Students' mean self-rated impact of AI on their mechanics learning rose from 5.85 to 6.35 on a 0-10 scale¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The mean 0-10 rating of AI's impact on learning in engineering mechanics increased from 5.85 pre to 6.35 post, with the post distribution shifting positive. → Shuang Geng 2026

Evidence¶

Shuang Geng 2026¶

Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, and Emma Lejeune. (2026). Structured AI Demonstrations and Student LLM Use in Engineering Mechanics: Study Design and Preliminary Results. https://arxiv.org/abs/2607.28710 doi:10.48550/arxiv.2607.28710

q2 · i? · design · r2

Descriptive pre/post survey result (n=99 at each timepoint on the paired 0-10 item). The mean self-rated impact of AI on learning "rose from 5.85 to 6.35 on the 0–10 scale"; no significance test is reported.

"Consistent with these attitudes, the mean self-rated impact of AI on learning rose from 5.85 to 6.35 on the 0–10 scale, with the post distribution shifting toward the positive end (Fig. 4, top)."

Discussion¶

Related Claims¶

• Student generative AI use expanded substantially within engineering mechanics coursework over the semester, from 37% to 51% using it at least weekly — related