The predominant student evaluation of LLMs (42%) is positive but conditional on the student's own verification work¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Among overall impressions of LLMs in education, the predominant trend (42%) was a positive evaluation with a caveat, praising speed and efficiency while noting the work of verifying sources and outputs. → Kudina 2025

Evidence¶

Kudina 2025¶

Kudina, O. (2025). Using AI in engineering education: a balancing act, driven by clear purpose. Draft version, to appear in The Routledge Handbook of the Philosophy of Engineering, 2nd ed. https://arxiv.org/abs/2606.16626 doi:10.48550/arxiv.2606.16626

q2 · i? · associational · r1

Questionnaire item on overall impressions of LLM use in education; 42% of responses were positive with a caveat, e.g., that LLMs are "a great tool if you use it in the right way and know what to be careful of."

"the predominant trend (42%) was providing a positive evaluation, with a caveat. The group of students here acknowledges the possible utility of LLMs and evaluates them positively, praising their speed, efficiency, and user-friendliness"

Discussion¶

Related Claims¶

• Attachment to LLMs exhibits cruel optimism: desired efficiency collides with the vigilance and expertise students do not yet possess — related
• Students' top two concerns about educational LLM use are output quality (fabricated or misleading content, 53 mentions) and the verification burden (34 mentions) — related
• Favorable assessments of LLM review workflows frequently coexist with reported unmet reliability or performance requirements — related
• Student reflections identify speed and scaffolding as the dominant theme, with verification burden, overreliance worries, and prompt precision also prevalent — related
• High-achieving students describe selective AI use for clarification, summarisation, and workflow support while verifying outputs and keeping them subordinate to their own judgment — related