohibit all such analysis. But researchers argue that the language around diversity, equity and inclusion and “disparate impact” is broad and vague enough to create uncertainty and discourage researchers from proposing important studies.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Who decides what counts as valuable research?\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Education researchers also object to proposed changes that would increase political involvement in grant decisions.\u003c/p>\n\n\n\n\u003cp>The proposal would require agencies to consider alignment with federal priorities, which could change from administration to administration, and the “national interest,” which is undefined. It also states that political appointees are to review all grants before they are issued. Research organizations argue that this requirement could reduce the role of independent scientific review, when subject experts evaluate proposals based on quality, rigor and feasibility.\u003c/p>\n\n\n\n\u003cp>Researchers also worry that the Trump administration’s push for “gold standard science” in the proposal is undefined and could favor some methods over others. Education research is not as straightforward as testing the effectiveness of a new drug and often uses a variety of approaches — including surveys, interviews and sophisticated data analysis that attempt to replicate an experiment without randomly assigning students to a program or a style of instruction. \u003c/p>\n\n\n\n\u003cp>Among other changes, the OMB proposal calls upon agencies to give preference to grant proposals with low overhead costs, which disadvantages large research universities. It would also cut federal funding for attending conferences and publication costs, unless specifically approved. Researchers would be required to provide written justification for each request to receive grant funds, adding to their regulatory paperwork. Education research organizations objected to all of these proposals. \u003c/p>\n\n\n\n\u003cp>The White House proposal emphasizes supporting research that can yield immediate results or breakthrough innovations. In response, the Knowledge Alliance pointed to the science of reading as an example of why real progress requires patience.\u003c/p>\n\n\n\n\u003cp>“Researchers would be less likely to pursue important long-term questions that are critical to creating the foundational knowledge needed for scientific breakthroughs,” \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/KA-Comments-on-OMB-Rule.pdf\">wrote Rachel Dinkes\u003c/a>, president of the Knowledge Alliance. The science of reading “reflects the accumulation of evidence over many years and across multiple administrations, which has been pivotal to improving student outcomes in reading.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What happens when research is interrupted?\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Education research groups also raised concerns about the consequences of suspending or terminating grants after studies have begun.\u003c/p>\n\n\n\n\u003cp>The National Academy of Education warned that interruptions could be especially damaging for longitudinal studies, which depend on consistent data collection over time. Losing a year of data collection, the group argued, could permanently damage a study’s value.\u003c/p>\n\n\n\n\u003cp>Researchers also pointed to effects beyond universities. Federal research grants often fund partnerships between researchers and schools, provide professional learning or pay for interventions for students. The consequences of abrupt terminations are fresh in education researchers’ minds. When the Department of Education terminated dozens of research studies in 2025, for example, \u003ca href=\"https://www.npr.org/2025/04/14/nx-s1-5345870/trump-doge-students-disabilities\">1,600 high schoolers with disabilities\u003c/a> lost services. \u003c/p>\n\n\n\n\u003cp>Restrictions on international research partnerships were another concern. Researchers argued that broad limits on foreign collaborations could affect U.S. participation in international assessments such as PISA and TIMSS, which help policymakers compare U.S. student performance with that of other countries.\u003c/p>\n\n\n\n\u003cp>The Trump administration’s proposal to overhaul how the federal government awards and oversees grants is drawing fierce opposition from scientific societies and research organizations across many fields, from medicine to climate science. These comments from the education research community are just three among \u003ca href=\"https://www.regulations.gov/docket/OMB-2026-0034\">496,775\u003c/a> that have been submitted. A \u003ca href=\"https://www.medpagetoday.com/washington-watch/washington-watch/122175\">July 14 article in MedPage Today\u003c/a> explained that research organizations intentionally flooded the OMB with comments to respond to, hoping to either slow the rule-making process or create an administrative record that could be used in future lawsuits to challenge the rule. \u003c/p>\n\n\n\n\u003cp>OMB did not respond to questions about the objections raised by education researchers.\u003c/p>\n\n\n\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-education-omb-comments/\">\u003cem>education researchers’ objections to a proposed overhaul of federal grants\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n",
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"innerHTML": "\n\u003cp>But in letters submitted to OMB on July 13, the deadline for public comment, education research groups argued that some provisions could have unintended and harmful consequences by narrowing the questions researchers study, giving political considerations too much influence in funding decisions and disrupting research already underway. The education groups are asking not only for changes, but for the entire overhaul proposal to be withdrawn. \u003c/p>\n",
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"innerHTML": "\n\u003cp>Objections specific to education research were detailed in three letters from the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/Nat-Acad-Ed-OMB-Comment-Education-and-Science-Associ.pdf\">National Academy of Education\u003c/a>, signed by 19 other education and science organizations; the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/AERA-response-on-OMB-federal-grantmaking-FINAL.pdf\">American Educational Research Association\u003c/a> (AERA); and the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/KA-Comments-on-OMB-Rule.pdf\">Knowledge Alliance\u003c/a>, a group representing about 20 organizations that conduct education research.\u003c/p>\n",
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"innerHTML": "\n\u003cp>The proposed rule would prohibit federal funds from supporting research related to what the administration calls “unlawful diversity, equity and inclusion” activities and would restrict funding for what are known as “disparate impact studies.” These analyze whether policies that might appear neutral produce different results for different groups.\u003c/p>\n",
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"innerHTML": "\n\u003cp>The National Academy of Education, in a \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/Nat-Acad-Ed-OMB-Comment-Education-and-Science-Associ.pdf\">letter\u003c/a> signed by 19 other education and science organizations, warned that the rule could ban studies examining racial or ethnic achievement gaps, and whether educational interventions help some students more than others.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“Whether a reading intervention works differently for English language learners, whether a discipline policy falls more heavily on students of color, whether a gifted education program under-identifies students with disabilities — these are not fringe questions,” the organization wrote. “They are central empirical questions of education policy research.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>Researchers also pointed to possible conflicts with existing education laws and programs that require demographic analysis. For example, the roughly $17 billion federal program for high-poverty schools known as Title I requires states and districts to examine student outcomes by race, disability status, income and English learner status in order to identify and support struggling groups of students.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Researchers also worry that the Trump administration’s push for “gold standard science” in the proposal is undefined and could favor some methods over others. Education research is not as straightforward as testing the effectiveness of a new drug and often uses a variety of approaches — including surveys, interviews and sophisticated data analysis that attempt to replicate an experiment without randomly assigning students to a program or a style of instruction. \u003c/p>\n",
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"innerHTML": "\n\u003cp>Among other changes, the OMB proposal calls upon agencies to give preference to grant proposals with low overhead costs, which disadvantages large research universities. It would also cut federal funding for attending conferences and publication costs, unless specifically approved. Researchers would be required to provide written justification for each request to receive grant funds, adding to their regulatory paperwork. Education research organizations objected to all of these proposals. \u003c/p>\n",
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"\n\u003cp>Among other changes, the OMB proposal calls upon agencies to give preference to grant proposals with low overhead costs, which disadvantages large research universities. It would also cut federal funding for attending conferences and publication costs, unless specifically approved. Researchers would be required to provide written justification for each request to receive grant funds, adding to their regulatory paperwork. Education research organizations objected to all of these proposals. \u003c/p>\n"
