Learning motivation is positively associated with acceptance outcomes for AI-assisted English learning tools in adjusted regression models¶
Claim · All claims
Evidence · 1 study · associationalr2·q2·i3large
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 i3 In full-sample adjusted OLS models of 210 undergraduates, learning motivation showed statistically significant positive associations with perceived usefulness, ease of use, behavioral intention, and satisfaction (all p < 0.001). → Wu J 2026
Evidence¶
Wu J 2026¶
Wu J, Wang Y, He Y, Yin X, Chen F and Wan B (2026) Acceptance of AI-assisted English language learning tools in higher education: psychological correlates across disciplinary and proficiency groups. Front. Psychol. 17:1806457. https://doi.org/10.3389/fpsyg.2026.1806457
q2 · i3 · associational · r2
Full-sample adjusted OLS regression (Table 4) predicting satisfaction from learning motivation, adjusted for gender, discipline, CET-4 score, and use frequency, with robust standard errors. The model reports a standardized coefficient of β = 0.810, adjusted R2 of 0.671, and N = 210; all four motivation models were significant at p < 0.001.
"Learning motivation 0.674 0.035 0.810 [0.605, 0.743] <0.001 0.680 0.671 2.131 210"
Discussion¶
Related Claims¶
- Anxiety shows positive concurrent associations with acceptance outcomes for AI-assisted English learning, and should not be read as uniformly negative or beneficial — related
- Humanities students report higher perceived usefulness, ease of use, and behavioral intention for AI-assisted English tools than STEM students, with small effect sizes — related
- Self-efficacy is positively associated with acceptance outcomes for AI-assisted English learning tools in adjusted regression models — related
- Overall L2 motivation is a significant positive predictor of L2 self-efficacy among Iranian EFL learners — related
- Risk perception is positively but more weakly associated with acceptance outcomes for AI-assisted English learning, with cautious interpretation warranted — related
- Acceptance scores are broadly held across learner characteristics, with frequency of use the only significant and weak predictor — related
- School-side support (teacher, instructional, and institutional provision) is associated with learners' motivation, engagement, and need satisfaction — related
- Hedonic motivation and habit were the strongest predictors of behavioral intention, and habit also substantially predicted use behavior — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
learning-motivation-positive-ai-english-acceptance |
title |
Learning motivation is positively associated with acceptance outcomes for AI-assisted English learning tools in adjusted regression models |
description |
Learning motivation is positively associated with acceptance outcomes for AI-assisted English learning tools in adjusted regression models |
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 — wu-j-2026 |
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