Trained students use more diverse higher-order prompting strategies, including generating new questions absent among controls¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? The experimental group's frequency of higher-order strategies (comparisons/summaries, definitions, insight-seeking, question generation) consistently exceeded controls; 14.0% of trained students used generating new questions versus 0.0% of controls. → Huang 2026

Evidence¶

Huang 2026¶

Huang, B., Xie, L., Liu, Y., Liu, X., Tang, H., Feng, X., Qiao, C., Guo, Q., Wu, C., & Bao, L. (2026). From answer machine to collaborative partner: impact of structured generative AI training on scientific problem solving in STEM education. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00652-9

q3 · i? · causal · r2

Qualitative content analysis of chat logs coded by two researchers (Krippendorff's α = 0.951) across six strategy types. Both groups relied heavily on image-only prompting (82.2% vs. 88.0% of students); trained students showed higher participation in higher-order strategies.

"the proportion of students engaging in the obtaining insight into problems strategy more than doubled, increasing from 20.0% (9 students) in the control group to 42.0% (21 students) in the experimental group. Notably, 14.0% (7 students) of the trained participants progressed to the generating new questions strategy for self-assessment, a higher-order behavior entirely absent among control-group students (0.0%)"

Discussion¶

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