Understanding art and design teachers’ willingness to adopt artificial intelligence in teaching under resource constraints: a mixed-methods study on perceived usefulness, resource readiness, and creativity-related concerns
Shu Chen, Xizhen Li, Xiaoting Liu, Jiaxin Wu, Wenhao Cheng · 2026
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Description
Shu Chen and co-authors ask what makes art and design teachers willing to use AI in class. Standard adoption models stress ease and usefulness. In creative fields, worries about originality and skill loss may matter as much. The team surveyed over a hundred teachers and talked with a smaller group in depth.
Several classic paths held: ease fed usefulness, and usefulness and attitude fed intent. One path flipped sign, with ease linked to worse attitude. Readiness of resources helped ease but not usefulness. Talks surfaced fears of shortcuts, copy theft, and weak rules. The authors say adoption in creative teaching turns on craft values, not just function.
Catalog record
| CREATOR | Shu Chen, Xizhen Li, Xiaoting Liu, Jiaxin Wu, Wenhao Cheng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 74 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |