Factors influencing international students’ adoption of generative artificial intelligence

The mediating role of perceived values and attitudes

Authors

  • Muhammad Ittefaq James Madison University, USA https://orcid.org/0000-0001-5334-7567
  • Ali Zain Arizona State University, USA
  • Rauf Arif Towson University, USA
  • Taufiq Ahmad University of Maryland, USA
  • Laeeq Khan Ohio University, USA
  • Hyunjin Seo University of Kansas, USA

DOI:

https://doi.org/10.32674/fnwdpn48

Keywords:

GenAI, international students, perceived value, TPB, VAM, TAM

Abstract

The present study examines the factors influencing international students’ intentions to use generative artificial intelligence (GenAI). Our results showed that attitude toward GenAI use, perceived ease of use, perceived usefulness, enjoyment, subjective norms, novelty, trust in technology, perceived value, and AI literacy were positively associated with intention to use GenAI. Fear of plagiarism had a negative relationship with intention to use GenAI. Our mediation analysis suggested that trust in technology, perceived ease of use, fear of plagiarism, perceived usefulness, and AI literacy indirectly influenced GenAI usage intention via attitude and perceived value, underscoring both the appeal and concerns of GenAI in learning. This study contributed to the TPB, VAM, and TAM frameworks by incorporating fear of plagiarism, trust in technology, and AI literacy to demonstrate how cognitive, affective, and value-based factors collectively influence the adoption of GenAI technologies among international students.

Author Biographies

  • Muhammad Ittefaq, James Madison University, USA

    Mohammad Ittefaq, Ph.D., is an assistant professor in the School of Communication Studies at James Madison University. His research examines into the ways in which people consume and interact with information through mainstream and social media, including how they interpret scientific messages, make decisions related to health and climate, and support policies related to science.

  • Ali Zain, Arizona State University, USA

    Ali Zain, Ph.D. is an assistant professor in strategic communication at the Walter Cronkite School of Journalism and Mass Communication at Arizona State University. His research is focused on studying strategic message features that drive public perception, engagement, and behavioral outcomes in a range of contexts including health and science communications, misinformation, information processing, and societal disparities. Email: me.alizain@gmail.com

  • Rauf Arif, Towson University, USA

    Rauf Arif, Ph.D., is an Assistant Professor of Journalism at Towson University, Maryland, USA, in the Department of Mass Communication. He studies artificial intelligence & society, social media and digital social movements, cross-cultural media practices, and how information & communication technologies are reshaping the dynamics of human communication. Email: rarif@towson.edu

  • Taufiq Ahmad, University of Maryland, USA

    TAUFIQ AHMAD, M.A. is a doctoral student in the Department of Communication at the University of Maryland. His research interests include AI, digital media, strategic communication, and crisis communication.

    Email: taufiq@umd.edu

  • Laeeq Khan, Ohio University, USA

    LAEEQ KHAN, Ph.D., is a Director of the Social Media Analytics Research Team (SMART) Lab and an Associate Professor at the Scripps College of Communication at Ohio University. Dr. Khan’s expertise is social media and analytics, with a focus on analyzing big data and social media for businesses, health communications, politics and a range of other areas where social media are employed. Email: khanm1@ohio.edu

  • Hyunjin Seo, University of Kansas, USA

    Hyunjin Seo, Ph.D., is the Oscar Stauffer Professor and Associate Dean for Research and Faculty Development in the William Allen White School of Journalism and Mass Communications at the University of Kansas, as well as the founding director of the KU Center for Digital Inclusion. Her research examines how social collaborative networks facilitated by digital communication technologies affect social change at local, national, and international levels. Email: hseo@ku.edu

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2025-07-02

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Vol. 15 No. 7 (2025): Journal of International Students

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Ittefaq, M., Zain, A. ., Arif, R., Ahmad, T. ., Khan, L., & Seo, H. (2025). Factors influencing international students’ adoption of generative artificial intelligence: The mediating role of perceived values and attitudes. Journal of International Students, 15(7), 127-154. https://doi.org/10.32674/fnwdpn48

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