Work

Needs Satisfaction Mediates the Relationships Between TPACK , Self‐Efficacy and Teachers' Willingness to Integrate Generative AI Into Higher Education Practices

Year: 2025

Type: article

Abstract: ABSTRACT The success of efforts to integrate generative AI (GenAI) into classrooms depends heavily on teachers' willingness to integrate the relevant technologies. However, few studies have examined the effect of perceived psychological needs satisfaction on teachers' willingness to integrate GenAI (WIAI). This study investigated the effect of perceived needs satisfaction according to self‐determination theory (SDT) on the relationships between technological pedagogical content knowledge (TPACK), self‐efficacy (SE) and WIAI among college teachers. Specifically, 1348 college teachers completed a comprehensive survey on the interconnectedness of TPACK, SE and SDT needs (autonomy, competence and relatedness) and their effects on WIAI. Structural equation modelling revealed that perceived SDT needs and SE directly affected WIAI. TPACK and SE significantly affected perceived SDT needs. The perceived SDT needs mediated the relationships of TPACK and SE with WIAI. These findings contribute to the literature of SDT, and provide practical recommendations for college administrators, tool developers and education researchers.

Source: European Journal of Education

DOI: 10.1111/ejed.70328

Authors: Qi Xia, Yiming Yang, Xiaojing Weng, Wing Kin Cheng, Thomas K. F. Chiu

Institutions: Zhejiang University, University of Science and Technology of China, Education University of Hong Kong, Hong Kong Metropolitan University, Chinese University of Hong Kong

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Estimated APC paid: $3,350