Deep Integration of AI and TPACK: Reconstruction of Teachers’ Knowledge Structure in the Post-pandemic Era

Abstract

The development of artificial intelligence (AI) technology has brought an unprecedented intelligent reform to teaching, and the COVID-19 pandemic has provided an opportunity for online and offline hybrid teaching mode. During the pandemic prevention and control period, the application of AI technology has brought about subversive changes in teaching methods, teaching content and teaching environment. This is the result of continuous adjustment in teaching practice in schools around the world, and will be a new characterization of teaching practice in the future. The social crisis caused by COVID-19 requires teachers to adjust their knowledge structure accordingly. Based on the new requirements for teachers in the era of AI and the traditional Technological Pedagogical Content Knowledge (TPACK) theory, this paper puts forward a new idea to reconstruct teachers’ knowledge structure by deep integration of AI and TPACK. This study studies how teachers should change their knowledge structure from the four dimensions of Pedagogical Content Knowledge (PCK), Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK) and TPACK, and puts forward suggestions for the intelligent development of education, in order to provide new theoretical support for teachers’ career development in the Post-pandemic era.