Predictors of High School Students’ Intentions and Behaviors in Using AI Learning Tools: An Extended Theory of Planned Behavior Approach
Ziqi Zhang, Fuhai An · 2026
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Description
Ziqi Zhang and Fuhai An surveyed in 2026 five hundred thirteen high school students in Hangzhou about why they use AI learning tools. They fitted the answers to an extended theory of planned behavior. Feelings about the tools were split into liking and usefulness, and AI anxiety was added as its own predictor. Intentions and three kinds of actual use were measured.
Liking, usefulness, peer norms, and felt control all fed the intention to use the tools. Anxiety did not touch intention at all. Yet anxiety clearly damped behavior: the more anxious students sought less AI help, checked its answers less, and applied its output less. The authors say anxiety works on engagement, not on plans. Schools, they suggest, should coach hands-on confidence, not just approval.
Catalog record
| CREATOR | Ziqi Zhang, Fuhai An |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |