Classrooms & Teachers
9 gains2 Traces14 problems
Every measured gain and problem on the record for this topic, newest first. Updated .
One square per record, darker for stronger evidence:Evidence: 1 high9 moderate15 emerging
AI in classrooms
A Trace is one record with both a gain and a problem, so it counts on both sides: 11 records show a gain and 16 show a problem. 29 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 0 | 1 |
| ModerateA measured study or an official source | 4 | 5 |
| EmergingEarly, small, unreviewed or reported second-hand | 7 | 10 |
By type of evidence: 8 interview studies; 6 surveys; 3 news reports; 3 systematic reviews or meta-analyses; 2 observational studies; 1 randomized trial; 1 investigation by reporters; 1 commentary or narrative review. How evidence is scored
In an experiment with 60 university English teachers in China, teams working with an AI co-pilot scored higher on a learning-design rubric, and their discussions were more interconnected and learner-centered.
In one Indonesian pesantren case in the review, AI cut attendance-processing time by about half and modestly raised teacher digital competence and student engagement.
A review of 44 studies found AI-assisted maths teaching was generally linked to better student achievement, understanding, interest, motivation and engagement in primary and secondary schools.
In a survey at one large southeastern US university, 76% of students said they had received no formal classroom instruction on generative AI, and faculty said they need help with AI-resistant assessments and teaching strategies.
In a review of 56 studies and a survey of 260 Saudi university participants, AI in education was linked to concerns about reduced human connection, data privacy and security risks, algorithmic bias, lack of transparency, and equity and reliability issues.
A review of public documents from all 48 accredited US health informatics and information management master's programs found eight had no AI policy or guidance, and most of the other 40 offered guidance rather than formal policy.
54 records · page 4 of 4
Abhishek Tiwari, who teaches Sanskrit at PM SHRI Kendriya Vidyalaya-1 in Bhopal, used generative AI to mine NCERT textbooks for classes 6 to 10. He turned the material into a free online portal of Sanskrit games covering grammar, vocabulary and verses.
Times of India
Two years ago at age 39, after 15 years as a freelance writer and novelist, the author began training to teach English with the aim of helping young people become stronger readers, writers and…
On 2026-07-16, a peer-reviewed study described Den-SOFA, an explainable machine learning framework tested as a proof-of-concept to forecast restorative dentistry exit examination outcomes from 26 academic and demographic…
Researchers conducted a cross-national analysis of generative AI guidelines issued by leading universities in the United States, Japan, and China, coding policies across five Technology Acceptance Model domains to…
On Dec 7 2024, two teacher-education academics reported an autoethnographic experiment in which each co-produced a creative work with ChatGPT, a poem and a multimodal narrative, and analyzed the process through Don…
As of May 2026, a peer-reviewed study examined AI adoption in higher education, noting its growing use to support teaching, learning, administration, quality assurance, and institutional planning.
A June 2026 peer-reviewed survey at a large R1 university in the southeastern United States examined generative AI adoption among 3,164 students and 166 faculty.
Estonia is launching a national initiative called AI Leap that will give students their own AI accounts from September 2025, starting with 16- and 17-year-olds.
A Guardian letters page publishes a response to a 20 November story about students fighting back over a course taught by AI.
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