Key factors influencing intention to use ChatGPT: An empirical study of U.S. students

ChatGPT, a generative AI chatbot, has seen unprecedented adoption, yet the factors driving its acceptance among students remain underexplored. This study investigates key determinants of U.S. university students' intention to use ChatGPT in higher education. Drawing on the technology acceptance model, theory of reasoned action, and diffusion of innovation theory, survey data from 411 students were collected and analyzed using partial least squares structural equation modeling. The results indicate that perceived usefulness and subjective norm have significant positive effects on students' intention to use ChatGPT, and perceived ease of use and trust exert indirect effects through perceived usefulness. The model explains approximately 51 % of the variance in usage intention. As one of the first empirical studies on ChatGPT adoption in education, this research extends technology acceptance theories to generative AI and offers insights for theory and educational practice.

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Institutions

Publication Details

Journal
Acta Psychologica
Published
2025-09-01
DOI
https://doi.org/10.1016/j.actpsy.2025.105516
Citations
3
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
12.51
Controls
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article

Key factors influencing intention to use ChatGPT: An empirical study of U.S. students

Justin Bateh, Tim Klaus, Long K. Pham
3 citations
Acta Psychologica
Technology Adoption and User Behaviour
12.51
article

Key factors influencing intention to use ChatGPT: An empirical study of U.S. students

Justin Bateh, Tim Klaus, Long K. Pham
article en
3 citations

Abstract

ChatGPT, a generative AI chatbot, has seen unprecedented adoption, yet the factors driving its acceptance among students remain underexplored. This study investigates key determinants of U.S. university students' intention to use ChatGPT in higher education. Drawing on the technology acceptance model, theory of reasoned action, and diffusion of innovation theory, survey data from 411 students were collected and analyzed using partial least squares structural equation modeling. The results indicate that perceived usefulness and subjective norm have significant positive effects on students' intention to use ChatGPT, and perceived ease of use and trust exert indirect effects through perceived usefulness. The model explains approximately 51 % of the variance in usage intention. As one of the first empirical studies on ChatGPT adoption in education, this research extends technology acceptance theories to generative AI and offers insights for theory and educational practice.

Acta PsychologicaVol. 260
Florida State College at Jacksonville (US), Texas A&M University – Corpus Christi (US)
Openalex Percentile: Top 2%
Technology Adoption and User Behaviour
12.51
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