INFLUENCE OF ARTIFICIAL INTELLIGENCE ON THE ACADEMIC PERFORMANCE OF UNDERGRADUATES OF UNIVERSITY OF NIGERIA, NSUKKA
Keywords:
Influence, Artificial Intelligence, Academic performance.Abstract
The growing popularity of artificial intelligence tools in the educational sector has continued to divide scholars and stakeholders in the field of education. Therefore, this study investigates the influence of artificial intelligence (AI) on the academic performance of undergraduates in university of Nigeria Nsukka. The major objective of his work is to examine the influence of AI in the academic output of UNN undergraduates. This study adopts the Unified Theory of Acceptance and Use of Technology (UTAUT)as its theoretical framework. The survey research design was employed, using a structured questionnaire to elicit the opinion of respondents. The online Australian Calculator was used to select 384 respondents out of the total population of 35,130 undergraduates in 2024 according to the Academic Planning Unit. The multi-stages sampling technique was used to get to the individual participant. The data generated from the field was analyzed quantitatively and presented in percentages and tables. Findings revealed that UNN undergraduate are very much aware of AI tools and also use AI tools for academic purposes. Based on the findings of this work, the study recommends that sensitization workshops should be carried out for lecturers and students to bring them up to speed with the latest AI tools and trends. Also, students should ensure moderation and responsibility in the use of AI tools in education as despite the numerous benefits of the use of AI tools in education, it can be a damaging tool, if used wrongly.
References
Al-Nory, M. T. (2012). Simple decision support tool for university academic advising. 2012 International Symposium on Information Technologies in Medicine and Education, 1, 53–57.
Alpaydın, E. (2016). Machine learning: The new AI. MIT Press
Anyoha R. (2019, Aug 28). The History of Artificial Intelligence. http://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/
Asemah, E., Gujbawu, M., Ekhareafo, D., &Okpanachi, R. (2012). Research methods and procedures in mass communication. Jos: Great Future Press.
Assiri, A., Al-Ghamdi, A. A. M., &Brdesee, H. (2020). From traditional to intelligent academic advising: A systematic literature review of e-academic advising. International Journal of Advanced Computer Science and Applications,11(4), 507–517.
Australian Bureau of Statistics. (1970). Sample size calculator. Retrieved from https://www.abs.gov.au/websitedbs/D3310114.nsf/home/Sample+Size+Calculator
Bilquise, G., Ibrahim, S. & Salhieh, S. M. (2023). Investigating student acceptance of an academic advising chatbot in higher education institutions. Education and Information Technologies. https:// doi. org/ 10. 1007/ s10639- 023- 12076-x
Bozkurt, A., &Göksel, N. (2018). Technology renovates itself: Key concepts on intelligent personal assistants (IPAs). In Proceedings of 10th International Conference on Education and New Learning Technologies Conference (EDULEARN18) (pp. 4291-4297). doi: 10.21125/edulearn.2018.1082
Cambria, E., White, B. (2014). Jumping NLP curves: A review of natural language processing research. IEEE Computational Intelligence Magazine, 9(2), 48–57. doi:10.1109/MCI.2014.2307227
Caratiquit, K. D., &Caratiquit, L. J. C. (2023). ChatGPT as an academic support tool on the academic performance among students: The mediating role of learning motivation. Journal of Social, Humanity, and Education,4(1), 21–33.
Chandler D. (1995). Technological or Media Determinism. [WWW document] URL http://www.aber.ac.uk/media/Documents
Chen, B., & Huang, W. (2019). Unpacking the Strategies of Learner-Centered Teaching in a Chinese Higher Education Context. Frontiers in Psychology, 10, 2443.
Chen, L., & Lee, J. (2020). Intelligent tutoring systems in education: A comprehensive review. Computers & Education, 156, 103955
Colchester K., Hagras H., Alghazzawi D., and Aldabbagh G., (2017) “A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms,” Journal of Artificial Intelligence and Soft Computing Research, 7 (1) 47–64.
Copeland, M. (2016). What’s the difference between artificial intelligence, machine learning, and deep learning? Retrieved from https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificialintelligence-machine-learning-deep-learning-ai/
Copeland, B.J (2022). Artificial intelligence. https://www.britannica.com/technology/artificialintelligence Dahri, N. A., Vighio, M. S., &Dahri, M. H. (2019). A survey on technology-supported collaborative learning tools and techniques in teacher education. International Conference on Information Science and Communication Technology (ICISCT),2019, 1–9.
Dahri, N. A., Yahaya, N., Al-Rahmi, W. M., Almogren, A. S., &Vighio, M. S. (2024). Investigating factors affecting teachers’ training through mobile learning: Task technology fit perspective. Education and Information Technologies, 1–37.
Delipetrev, B., Tsinarakii, C., &Kostic, U. (2020). Historical evolution of Artificial Intelligence. Publications Office of the European Union. DOI:10.2760/801580, JRC120469
Ergen M. (2019 Oct 9). Available from: https://m.platinonline.com/yazarlar/mustafa-ergen/yapay-zeka-ve-kristof-kolomb-943638.
