Rethinking foreign language boredom in AI-assisted learning: the hidden roles of growth mindset, AI literacy, and AI self-efficacy
Wan Qin, Yanyan Chen, Hui Wang, Qiangwei Lu · 2026
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Description
Wan Qin and co-authors probe why students grow bored in AI-assisted English learning in a 2026 survey study. Boredom can drain drive and results, and a growth mindset is thought to soften it, but the path in AI settings was untested. The team followed 536 first-year university students in eastern China across three waves, two months apart.
Mindset was measured first, then AI literacy and confidence in using AI, and finally boredom. A growth mindset predicted stronger AI literacy and confidence, and both of those predicted less boredom, while mindset alone showed no direct link to boredom. AI literacy also fed confidence, forming a chain that teachers can build on by training skills, not just attitudes.
Catalog record
| CREATOR | Wan Qin, Yanyan Chen, Hui Wang, Qiangwei Lu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 63927 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |