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Determinants of the Intention to Use ChatGPT in the Work of University Lecturers

Article Number: e2025053  |  Published Online: February 2025  |  DOI: 10.22521/edupij.2025.14.53

Hieu Hoang Nguyen , Na Le Pham , Trang Thu Nguyen , Chau Minh Mai

Abstract

Background/purpose. The introduction of ChatGPT has rapidly transformed various aspects of life. It has raised concerns about its impact on current jobs, especially in education. The study aims to examine the factors that may influence university lecturers’ intention to adopt ChatGPT in their work.

Materials/methods. This study uses the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model and proposes new components to examine the factors. The data was collected from 460 lecturers working in various universities in Hanoi, Vietnam.

Results. The results have identified that Performance Expectancy has the most significant positive impact, followed by Personal Innovativeness, Effort Expectancy, Social Influence, and Image. On the other hand, facilitating conditions and insecurity negatively affect the intention to use, while hedonic motivation has no impact. The results also highlight the moderating effect of Information Accuracy on the relationships between some of these factors and the Intention to Use.

Conclusion. The study extends the UTAUT2 model through the integration of novel constructs and provides insights into optimizing and enhancing the use of AI in the academic environment.

Keywords: ChatGPT, information accuracy, insecurity, intention to use, lecturers

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