AI literacy directly and positively predicts learning engagement among university students¶
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? AI literacy has a statistically significant positive direct effect on learning engagement (β = 0.668, p < 0.001), with the model explaining R² = 0.446 of engagement variance. → Wang 2026
Evidence¶
Wang 2026¶
Wang, N. (2026). The impact of artificial intelligence literacy on learning engagement among university students: the mediating role of psychological capital and the moderating role of professional identity. Frontiers in Psychology, 17:1892204. https://doi.org/10.3389/fpsyg.2026.1892204
q2 · i? · associational · r2
PLS-SEM path analysis of cross-sectional questionnaire data from 1,198 undergraduates at four Zhengzhou universities. The direct path "was β = 0.668 ( p < 0.001), demonstrating that this effect was statistically significant", and the model's coefficient of determination was R2 = 0.446.
"The standardized path coefficient from artificial intelligence literacy to learning engagement was β = 0.668 ( p < 0.001), demonstrating that this effect was statistically significant. Thus, Hypothesis 1 was supported."
Discussion¶
Related Claims¶
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- AI literacy has a significant direct effect on academic performance among non-STEM students (β = .222, p = .001) — related
- The indirect effect of AI literacy on engagement via psychological capital strengthens as professional commitment rises (moderated mediation) — related
- AI Prompting Literacy significantly positively predicts Perceived Competence, Intrinsic Motivation, and Psychological Safety among Chinese university EFL learners — related
- Technology acceptance directly predicts reflective AI use and learning engagement in AI-supported programming (survey SEM, N=131) — related
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- Teacher support directly and positively predicts learning engagement in AI-assisted English learning — related
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- Professional commitment is essentially uncorrelated with AI literacy and shows no significant bivariate correlation with learning engagement — related
- Teacher–AI collaboration is positively related to university teachers' work engagement — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-literacy-predicts-learning-engagement |
title |
AI literacy directly and positively predicts learning engagement among university students |
description |
AI literacy directly and positively predicts learning engagement among university students |
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 — wang-2026 |
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