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.
9 records
A PRISMA-guided systematic review searched five databases for 2016-2025 work, screened 1,563 unique records and retained 57 studies on AI and quantum physics in Islamic education. Of these, 48 dealt directly with Islamic-education contexts and 9 were general quantum-physics-education studies kept as a comparison group.
ISEDU : Islamic Education Journal
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…
A community service program in Depok City worked with 18 elementary school teachers who could write computational arithmetic problems but did not routinely design mathematically authentic, cognitively demanding tasks.
Researchers redesigned existing undergraduate dental lessons using AI-supported recommendations meant to align learning objectives, real clinical contexts, and expected clinical outcomes.
A small Catholic liberal arts college piloted generative AI tools to help faculty complete program-assessment documentation during a single structured Education Day.
Researchers ran a between-subjects experiment with 60 in-service university English teachers in China, who worked in teams to design learning activities. Some teams had a generative AI co-pilot.
A thematic review searched the Web of Science for research published from 2022 to 2026 on AI in primary and secondary mathematics teaching. Of 262 records found, 44 met the inclusion criteria.
A qualitative case study looked at how a madrasah in Pesawaran Regency, Lampung, used AI in Islamic Religious Education.
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.
ace