Claims

Unscaffolded GenAI access did not significantly change pre-service teachers' self-regulated learning relative to traditional learning

Claim · All claims
Evidence · 1 study · causal r1 · q3 · i0 negligible
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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.

q3 i0 After controlling for pretest scores, adjusted posttest self-regulated learning scores did not differ significantly between the two groups, with a negligible effect size. → Zhang Jun 2026

Evidence

Zhang Jun 2026

Zhang Jun, Peng Yuting, Deng Xinyue, Zeng Qin, Wang Kai. (2026). The Impact of Unscaffolded GenAI Use on Pre-Service Teachers’ AI Readiness, Self-Regulated Learning, Critical Thinking, and Instructional Design Performance: A Quasi-Experimental Study. Behavioral Sciences. https://doi.org/10.3390/bs16071114

q3 · i0 · causal · r1

One-way ANCOVA on SRL (seven-item scale) with pretest as covariate in the quasi-experiment of 52 pre-service chemistry teachers; adjusted means were 4.15 in both groups. The article reports "F = 0.001, p = 0.977, η2 = 0.000, with a negligible effect size".

"The ANCOVA analysis showed no significant difference between the experimental and control groups, F = 0.001, p = 0.977, η2 = 0.000, with a negligible effect size."

Discussion

Page metadata
Field Value
type claim
id unscaffolded-genai-no-srl-change
title Unscaffolded GenAI access did not significantly change pre-service teachers' self-regulated learning relative to traditional learning
description Unscaffolded GenAI access did not significantly change pre-service teachers' self-regulated learning relative to traditional learning
status review
evidence_strength weak
newest_evidence 2026
source_checked 2026-10-20
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — zhang-jun-2026

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