Abstract:

This study aims to identify the determinants affecting the intention of Saudi university students to use generative AI technologies, particularly ChatGPT, in academic contexts. The research incorporates its constructs from TAM, UTAUT2, TPB, and DOI. Data was collected from 213 university students using an online survey, then assessed through Structural Equation Modeling. The results showed that Perceived Behavioral Control, Perceived Credibility, and Social Influence serve as significant predictors of students’ intention to use ChatGPT, while Performance Expectancy, Relative Advantage, and Attitude were not significant predictors. Furthermore, intentions strongly predicted actual usage behavior. The results underscore the critical roles of trust, self-efficacy, and social support in facilitating the adoption of AI technologies in Saudi Universities. This study enhances the theoretical framework of AI adoption and provides actionable insights for universities seeking to implement AI tools responsibly and effectively. Subsequent research could explore non-significant variables through qualitative inquiry and assess temporal shifts in usage through longitudinal analysis.