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"innerHTML": "\n\u003cp>The White House proposal emphasizes supporting research that can yield immediate results or breakthrough innovations. In response, the Knowledge Alliance pointed to the science of reading as an example of why real progress requires patience.\u003c/p>\n",
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"innerHTML": "\n\u003cp>“Researchers would be less likely to pursue important long-term questions that are critical to creating the foundational knowledge needed for scientific breakthroughs,” \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/KA-Comments-on-OMB-Rule.pdf\">wrote Rachel Dinkes\u003c/a>, president of the Knowledge Alliance. The science of reading “reflects the accumulation of evidence over many years and across multiple administrations, which has been pivotal to improving student outcomes in reading.”\u003c/p>\n",
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"innerHTML": "\n\u003cp>Education research groups also raised concerns about the consequences of suspending or terminating grants after studies have begun.\u003c/p>\n",
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"innerHTML": "\n\u003cp>The National Academy of Education warned that interruptions could be especially damaging for longitudinal studies, which depend on consistent data collection over time. Losing a year of data collection, the group argued, could permanently damage a study’s value.\u003c/p>\n",
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"innerHTML": "\n\u003cp>Researchers also pointed to effects beyond universities. Federal research grants often fund partnerships between researchers and schools, provide professional learning or pay for interventions for students. The consequences of abrupt terminations are fresh in education researchers’ minds. When the Department of Education terminated dozens of research studies in 2025, for example, \u003ca href=\"https://www.npr.org/2025/04/14/nx-s1-5345870/trump-doge-students-disabilities\">1,600 high schoolers with disabilities\u003c/a> lost services. \u003c/p>\n",
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"innerHTML": "\n\u003cp>Restrictions on international research partnerships were another concern. Researchers argued that broad limits on foreign collaborations could affect U.S. participation in international assessments such as PISA and TIMSS, which help policymakers compare U.S. student performance with that of other countries.\u003c/p>\n",
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"innerHTML": "\n\u003cp>The Trump administration’s proposal to overhaul how the federal government awards and oversees grants is drawing fierce opposition from scientific societies and research organizations across many fields, from medicine to climate science. These comments from the education research community are just three among \u003ca href=\"https://www.regulations.gov/docket/OMB-2026-0034\">496,775\u003c/a> that have been submitted. A \u003ca href=\"https://www.medpagetoday.com/washington-watch/washington-watch/122175\">July 14 article in MedPage Today\u003c/a> explained that research organizations intentionally flooded the OMB with comments to respond to, hoping to either slow the rule-making process or create an administrative record that could be used in future lawsuits to challenge the rule. \u003c/p>\n",
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"innerHTML": "\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-education-omb-comments/\">\u003cem>education researchers’ objections to a proposed overhaul of federal grants\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n",
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"\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-education-omb-comments/\">\u003cem>education researchers’ objections to a proposed overhaul of federal grants\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n"
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"excerpt": "Critics say the White House proposal could curtail studies of achievement gaps and long-term research.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>The research behind the influential “science of reading” movement was built over decades through federally supported research spanning cognitive science, neuroscience, psychology, linguistics and classroom studies.\u003c/p>\n\n\n\n\u003cp>Education research organizations say a proposed 100-page sweeping overhaul of federal grant rules, which would add a new review by political appointees, could make it harder to produce similar important bodies of evidence in the future. \u003c/p>\n\n\n\n\u003cp>The federal Office of Management and Budget (OMB) says its proposed changes are intended to strengthen accountability, transparency and oversight of taxpayer-funded grants. The \u003ca href=\"https://www.regulations.gov/docket/OMB-2026-0034\">May 29 proposal\u003c/a> would revise the rules for issuing and overseeing grants, including those awarded by the Department of Education and the National Science Foundation, two major sources of federal education research funding. OMB wants the final rule to take effect by Oct. 1, according to the proposal.\u003c/p>\n\n\n\n\u003cp>But in letters submitted to OMB on July 13, the deadline for public comment, education research groups argued that some provisions could have unintended and harmful consequences by narrowing the questions researchers study, giving political considerations too much influence in funding decisions and disrupting research already underway. The education groups are asking not only for changes, but for the entire overhaul proposal to be withdrawn. \u003c/p>\n\n\n\n\u003cp>Objections specific to education research were detailed in three letters from the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/Nat-Acad-Ed-OMB-Comment-Education-and-Science-Associ.pdf\">National Academy of Education\u003c/a>, signed by 19 other education and science organizations; the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/AERA-response-on-OMB-federal-grantmaking-FINAL.pdf\">American Educational Research Association\u003c/a> (AERA); and the \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/KA-Comments-on-OMB-Rule.pdf\">Knowledge Alliance\u003c/a>, a group representing about 20 organizations that conduct education research.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Could researchers study differences in student outcomes?\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>One of the most significant concerns raised by education researchers involves studies that examine whether educational outcomes differ among student groups.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>The proposed rule would prohibit federal funds from supporting research related to what the administration calls “unlawful diversity, equity and inclusion” activities and would restrict funding for what are known as “disparate impact studies.” These analyze whether policies that might appear neutral produce different results for different groups.\u003c/p>\n\n\n\n\u003cp>The National Academy of Education, in a \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/Nat-Acad-Ed-OMB-Comment-Education-and-Science-Associ.pdf\">letter\u003c/a> signed by 19 other education and science organizations, warned that the rule could ban studies examining racial or ethnic achievement gaps, and whether educational interventions help some students more than others.\u003c/p>\n\n\n\n\u003cp>“Whether a reading intervention works differently for English language learners, whether a discipline policy falls more heavily on students of color, whether a gifted education program under-identifies students with disabilities — these are not fringe questions,” the organization wrote. “They are central empirical questions of education policy research.”\u003c/p>\n\n\n\n\u003cp>Researchers also pointed to possible conflicts with existing education laws and programs that require demographic analysis. For example, the roughly $17 billion federal program for high-poverty schools known as Title I requires states and districts to examine student outcomes by race, disability status, income and English learner status in order to identify and support struggling groups of students.\u003c/p>\n\n\n\n\u003cp>The proposed rule does not explicitly prohibit all such analysis. But researchers argue that the language around diversity, equity and inclusion and “disparate impact” is broad and vague enough to create uncertainty and discourage researchers from proposing important studies.\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>Who decides what counts as valuable research?\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Education researchers also object to proposed changes that would increase political involvement in grant decisions.\u003c/p>\n\n\n\n\u003cp>The proposal would require agencies to consider alignment with federal priorities, which could change from administration to administration, and the “national interest,” which is undefined. It also states that political appointees are to review all grants before they are issued. Research organizations argue that this requirement could reduce the role of independent scientific review, when subject experts evaluate proposals based on quality, rigor and feasibility.\u003c/p>\n\n\n\n\u003cp>Researchers also worry that the Trump administration’s push for “gold standard science” in the proposal is undefined and could favor some methods over others. Education research is not as straightforward as testing the effectiveness of a new drug and often uses a variety of approaches — including surveys, interviews and sophisticated data analysis that attempt to replicate an experiment without randomly assigning students to a program or a style of instruction. \u003c/p>\n\n\n\n\u003cp>Among other changes, the OMB proposal calls upon agencies to give preference to grant proposals with low overhead costs, which disadvantages large research universities. It would also cut federal funding for attending conferences and publication costs, unless specifically approved. Researchers would be required to provide written justification for each request to receive grant funds, adding to their regulatory paperwork. Education research organizations objected to all of these proposals. \u003c/p>\n\n\n\n\u003cp>The White House proposal emphasizes supporting research that can yield immediate results or breakthrough innovations. In response, the Knowledge Alliance pointed to the science of reading as an example of why real progress requires patience.