AI dependency mediates the relationship between teacher support and learning burnout¶
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? The indirect effect of teacher support on learning burnout through AI dependency is significant, with the direct effect becoming non-significant (full mediation pattern). → Huang Q 2026
Evidence¶
Huang Q 2026¶
Huang Q, Tu S, Lin J, Lu L and Lv C (2026). The dark side of AI in education: AI dependency as a mediator linking academic self-efficacy and teacher support to learning burnout among university students. Front. Psychol. 17:1889053. https://doi.org/10.3389/fpsyg.2026.1889053
q2 · i? · associational · r2
PROCESS Model 4 mediation with 5,000 bootstrap resamples in the same survey. The indirect effect was "significant (indirect effect = −0.143"; the direct effect became non-significant, indicating full mediation. Proportion mediated was 71.5% (Table 7).
"the indirect effect of teacher support on learning burnout through AI dependency was also significant (indirect effect = −0.143, 95% CI [−0.221, −0.071]), with the bootstrap confidence interval excluding zero."
Discussion¶
Learner Variables¶
- Social Supports — predictor: learners who differ on it differ in outcomes
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-dependency-mediates-teacher-support-burnout |
title |
AI dependency mediates the relationship between teacher support and learning burnout |
description |
AI dependency mediates the relationship between teacher support and learning burnout |
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 — huang-q-2026 |
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