UTAUT2 and Nonjudgmental Expectancy (NE) Model Insights into ChatGPT Adoption among College Students for Academic Use

Abstract

The acceptance and use of digital technology is growing rapidly in various fields of science. Education as one of the fields that has undergone a significant transformation in adopting various technologies that affect the process of learning, teaching, and managing education as a whole. One of the new technologies that dominates at this time is Artificial Intelligence (AI) in the form of ChatGPT which is widely adopted by students. This study aims to determine how the acceptance and use of ChatGPT technology among students for academic use. Researchers used the UTAUT 2 model with the addition of the Nonjudgmental Expectancy (NE) variable as an additional variable to predict Behavioral Intention (BI) in adopting ChatGPT. This research method uses a survey technique in the form of a questionnaire to 54 respondents of S1, S2, and S3 students as a nonprobability sample of 101 students as a total of all respondents. Processing of research data using SPSS to determine the magnitude of the influence of 6 variables on Behavioral Intention (BI) through multiple regression analysis testing. The results showed that all variables in the UTAUT model had a simultaneous effect of 69.0%. Performance Expectancy (PE) and Habit (H) variables have a significant effect, while Nonjudgmental Expectancy (NE) has no significant effect on Behavioral Intention (BI). Insight into the influence of the variables in the UTAUT 2 model can be a motivation in the development and acceptance of new technologies such as ChatGPT.