\u003c/p>\n\n\n\n\u003cp>“Researchers would be less likely to pursue important long-term questions that are critical to creating the foundational knowledge needed for scientific breakthroughs,” \u003ca href=\"https://hechingerreport.org/wp-content/uploads/2026/07/KA-Comments-on-OMB-Rule.pdf\">wrote Rachel Dinkes\u003c/a>, president of the Knowledge Alliance. The science of reading “reflects the accumulation of evidence over many years and across multiple administrations, which has been pivotal to improving student outcomes in reading.”\u003c/p>\n\n\n\n\u003ch2 class=\"wp-block-heading\">\u003cstrong>What happens when research is interrupted?\u003c/strong>\u003c/h2>\n\n\n\n\u003cp>Education research groups also raised concerns about the consequences of suspending or terminating grants after studies have begun.\u003c/p>\n\n\n\n\u003cp>The National Academy of Education warned that interruptions could be especially damaging for longitudinal studies, which depend on consistent data collection over time. Losing a year of data collection, the group argued, could permanently damage a study’s value.\u003c/p>\n\n\n\n\u003cp>Researchers also pointed to effects beyond universities. Federal research grants often fund partnerships between researchers and schools, provide professional learning or pay for interventions for students. The consequences of abrupt terminations are fresh in education researchers’ minds. When the Department of Education terminated dozens of research studies in 2025, for example, \u003ca href=\"https://www.npr.org/2025/04/14/nx-s1-5345870/trump-doge-students-disabilities\">1,600 high schoolers with disabilities\u003c/a> lost services. \u003c/p>\n\n\n\n\u003cp>Restrictions on international research partnerships were another concern. Researchers argued that broad limits on foreign collaborations could affect U.S. participation in international assessments such as PISA and TIMSS, which help policymakers compare U.S. student performance with that of other countries.\u003c/p>\n\n\n\n\u003cp>The Trump administration’s proposal to overhaul how the federal government awards and oversees grants is drawing fierce opposition from scientific societies and research organizations across many fields, from medicine to climate science. These comments from the education research community are just three among \u003ca href=\"https://www.regulations.gov/docket/OMB-2026-0034\">496,775\u003c/a> that have been submitted. A \u003ca href=\"https://www.medpagetoday.com/washington-watch/washington-watch/122175\">July 14 article in MedPage Today\u003c/a> explained that research organizations intentionally flooded the OMB with comments to respond to, hoping to either slow the rule-making process or create an administrative record that could be used in future lawsuits to challenge the rule. \u003c/p>\n\n\n\n\u003cp>OMB did not respond to questions about the objections raised by education researchers.\u003c/p>\n\n\n\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cp>Artificial intelligence is often promoted as a way to make teachers more effective by helping them write lesson plans, generate classroom materials and provide feedback to students in seconds. But one of the first randomized trials testing AI in real classrooms found that it can also undermine learning. Students whose teachers were given access to an AI teaching assistant felt less motivated to learn.\u003c/p>\n\u003cp>The damage was especially pronounced among students whose teachers were already weaker instructors, as measured by their performance before the experiment began. Their students also scored lower on standardized final exams, the researchers found.\u003c/p>\n\u003cp>“Teachers, just like students or coders, might be using AI as a crutch,” said Alp Sungu, lead author of the study and an assistant professor at the Wharton School at the University of Pennsylvania. “Instead of doing the actual work, they’re using AI to delegate the task, and that lowers the quality of their teaching.”\u003c/p>\n\u003cp>A draft of the study, “\u003ca href=\"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7007339\">Generative AI Can Harm Teaching\u003c/a>,” was released online in June and has not yet been published in a peer-reviewed journal. It echoes Sungu’s widely discussed 2024 research on how \u003ca href=\"https://hechingerreport.org/kids-chatgpt-worse-on-tests/\">students’ use of AI is harming learning\u003c/a>.\u003c/p>\n\u003cp>“Students use AI as an answer machine, not as a tool for learning, and therefore it harms learning,” said Sungu. “Here, I think teachers are potentially using AI as a material generating machine for homework, lecture notes, lesson plans, syllabus. Instead of improving their own output, they’re using AI as a replacement with very minimal interaction, and therefore the quality of output is not good enough.”\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Sungu’s experiment, conducted with fellow University of Pennsylvania researchers, including educational psychologist Angela Duckworth, followed 193 teachers and more than 2,800 middle and high school students in a private school chain in Turkey during the spring of 2025.\u003c/p>\n\u003cp>Teachers were randomly assigned either to receive access to a ChatGPT-based teaching assistant customized to Turkey’s national curriculum or to continue teaching as usual. Over 10 weeks, teachers primarily used the tool to generate lecture notes, assignments and exams.\u003c/p>\n\u003cp>Students whose teachers had access to the AI tool rated their classes as less enjoyable, less interesting and less important than students in the control group. The decline in intrinsic motivation was modest, but larger among students of those teachers who had already been heavier AI users before the experiment began.\u003c/p>\n\u003cp>Average academic achievement did not change overall. But among teachers whose students had lower marks before the experiment — a proxy for lower-performing teachers — student achievement and confidence both declined. Academic achievement was measured through externally administered standardized exams, ruling out the possibility that these teachers had different grading standards.\u003c/p>\n\u003cp>The study cannot explain exactly why teaching quality deteriorated. Researchers did not observe classrooms or analyze the AI-generated materials teachers used. But Sungu suspects that teachers may have been giving up one of their most effective tools.\u003c/p>\n\u003cp>“When you start using AI-generated material, you’re losing your personal voice,” said Sungu. “It might be technically good enough, but it doesn’t really carry your own style. If everything is very uniform, it just becomes a bit more boring.”\u003c/p>\n\u003cp>One possible explanation for the weaker academic performance among students of low-performing teachers, Sungu said, is that stronger teachers treat AI output as a first draft, revising and adapting it to their classrooms. Weaker teachers, he suspects, may be more likely to use AI-generated material as is.\u003c/p>\n\u003cp>This study is not a clean comparison between teaching with and without AI. Teachers in the control group were free to use other AI tools, making this a comparison between access to a customized AI assistant and whatever teachers chose to do on their own. If anything, Sungu said, these findings might be understating the risks of teachers relying heavily on AI-generated materials.\u003c/p>\n\u003cp>Still, Sungu cautions that it would be a mistake to conclude that “AI is terrible and will ruin education.” He sees a different lesson: Access to AI technology alone does not improve teaching.\u003c/p>\n\u003cp>The challenge is to help teachers use AI in ways that preserve human judgment and creativity. That will require teacher training programs, guardrails and better interfaces.\u003c/p>\n\u003cp>“As of right now, how teachers are using it organically, there is something to be worried about,” he said.\u003c/p>\n\u003cp>Sungu says he personally uses AI in his university teaching to create interactive games and polls that would otherwise take too long to build. “When I first get the output, it just looks great,” he said. “And then, if I don’t immerse myself in it, the examples, the numbers don’t make sense. I end up spending an equal amount of time to improve the output or calibrate it to my class.”\u003c/p>\n\u003cp>“It’s not a time saver,” he said.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-ai-in-teaching/\">\u003cem>AI in teaching\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n",
