The rapid advancement of Generative Artificial Intelligence (GAI) has greatly influenced its adoption in various fields, particularly education. This study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore factors shaping the willingness of vocational and college-level information technology students to use GAI for learning specialized subjects. Conducted with 115 information technology students in Khanh Hoa province, Vietnam, the research focuses on four key factors: performance expectancy, effort expectancy, social influence, and facilitating conditions. The findings reveal that performance expectancy, social influence, and facilitating conditions play significant roles in positively influencing students' acceptance of GAI. These results highlight the potential of GAI as a transformative educational tool, emphasizing the need to integrate technology into teaching practices and foster an environment that supports its effective implementation in education.
Tran et al. (Mon,) studied this question.