Authors :
Agwenyi C. A.; Nambiro Alice; Etene Yonah
Volume/Issue :
Volume 11 - 2026, Issue 5 - May
Google Scholar :
https://tinyurl.com/4jcp6fxz
Scribd :
https://tinyurl.com/4hp7p3ff
DOI :
https://doi.org/10.38124/ijisrt/26May799
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
As Kenya solidifies its position as Africa’s "Silicon Savannah," its higher education sector faces a
transformative shift driven by Generative Artificial Intelligence (Gen AI). This study utilizes an integrated Technology
Acceptance Model (TAM) and Technology-Organization-Environment (TOE) framework to investigate the factors
influencing Gen AI adoption among researchers in Kenyan universities. While institutional investments (TOE) and
perceived usefulness (TAM) drive initial interest, significant barriers including high cognitive load, ethical "black-box"
skepticism, and infrastructure deficits hinder deep integration. Using a mixed-methods approach, the paper identifies
"Identity Protection" and "Digital Sovereignty" as unique local drivers. The findings suggest that for Kenya to lead the
academic AI frontier, policy must move beyond procurement toward human-centric trust calibration.
Keywords :
Generative AI, Silicon Savannah, Higher Education, TAM-TOE Framework, Kenya, Research Innovation.
References :
- African Population and Health Research Center [APHRC]. (2025). Embracing AI in education: Protecting human agency in a world of automation. https://aphrc.org/blogarticle/embracing-ai-in-education/
- Bervell, B., Mireku, D. O., Dzamesi, P. D., Nimo, E. B., Andoh, R. P. K., & Segbenya, M. (2025). AI acceptance and usage in sub-Saharan African education: A systematic review of literature. Journal of Advocacy, Research and Education, 12(1), 82–106. https://doi.org/10.13187/jare.2025.1.82
- Commonwealth of Learning [COL]. (2025). COL and Kenya’s Ministry of Education explore micro-credentials and AI integration in teacher education.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
- Government of Kenya. (2025). Kenya National Artificial Intelligence (AI) Strategy 2025–2030. Ministry of Information, Communications and the Digital Economy.
- Muchiri, C. W. (2025, July 28). A review of Kenya Artificial Intelligence Strategy 2025-2030: The hits and misses. University of Cape Town IP Chair. https://law.uct.ac.za/ip-chair/articles/2025-07-28-review-kenya-artificial-intelligence-strategy-2025-2030-hits-and-misses
- Mweru Chege, A., & Kihara, A. (2025). Determinants of artificial intelligence technologies adoption in Kenyan universities: A case of United States International-Africa. Open Journal of Technological and Jagged Trends in Science, 7(4), 16–35.
- Tornatzky, L. G., & Fleisher, M. (1990). The processes of technological innovation. Lexington Books.
As Kenya solidifies its position as Africa’s "Silicon Savannah," its higher education sector faces a
transformative shift driven by Generative Artificial Intelligence (Gen AI). This study utilizes an integrated Technology
Acceptance Model (TAM) and Technology-Organization-Environment (TOE) framework to investigate the factors
influencing Gen AI adoption among researchers in Kenyan universities. While institutional investments (TOE) and
perceived usefulness (TAM) drive initial interest, significant barriers including high cognitive load, ethical "black-box"
skepticism, and infrastructure deficits hinder deep integration. Using a mixed-methods approach, the paper identifies
"Identity Protection" and "Digital Sovereignty" as unique local drivers. The findings suggest that for Kenya to lead the
academic AI frontier, policy must move beyond procurement toward human-centric trust calibration.
Keywords :
Generative AI, Silicon Savannah, Higher Education, TAM-TOE Framework, Kenya, Research Innovation.