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"title": "Less Interesting, Less Enjoyable: Why AI-Assisted Classes Feel Less Important | KQED",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>Artificial intelligence is often promoted as a way to make teachers more effective by helping them write lesson plans, generate classroom materials and provide feedback to students in seconds. But one of the first randomized trials testing AI in real classrooms found that it can also undermine learning. Students whose teachers were given access to an AI teaching assistant felt less motivated to learn.\u003c/p>\n\u003cp>The damage was especially pronounced among students whose teachers were already weaker instructors, as measured by their performance before the experiment began. Their students also scored lower on standardized final exams, the researchers found.\u003c/p>\n\u003cp>“Teachers, just like students or coders, might be using AI as a crutch,” said Alp Sungu, lead author of the study and an assistant professor at the Wharton School at the University of Pennsylvania. “Instead of doing the actual work, they’re using AI to delegate the task, and that lowers the quality of their teaching.”\u003c/p>\n\u003cp>A draft of the study, “\u003ca href=\"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7007339\">Generative AI Can Harm Teaching\u003c/a>,” was released online in June and has not yet been published in a peer-reviewed journal. It echoes Sungu’s widely discussed 2024 research on how \u003ca href=\"https://hechingerreport.org/kids-chatgpt-worse-on-tests/\">students’ use of AI is harming learning\u003c/a>.\u003c/p>\n\u003cp>“Students use AI as an answer machine, not as a tool for learning, and therefore it harms learning,” said Sungu. “Here, I think teachers are potentially using AI as a material generating machine for homework, lecture notes, lesson plans, syllabus. Instead of improving their own output, they’re using AI as a replacement with very minimal interaction, and therefore the quality of output is not good enough.”\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Sungu’s experiment, conducted with fellow University of Pennsylvania researchers, including educational psychologist Angela Duckworth, followed 193 teachers and more than 2,800 middle and high school students in a private school chain in Turkey during the spring of 2025.\u003c/p>\n\u003cp>Teachers were randomly assigned either to receive access to a ChatGPT-based teaching assistant customized to Turkey’s national curriculum or to continue teaching as usual. Over 10 weeks, teachers primarily used the tool to generate lecture notes, assignments and exams.\u003c/p>\n\u003cp>Students whose teachers had access to the AI tool rated their classes as less enjoyable, less interesting and less important than students in the control group. The decline in intrinsic motivation was modest, but larger among students of those teachers who had already been heavier AI users before the experiment began.\u003c/p>\n\u003cp>Average academic achievement did not change overall. But among teachers whose students had lower marks before the experiment — a proxy for lower-performing teachers — student achievement and confidence both declined. Academic achievement was measured through externally administered standardized exams, ruling out the possibility that these teachers had different grading standards.\u003c/p>\n\u003cp>The study cannot explain exactly why teaching quality deteriorated. Researchers did not observe classrooms or analyze the AI-generated materials teachers used. But Sungu suspects that teachers may have been giving up one of their most effective tools.\u003c/p>\n\u003cp>“When you start using AI-generated material, you’re losing your personal voice,” said Sungu. “It might be technically good enough, but it doesn’t really carry your own style. If everything is very uniform, it just becomes a bit more boring.”\u003c/p>\n\u003cp>One possible explanation for the weaker academic performance among students of low-performing teachers, Sungu said, is that stronger teachers treat AI output as a first draft, revising and adapting it to their classrooms. Weaker teachers, he suspects, may be more likely to use AI-generated material as is.\u003c/p>\n\u003cp>This study is not a clean comparison between teaching with and without AI. Teachers in the control group were free to use other AI tools, making this a comparison between access to a customized AI assistant and whatever teachers chose to do on their own. If anything, Sungu said, these findings might be understating the risks of teachers relying heavily on AI-generated materials.\u003c/p>\n\u003cp>Still, Sungu cautions that it would be a mistake to conclude that “AI is terrible and will ruin education.” He sees a different lesson: Access to AI technology alone does not improve teaching.\u003c/p>\n\u003cp>The challenge is to help teachers use AI in ways that preserve human judgment and creativity. That will require teacher training programs, guardrails and better interfaces.\u003c/p>\n\u003cp>“As of right now, how teachers are using it organically, there is something to be worried about,” he said.\u003c/p>\n\u003cp>Sungu says he personally uses AI in his university teaching to create interactive games and polls that would otherwise take too long to build. “When I first get the output, it just looks great,” he said. “And then, if I don’t immerse myself in it, the examples, the numbers don’t make sense. I end up spending an equal amount of time to improve the output or calibrate it to my class.”\u003c/p>\n\u003cp>“It’s not a time saver,” he said.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This story about \u003c/em>\u003ca href=\"https://hechingerreport.org/proof-points-ai-in-teaching/\">\u003cem>AI in teaching\u003c/em>\u003c/a>\u003cem> was produced by \u003c/em>\u003ca href=\"https://hechingerreport.org/special-reports/higher-education/\">The Hechinger Report\u003c/a>\u003cem>, a nonprofit, independent news organization that covers education. Sign up for \u003c/em>\u003ca href=\"https://hechingerreport.org/proofpoints/\">\u003cem>Proof Points\u003c/em>\u003c/a>\u003cem> and other \u003c/em>\u003ca href=\"https://hechingerreport.org/newsletters/\">\u003cem>Hechinger newsletters\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>",
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"content": "\u003cp>\u003cem>This story about \u003ca href=\"https://url.us.m.mimecastprotect.com/s/UYcjCxklQwfPWYpKI8fLfy3nUU?domain=hechingerreport.org\">screen time\u003c/a> was produced by The Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for the \u003c/em>\u003ca href=\"https://hechingerreport.org/earlychildhood/\">\u003cem>Hechinger newsletter\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\u003cp>When Jodi Carreon’s son returned to school full time after the pandemic, she expected teachers would roll back the use of the laptops they had relied on while students were home. But soon after her son started second grade, Carreon realized he was still using a Chromebook throughout the day.\u003c/p>\n\u003cp>Then the teacher sent a note home: Her son was playing Minecraft and watching YouTube instead of doing his work. Could Carreon urge him to focus?\u003c/p>\n\u003cp>“In my mind, I was like, ‘What do you expect? He’s 7 years old. Of course he’s going to want to play games,’” said Carreon, whose experience prompted her to later create the California-based advocacy group San Marcos Unified School District Parents for Intentional Tech.\u003c/p>\n\u003cp>“Adults have a hard time and struggle to pay attention on devices. It’s unrealistic to expect a child to do so,” she said.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>For years, districts have promoted one-to-one devices as a way to boost learning, provide tailored lessons for differing academic needs and offer enrichment.\u003c/p>\n\u003cp>But parents and teachers say even the youngest students are finding ways past any blocks adults try to put on school devices to play games, watch videos and message friends on school-issued devices.\u003c/p>\n\u003cp>Interviews with more than 45 parents, educators and experts across the country, as well as recent surveys with parents and educators, describe the many ways elementary students are using devices in class: watching YouTube videos of \u003ca href=\"https://drive.google.com/file/d/1bpUt2jebkLeBUJbe76JizxhOc5OdGqUH/view\">soccer matches\u003c/a> or playing games featuring \u003ca href=\"https://www.abc4.com/news/local-news/student-plays-five-nights-at-epsteins-game-at-school/\">Jeffrey Epstein\u003c/a> or a \u003ca href=\"https://www.independent.com/2026/04/01/santa-barbara-students-exposed-to-trauma-on-school-tablets/\">“corpse-like grandmother”\u003c/a> who chases players with a bloody baseball bat. Third graders have used Google Docs to compile inappropriate memes and images and message each other throughout the school day, and a second grader searched for a \u003ca href=\"https://www.cbsnews.com/baltimore/news/roye-williams-elementary-child-searches-explicit-content-school-internet-policies/?fbclid=IwY2xjawRhxu9leHRuA2FlbQIxMQBicmlkETE1eUNXa3BWSkVCM1lXQXY2c3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHqeYUVWnHob5-G53rxdPiQpPnOLAZPe4LPnLU3RojNIpJiAIBqBy-aNzneWO_aem_yJyP4e4uuU307XNOdKJGww\">sexually explicit term\u003c/a> and was shown a Wikipedia page — with pictures.\u003c/p>\n\u003cfigure id=\"attachment_66433\" class=\"wp-caption alignnone\" style=\"max-width: 890px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-66433\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2.jpg\" alt=\"Screen grab of an online game\" width=\"890\" height=\"617\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2.jpg 890w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2-160x111.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2-768x532.jpg 768w\" sizes=\"auto, (max-width: 890px) 100vw, 890px\">\u003cfigcaption class=\"wp-caption-text\">Parents across the country have reported their students playing a game called “Five Nights At Epstein Island” online, in which players try to survive several nights on Jeffrey Epstein’s island.\u003c/figcaption>\u003c/figure>\n\u003cp>All of this occurred in districts that had filters, safeguards and systems in place meant to block such content.\u003c/p>\n\u003cp>\u003cstrong>Related: Young children have unique needs and providing the right care can be a challenge. Our free \u003c/strong>\u003ca href=\"https://hechingerreport.org/earlychildhood/\">\u003cstrong>early childhood education newsletter\u003c/strong>\u003c/a>\u003cstrong> tracks the issues\u003c/strong>.\u003c/p>\n\u003cp>Bryn Prusky, a second grader in Pennsylvania’s Lower Merion Township, said her friends “just drift off into a video game and start doing something else that they’re not supposed to be doing” instead of classwork. It isn’t hard to find the games — they’re usually “just there,” she said, already downloaded on the computers.\u003c/p>\n\u003cp>Some parents and teachers are now asking if the benefits of classroom tech are worth the costs in distraction and energy spent policing its use.\u003c/p>\n\u003cp>“The problem is in the way the machine works. As soon as you give me unfettered access to programs and the internet, … I’m going to go right down that path, and learning goes away,” said Jared Cooney Horvath, a neuroscientist and author of “The Digital Delusion,” which argues that educational technology harms learning. “It doesn’t matter the size of the screen or the fact that the school bought it and stamped ‘educational’ on it.”\u003c/p>\n\u003cp>In the New York City borough of Brooklyn, fourth grade teacher Martina Meijer only gives her students Chromebook time during small group reading rotations. But within minutes of sitting down with a computer, some of her students are navigating to video sites. Some wear headphones to listen to audiobooks, which also blocks Meijer from knowing exactly what they’re doing when she’s working with another group.\u003c/p>\n\u003cp>“I always try to monitor what they’re looking at,” Meijer said, “but my eyes can’t be everywhere.”\u003c/p>\n\u003cp>Kids have been off task and distracted in school long before Chromebooks or iPads existed. But some parents and experts say devices only make it easier to engage in non-academic, inappropriate and even dangerous content.\u003c/p>\n\u003cp>This is especially challenging for young children whose brains, self-regulation skills and self-control are still developing.\u003c/p>\n\u003cp>“Let’s say you hand a child a pen and you’re like, ‘This pen can write, it can turn into a magic wand, it can turn into a knife, it can fly, it can change colors. But only use it as a pen, OK?” said Deanie Eichenstein, a California-based clinical psychologist who is one of the leaders of the advocacy group Schools Beyond Screens. “It’s silly.”\u003c/p>\n\u003cp>John Bellis, the parent of a preschooler and a third grader in Lower Merion Township, said his son got in trouble earlier this year after he successfully guessed a classmate’s password, logged into one of the student’s online accounts and changed the profile picture to a poop emoji.\u003c/p>\n\u003cp>“It’s not like they’re doing crime, but they’re goofing around and they’re not learning,” Bellis said.\u003c/p>\n\u003cp>Many teachers say devices have added challenges to their classrooms. Fifty-six percent of more than 1,200 educators surveyed \u003ca href=\"https://www.edweek.org/technology/chromebooks-or-cellphones-which-are-the-bigger-classroom-distraction/2025/05\">by Education Week\u003c/a> last year reported that off-task behavior on computers is a “major source of distraction that cuts into students’ learning time.” Teachers said computers and tablets are more distracting than cellphones, which more than 20 states have banned in schools. And 70 percent of \u003ca href=\"https://www.nytimes.com/2025/11/12/upshot/teachers-survey-chromebooks-class.html\">350\u003c/a>\u003ca href=\"https://www.nytimes.com/2025/11/12/upshot/teachers-survey-chromebooks-class.html\"> educators\u003c/a> surveyed by The New York Times last year said school-issued devices distract from learning and engagement in class.\u003c/p>\n\u003cp>One North Carolina district found in an audit of student screen use, screen time spent on distraction added up to \u003ca href=\"https://archive.is/WK6bF\">31 lost instructional days\u003c/a> each year, according to The Wall Street Journal.\u003c/p>\n\u003cp>Teaching in an era of devices has been frustrating, said Meijer. “It’s reducing the children’s stamina, the children’s attention span and creating this dopamine hit need.”\u003c/p>\n\u003cp>\u003cstrong>Related: \u003c/strong>\u003ca href=\"https://hechingerreport.org/ipads-in-kindergarten-youtube-videos-at-snack-time-parents-are-pushing-back-on-screen-time-in-the-early-grades/\">\u003cstrong>IPads in kindergarten, YouTube videos at snack time: Parents are pushing back on screens in the early grades \u003c/strong>\u003c/a>\u003c/p>\n\u003cp>In classrooms across the country, it’s largely up to teachers to monitor devices. Many say it’s become all-consuming.\u003c/p>\n\u003cp>“The onus is always put on the shoulders of the teachers,” said Molly Esquivel, who teaches sixth grade in California. “You need to monitor the kids, you better be watching them, you better be surveilling them,” she added. “You introduced this problem, and the problem is now the teachers’ problem.”\u003c/p>\n\u003cp>Teachers don’t always have a choice, however: Some are required to prepare their students to take state tests on computers, and other districts are locked into contracts with ed tech vendors that mandate a certain level of use.\u003c/p>\n\u003cp>Districts vary in the degree they lock down student computers. Some districts, for example, have fully blocked access to sites like YouTube, while others allow it.\u003c/p>\n\u003cp>Some districts have adopted monitoring programs that allow teachers to see student screens and get notified when a student is off task. Parents say even when it’s available, however, not all teachers use it. In Westchester County, New York, parent Lucy Collins said her oldest child, who is 11, knows which of his teachers use monitoring software and which don’t. Her son regularly tells her how tempted he is to e-mail friends, play games and watch YouTube while at school.\u003c/p>\n\u003cp>“Even if my kid was more focused, if you look up and see someone else on a laptop on something fun or distracting, that’s a distraction to him as well,” Collins said.\u003c/p>\n\u003cp>Even the creators of blocking programs are constantly needing to evolve in response to determined children. Brian Larkin, the director of product management for the blocking program GoGuardian, said students are using proxy servers to bypass filters and blocks, and are hiding games inside of school-appropriate websites.\u003c/p>\n\u003cp>“That’s how bad it’s gotten,” Larkin said. The company recently started using artificial intelligence to proactively block those workarounds for districts and give educators more ways to limit content.\u003c/p>\n\u003cp>\u003cstrong>Related: PROOF POINTS: \u003c/strong>\u003ca href=\"https://hechingerreport.org/kindergarteners-who-may-become-heavy-screen-users/\">\u003cstrong>10,000-student study points to kindergartners who may become heavy screen users\u003c/strong>\u003c/a>\u003c/p>\n\u003cp>In recent months, motivated by concerns over device use, wasted time and these effects of screen time, some districts have moved away almost entirely from technology, especially in the earliest grades. Los Angeles Unified was the largest to do so in April, but others have taken similar steps to completely remove or cut back on devices in class, including districts in \u003ca href=\"https://www.chalkbeat.org/2026/03/25/screen-free-school-in-michigan-banned-chromebooks-to-help-students-read/\">Michigan\u003c/a>, \u003ca href=\"https://www.wtae.com/article/canon-mcmillan-schools-end-chromebook-use-for-youngest-students/71223113\">Pennsylvania\u003c/a> and \u003ca href=\"https://www.fourstateshomepage.com/news/local/oklahoma-school-district-ditching-chromebooks-for-traditional-classroom-methods/\">Oklahoma\u003c/a>.\u003c/p>\n\u003cp>Sixteen states have introduced legislation focused on evaluating ed tech products and setting limits for \u003ca href=\"https://www.distractionfreeschools.com\">students’ screen time\u003c/a>, including Alabama, which created screen time rules for early childhood classrooms, and \u003ca href=\"https://documents.house.mo.gov/billtracking/bills261/sumpdf/HB2230P.pdf\">Missouri\u003c/a>, which sought to require districts to set limits for screen time in elementary school. And in May, the U.S. surgeon general \u003ca href=\"https://www.hhs.gov/sites/default/files/us-surgeon-generals-advisory-warning-on-the-harms-of-screen-use.pdf\">issued a warning\u003c/a> about screen time and encouraged schools to limit screen use to “enable distraction-free teaching.”\u003c/p>\n\u003cp>But such moves are not universal.\u003c/p>\n\u003cfigure id=\"attachment_66435\" class=\"wp-caption alignnone\" style=\"max-width: 2560px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-66435\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-scaled.jpg\" alt=\"People at a local government meeting\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-2000x1333.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-768x512.jpg 768w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-2048x1365.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\">\u003cfigcaption class=\"wp-caption-text\">Members of the Lower Merion Board of School Directors speak with a student at a school board meeting on Monday, May 11, 2026, in Ardmore, Pa. \u003ccite>(AP Photo/Joe Lamberti)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>In Lower Merion Township — despite widespread parent advocacy and a petition signed by more than 600 parents in a district of 8,600 students — school leaders recently rescinded a policy that allows parents to opt out of the system’s one-to-one device program. “Our curriculum is delivered the way it’s delivered, and part of that curriculum is done with electronic devices,” said Frank Ranelli, the district superintendent, at an \u003ca href=\"https://whyy.org/articles/lower-merion-chromebook-students-parents-home-school/\">April school board policy meeting\u003c/a>.\u003c/p>\n\u003cp>(Ranelli later \u003ca href=\"https://www.lmsd.org/about-lmsd/newsroom/article/~board/district-information/post/information-about-technology-and-device-use-in-lmsd\">told parents\u003c/a> the district would review the one-to-one policy in elementary school, strengthen web filters and provide teachers with “real-time control and oversight of student technology use.” One \u003ca href=\"https://6abc.com/post/chromebook-controversy-continues-lower-merion-school-board-votes-change-tech-policy/19306037/\">proposal\u003c/a> under consideration would remove devices in grades K-2)\u003c/p>\n\u003cp>The district already has a shaky history with technology: More than 10 years ago, the school board was sued for \u003ca href=\"https://time.com/7275031/spy-high-true-story-prime-video/\">spying on students at home through cameras on district-issued\u003c/a> laptops.\u003c/p>\n\u003cp>A spokesperson declined to answer questions about the district’s approach to technology or its decision to revisit its opt-out policy.