Title: Exploring Drivers of ChatGPT Adoption among Vietnamese University Students
Authors: Nguyen Ngoc Quynh Anh
Volume: 9
Issue: 8
Pages: 192-200
Publication Date: 2025/08/28
Abstract:
This study exhaustively examines the determinants of university students' behavioral intention to utilize ChatGPT for learning, through the extension of the Technology Acceptance Model (TAM) via the integration of constructs from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) alongside empirical results on the frequency of past use, on top of basic demographic determinants. A large dataset was collected from 664 university students in Hanoi, Vietnam. Using reliability analysis, Exploratory Factor Analysis (EFA), and Structural Equation Modeling (SEM), the study validates the measures and strictly tests the hypothesized theoretical relationships. Key findings of the study are that perceived usefulness, perceived ease of use, and the frequency of prior ChatGPT use have a significant positive impact on students' behavioral intention. Unexpectedly, year, gender, and perceived risk did not have a significant effect on adoption intention. These results not only validate current TAM assumptions but also carry them further by providing empirical proof of AI tool adoption within the tertiary education sector of an emerging economy. The study has significant theoretical implications in its study of how the determinants interact with each other in a new setting and presents practical guidance to policymakers and teachers who are interested in achieving the greatest use of AI and adoptable technology in schools.