Abstract
Advancements in Artificial Intelligence (AI) have led to significant changes in the education sector, creating new opportunities and challenges for teaching, research, and learning anytime and anywhere. The purpose of this study is to evaluate the impact and challenges of using artificial intelligence technology on universities in Southwestern Nigeria. A sample size of 120 Lecturers and 30 students were selected at each university using purposive sampling approaches and well-structured questionnaires distributed face-to-face and online. The questionnaire was distributed to six public and private universities in Nigeria's south-western zone, and 752 out of 900 copies were returned, indicating an 83.6% response rate. The data was captured in Microsoft Excel and SPSS packages, and it was analysed using frequency and percentage distributions. The findings revealed that adopting AI technologies for both learning, research, and teaching activities has a significant impact on teacher automated grading, feedback loops for teachers, virtual facilitators, chat campus questioning for students, personalized learning, adaptive learning, AI-powered anti-cheating, and data accumulation and personalization. However, the key barriers to the implementation of artificial intelligence technology are strategy, organizational maturity, data governance, and infrastructure of necessary IT in the campuses. In conclusion, the study recommends the use of many AI-tools for successful teaching, research, and learning in higher education.
Author Information
Aderinsola E. Kayode, Durban University of Technology, South Africa
Adedoyin T. Odumabo, Trinity University, Nigeria
Paper Information
Conference: ECE2024
Stream: Design
This paper is part of the ECE2024 Conference Proceedings (View)
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To cite this article:
Kayode A., & Odumabo A. (2024) The Impact and Challenges of Artificial Intelligence Technologies on Universities in Southwestern Nigeria ISSN: 2188-1162 The European Conference on Education 2024: Official Conference Proceedings (pp. 589-599) https://doi.org/10.22492/issn.2188-1162.2024.47
To link to this article: https://doi.org/10.22492/issn.2188-1162.2024.47
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