Among GPT-assisted students, proactive and critical engagement patterns are associated with higher exam scores while limited engagement shows little benefit relative to control¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i? Experimental participants whose behavior was active-trial, verification, or error-correction were associated with higher exam scores than the control group. → Jingwei Yi 2026 q2 i? Abstention was close to the control group and rote-adoption showed limited benefit relative to control. → Jingwei Yi 2026

Evidence¶

Jingwei Yi 2026¶

Jingwei Yi, Yueqi Xie, Jiyan He, Rui Ye, Junming Huang, Bin Zhu, Sean Rintel, Yu Xie, Xing Xie, and Fangzhao Wu. (2026). Learning behavior accounts for background-related advantage in AI-assisted education. https://arxiv.org/abs/2607.10101 doi:10.48550/arxiv.2607.10101

q2 · i? · causal · r2

Behavior-outcome comparison within the randomized controlled trial of 318 university students, using one-sided Brunner–Munzel tests with Benjamini–Hochberg adjustment comparing each behavior pattern's exam score against the control group; the article reports that "active-trial, verification, and error-correction are associated with higher exam scores."

"As shown in Figure 2c, abstention is close to the control group, indicating that unused GPT access provides little observable learning advantage. Rote-adoption also shows limited benefit relative to the control group, even though it may help students complete assignment problems more directly. By contrast, active-trial, verification, and error-correction are associated with higher exam scores."

Discussion¶

Related Claims¶

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