Within-session SRL change shows no detectable association with unaided post-test performance¶

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

Subclaims¶

q2 i? No association was detected for the SRL change score (β = .14, 95% CI [-.05, .33], p = .155). → Abdelghani 2026

Evidence¶

Abdelghani 2026¶

Abdelghani, R., Kaiser, P., Murayama, K. (2026). Changes in Help-Seeking Strategies Predict unaided Performance during AI-based Mathematical Learning. https://arxiv.org/abs/2606.28472 doi:10.48550/arxiv.2606.28472

q2 · i? · associational · r?

Coefficient for the SRL change score in the same full regression model with N = 89 students. The authors report "No association was detected for the SRL change score" with a confidence interval crossing zero.

"No association was detected for the SRL change score,β=.14, 95% CI[−.05,.33],p=.155."

Discussion¶

Related Claims¶

• Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts — the general claim this finding bears on, with the studies behind it

• Metacognitive prompts improve learning — the general claim this finding bears on, with the studies behind it

• Within-session help-seeking development predicts unaided post-test performance beyond pre-test performance and static AI-use features — reports the opposite
• Within a single LLM session, students' help-seeking shifts toward answer- and verification-seeking while explicit self-regulation modestly increases — related
• Static whole-session summaries of AI use add no detectable post-test variance beyond pre-test performance — related