Exploring student adoption of ChatGPT: an extended UTAUT2 framework analysis using structural equation modeling

Abstract

Purpose This study aims to highlight the factors impacting the adoption intention and adoption behavior of ChatGPT by students in Indian higher education, utilizing the Unified Theory of Acceptance and Use of Technology (extended UTAUT2) model. Design/methodology/approach A quantitative study adopting a cross-sectional survey was utilized to gather data online from 402 students from various Indian universities. The data has been analysed using the structural equation modelling technique AMOS 23. Findings The result revealed that adoption intention is positively influenced by extended UTAUT2 variables. Further, adoption behaviour of ChatGPT is positively influenced by adoption intention. Practical implications The study has implications for students, HEIs administrators, teachers and policy makers. Originality/value In contrast to previous studies, the current study fills the empirical and knowledge gap taking into consideration the extended UTAUT2 and ChatGPT usage and adoption by students in the Indian higher education sector and desired research findings do not exist in view of utilizing extended UTAUT2 for assessing AI-based model ChatGPT adoption behavior by students.

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