\u003c/p>\n\u003cp>To be sure, teachers say there are some benefits of devices in class. Assigning work on laptops and tablets is a way to guarantee kids will be quiet and kept busy while they attend to the needs of other students, especially when classes are large.\u003c/p>\n\u003cp>Erica Boyce, an elementary special education teacher in New York, said her students were especially excited to use a reading app provided by her district.\u003c/p>\n\u003cp>“They really wanted to read, they were enjoying reading,” Boyce said. She said having students take assessments on devices saves her time on grading, allows her to see what she needs to reteach and helps her group students for mini lessons and extra help.\u003c/p>\n\u003cp>\u003cstrong>Related: \u003c/strong>\u003ca href=\"https://hechingerreport.org/biting-kicking-teachers-classroom-misbehavior/\">\u003cstrong>Biting, kicking, wandering the classroom: Teachers say there’s a rise in misbehavior among even the littlest kids\u003c/strong>\u003c/a>\u003c/p>\n\u003cp>Michelle Rogers, an elementary reading intervention teacher in California who has taught kindergarten, first and fifth grades, has found devices are helpful with tracking data and giving children work at their level. But she thinks schools need a healthier balance and should bring back computer labs so device use is more intentional. “I have seen when it is not in a structured environment, it’s abused,” said Rogers.\u003c/p>\n\u003cp>What could help, Rogers added, is more education for teachers. “We need better training, better guidelines and better knowledge of how to use all the apps in a way that’s going to be beneficial,” she said.\u003c/p>\n\u003cp>Some proponents of devices in schools caution that states and districts shouldn’t move too fast and establish blanket policy changes that completely remove devices from schools.\u003c/p>\n\u003cp>“I just want to sort of help us all take a deep breath and not throw the baby out with the bathwater,” said Tracy Weeks, who leads education policy and strategy at the education technology company Instructure. “We want all children to be safe,” she added. “We want to put them in the best situation to learn,” but that doesn’t necessarily mean “arbitrary” time limits or bans on screens, she said. Instead, districts should prioritize ed tech that supports learning and show how they are keeping children safe, she added.\u003c/p>\n\u003cp>In California, Kelly May-Vollmar, superintendent of Desert Sands Unified School District and the board chair-elect for the Consortium for School Networking, a group for school ed tech leaders, said that more “structured, intentional” usage of tech in school can help cut down on distractions. “Inside the classroom, if there’s a problem, it’s not a screen problem, it’s a design problem,” she said.\u003c/p>\n\u003cp>If districts are going to keep devices, many parents want changes — less time on screens, increased protections, clear policies about screen time and a better sense of how their children are using the tools.\u003c/p>\n\u003cp>Amy Swers, a Maryland parent of three, only found out her son was spending time gaming at his Montgomery County school when she reached out to his teachers for feedback near the end of sixth grade. (The district did not respond to multiple requests for comment).\u003c/p>\n\u003cp>When Swers asked if she could be notified when her son was distracted in class, the teacher responded that “contacting parents about gaming would mean we’d be sending emails all day every day.”\u003c/p>\n\u003cp>Swers was floored. “Our school district, they’ve thrown their hands up and it’s like a hydra, it’s a three-headed monster that they don’t have any control over.”\u003c/p>\n\u003cp>\u003cem>Contact staff writer \u003c/em>\u003ca href=\"https://hechingerreport.org/author/jackie-mader/\">\u003cem>Jackie Mader\u003c/em>\u003c/a>\u003cem> at 212-678-3562 or \u003c/em>\u003ca href=\"mailto:mader@hechingerreport.org\">\u003cem>mader@hechingerreport.org\u003c/em>\u003c/a>\u003cem>. \u003c/em>\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>\u003cem>This story about screen time was produced by \u003c/em>The Hechinger Report\u003cem>, a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for the \u003c/em>\u003ca href=\"https://hechingerreport.org/earlychildhood/\">\u003cem>Hechinger newsletter\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\n",
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"excerpt": "Schools try to block kids from accessing dangerous content and games online but often fall short. Parents and educators say if devices are here to stay, districts need to have more control, transparency.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>\u003cem>This story about \u003ca href=\"https://url.us.m.mimecastprotect.com/s/UYcjCxklQwfPWYpKI8fLfy3nUU?domain=hechingerreport.org\">screen time\u003c/a> was produced by The Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for the \u003c/em>\u003ca href=\"https://hechingerreport.org/earlychildhood/\">\u003cem>Hechinger newsletter\u003c/em>\u003c/a>\u003cem>.\u003c/em>\u003c/p>\n\u003cp>When Jodi Carreon’s son returned to school full time after the pandemic, she expected teachers would roll back the use of the laptops they had relied on while students were home. But soon after her son started second grade, Carreon realized he was still using a Chromebook throughout the day.\u003c/p>\n\u003cp>Then the teacher sent a note home: Her son was playing Minecraft and watching YouTube instead of doing his work. Could Carreon urge him to focus?\u003c/p>\n\u003cp>“In my mind, I was like, ‘What do you expect? He’s 7 years old. Of course he’s going to want to play games,’” said Carreon, whose experience prompted her to later create the California-based advocacy group San Marcos Unified School District Parents for Intentional Tech.\u003c/p>\n\u003cp>“Adults have a hard time and struggle to pay attention on devices. It’s unrealistic to expect a child to do so,” she said.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>For years, districts have promoted one-to-one devices as a way to boost learning, provide tailored lessons for differing academic needs and offer enrichment.\u003c/p>\n\u003cp>But parents and teachers say even the youngest students are finding ways past any blocks adults try to put on school devices to play games, watch videos and message friends on school-issued devices.\u003c/p>\n\u003cp>Interviews with more than 45 parents, educators and experts across the country, as well as recent surveys with parents and educators, describe the many ways elementary students are using devices in class: watching YouTube videos of \u003ca href=\"https://drive.google.com/file/d/1bpUt2jebkLeBUJbe76JizxhOc5OdGqUH/view\">soccer matches\u003c/a> or playing games featuring \u003ca href=\"https://www.abc4.com/news/local-news/student-plays-five-nights-at-epsteins-game-at-school/\">Jeffrey Epstein\u003c/a> or a \u003ca href=\"https://www.independent.com/2026/04/01/santa-barbara-students-exposed-to-trauma-on-school-tablets/\">“corpse-like grandmother”\u003c/a> who chases players with a bloody baseball bat. Third graders have used Google Docs to compile inappropriate memes and images and message each other throughout the school day, and a second grader searched for a \u003ca href=\"https://www.cbsnews.com/baltimore/news/roye-williams-elementary-child-searches-explicit-content-school-internet-policies/?fbclid=IwY2xjawRhxu9leHRuA2FlbQIxMQBicmlkETE1eUNXa3BWSkVCM1lXQXY2c3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHqeYUVWnHob5-G53rxdPiQpPnOLAZPe4LPnLU3RojNIpJiAIBqBy-aNzneWO_aem_yJyP4e4uuU307XNOdKJGww\">sexually explicit term\u003c/a> and was shown a Wikipedia page — with pictures.\u003c/p>\n\u003cfigure id=\"attachment_66433\" class=\"wp-caption alignnone\" style=\"max-width: 890px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-66433\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2.jpg\" alt=\"Screen grab of an online game\" width=\"890\" height=\"617\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2.jpg 890w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2-160x111.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-2-768x532.jpg 768w\" sizes=\"auto, (max-width: 890px) 100vw, 890px\">\u003cfigcaption class=\"wp-caption-text\">Parents across the country have reported their students playing a game called “Five Nights At Epstein Island” online, in which players try to survive several nights on Jeffrey Epstein’s island.\u003c/figcaption>\u003c/figure>\n\u003cp>All of this occurred in districts that had filters, safeguards and systems in place meant to block such content.\u003c/p>\n\u003cp>\u003cstrong>Related: Young children have unique needs and providing the right care can be a challenge. Our free \u003c/strong>\u003ca href=\"https://hechingerreport.org/earlychildhood/\">\u003cstrong>early childhood education newsletter\u003c/strong>\u003c/a>\u003cstrong> tracks the issues\u003c/strong>.\u003c/p>\n\u003cp>Bryn Prusky, a second grader in Pennsylvania’s Lower Merion Township, said her friends “just drift off into a video game and start doing something else that they’re not supposed to be doing” instead of classwork. It isn’t hard to find the games — they’re usually “just there,” she said, already downloaded on the computers.\u003c/p>\n\u003cp>Some parents and teachers are now asking if the benefits of classroom tech are worth the costs in distraction and energy spent policing its use.\u003c/p>\n\u003cp>“The problem is in the way the machine works. As soon as you give me unfettered access to programs and the internet, … I’m going to go right down that path, and learning goes away,” said Jared Cooney Horvath, a neuroscientist and author of “The Digital Delusion,” which argues that educational technology harms learning. “It doesn’t matter the size of the screen or the fact that the school bought it and stamped ‘educational’ on it.”