Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…

Aim/Purpose: This study investigates the key factors influencing preschool teachers' sustained use of Artificial Intelligence-Generated Content (AIGC) technology in educational settings. While prior research has extensively examined initial adoption, little attention has been given to understanding the continuous intention of preschool teachers…

Amid the ongoing discussion about the potential of LLMs (Large Language Models) to facilitate language learning, there has been a broad spectrum of views in academia. However, little is known about the different viewpoints of students and what contributes to these differences. In light of this, this study adopts Q-methodology, a mixed-methods…

While teachers' technology adoption has received increasing attention in the digital age, little effort has been made to examine ethnic minority English teachers' technology use. This study aims to unpack Chinese ethnic minority English teachers' technology adoption and examine factors that influence their intentions to use technology by employing…

Rapid technological advances can have an impact on personal, social and professional development. Implications for education include changes in the demand for knowledge and skills as well as expanding possibilities for teaching and learning.