ARTIFICIAL INTELLIGENCE TOOLS AND THEIR INFLUENCE ON STUDENTS’ ACADEMIC PERFORMANCE IN TERTIARY INSTITUTION

Authors

  • OGBEIDE-AKUGBE, M. Department of Office Technology and Management School of Information and Communication Technology Auchi Polytechnic, Auchi, Edo State, Nigeria
  • ELAMAH A.N. Department of Office Technology and Management School of Information and Communication Technology Auchi Polytechnic, Auchi, Edo State, Nigeria

Keywords:

Artificial Intelligence, AI Tools, Academic Performance, Students.

Abstract

Artificial Intelligence (AI) has significantly transformed teaching and learning, research, and assessment in higher education. The rapid adoption of AI-powered tools such as ChatGPT, Google Gemini, Microsoft Copilot, Grammarly, QuillBot, and adaptive learning platforms has significantly influenced teaching and learning processes in tertiary institutions worldwide. This paper examined artificial intelligence tools and their influence on students’ academic performance in tertiary institutions. The purpose was to discuss the concept of artificial intelligence, commonly used AI tools among students, the positive and negative influences of AI on academic performance, challenges associated with AI adoption in higher education, and strategies for promoting the ethical and effective use of AI technologies. The paper adopted a descriptive review approach by synthesizing findings from recent empirical studies conducted in Nigeria. Evidence from the reviewed literature indicates that AI tools improve students’ academic performance by enhancing personalized learning, increasing learning motivation, supporting academic writing, improving research efficiency, and providing immediate feedback. However, excessive dependence on AI may weaken critical thinking, reduce creativity, encourage academic dishonesty, and compromise the development of independent learning skills. The paper concluded that AI should complement rather than replace students’ cognitive efforts. It suggested, among other measures, that tertiary institutions formulate AI usage policies, train lecturers and students on responsible AI practices, redesign assessment methods, and integrate AI literacy into the curriculum to maximize its educational benefits.

References

Ali, Haider, Z., Munir, F., Khan, H., & Ahmed, A. (2023). Factors contributing to the students’ academic performance: A case study of Islamia University sub-campus. American Journal of Educational Research, 1(8).

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. Education and Information Technologies, 28, 1–22.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

Debie, M. M., & Wamba, S. F. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges, and implications of generative AI for research, practices, and education. International Journal of Information Management, 71, 102642.

Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., & AI-Debei, M. M. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges, and implications of generative AI for research, practice, and education. International Journal of Information Management, 71, 102642.

Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50.

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.

Ngonso, B. F., Egielewa, P. E., Egenti, G., Uduehi, I., Sunny-Duke, F., Ukhurebor, K. E., Onwusinkwue, S., Odezuligbo, I., Abiodun, A. O., Talabi, A. A., Jokthan, G., Opetaye, J., Nwankwo, U. C., Eneche, B. M., & Osemengbe, U. O. (2025). Influence of artificial intelligence on educational performance of Nigerian students in tertiary institutions in Nigeria. Journal of Infrastructure, Policy and Development, 9(1), Article 49949.

Ogbebor, S. O. (2025). Artificial intelligence tools and students’ academic performance in Nigerian higher education institutions. Asian Journal of Assessment in Teaching and Learning, 15(1), 90–104.

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO.

UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.

World Economic Forum. (2023). The future of jobs report 2023. World Economic Forum.

York, T. T., Gibson, C., & Rankin, S. (2015). Defining and measuring academic success. Practical Assessment, Research & Evaluation, 20(5), 1–20.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39), 1–27.

Downloads

Published

2026-09-26