Decoding Acceptance through Technology Acceptance Model: A Descriptive Study of ChatGPT Usage Across Academic Disciplines

This study applies the Technology Acceptance Model (TAM) to explore students’ perceptions of ChatGPT’s usability across different academic disciplines. Using a stratified sample of university students, this research investigates variations in acceptance and identifies factors influencing usability perceptions. The findings reveal significant disciplinary differences, with students in computer-related fields showing the highest acceptance of ChatGPT. These insights underscore the importance of considering disciplinary contexts when integrating AI into educational frameworks. This paper demonstrates the utility of TAM in understanding AI adoption in higher education and provides actionable recommendations for leveraging AI tools like ChatGPT to enhance learning outcomes.