Perceived usefulness negatively moderates the relationship between academic self-efficacy and academic stress¶
Claim · All claims
Evidence · 1 study · associationalr?·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 interaction term ASE×PU significantly predicts academic stress (coefficient −0.1732, p = 0.0317), indicating the ASE–AS relation is negatively moderated by perceived usefulness. → Liu L 2026
q2 i? Perceived usefulness itself has a significant positive effect on academic stress (coefficient 0.2335, p = 0.0184). → Liu L 2026
Evidence¶
Liu L 2026¶
Liu L, Zhuang M and Wang J (2026). Are students dependent on AI in writing courses? Analyzing factors influencing dependence on generative AI through the I-PACE model. Front. Psychol. 17:1905037. https://doi.org/10.3389/fpsyg.2026.1905037
q2 · i? · associational · r?
SPSS moderation regression with standardized ASE, AS, and PU from the survey sample tested the ASE×PU interaction; the article reports the interaction coefficient as −0.1732 (p = 0.0317) and PU's main effect as 0.2335 (p = 0.0184), a "significant moderating effect". No standardized effect size is printed for this finding.
"the regression coefficient of the interaction term ASE∗PU on AS is−0.1732, with ap-value of 0.0317. This result indicates a significant moderating effect, suggesting that the relationship between ASE and AS is negatively moderatedbyPU."
Discussion¶
Related Claims¶
- Academic self-efficacy does not significantly predict academic stress, and social influence does not directly predict AI dependence — related
- Perceived usefulness is the strongest predictor of intention to use the contextual language learning app — related
- Self-efficacy does not significantly moderate the relationship between AI anxiety and career decisions — related
- Polychronicity moderates the relationships between effective AI use, AI over-reliance, and learning outcomes — related
- ANN analysis identifies AI learning self-efficacy and perceived usefulness as the strongest and most stable predictors of AI learning anxiety, with only modest advantage over linear benchmarks — related
- Perceived school support, AI learning self-efficacy, and AI perceived usefulness each show negative paths to AI learning anxiety — related
- Educational cross-sectional studies link stronger AI reliance or dependence scores with lower academic self-efficacy, higher academic stress, and stronger performance expectations — related
- Learners' perceived self-efficacy during learning moderated the effect of prompts on learning outcomes — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
perceived-usefulness-moderates-efficacy-stress |
title |
Perceived usefulness negatively moderates the relationship between academic self-efficacy and academic stress |
description |
Perceived usefulness negatively moderates the relationship between academic self-efficacy and academic stress |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — liu-l-2026 |
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