AI self-efficacy and self-regulated learning mediate the support–competence associations in opposite patterns for the two supports¶
Claim · All claims
Evidence · 1 study · associationalr?·q2
Currency · newest study 2026 · checked against its sources 2026-10-17 (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.
q2 i? Under AI technological support, AI self-efficacy showed a larger mediating association than self-regulated learning; under intelligent environment support, the opposite pattern emerged. → Liu Xu 2026
Evidence¶
Liu Xu 2026¶
Liu Xu, Zhang Meiqi, Du Jiaoyang. (2026). Pre-Service Teachers' Perceptions of AI Technological Support and School-Based Intelligent Environment Support: Model-Based Indirect Associations with Innovative Competence via AI Self-Efficacy and Self-Regulated Learning. Behavioral Sciences. https://doi.org/10.3390/bs16081378
q2 · i? · associational · r?
Model-based indirect associations tested via bias-corrected percentile Bootstrap in the SEM on 3003 pre-service teachers, as summarized in the article's abstract. Both mediators were significant under both supports, with the reported crossover pattern; no effect size for the indirect paths is quoted here.
"AI self-efficacy and self-regulated learning both showed significant model-based indirect associations linking the two supports with innovative competence. Specifically, under AI technological support, AI self-efficacy had a larger mediating association than self-regulated learning; under intelligent environment support, the opposite pattern emerged."
Discussion¶
Learner Variables¶
- Self-Regulation — predictor: learners who differ on it differ in outcomes
- Self-Efficacy — predictor: learners who differ on it differ in outcomes
Related Claims¶
- In the structural equation model, both supports directly predict innovative competence and strongly predict the mediators — related
- AI technological support is positively associated with innovative competence at all quantiles, with stronger associations at medium-to-high competence levels — related
- Social and organizational support relate to AI well-being indirectly through AI literacy and technological self-efficacy — related
- School-based intelligent environment support shows an inverted U-shaped quantile pattern, stronger at lower-to-middle competence levels — related
- GenAI can support learner agency through self-regulated learning, self-efficacy, and feedback literacy under appropriate conditions — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
dual-mediation-ai-efficacy-srl-opposite-patterns |
title |
AI self-efficacy and self-regulated learning mediate the support–competence associations in opposite patterns for the two supports |
description |
AI self-efficacy and self-regulated learning mediate the support–competence associations in opposite patterns for the two supports |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-17 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — liu-xu-2026 |
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