Research on the Reconstruction of University Teachers' AI-TPACK Competence Framework in the Context of Digital Transformation

Abstract

This paper investigates the theoretical problems that digital transformation poses for the professional knowledge and abilities of university teachers, and also studies the application limits of the traditional TPACK model in the era of intelligent technology. According to the explanation of the educational implications of digital transformation, this paper traces the academic lineage of AI-TPACK, puts forward framework elements for intelligent technology integration, reveals the endogenous evolution of technological knowledge, structural adjustment of pedagogical knowledge, and the integration dimension of human-machine collaboration. The AI-TPACK competence framework proposed in this paper has two dimensions: hierarchy and generation mechanism; the components, transformation process and changes will be discussed in this paper, and an evaluation index system for index screening, connotation definition and weight assignment will be developed. The goal of this paper is to provide an organised theoretical foundation for the development of university teachers' knowledge and abilities in the intelligent era, and to promote an important shift in the direction of teacher knowledge research from technology integration to human-machine collaboration.