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The Silicon Savannah’s Academic Frontier: Drivers and Barriers of Generative AI Adoption among Researchers in Kenyan Universities


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

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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 :

  1. 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/
  2. 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
  3. Commonwealth of Learning [COL]. (2025). COL and Kenya’s Ministry of Education explore micro-credentials and AI integration in teacher education.
  4. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
  5. Government of Kenya. (2025). Kenya National Artificial Intelligence (AI) Strategy 2025–2030. Ministry of Information, Communications and the Digital Economy.
  6. 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
  7. 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.
  8. 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.

Paper Submission Last Date
30 - June - 2026

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