Claims

Academic self-efficacy is negatively associated with AI dependency among university students

Claim · All claims
Evidence · 1 study · associational r2 · q2 · i3 large
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.

q2 i3 Higher academic self-efficacy is associated with lower AI dependency (β = −0.424, p < 0.001). → 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 · i3 · associational · r2

Regression Model 1 in a cross-sectional online questionnaire study of 276 university students in Chengdu, China. Academic self-efficacy was "significantly and negatively associated with AI dependency" with β = −0.424, R2 = 0.180, f 2 = 0.220.

"Academic self-efficacy was significantly and negatively associated with AI dependency ( β = −0.424, p < 0.001, 95% CI [ −0.603, −0.359]), explaining 18.0% of the variance in AI dependency ( R2 = 0.180, f 2 = 0.220)."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id self-efficacy-negatively-associated-ai-dependency
title Academic self-efficacy is negatively associated with AI dependency among university students
description Academic self-efficacy is negatively associated with AI dependency among university students
status review
evidence_strength moderate
newest_evidence 2026
source_checked 2026-10-20
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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