Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…

Mobile social media are increasingly being used in education. They provide an effective way to address the imbalance between teaching supply and demand for older adults. However, few studies have investigated which factors contribute to older adults' intention to use mobile social media for learning. This study uses a sequential explanatory mixed…

The purpose of the study was to investigate factors that predict preservice teachers' intentions and actual uses of Web 2.0 tools in their classrooms. A two-phase, mixed method, sequential explanatory design was used. The first phase explored factors, based on the decomposed theory of planned behavior, that predict preservice teachers' intentions…

This study analyzed the relationships among factors predicting online university students' actual usage of a mobile learning management system (m-LMS) through a structural model. Data from 222 students in a Korean online university were collected to investigate integrated relationships among their perceived ease of use, perceived usefulness,…

Teachers are important social agents who affect students' cognitive and social behaviors, including students' self-directed use of technology for language learning outside the classroom. However, how teachers influence student behaviors may vary across cultures, and understanding how teacher influences vary across different cultures is critical to…