Ding Lai-Jian, Li Jia-Min, Hui Bei-He
Department of Physical Education, Zhejiang Sci-Tech University, Hangzhou 310018, China.
School of Business Administration, Northeastern University, Shenyang 110819, China.
Behav Sci (Basel). 2025 Jun 26;15(7):866. doi: 10.3390/bs15070866.
Against the backdrop of the widespread integration of Artificial Intelligence (AI) into educational practices, collaboration between teachers and AI is profoundly influencing teaching behavior. Drawing on the Conservation of Resources Theory, this study constructs and tests a model examining the impact of teacher-AI collaboration on teaching engagement, with a focus on the mediating role of technological self-efficacy and the moderating role of perceived organizational support. Based on empirical data collected through a survey in China, the results reveal that teacher-AI collaboration significantly and positively predicts teaching engagement. Furthermore, technological self-efficacy mediates this relationship, suggesting that AI collaboration enhances teaching engagement by boosting teachers' confidence in using technology. In addition, perceived organizational support positively moderates the effect of teacher-AI collaboration on technological self-efficacy, forming a moderated mediation model. This research enriches the understanding of teacher behavior in the context of AI integration and offers practical implications for educational institutions seeking to optimize AI adoption strategies and enhance teacher motivation.
在人工智能(AI)广泛融入教育实践的背景下,教师与人工智能之间的合作正在深刻影响教学行为。本研究借鉴资源保存理论,构建并检验了一个模型,以考察教师与人工智能合作对教学投入的影响,重点关注技术自我效能感的中介作用和感知组织支持的调节作用。基于在中国进行的一项调查所收集的实证数据,结果表明教师与人工智能的合作显著且正向地预测教学投入。此外,技术自我效能感在这种关系中起中介作用,这表明人工智能合作通过增强教师使用技术的信心来提高教学投入。此外,感知组织支持正向调节教师与人工智能合作对技术自我效能感的影响,形成了一个有调节的中介模型。本研究丰富了对人工智能融入背景下教师行为的理解,并为寻求优化人工智能采用策略和提高教师积极性的教育机构提供了实际启示。