Evaluating University Students’ Acceptance of ChatGPT Using UTAUT2: Evidence from an Indonesian Computer Science Faculty
Keywords:
ChatGPT, Generative AI, Technology Acceptance, UTAUT2, PLS-SEM, Higher Education, IndonesiaAbstract
This study examines determinants of students’ behavioural intention to use ChatGPT in higher education by applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) within an Indonesian computer science faculty. A cross sectional survey was administered to 100 undergraduate students, and the structural relationships were assessed using partial least squares structural equation modelling. The results indicate that performance expectancy, effort expectancy, social influence, hedonic motivation, and habit are significant predictors of intention to use ChatGPT, whereas facilitating conditions and perceived price value are not significant. The findings contribute empirical evidence for understanding generative AI adoption in Indonesian higher education and suggest that universities should focus on task relevance, ease of use, responsible enjoyment, and habitual integration supported by academic integrity guidance and pedagogical scaffolding
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