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Generative AI acceptance and professional autonomy development among Chinese university physical education teachers:
Xiao Chen1, Qishun Yang2, Mingliang Song1
1School of Football, Wuhan Sports University, Wuhan, China.
Frontiers in Psychology
|August 5, 2026
Summary
Generative artificial intelligence (GenAI) acceptance positively impacts teacher professional autonomy development (PAD) in physical education. Teaching innovation and learning motivation act as key indirect links, while technology anxiety can diminish these positive effects.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Teacher Professional Development
Background:
- Generative artificial intelligence (GenAI) is increasingly integrated into educational settings.
- This integration reshapes teaching practices and teacher professional development.
- Understanding the impact of GenAI acceptance on teachers is crucial.
Purpose of the Study:
- To examine the association between GenAI acceptance and professional autonomy development (PAD) among university physical education teachers.
- To investigate the indirect roles of teaching innovation and learning motivation in this association.
- To explore the moderating effect of technology anxiety.
Main Methods:
- A pilot survey was conducted for item clarity and reliability.
- A main questionnaire survey involved 1,020 Chinese university physical education teachers.
- A moderated serial conditional process model (PROCESS Model 92) was estimated.
Main Results:
- GenAI acceptance showed a significant positive association with PAD (total effect = 0.563).
- Teaching innovation and learning motivation had significant indirect associations with PAD.
- Technology anxiety weakened the positive associations between GenAI acceptance and teaching innovation/learning motivation.
Conclusions:
- GenAI acceptance is positively linked to PAD in university physical education teachers.
- Teaching innovation and learning motivation are indirect correlates of this association.
- Technology anxiety may attenuate the positive impacts of GenAI acceptance on teaching innovation and motivation.