Students’ Perceptions Towards Usage of ChatGPT among University Students

Haslindar Binti Ibrahim; Rudresh Pandey; Nureen Waheda binti Mohd Nazdir; Nureen Mirza binti Taharazwan; Riya Gupta; Nurazra Zafirah binti Suhaimi; Nurin Qasrina binti Nordin; Daisy Mui Hung Kee

doi:10.32535/apjme.v9i2.4737

Students’ Perceptions Towards Usage of ChatGPT among University Students

Haslindar Binti Ibrahim, Rudresh Pandey, Nureen Waheda binti Mohd Nazdir, Nureen Mirza binti Taharazwan, Riya Gupta, Nurazra Zafirah binti Suhaimi, Nurin Qasrina binti Nordin, Daisy Mui Hung Kee

Abstract

This study aims to explore students' perceptions towards usage of ChatGPT in higher education, focusing on how different aspects of the tool influence their attitudes and engagement. The independent variable consists of seven aspects of ChatGPT, which are capabilities, regulations and ethical concerns, satisfaction and attitude, study issues and outcomes, skills development, labor market and skill mismatch, and emotions, while the dependent variable is the overall usage of ChatGPT among university students. A quantitative research method was adopted using an online survey distributed through Google Forms to collect data from university students. The findings indicate that most students hold positive perceptions towards ChatGPT, viewing it as a useful tool for enhancing learning efficiency, developing new skills, and supporting academic tasks. However, some concerns remain regarding ethical use and overreliance on AI-generated content. The study concludes that ChatGPT has significant potential to complement traditional learning methods, provided it is used responsibly. The findings offer valuable implications for educators and policymakers in integrating AI tools effectively into educational settings.

Keywords

Artificial Intelligence; ChatGPT; Education; Ethical Concerns; Perception; Skills Development; Students

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References

Bajaj, S., Raikes, A., Smith, R., Dailey, N. S., Alkozei, A., Vanuk, J. R., & Killgore, W. D. (2018). The relationship between general intelligence and cortical structure in healthy individuals. Neuroscience, 388, 36-44. https://doi.org/10.1016/j.neuroscience.2018.07.008

Banerjee, P., Mondal, P., & Mandal, J. (2024). Beyond the averages: Gender differences and similarities in IQ and cognitive skills. In H. K. Yadav, P. K.Yadav, J. Gautam, & S. K. Yadav (Eds.), Perspectives in Education Curriculum and Pedagogy (pp. 117-132). https://doi.org/10.25215/9358796251.10

Creswell, J. W. (2021). A Concise Introduction to Mixed Methods Research (2nd ed.). SAGE Publications Inc.

Deary, I. J. (2020). Are there sex differences in intelligence?. In Intelligence: A Very Short Introduction (2nd ed., pp. 39). Oxford Academic. https://doi.org/10.1093/actrade/9780198796206.003.0003

Debatin, T. (2019). A revised mental energy hypothesis of the g factor in light of recent neuroscience. Review of General Psychology, 23(2), 201-210. https://doi.org/10.1177/1089268019832846

Blahopoulou, J., & Ortiz-Bonnin, S. (2025). Student perceptions of ChatGPT: benefits, costs, and attitudinal differences between users and non-users toward AI integration in higher education. Education and Information Technologies. https://doi.org/10.1007/s10639-025-13575-9

Chen, L., Chen, X., Wu, S., Yang, Y., Chang, M., & Zhu, H. (2023). The Future of ChatGPT-enabled Labor Market: A Preliminary Study. https://doi.org/10.48550/arxiv.2304.09823

D, J., Srinivasan, M., Dhanunjay, G. S., & Shamala, R. (2023). UNVEILING STUDENT MOTIVATIONS: A STUDY OF CHATGPT USAGE IN EDUCATION. ShodhKosh: Journal of Visual and Performing Arts, 4(2), 65–73. https://doi.org/10.29121/shodhkosh.v4.i2.2023.503

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. (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

Limna, P., Kraiwanit, T., & Jangjarat, K. (2023). Adopting the Technology Acceptance Model (TAM) to Explore Online Purchase Intention via Facebook Live Streaming: Empirical Evidence from Bangkok, Thailand. AJMI - ASEAN Journal of Management and Innovation, 10(1), 1–13. https://ajmi.stamford.edu/index.php/ajmi/article/view/385

Marjan Ajevski, Barker, K., Gilbert, A., Hardie, L., & Ryan, F. (2023). ChatGPT and the future of legal education and practice. THE LAW TEACHER, 57(3), 1–13. https://doi.org/10.1080/03069400.2023.2207426

Neumann, M., Rauschenberger, M., & Schön, E.-M. (2023, May 1). “We Need To Talk About ChatGPT”: The Future of AI and Higher Education. IEEE Xplore. https://doi.org/10.1109/SEENG59157.2023.00010

Ravšelj, D., Kerži?, D., Tomaževi?, N., Umek, L., Brezovar, N., A. Iahad, N., Abdulla, A. A., Akopyan, A., Aldana Segura, M. W., AlHumaid, J., Allam, M. F., Alló, M., Andoh, R. P. K., Andronic, O., Arthur, Y. D., Ayd?n, F., Badran, A., Balbontín-Alvarado, R., Ben Saad, H., & Bencsik, A. (2025). Higher education students’ perceptions of ChatGPT: A global study of early reactions. PLOS ONE, 20(2), e0315011.

https://doi.org/10.1371/journal.pone.0315011

Romero Martínez, S. J., Ordóñez-Camacho, X. G., Guillen-Gamez, F. D., & Bravo Agapito, J. (2020). Attitudes towards technology among distance education students: Validation of an explanatory model. Online Learning, 24(2). https://doi.org/10.24059/olj.v24i2.2028

Soumya Ranjan Das, & Madhusudan J.V. (2024). Perceptions of Higher Education Students towards ChatGPT Usage. International Journal of Technology in Education, 7(1), 86–106.

https://doi.org/10.46328/ijte.583

von Garrel, J., & Mayer, J. (2023). Artificial Intelligence in studies—use of ChatGPT and AI-based tools among students in Germany. Humanities and Social Sciences Communications, 10(1), 1–9.

https://doi.org/10.1057/s41599-023-02304-7

Wartman, S. A., & Combs, C. D. (2018). Medical Education Must Move From the Information Age to the Age of Artificial Intelligence. Academic Medicine, 93(8), 1107–1109.

https://doi.org/10.1097/acm.0000000000002044

DOI: https://doi.org/10.32535/apjme.v9i2.4737

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