Claims

Self-regulated learning and critical AI evaluation promote effective AI use

Claim · All claims
Evidence · 1 study · associational r? · q3
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.

q3 i? Self-regulated learning positively influences effective AI use. → Gao L 2026 q3 i? Critical AI evaluation positively influences effective AI use. → Gao L 2026

Evidence

Gao L 2026

Gao L, Sun Y and Khan SU (2026) From enhancement to over-reliance: a mixed-method study of generative AI and sustainable learning performance. Front. Psychol. 17:1847369. https://doi.org/10.3389/fpsyg.2026.1847369

q3 · i? · associational · r?

PLS-SEM analysis of the three-wave matched sample (n = 623) tested the hypothesized structural paths; the abstract reports that critical AI evaluation "along with self-regulated learning, promotes effective AI use". No path coefficients are printed in the available text.

"The findings reveal that AI literacy significantly enhances critical AI evaluation, which, along with self-regulated learning, promotes effective AI use."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id srl-and-critical-evaluation-promote-effective-ai-use
title Self-regulated learning and critical AI evaluation promote effective AI use
description Self-regulated learning and critical AI evaluation promote effective AI use
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — gao-l-2026

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