人智协同视域下的职前教师跨学科教学能力发展模型构建与应用研究OA

Pre-service teachers'interdisciplinary teaching competence,as an important component of professional competence in the artificial intelligence era,has received extensive attention in the field of educational research.However,present training practice are still in the exploratory stage,facing problems such as unclear collaboration mechanism,restrictive development pathways,and superficial technological integration.With its characteristics of intelligence augmentation and interactive co-creation,human-AI collaboration offers new ideas for the development of interdisciplinary teaching competence.On this basis,this paper first reviews the research status of human-AI collaboration and the development model of pre-service teachers'interdisciplinary teaching competence from the perspective of human-AI collaboration(I-TCAD).Finally,it conducts an empirical analysis of 2,148 multimodal interaction data items from three rounds of discussion among 10 pre-service teachers using SNA and pMineR methods.The results show that this model can reveal network structure and behavioral sequence features in human-AI collaboration and promote the dynamic development of pre-service teachers'interdisciplinary teaching competence.This study aims to provide a theoretical model and practical paths for the systematic cultivation of pre-service teachers'interdisciplinary teaching competence in the intelligent era.