Static whole-session summaries of AI use add no detectable post-test variance beyond pre-test performance¶
Claim · All claims
Evidence · 1 study · associationalr?·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¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Adding four static interaction features to pre-test performance increased explained variance only from R2 = .161 to R2 = .184, a non-significant increment. → 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?
Regression analysis with N = 89 students with complete pre/post-tests and computable indicators, predicting unaided post-test performance from pre-test plus four whole-session features (regulatory-turn proportion, understanding-oriented request proportion, chat time, response-review time). The increment was non-significant: "F(4,83) = 0.57,p=.684".
"Adding these static interaction features increased explained variance only toR 2 =.184,∆R 2 =.023,F(4,83) = 0.57,p=.684."
Discussion¶
Related Claims¶
- Within-session help-seeking development predicts unaided post-test performance beyond pre-test performance and static AI-use features — related
- Within-session SRL change shows no detectable association with unaided post-test performance — related
- Scaffolding level provides no consistent additional predictive information about subsequent exam performance beyond prior achievement and observed dialogue behavior — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
static-ai-use-features-no-incremental-posttest-variance |
title |
Static whole-session summaries of AI use add no detectable post-test variance beyond pre-test performance |
description |
Static whole-session summaries of AI use add no detectable post-test variance beyond pre-test performance |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — abdelghani-2026 |
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