Students found AI effective for ideation and formatting but unreliable for practical experimental details¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims¶

q2 i? Students rated AI positively for generating ideas and improving formatting/language (75% positive) but found it unreliable for listing required materials and equipment. → Yim 2026

Evidence¶

Yim 2026¶

Yim, K.-H.; Lui, M. Y. (2026). Supporting Undergraduate Students' Learning in Practical Chemistry Courses through AI-Supported Experimental Design. Journal of Chemical Education. https://doi.org/10.1021/acs.jchemed.5c01311

q2 · i? · design · r2

Postsurvey on AI perspectives (Figure 3). Students found AI "particularly effective at generating a variety of ideas and directions" but noted it "often lacks detailed information or advanced chemistry knowledge" and provides impractical materials lists.

"75% of respondents gave positive ratings (4−5) that AI can help improve the formatting and language of lab manuals (Figure 3, Q15), reflecting the experiences they shared during the preinterviews"

Discussion¶

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