Post-test mathematics performance was significantly lower than pre-test after AI-tutor use¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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? A paired Wilcoxon test showed a significant decrease from pre-test (67.5%) to post-test (56.9%, p=.014). → Rania Abdelghani 2026
Evidence¶
Rania Abdelghani 2026¶
Rania Abdelghani, Peter Kaiser, and Kou Murayama. (2026). Regulating the AI Tutor: Intentions, Help-Seeking, and Self-Regulated Learning in Adolescent GenAI Use. Accepted at the NextGen Learning Interfaces Workshop, AIED 2026. https://arxiv.org/abs/2606.08568 doi:10.48550/arxiv.2606.08568
q2 · i? · associational · r2
Within-student comparison of pre- and post-test mathematical modeling scores in the single-session classroom study (n=98 analyzed sample per the study design). Only the test statistic and means are printed; no effect size is reported, so equivalence was not tested.
"A paired Wilcoxon test showed a significant decrease from pre- (67.5%) to post- test (56.9%,p=.014)"
Discussion¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
post-test-decline-after-ai-tutor-session |
title |
Post-test mathematics performance was significantly lower than pre-test after AI-tutor use |
description |
Post-test mathematics performance was significantly lower than pre-test after AI-tutor use |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — rania-abdelghani-2026 |
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