Assessment of University Lecturers' Readiness to Adopt Artificial Intelligence (AI) Technology in North-East of Nigeria
Abstract
Artificial intelligence (AI) is poised to transform higher education by offering personalized learning experiences, automating administrative tasks, and providing enhanced data analytics. However, the successful implementation of AI in educational settings is contingent upon the readiness and willingness of university lecturers to adopt this technology. This article assesses the readiness of North-East Nigeria university lecturers to adopt and integrate AI into their teaching and administrative practices. Using survey approach, 100 university lecturers, were used for this study. Findings of the research revealed a moderate level of readiness among lecturers, the article concludes with recommendations for universities to bridge proficiency gaps, address ethical concerns, and foster a supportive environment for AI adoption. Future research directions are also suggested to further explore the longitudinal impacts of AI training programmes and the development of continuous technological adaptation strategies for lecturers.
References
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Watson, D. M. (2020). Blended Learning: A Review of Research Findings in Higher Education. Routledge.
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Adeyemi, A., & Ojo, S. (2020). Readiness of Nigerian University Lecturers for AI Adoption. Journal of Educational Technology, 35(2), 45-60.
Alabi, M., & Usman, R. (2020). The Role of AI in Enhancing Teaching and Learning in Nigerian Universities. International Journal of Educational Innovation, 19(2), 99-114.
Bates, A. W., & Sangrà, A. (2011). Managing Technology in Higher Education: Strategies for Transforming Teaching and Learning. Jossey-Bass.
Brown, K., & Davis, M. (2020). Visionary Leadership in AI Adoption: Strategies for Fostering Innovation and Collaboration. Journal of Educational Leadership, 38(2), 76-89.
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
Chukwuma, O., & Ibrahim, M. (2021). Barriers to AI Adoption Among Nigerian University Lecturers. African Journal of Educational Research, 28(3), 89-102.
Creswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). Sage Publications.
Eke, A., & Okoro, B. (2017). Assessing the Technological Readiness of Nigerian Lecturers. Journal of Digital Learning and Teaching, 23(2), 87-101.
Eneh, A., Idoko, J., & Orji, R. (2020). Artificial intelligence (AI) and the future of education in Nigeria: Trends, opportunities, and challenges. Journal of Educational Technology, 30(4), 56-69.
Eze, C., Enemuo, A., & Okeke, J. (2019). Technological Proficiency and AI Readiness in Nigerian Universities. Nigerian Journal of Technological Education, 16(4), 123-138.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Jones, K., & Brown, J. (2021). Collaborative Partnerships for AI Adoption: Leveraging Industry and Government Resources. Journal of Educational Technology, 35(4), 145-160.
Johnson, L., Becker, S. A., Cummins, M., Estrada, V., Freeman, A., & Hall, C. (2021). Horizon Report: 2021 Higher Education Edition. EDUCAUSE.
Kirkwood, A., & Price, L. (2014). Technology-enhanced learning and teaching in higher education: What is ‘enhanced’ and how do we know? A critical literature review. Learning, Media and Technology, 39(1), 6-36.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
Makinde, O., &Adeleke, J. (2021). Artificial intelligence (AI) adoption and challenges in Nigerian higher education: A case study. International Journal of Emerging Technologies in Learning (iJET), 16(4), 4-19.
McKinsey & Company. (2020). How AI is transforming the world of education. McKinsey Digital.
Musa, H., & Ogochukwu, E. (2019). Readiness for AI Adoption in Nigerian Tertiary Institutions. Journal of African Educational Studies, 20(3), 41-56.
Nwankwo, F., & Adeola, S. (2020). Institutional Support and AI Adoption in Nigerian Higher Education. Journal of Higher Education Policy and Management, 31(2), 54-70.
Okafor, P., Nwosu, A., & Chukwu, E. (2019). Exploring AI Integration in Nigerian Higher Education. International Journal of Technology in Education, 22(1), 33-48.
Olalekan, J., Akinwumi, D., & Shola, A. (2021). Impact of AI Training Programs on Readiness of Nigerian Lecturers. Educational Technology Research and Development, 25(3), 65-80.
Trochim, W. M. K., & Donnelly, J. P. (2008). Research methods: The concise knowledge base (1st ed.). Atomic Dog Publishing.
Schwab, K., & Davis, N. (2018). Shaping the Fourth Industrial Revolution. World Economic Forum.
Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
Seymour, L., & Fourie, L. (2019). The challenges of AI in higher education in developing countries: A South African perspective. Journal of Educational Technology, 30(3), 45-57.
Smith, A., & Anderson, J. (2019). AI in Education: Current Uses and Emerging Trends. Pew Research Center.
Smith, L., & Williams, R. (2021). Incentivizing AI Adoption: Policies for Recognizing and Rewarding Innovation in Education. Journal of Higher Education Policy, 42(1), 45-58.
UNESCO. (2019). Artificial Intelligence for Sustainable Development: A Framework. United Nations Educational, Scientific and Cultural Organization (UNESCO).
Wang, F., & Hannafin, M. J. (2005). Design-based research and technology-enhanced learning environments. Educational Technology Research and Development, 53(4), 5-23.
Watson, D. M. (2020). Blended Learning: A Review of Research Findings in Higher Education. Routledge.
Williamson, B. (2018). The Hidden Architecture of Higher Education: Building a Big Data Infrastructure for the ‘Smarter University’. International Journal of Educational Technology in Higher Education, 15(1), 12.
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(1), 39.
Published
2024-07-31
How to Cite
REUBEN, Benson; KABILAN, Muhammad Kamarul.
Assessment of University Lecturers' Readiness to Adopt Artificial Intelligence (AI) Technology in North-East of Nigeria.
International Journal of Advanced Research in Education and Society, [S.l.], v. 6, n. 2, p. 482-490, july 2024.
ISSN 2682-8138.
Available at: <https://myjms.mohe.gov.my/index.php/ijares/article/view/27238>. Date accessed: 19 sep. 2024.
Section
English Section