Ergen M. (2019). What is Artificial Intelligence? Technical Considerations and Future perception. Anatol Journal of Cardiology 22: 5-7 DOI:10.14744/AnatolJCardiol.2019.790916
Fitria T. N. (2021). Artificial Intelligence (AI) in Education: Using AI Tools for Teaching and Learning Process. Proceeding Seminar Nasional& Call for Papers ISSN Online: 2654-6590 | ISSN Cetak: 2654-5306
Frankenfield, J, (2023). Artificial Intelligence: What It Is and How It Is Used https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp
Goksel, N., &Bozkurt, A. (2019). Artificial Intelligence in education: Current insights and future perspectives. In S. Sisman-Ugur, & G. Kurubacak (Eds.), Handbook of Research on Learning in the Age of Trans humanism 224-236. Hershey, PA: IGI Global.
Gordon, V. N., Habley, W. R., &Grites, T. J. (2011). Academic advising: A comprehensive handbook. John Wiley and Sons.
Hirschberg, J., & Manning, C. D. (2015). Advances in natural language processing. Science, 349(6245), 261–266. doi:10.1126cience.aaa8685 PMID:26185244
Johnson, C., Gitay, R., Abdel-Salam, A.-S. G., BenSaid, A., Ismail, R., Al-Tameemi, R. A. N., Romanowski, M. H., Al Fakih, B. M. K., & Al Hazaa, K. (2022). Student support in higher education: Campus service utilization, impact, and challenges. Heliyon, 8(12). https:// doi. org/ 10. 1016/j. heliy on. 2022. e12559
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. doi:10.1126 cience.aaa8415 PMID:26185243
Khan M. A., Khojah M., Vivek (2022). Artificial Intelligence and Big Data: The Advent of New Pedagogy in the Adaptive E-Learning System in the Higher Educational Institutions of Saudi Arabia. Hindawi Education Research International. 1263555, https://doi.org/10.1155/2022/1263555
Kumar, A., Irsoy, O., Ondruska, P., Iyyer, M., Bradbury, J., Gulrajani, I., ...Socher, R. (2016). Ask me anything: Dynamic memory networks for natural language processing. In International Conference on Machine Learning (pp. 1378-1387). New York
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi. org/10.1038/nature14539
Luckin, R., Holmes, W., Griffiths, M. &Forcier, L. B. (2016). Intelligence Unleashed. An argument for AI in Education. London: Pearson
Mamudu, F., Lamido, A. A. (2017). A comparative analysis of the effects of robots on Nigeria economy, Journalof Computer Engineering , 19(5), 36-40. DOI: 10.9790/0661- 1905023640.
McCarthy, J. (2007). What is artificial intelligence. Retrieved from http://www-formal.stanford. edu/ jmc/whatisai.html
McLuhan, M. (1964): Understanding Media: The Extensions of Man. New York: Mentor
Michie, D. (1963). Experiments on the mechanization of game-learning Part I. Characterization of the model and its parameters. The Computer Journal, 6(3), 232-236.
Minsky, M., &Papert, S. A. (1969). Perceptrons: An introduction to computational geometry. MIT Press.
Nabiyev, V. V. (2010). Yapayzeka: İnsanbilgisayaretkileşimi. SeçkinYayıncılık.
National Universities Commission (2018). Blueprint for the Development of ICT in Nigerian Universities. Abuja, Nigeria.
National Universities Commission (2020). Strategic Plan 2020-2022. Abuja, Nigeria.
Newell, A., Shaw, J. C., & Simon, H. A. (1962). The processes of creative thinking. In Contemporary Approaches to Creative Thinking, 1958, University of Colorado, CO, US; Atherton Press.
Nilson N. J. (2010). The Quest For Artificial Intelligence A History Of Ideas And Achievements. Cambridge University Press http://www.cambridge.org/us/0521122937
Nilsson, N. J. (2014). Principles of artificial intelligence. Burlington, MA: Morgan Kaufmann.
Nwaguma T. K. &Onyekwu H. C. (2023). Integrating Artificial Intelligence in Nigeria Education. A Panacea to Educational Assessment Development in Nigeria. African Journal of Information, Economics and Management Research (AJIEMR) 1 (2) Oct-Dec. ISSN: 2971-568
Nwigbo, S., &Madhu, B. K. (2016). Expert System: A catalyst in educational development in Nigeria, Journal of Mobile Computing & Application, 3(2), 08- 11. DOI: 10.9790/0050-03020811.
Ogunode N. J., Agbade O. P., Bassey U. O. (2023). Barriers to Effective Usage of Artificial Intelligence in Tertiary Institutions in North-Central, Nigeria. Web of Semantics: Journal of Interdisciplinary Science, https://wom.semanticjournals.org
Ogunode, N,. J. Edinoh, K. &Okolie, R,. C. (2023). Public Private Partnership Model and Implementation of Tertiary Education ProgrammeIn Nigeria. American Journal of Science on Integration and Human Development, 1(6):1-12
Ohaja, E. U. (2003). Mass Communication Research and Project Report. Lagos, Nigeria: John
Letterman Limited.
Olofu, M.A. &Oko, B.A. (2020). Building a corruption-free society in Nigeria through an emphasis on affective domain basic education curriculum. Nigerian Journal of Curriculum Studies, 27(3), 182191
Owan V. J., Abang K. B., Idika D. O., Etta E. O., Bassey B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. EURASIA Journal of Mathematics, Science and Technology Education, 19(8), em2307 ISSN:1305-8223 (online) https://doi.org/10.29333/ejmste/13428
Palmer, M. (2006). Data is the new oil. Blogtext. ANA Marketing Maestros. https://ana.blogs.com/maestros/2006/11/data_is_the_new.html
Rogers, E.M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Author
This work is licensed under a Creative Commons Attribution 4.0 International License.
