Perceived Competence, Intrinsic Motivation, and Psychological Safety each significantly positively predict Deep Revision Engagement¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2026 · checked against its sources 2026-10-16 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q3 i? PC (β = 0.218), IM (β = 0.448), and PS (β = 0.181) each significantly predict DRE. → Li 2026

Evidence¶

Li 2026¶

Li, H. and Zhang, W. (2026). Empowerment over enforcement: unpacking the psychological drivers of AI-assisted deep revision in EFL writing. Front. Psychol. 17:1871022. https://doi.org/10.3389/fpsyg.2026.1871022

q3 · i? · associational · r2

In the same PLS-SEM structural model (N = 327), Perceived Competence was also a significant positive predictor of Deep Revision Engagement (β = 0.218, t = 2.964, p = 0.003). f² was 0.251 for IM but "weak" (0.042) for PC and PS.

"Both Intrinsic Motivation ( β = 0.448, t = 6.765, p < 0.001) and Psychological Safety (β = 0.181, t = 2.633, p = 0.008) positively predict Deep Revision Engagement, as their respective corrected bias 95% CI did not include zero"

Discussion¶

Learner Variables¶

• Motivation — predictor: learners who differ on it differ in outcomes
• Self-Efficacy — predictor: learners who differ on it differ in outcomes
• Safety — predictor: learners who differ on it differ in outcomes

Related Claims¶

• Diagnostic Review revisions contained larger shares of meaning-change, organization, and content/argument work, while Control revisions remained more dependent on surface-level editing — the general claim this finding bears on, with the studies behind it
• AI Prompting Literacy is indirectly and significantly associated with Deep Revision Engagement through Perceived Competence, Intrinsic Motivation, and Psychological Safety — a broader claim this one bears on
• AI Prompting Literacy significantly positively predicts Perceived Competence, Intrinsic Motivation, and Psychological Safety among Chinese university EFL learners — related
• Self-determination theory holds that autonomy support raises intrinsic motivation, and a meta-analysis finds expected tangible rewards undermine it — a broader claim this one bears on
• Within SDT, intrinsic motivation predicts intended effort most strongly, followed by identified regulation, with introjected regulation much weaker — a broader claim this one bears on
• Perceived competence predicts autonomous motivation for AI use but not autonomy support for AI use — related
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• In agentic AI-supported online learning, perceived autonomy, competence, and relatedness are each positively associated with learning motivation — related
• Competence is the strongest independent psychological predictor of AI literacy performance, followed by autonomy; relatedness has no significant independent effect — related
• Autonomous motivation types positively relate to school achievement while controlled types show weak negative or null relations — related
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