Use of Artificial Intelligence Tools and Academic Performance of Undergraduates at Nasarawa State University, Keffi
Main Article Content
Abstract
This study examined the use of artificial intelligence (AI) tools among undergraduate students at Nasarawa State University, Keffi. The study was anchored on the Diffusion of Innovations Theory. A quantitative research design employing a descriptive survey was adopted. The study population comprised 12,450 undergraduate students, from which a sample of 400 respondents was selected using a multistage sampling technique. Of the questionnaires administered, 386 were validly completed and analysed using descriptive statistics. The findings revealed that ChatGPT, Grammarly and QuillBot were the AI tools most commonly used by students for academic activities. The study also found that most respondents used AI tools regularly and perceived them as supporting learning by improving access to information, academic writing, research and understanding of course content. However, poor internet connectivity, high data costs, limited digital literacy and inadequate access to digital devices were identified as the major challenges affecting the effective use of AI tools. The study concludes that AI has become an important learning-support technology among undergraduate students, although its effective use depends on access to digital infrastructure, AI literacy and responsible use. It recommends that universities strengthen digital infrastructure, integrate AI literacy into the curriculum and develop institutional guidelines to promote the ethical and effective use of AI tools for academic activities.
Downloads
Article Details
Issue
Section

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
References
Abubakar, A., Onasanya, S. A., & Ibrahim, H. (2024). Artificial intelligence adoption and students’ academic activities in Nigerian higher education institutions. Journal of Educational Technology and Learning, 7(1), 45–58.
Adetunji, A. A., Adeleke, O. A., & Olaleye, S. A. (2023). Students’ adoption and usage patterns of artificial intelligence in Nigerian higher education. Journal of Educational Research and Development, 12(2), 85–97.
Aiyebelehin, A. J., Abdulkareem, B., Aba, J. I., & Idemudia, B. E. (2025). Investigating how awareness and digital literacy skills predict the use of ChatGPT by undergraduates in a Nigerian university. https://doi.org/10.1177/09557490251378739
Akkureddy, S. (2024). Artificial intelligence in higher education: Opportunities, challenges and future directions. IGI Global.
Aljuaid, H. (2024). Artificial intelligence applications in higher education: Opportunities and challenges. Education and Information Technologies, 29(4), 4567–4585. https://doi.org/10.1007/s10639-023-12134-8
Alshater, M. M. (2022). Exploring the role of artificial intelligence in enhancing teaching and learning in higher education. International Journal of Educational Technology in Higher Education, 19(1), 1–18.
Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How learning works: Seven research-based principles for smart teaching. Jossey-Bass.
Bali, M., Cronin, C., & Jhangiani, R. (2024). Artificial intelligence in higher education: Opportunities, challenges, and implications for teaching and learning. International Review of Research in Open and Distributed Learning, 25(1), 1–18.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Efebeh, V. E., Orishede, F. O., & Igoh, E. O. (2024). Artificial intelligence and academic performance among undergraduate students in Nigerian universities. Nigerian Journal of Educational Technology, 6(1), 45–58.
Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: Systematic review and recommendations. The Milbank Quarterly, 82(4), 581–629. https://doi.org/10.1111/j.0887-378X.2004.00325.x
Guga, E., & Binjaku, E. (2024). Artificial intelligence in e-learning: An empirical study of ChatGPT as a learning tool. International Journal of Emerging Technologies in Learning, 19(2), 110–125.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Howard, S. K., Tondeur, J., Ma, J., & Yang, J. (2022). What to teach? Strategies for developing students' AI literacy. Computers and Education: Artificial Intelligence, 3, 100061. https://doi.org/10.1016/j.caeai.2022.100061
Idris, A., & Umar, M. (2024). Artificial intelligence adoption and academic engagement among undergraduate students in Nigerian universities. Journal of Educational Research and Practice, 14(2), 102–116.
Iliyasu, Z., Abdullahi, H. O., Iliyasu, B. Z., et al. (2024). Correlates of medical and allied health students' engagement with generative AI in Nigeria. Medical Science Educator, 35, 269–280. https://doi.org/10.1007/s40670-024-02181-y
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
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., Pfeiffer, F., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … 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
Mogaji, E., & Nguyen, N. P. (2022). Managers' understanding of artificial intelligence in relation to marketing financial services: Insights from a cross-country study. International Journal of Bank Marketing, 40(6), 1272–1298. https://doi.org/10.1108/IJBM-09-2021-0432
Musa, A., & Hashim, R. (2025). Artificial intelligence applications and students’ learning engagement, efficiency, and academic outcomes: Evidence from higher education. Education and Information Technologies, 30, 1–20.
Pattnaik, S., & Raman, R. (2024). Artificial intelligence tools in higher education: Applications, opportunities, and challenges. Education and Information Technologies, 29, 1–20.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Tinkel, M. (2025). Students’ AI literacy and its effects on AI output quality, self-efficacy, and academic performance. Computers and Education: Artificial Intelligence, 6, 100214.
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.
Utami, P., Nurhayati, S., & Prasetyo, A. (2023). Artificial intelligence in higher education: Enhancing learning and academic writing. Education and Information Technologies, 28(11), 14325–14345.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0