\u003c/p>\n\u003cp>In the New York City borough of Brooklyn, fourth grade teacher Martina Meijer only gives her students Chromebook time during small group reading rotations. But within minutes of sitting down with a computer, some of her students are navigating to video sites. Some wear headphones to listen to audiobooks, which also blocks Meijer from knowing exactly what they’re doing when she’s working with another group.\u003c/p>\n\u003cp>“I always try to monitor what they’re looking at,” Meijer said, “but my eyes can’t be everywhere.”\u003c/p>\n\u003cp>Kids have been off task and distracted in school long before Chromebooks or iPads existed. But some parents and experts say devices only make it easier to engage in non-academic, inappropriate and even dangerous content.\u003c/p>\n\u003cp>This is especially challenging for young children whose brains, self-regulation skills and self-control are still developing.\u003c/p>\n\u003cp>“Let’s say you hand a child a pen and you’re like, ‘This pen can write, it can turn into a magic wand, it can turn into a knife, it can fly, it can change colors. But only use it as a pen, OK?” said Deanie Eichenstein, a California-based clinical psychologist who is one of the leaders of the advocacy group Schools Beyond Screens. “It’s silly.”\u003c/p>\n\u003cp>John Bellis, the parent of a preschooler and a third grader in Lower Merion Township, said his son got in trouble earlier this year after he successfully guessed a classmate’s password, logged into one of the student’s online accounts and changed the profile picture to a poop emoji.\u003c/p>\n\u003cp>“It’s not like they’re doing crime, but they’re goofing around and they’re not learning,” Bellis said.\u003c/p>\n\u003cp>Many teachers say devices have added challenges to their classrooms. Fifty-six percent of more than 1,200 educators surveyed \u003ca href=\"https://www.edweek.org/technology/chromebooks-or-cellphones-which-are-the-bigger-classroom-distraction/2025/05\">by Education Week\u003c/a> last year reported that off-task behavior on computers is a “major source of distraction that cuts into students’ learning time.” Teachers said computers and tablets are more distracting than cellphones, which more than 20 states have banned in schools. And 70 percent of \u003ca href=\"https://www.nytimes.com/2025/11/12/upshot/teachers-survey-chromebooks-class.html\">350\u003c/a>\u003ca href=\"https://www.nytimes.com/2025/11/12/upshot/teachers-survey-chromebooks-class.html\"> educators\u003c/a> surveyed by The New York Times last year said school-issued devices distract from learning and engagement in class.\u003c/p>\n\u003cp>One North Carolina district found in an audit of student screen use, screen time spent on distraction added up to \u003ca href=\"https://archive.is/WK6bF\">31 lost instructional days\u003c/a> each year, according to The Wall Street Journal.\u003c/p>\n\u003cp>Teaching in an era of devices has been frustrating, said Meijer. “It’s reducing the children’s stamina, the children’s attention span and creating this dopamine hit need.”\u003c/p>\n\u003cp>\u003cstrong>Related: \u003c/strong>\u003ca href=\"https://hechingerreport.org/ipads-in-kindergarten-youtube-videos-at-snack-time-parents-are-pushing-back-on-screen-time-in-the-early-grades/\">\u003cstrong>IPads in kindergarten, YouTube videos at snack time: Parents are pushing back on screens in the early grades \u003c/strong>\u003c/a>\u003c/p>\n\u003cp>In classrooms across the country, it’s largely up to teachers to monitor devices. Many say it’s become all-consuming.\u003c/p>\n\u003cp>“The onus is always put on the shoulders of the teachers,” said Molly Esquivel, who teaches sixth grade in California. “You need to monitor the kids, you better be watching them, you better be surveilling them,” she added. “You introduced this problem, and the problem is now the teachers’ problem.”\u003c/p>\n\u003cp>Teachers don’t always have a choice, however: Some are required to prepare their students to take state tests on computers, and other districts are locked into contracts with ed tech vendors that mandate a certain level of use.\u003c/p>\n\u003cp>Districts vary in the degree they lock down student computers. Some districts, for example, have fully blocked access to sites like YouTube, while others allow it.\u003c/p>\n\u003cp>Some districts have adopted monitoring programs that allow teachers to see student screens and get notified when a student is off task. Parents say even when it’s available, however, not all teachers use it. In Westchester County, New York, parent Lucy Collins said her oldest child, who is 11, knows which of his teachers use monitoring software and which don’t. Her son regularly tells her how tempted he is to e-mail friends, play games and watch YouTube while at school.\u003c/p>\n\u003cp>“Even if my kid was more focused, if you look up and see someone else on a laptop on something fun or distracting, that’s a distraction to him as well,” Collins said.\u003c/p>\n\u003cp>Even the creators of blocking programs are constantly needing to evolve in response to determined children. Brian Larkin, the director of product management for the blocking program GoGuardian, said students are using proxy servers to bypass filters and blocks, and are hiding games inside of school-appropriate websites.\u003c/p>\n\u003cp>“That’s how bad it’s gotten,” Larkin said. The company recently started using artificial intelligence to proactively block those workarounds for districts and give educators more ways to limit content.\u003c/p>\n\u003cp>\u003cstrong>Related: PROOF POINTS: \u003c/strong>\u003ca href=\"https://hechingerreport.org/kindergarteners-who-may-become-heavy-screen-users/\">\u003cstrong>10,000-student study points to kindergartners who may become heavy screen users\u003c/strong>\u003c/a>\u003c/p>\n\u003cp>In recent months, motivated by concerns over device use, wasted time and these effects of screen time, some districts have moved away almost entirely from technology, especially in the earliest grades. Los Angeles Unified was the largest to do so in April, but others have taken similar steps to completely remove or cut back on devices in class, including districts in \u003ca href=\"https://www.chalkbeat.org/2026/03/25/screen-free-school-in-michigan-banned-chromebooks-to-help-students-read/\">Michigan\u003c/a>, \u003ca href=\"https://www.wtae.com/article/canon-mcmillan-schools-end-chromebook-use-for-youngest-students/71223113\">Pennsylvania\u003c/a> and \u003ca href=\"https://www.fourstateshomepage.com/news/local/oklahoma-school-district-ditching-chromebooks-for-traditional-classroom-methods/\">Oklahoma\u003c/a>.\u003c/p>\n\u003cp>Sixteen states have introduced legislation focused on evaluating ed tech products and setting limits for \u003ca href=\"https://www.distractionfreeschools.com\">students’ screen time\u003c/a>, including Alabama, which created screen time rules for early childhood classrooms, and \u003ca href=\"https://documents.house.mo.gov/billtracking/bills261/sumpdf/HB2230P.pdf\">Missouri\u003c/a>, which sought to require districts to set limits for screen time in elementary school. And in May, the U.S. surgeon general \u003ca href=\"https://www.hhs.gov/sites/default/files/us-surgeon-generals-advisory-warning-on-the-harms-of-screen-use.pdf\">issued a warning\u003c/a> about screen time and encouraged schools to limit screen use to “enable distraction-free teaching.”\u003c/p>\n\u003cp>But such moves are not universal.\u003c/p>\n\u003cfigure id=\"attachment_66435\" class=\"wp-caption alignnone\" style=\"max-width: 2560px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-66435\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-scaled.jpg\" alt=\"People at a local government meeting\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-2000x1333.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-768x512.jpg 768w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/23/2026/07/EC-screen-distraction-3-2048x1365.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\">\u003cfigcaption class=\"wp-caption-text\">Members of the Lower Merion Board of School Directors speak with a student at a school board meeting on Monday, May 11, 2026, in Ardmore, Pa. \u003ccite>(AP Photo/Joe Lamberti)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>In Lower Merion Township — despite widespread parent advocacy and a petition signed by more than 600 parents in a district of 8,600 students — school leaders recently rescinded a policy that allows parents to opt out of the system’s one-to-one device program. “Our curriculum is delivered the way it’s delivered, and part of that curriculum is done with electronic devices,” said Frank Ranelli, the district superintendent, at an \u003ca href=\"https://whyy.org/articles/lower-merion-chromebook-students-parents-home-school/\">April school board policy meeting\u003c/a>.\u003c/p>\n\u003cp>(Ranelli later \u003ca href=\"https://www.lmsd.org/about-lmsd/newsroom/article/~board/district-information/post/information-about-technology-and-device-use-in-lmsd\">told parents\u003c/a> the district would review the one-to-one policy in elementary school, strengthen web filters and provide teachers with “real-time control and oversight of student technology use.” One \u003ca href=\"https://6abc.com/post/chromebook-controversy-continues-lower-merion-school-board-votes-change-tech-policy/19306037/\">proposal\u003c/a> under consideration would remove devices in grades K-2)\u003c/p>\n\u003cp>The district already has a shaky history with technology: More than 10 years ago, the school board was sued for \u003ca href=\"https://time.com/7275031/spy-high-true-story-prime-video/\">spying on students at home through cameras on district-issued\u003c/a> laptops.\u003c/p>\n\u003cp>A spokesperson declined to answer questions about the district’s approach to technology or its decision to revisit its opt-out policy.\u003c/p>\n\u003cp>To be sure, teachers say there are some benefits of devices in class. Assigning work on laptops and tablets is a way to guarantee kids will be quiet and kept busy while they attend to the needs of other students, especially when classes are large.\u003c/p>\n\u003cp>Erica Boyce, an elementary special education teacher in New York, said her students were especially excited to use a reading app provided by her district.