Claims

Post-test mathematics performance was significantly lower than pre-test after AI-tutor use

Claim · All claims
Evidence · 1 study · associational r2 · 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

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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