Faculty hold more tempered views of LLMs than students (51% vs 74% positive), centred on clinical reasoning development and content reliability¶
Claim · All claims
Evidence · 1 study · reviewr3·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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q2 i? 51% of faculty expressed overall positive views versus 74% of students; faculty concerns centred on clinical reasoning development, depth of learning, and reliability of LLM-generated teaching content (9/11 faculty 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 · r3
Narrative synthesis of 11 faculty perception studies within the review's Results. The review reports "51% of faculty expressed overall positive views" against 74% student positivity; only 9 of 11 studies were consistent.
"Faculty perceptions were more cautious than those of students: 51% of faculty expressed overall positive views (consistent across 9 of 11 faculty studies), compared to 74% of students"
Discussion¶
Related Claims¶
- Nursing students and faculty report concerns that AI use may weaken critical thinking, enable plagiarism and misinformation, and create unequal access — related
- Students broadly endorse LLMs as educational aids (74% positive) while 61% raise integrity concerns, 59% cite hallucination risk, and 82% report no institutional guidance — related
- Instructional designers' main challenges with ChatGPT are output quality (53.8%), tool limitations (42.3%), and faculty unpreparedness (3.8%) — related
- Students report negative experiences with ChatGPT including inaccurate outputs, lack of emotional connection, and risk of overreliance, which constrain competence — related
- Over-reliance on GAI risks weakening teaching and social presence and depriving students of foundational skill development — related
- The most frequently cited ethical concerns about GenAI in research were hallucinated facts, fabricated references, and misleading content — related
- Students perceive LLM chatbots as useful for learning but requiring critical use, reporting hallucinations, overconfidence, and dependency risks — related
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by process:wiki-ingest on 2026-10-31 |
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