ObjectiveThe rapid integration of generative artificial intelligence (GenAI) into educational contexts has prompted significant attention to teachers' psychological responses and cognitive mechanisms as users of AI in teaching. While existing studies often focus on linear models that examine the net effects of single factors on technology acceptance, there is a lack of research exploring the complex psychological mechanisms behind teachers' GenAI use behaviors from a multi-factorial perspective.
Psychological responses and cognitive mechanisms of university teachers in using generative AI in teaching: a configurational path analysis based on the MOA framework
Shanying Li
