Claims

Students broadly endorse LLMs as educational aids (74% positive) while 61% raise integrity concerns, 59% cite hallucination risk, and 82% report no institutional guidance

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? A median 74% of students rated LLMs as beneficial, highest for concept summarisation, mnemonic creation, and practice question generation (24/28 studies). → Bodke Parag 2026 q2 i? 61% expressed academic integrity concern versus 11% self-reported dishonest use; 59% worried about hallucination risk yet only 37% could identify a hallucination in a test scenario; 82% reported no formal institutional guidance (25/28 studies). → Bodke Parag 2026

Evidence

Bodke Parag 2026

Bodke Parag, Jumle Rahul. (2026). Large language models in undergraduate medical education: a systematic review of examination performance, knowledge acquisition, and learner perceptions. BMC Medical Education. https://doi.org/10.1186/s12909-026-09999-7

q2 · i? · review · r2

Narrative synthesis of 28 perception studies (surveys, focus groups, mixed methods), only 7 using validated instruments. The review reports median 74% positive, 61% integrity concern, 11% dishonest use, 59% hallucination concern, 37% identification, and "82% of students reported receiving no formal guidance".

"82% of students reported receiving no formal guidance, policy communication, or LLM-related training from their medical school—a finding consistent across 25 of 28 studies and observed uniformly across high-income and LMIC settings"

Discussion

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generated by process:wiki-ingest on 2026-10-31
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