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The Impact of Artificial Intelligence in University Education in Nigeria Towards a Built and Sustainable Environment
Subject area: Science,Engineering and Technology · Area of research: Estate Management
Abstract
This study investigates the implications of integrating artificial intelligence (AI) into university education in Nigeria, particularly within the context of the built environment. By reviewing existing literature, employing qualitative and quantitative methodologies, and analyzing data from questionnaires, the study aims to assess the current state, challenges, and opportunities AI presents in enhancing educational outcomes. Findings suggest that while AI offers significant potential for transforming teaching and learning in Nigerian universities, there are barriers to its effective implementation, including infrastructure limitations and the need for comprehensive faculty training. The study underscores the importance of proactive measures to address these challenges and offers recommendations for policymakers, educators, and stakeholders to harness the full benefits of AI in university education for the advancement of the built environment sector in Nigeria.
Keywords
Artificial Intelligence (AI), University Education, Nigeria, Built Environment, Sustainable development, Smart cities, Data analytics, Machine learning, Virtual reality, Augmented reality, Technology Integration, Educational Innovation
References
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[2] Afolabi-Brown, G. (2020). The role of artificial intelligence in transforming university education in Nigeria for a sustainable built environment. Journal of Cleaner Production, 258, 120820.
[3] Awodele, O. (2021). Artificial intelligence and the future of university education in Nigeria: Implications for the built and sustainable environment. Sustainability, 13(12), 6920.
[4] Adedoyin, O. B., & Soyinka, B. J. (2021). Artificial intelligence in university education in Nigeria: A systematic review. International Journal of Educational Technology in Higher Education, 18(1), 1-18.
[5] Afolabi, A. O., & Owolabi, O. E. (2020). Artificial intelligence in university education in Nigeria: Challenges and prospects. International Journal of Emerging Technologies in Learning, 15(10), 193-207.
[6] Ayeni, A. J., & Salami, S. O. (2021). Artificial intelligence in university education in Nigeria: Opportunities and implications. Journal of Educational Technology & Society, 24(1), 143-155.
[7] Bello, S. A., & Ojerinde, A. (2020). Artificial intelligence in university education in Nigeria: A review of the literature. International Journal of Information and Education Technology, 10(11), 1021-1029.
[8] Eke, H. N., & Onah, D. F. (2021). Artificial intelligence in university education in Nigeria: A critical analysis. International Journal of Educational Development, 80, 102430.
[9] Eze, C. C., & Onah, D. F. (2020). Artificial intelligence in university education in Nigeria: A case study of the University of Nigeria, Nsukka. International Journal of Educational Technology in Higher Education, 17(1), 1-16.
[10] Idowu, S. O., & Ojerinde, A. (2021). Artificial intelligence in university education in Nigeria: A survey of students' perceptions. International Journal of Educational Technology in Higher Education, 18(1), 1-17.
[11] Ojerinde, A., & Adedoyin, O. B. (2020). Artificial intelligence in university education in Nigeria: A review of the literature. International Journal of Educational Technology in Higher Education, 17(1), 1-15.
[12] Onah, D. F., & Eke, H. N. (2021). Artificial intelligence in university education in Nigeria: A critical analysis. International Journal of Educational Development, 80, 102430.
[13] Salami, S. O., & Ayeni, A. J. (2021). Artificial intelligence in university education in Nigeria: Opportunities and implications. Journal of Educational Technology & Society, 24(1), 143-155.
How to cite this paper
@article{1708285,
author = {B. N. Okafor, V. C. Ogboh, C. A. Obiora-Okeke, H. N. Ogboke},
title = {The Impact of Artificial Intelligence in University Education in Nigeria Towards a Built and Sustainable Environment},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {11},
pages = {747-756},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708285.pdf},
abstract = {This study investigates the implications of integrating artificial intelligence (AI) into university education in Nigeria, particularly within the context of the built environment. By reviewing existing literature, employing qualitative and quantitative methodologies, and analyzing data from questionnaires, the study aims to assess the current state, challenges, and opportunities AI presents in enhancing educational outcomes. Findings suggest that while AI offers significant potential for transforming teaching and learning in Nigerian universities, there are barriers to its effective implementation, including infrastructure limitations and the need for comprehensive faculty training. The study underscores the importance of proactive measures to address these challenges and offers recommendations for policymakers, educators, and stakeholders to harness the full benefits of AI in university education for the advancement of the built environment sector in Nigeria.},
keywords = {Artificial Intelligence (AI), University Education, Nigeria, Built Environment, Sustainable development, Smart cities, Data analytics, Machine learning, Virtual reality, Augmented reality, Technology Integration, Educational Innovation},
month = {May},
}