Lecturer-to-Lecturer Learning Model for Artificial Intelligence Adoption in African Universities: Opportunities and Challenges

Authors

• Vincent C. Asogwa, University of EswatiniFollow

Abstract

Although artificial intelligence (AI) can transform teaching, research, and administrative processes, many African universities, including those in Eswatini and Nigeria, face challenges in implementing AI effectively because of inadequate infrastructure, lecturer skill gaps, and financial constraints. This study examines the opportunities and challenges associated with adopting the Lecturer-to-Lecturer Learning Model for AI in African universities. Grounded in social constructivism, the model emphasizes knowledge sharing through social interactions, which is particularly relevant in contexts where external resources are limited. The study employs content analysis of secondary data sources, including academic literature, institutional reports, and case studies on AI adoption in higher education. Findings indicate that the Lecturer-to-Lecturer model offers opportunities such as increased AI literacy, enhanced research capabilities, and improved administrative efficiency. However, challenges including infrastructure limitations, inconsistent lecturer participation, and resistance to technological change persist. Universities are therefore encouraged to invest in professional development programs, establish internal communities of practice, and incentivize faculty participation to support successful implementation of the Lecturer-to-Lecturer Learning Model. This approach could accelerate AI adoption, enhance educational practices, and improve institutional performance across universities in Eswatini.

Recommended Citation

Asogwa, Vincent C. (2026) "Lecturer-to-Lecturer Learning Model for Artificial Intelligence Adoption in African Universities: Opportunities and Challenges," Journal of Research Initiatives: Vol. 9: Iss. 3, Article 1.
Available at: https://digitalcommons.uncfsu.edu/jri/vol9/iss3/1