Factors Influencing ChatGPT Utilisation in Higher Education: A Proposed Empirical Study Based on the UTAUT Framework
DOI:
https://doi.org/10.66581/9ezd4636Keywords:
generative artificial intelligence, UTAUT, student adoption, academic integrity, ethical awarenessAbstract
To examine the effects of performance expectancy, effort expectancy, social influence, and facilitating conditions on university students’ behavioural intention to use and actual use of ChatGPT in higher education, while assessing the moderating role of ethical awareness. Methods: The proposed study adopts a quantitative cross-sectional survey design. Data will be collected from university students and analysed using structural equation modelling. Guided by the Unified Theory of Acceptance and Use of Technology, the model evaluates the technological, social, institutional, and ethical factors influencing students’ adoption and use of ChatGPT. Results: The proposed model suggests that students’ behavioural intention and actual use of ChatGPT are influenced by its perceived usefulness, ease of use, social influence, and the availability of institutional and technological support. Ethical awareness is expected to moderate these relationships because ChatGPT use may raise concerns related to academic integrity, plagiarism, overreliance, privacy, fairness, and reduced critical thinking. Conclusion: The study contributes to the literature by integrating technology acceptance with responsible AI use in higher education. It provides a framework for examining ChatGPT adoption patterns, students’ motivations for using the technology, and its implications for academic integrity, while offering practical guidance for universities, educators, and policymakers in developing AI literacy programmes and responsible-use policies.
References
Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N. A., Abazid, H., Malaeb, D., Mohammed, A. H., Hassan, B. A. R., Wayyes, A. M., & Farhan, S. S. (2024). A multinational study on the factors influencing university students' attitudes and usage of ChatGPT. Scientific Reports, 14(1), 1983. https://doi.org/10.1038/s41598-024-52549-8
Acosta-Enriquez, B. G., Arbulú Ballesteros, M. A., Arbulu Perez Vargas, C. G., Orellana Ulloa, M. N., Gutiérrez Ulloa, C. R., Pizarro Romero, J. M., Gutiérrez Jaramillo, N. D., Cuenca Orellana, H. U., Ayala Anzoátegui, D. X., & López Roca, C. (2024). Knowledge, attitudes, and perceived ethics regarding the use of ChatGPT among generation Z university students. International Journal for Educational Integrity, 20, Article 10. https://doi.org/10.1007/s40979-024-00157-4
Ali, D., Fatemi, Y., Boskabadi, E., Nikfar, M., Ugwuoke, J., & Ali, H. (2024). ChatGPT in teaching and learning: A systematic review. Education Sciences, 14(6), 643. https://doi.org/10.3390/educsci14060643
Alshammari, S. H., & Alshammari, M. H. (2024). Factors affecting the adoption and use of ChatGPT in higher education. International Journal of Information and Communication Technology Education, 20(1), 1-16.
Archibald, M. M., & Clark, A. M. (2023). ChatGPT: What is it and how can nursing and health science education use it? Journal of Advanced Nursing, 79(10), 3648-3651. https://doi.org/10.1111/jan.15643
Benard, K., Moses, K., Arina, S., Jackson, A., & Leslie, O. A. (2024). ChatGPT usage in academia: Extending the Unified Theory of Acceptance and Use of Technology with herd behavior. International Journal of Social Science and Human Research, 7(7), 5213-5227. https://doi.org/10.47191/ijsshr/v7-i07-69
Bouteraa, M., Bin-Nashwan, S. A., Al-Daihani, M., Dirie, K. A., Benlahcene, A., Sadallah, M., Zaki, H. O., Lada, S., Ansar, R., Fook, L. M., & Chekima, B. (2024). Understanding the diffusion of AI-generative ChatGPT in higher education: Does students' integrity matter? Computers in Human Behavior Reports, 14, 100402. https://doi.org/10.1016/j.chbr.2024.100402
Consuegra-Fernández, M., Sanz-Aznar, J., Burguera-Serra, J. G., & Caballero Molina, J. J. (2024). ChatGPT: The dilemma of the authorship of graded assignments in higher education. Revista de Investigación Educativa, 42(2). https://doi.org/10.6018/rie.565391
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148
Fecher, B., Hebing, M., Laufer, M., Pohle, J., & Sofsky, F. (2023). Friend or foe? Exploring the implications of large language models on the science system. AI & Society. Advance online publication. https://doi.org/10.1007/s00146-023-01791-1
GC, S. B., & Bhatta, K. D. (2024). Examining the role of social influence, learning value and habit in students' intention to use ChatGPT: The moderating effect of information accuracy. Cogent Education, 11(1), 2403287. https://doi.org/10.1080/2331186X.2024.2403287
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kim, T. W. (2023). Application of artificial intelligence chatbots, including ChatGPT, in education, scholarly work, programming, and content generation and its prospects: A narrative review. Journal of Educational Evaluation for Health Professions, 20, Article 38. https://doi.org/10.3352/jeehp.2023.20.38
Li, M., Enkhtur, A., Cheng, F., & Yamamoto, B. A. (2023). Ethical implications of ChatGPT in higher education: A scoping review. arXiv. https://arxiv.org/abs/2311.14378
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9
Sandu, R., Gide, E., & Elkhodr, M. (2024). The role and impact of ChatGPT in educational practices: Insights from an Australian higher education case study. Discover Education, 3, Article 71.
Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students' acceptance and use of technology. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2023.2209881
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
Wang, H., Dang, A., Wu, Z., & Mac, S. (2023). Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines. arXiv. https://arxiv.org/abs/2312.05235
Yan, L., Sha, L., Zhao, L., Li, Y., Martinez-Maldonado, R., Chen, G., Li, X., Jin, Y., & Gašević, D. (2023). Practical and ethical challenges of large language models in education: A systematic scoping review. arXiv. https://arxiv.org/abs/2303.13379
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Copyright (c) 2026 Naga Thevan Mano Karan, Muhammad Hassan Arshad, Saralah Devi Mariamdaran Chethiyar, Revathi Munirathinam (Author)
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