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Will Teacher-AI Collaboration Enhance Teaching Engagement?
Lai-Jian Ding1, Jia-Min Li2, Bei-He Hui1
1Department of Physical Education, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Behavioral Sciences (Basel, Switzerland)
|July 29, 2025
Summary
Teacher-AI collaboration boosts teaching engagement by enhancing technological self-efficacy. Perceived organizational support further strengthens this link, optimizing AI integration in education.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Teacher Professional Development
Background:
- Widespread integration of Artificial Intelligence (AI) into educational settings.
- Profound influence of AI on teaching behavior and practices.
- Need to understand teacher-AI collaboration dynamics.
Purpose of the Study:
- To examine the impact of teacher-AI collaboration on teaching engagement.
- To investigate the mediating role of technological self-efficacy.
- To explore the moderating role of perceived organizational support.
Main Methods:
- Utilized the Conservation of Resources Theory framework.
- Collected empirical data through a survey in China.
- Tested a moderated mediation model.
Main Results:
- Teacher-AI collaboration positively predicts teaching engagement.
- Technological self-efficacy mediates the relationship between teacher-AI collaboration and engagement.
- Perceived organizational support moderates the effect on technological self-efficacy.
Conclusions:
- AI collaboration enhances teaching engagement via increased teacher confidence.
- Organizational support is crucial for maximizing AI's positive impact on teachers.
- Findings offer practical insights for optimizing AI adoption in educational institutions.
Keywords:
conservation of resources theoryperceived organizational supportteacher-AI collaborationteaching engagementtechnological self-efficacyMore Related Videos
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