\u003c/p>\n\u003cp>“They really wanted to read, they were enjoying reading,” Boyce said. She said having students take assessments on devices saves her time on grading, allows her to see what she needs to reteach and helps her group students for mini lessons and extra help.\u003c/p>\n\u003cp>\u003cstrong>Related: \u003c/strong>\u003ca href=\"https://hechingerreport.org/biting-kicking-teachers-classroom-misbehavior/\">\u003cstrong>Biting, kicking, wandering the classroom: Teachers say there’s a rise in misbehavior among even the littlest kids\u003c/strong>\u003c/a>\u003c/p>\n\u003cp>Michelle Rogers, an elementary reading intervention teacher in California who has taught kindergarten, first and fifth grades, has found devices are helpful with tracking data and giving children work at their level. But she thinks schools need a healthier balance and should bring back computer labs so device use is more intentional. “I have seen when it is not in a structured environment, it’s abused,” said Rogers.\u003c/p>\n\u003cp>What could help, Rogers added, is more education for teachers. “We need better training, better guidelines and better knowledge of how to use all the apps in a way that’s going to be beneficial,” she said.\u003c/p>\n\u003cp>Some proponents of devices in schools caution that states and districts shouldn’t move too fast and establish blanket policy changes that completely remove devices from schools.\u003c/p>\n\u003cp>“I just want to sort of help us all take a deep breath and not throw the baby out with the bathwater,” said Tracy Weeks, who leads education policy and strategy at the education technology company Instructure. “We want all children to be safe,” she added. “We want to put them in the best situation to learn,” but that doesn’t necessarily mean “arbitrary” time limits or bans on screens, she said. Instead, districts should prioritize ed tech that supports learning and show how they are keeping children safe, she added.\u003c/p>\n\u003cp>In California, Kelly May-Vollmar, superintendent of Desert Sands Unified School District and the board chair-elect for the Consortium for School Networking, a group for school ed tech leaders, said that more “structured, intentional” usage of tech in school can help cut down on distractions. “Inside the classroom, if there’s a problem, it’s not a screen problem, it’s a design problem,” she said.\u003c/p>\n\u003cp>If districts are going to keep devices, many parents want changes — less time on screens, increased protections, clear policies about screen time and a better sense of how their children are using the tools.\u003c/p>\n\u003cp>Amy Swers, a Maryland parent of three, only found out her son was spending time gaming at his Montgomery County school when she reached out to his teachers for feedback near the end of sixth grade. (The district did not respond to multiple requests for comment).\u003c/p>\n\u003cp>When Swers asked if she could be notified when her son was distracted in class, the teacher responded that “contacting parents about gaming would mean we’d be sending emails all day every day.”\u003c/p>\n\u003cp>Swers was floored. “Our school district, they’ve thrown their hands up and it’s like a hydra, it’s a three-headed monster that they don’t have any control over.”\u003c/p>\n\u003cp>\u003cem>Contact staff writer \u003c/em>\u003ca href=\"https://hechingerreport.org/author/jackie-mader/\">\u003cem>Jackie Mader\u003c/em>\u003c/a>\u003cem> at 212-678-3562 or \u003c/em>\u003ca href=\"mailto:mader@hechingerreport.org\">\u003cem>mader@hechingerreport.org\u003c/em>\u003c/a>\u003cem>. \u003c/em>\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"info": "What kind of no sabo word is Hyphenación? For us, it’s about living within a hyphenation. Like being a third-gen Mexican-American from the Texas border now living that Bay Area Chicano life. Like Xorje! Each week we bring together a couple of hyphenated Latinos to talk all about personal life choices: family, careers, relationships, belonging … everything is on the table. ",
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"info": "Our flagship program, helmed by Kai Ryssdal, examines what the day in money delivered, through stories, conversations, newsworthy numbers and more. Updated Monday through Friday at about 3:30 p.m. PT.",
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"info": "The MindShift podcast explores the innovations in education that are shaping how kids learn. Hosts Ki Sung and Katrina Schwartz introduce listeners to educators, researchers, parents and students who are developing effective ways to improve how kids learn. We cover topics like how fed-up administrators are developing surprising tactics to deal with classroom disruptions; how listening to podcasts are helping kids develop reading skills; the consequences of overparenting; and why interdisciplinary learning can engage students on all ends of the traditional achievement spectrum. This podcast is part of the MindShift education site, a division of KQED News. KQED is an NPR/PBS member station based in San Francisco. You can also visit the MindShift website for episodes and supplemental blog posts or tweet us \u003ca href=\"https://twitter.com/MindShiftKQED\">@MindShiftKQED\u003c/a> or visit us at \u003ca href=\"/mindshift\">MindShift.KQED.org\u003c/a>",
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"info": "For decades, the process for how police police themselves has been inconsistent – if not opaque. In some states, like California, these proceedings were completely hidden. After a new police transparency law unsealed scores of internal affairs files, our reporters set out to examine these cases and the shadow world of police discipline. On Our Watch brings listeners into the rooms where officers are questioned and witnesses are interrogated to find out who this system is really protecting. Is it the officers, or the public they've sworn to serve?",
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"politicalbreakdown": {
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"title": "Political Breakdown",
"tagline": "Politics from a personal perspective",
"info": "Political Breakdown is a new series that explores the political intersection of California and the nation. Each week hosts Scott Shafer and Marisa Lagos are joined with a new special guest to unpack politics -- with personality — and offer an insider’s glimpse at how politics happens.",
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"possible": {
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"title": "Possible",
"info": "Possible is hosted by entrepreneur Reid Hoffman and writer Aria Finger. Together in Possible, Hoffman and Finger lead enlightening discussions about building a brighter collective future. The show features interviews with visionary guests like Trevor Noah, Sam Altman and Janette Sadik-Khan. Possible paints an optimistic portrait of the world we can create through science, policy, business, art and our shared humanity. It asks: What if everything goes right for once? How can we get there? Each episode also includes a short fiction story generated by advanced AI GPT-4, serving as a thought-provoking springboard to speculate how humanity could leverage technology for good.",
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"pri-the-world": {
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"title": "PRI's The World: Latest Edition",
"info": "Each weekday, host Marco Werman and his team of producers bring you the world's most interesting stories in an hour of radio that reminds us just how small our planet really is.",
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"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/The-World-Podcast-Tile-360x360-1.jpg",
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},
"radiolab": {
"id": "radiolab",
"title": "Radiolab",
"info": "A two-time Peabody Award-winner, Radiolab is an investigation told through sounds and stories, and centered around one big idea. In the Radiolab world, information sounds like music and science and culture collide. Hosted by Jad Abumrad and Robert Krulwich, the show is designed for listeners who demand skepticism, but appreciate wonder. WNYC Studios is the producer of other leading podcasts including Freakonomics Radio, Death, Sex & Money, On the Media and many more.",
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},
"reveal": {
"id": "reveal",
"title": "Reveal",
"info": "Created by The Center for Investigative Reporting and PRX, Reveal is public radios first one-hour weekly radio show and podcast dedicated to investigative reporting. Credible, fact based and without a partisan agenda, Reveal combines the power and artistry of driveway moment storytelling with data-rich reporting on critically important issues. The result is stories that inform and inspire, arming our listeners with information to right injustices, hold the powerful accountable and improve lives.Reveal is hosted by Al Letson and showcases the award-winning work of CIR and newsrooms large and small across the nation. In a radio and podcast market crowded with choices, Reveal focuses on important and often surprising stories that illuminate the world for our listeners.",
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"officialWebsiteLink": "https://www.revealnews.org/episodes/",
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},
"rightnowish": {
"id": "rightnowish",
"title": "Rightnowish",
"tagline": "Art is where you find it",
"info": "Rightnowish digs into life in the Bay Area right now… ish. Journalist Pendarvis Harshaw takes us to galleries painted on the sides of liquor stores in West Oakland. We'll dance in warehouses in the Bayview, make smoothies with kids in South Berkeley, and listen to classical music in a 1984 Cutlass Supreme in Richmond. Every week, Pen talks to movers and shakers about how the Bay Area shapes what they create, and how they shape the place we call home.",
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"order": 16
},
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