An Investigation Into Turkish University Students' Acceptance of ChatGPT in Education

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Abstract
This study aimed to examine the factors influencing university students' acceptance of ChatGPT in education. The research is grounded in the unified theory of acceptance and use of technology (UTAUT), which includes performance expectancy, effort expectancy, social influence, and facilitating conditions as key factors. The study was conducted at a state university in Turkey with a total of 208 student participants. Structural equation modelling (SEM) analysis was utilized to explore the relationships among these factors and the students' behavioral intention to use ChatGPT in their education. The findings revealed that performance expectancy and effort expectancy were positively associated with students' intention to use the ChatGPT system. Yet, social influence and facilitating conditions did not show a significant relationship with students' acceptance of the ChatGPT system.

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