Exploring Teachers’ Integration of Generative AI: A Case Study of Processes and Influencing Factors

• In Event: AERA Poster Session Saturday 7:45 am
  In Poster Session: From Adoption to Transformation: AI Integration, Critical Pedagogy, and Sustaining Futures in Teacher Preparation

Abstract

How schoolteachers integrate generative artificial intelligence (GenAI) into their teaching remains underexplored. This case study of 22 teachers from Guangdong delineates four GenAI user types, i.e., cautious adapters, efficiency enhancers, technology enthusiasts, and pedagogical innovators; groups teachers’ GenAI integration into five levels, from low to high; and examines how transformation of GenAI integration is influenced by individual, technological, and environmental factors. These findings extend the Substitution, Augmentation, Modification, and Redefinition (SAMR) model into PSAMR – the “P” stands for “Prohibition” – emphasizing GenAI’s dynamic, controversial nature. They also indicate that, during integration, educators should focus more on human factors than on tools’ functionalities.

Authors

• Zicong Song, The University of Hong Kong

• Jingjing Qin, University of Hong Kong

• Fangzhou Jin, The University of Hong Kong

• Wai Ming Cheung, University of Hong Kong

• Chin-Hsi Lin, University of Hong Kong