Empowering Teacher Professional Development with Artificial Intelligence:A Theoretical Model and Practical Directions
Empowering teacher professional development(TPD)with Artificial Intelligence(AI)has emerged as an important issue in contemporary education reform.However,current practice of promoting TPD with AI face significant challenges in terms of cognition,behavior and environment.Existing models of teacher professional development are predominantly exogenous,often lacking the perspective of teacher subjectivity.In order to realize the advancement of TPD,AI should function as an empowering factor by leveraging intelligent technologies to identify the development stage of a teacher,reduce or eliminate various impediments across these stages,and reach the conditions necessary for the next development stage.This study introduces an AI-empowered Teacher Professional Development(AIeTPD)model,which integrates AI into the existing TPD stage model from the perspective of teacher subjectivity.The AIeTPD model is characterized by its ability to provide customizable development plans,adaptive development processes and evaluable development outcomes.It supports diverse application scenarios,including diagnostic learning prediction,personalized online learning,blended intelligent training,interactive virtual teaching and research,twin hybrid classroom,intelligent teaching feedback and holistic teacher evaluation,through three paths:teacher learning,intelligent training and pedagogical innovation.It can also facilitate the stage evolution of TPD and reshape the teacher's roles as learner,co-learner and facilitator,thus supporting the massive and personalized professional development of teachers in the digital age.
Artificial IntelligenceTeacher Professional DevelopmentAIeTPD ModelPractical Scenarios
NETL
NSTL
万方数据
