Enhancing Student Outcomes through AI-Driven Personalized Learning: A Study on Implementation and Effectiveness at the Universities in Kenya

The integration of Artificial Intelligence (AI) in higher education has revolutionised personalised learning, offering tailored instructional experiences that enhance student engagement, academic performance, and retention. However, despite AI's transformative potential, its implementation in Kenyan universities remains limited due to infrastructural constraints, faculty preparedness, and institutional policies. This study examines the implementation and effectiveness of AI-driven personalised learning in universities in Kenya. Using a mixed-method approach, the study evaluates the extent of AI adoption, the challenges faced, and its impact on student learning outcomes. Findings provide empirical evidence to inform policymakers, educators, and technology developers on strategies for optimising AI-based personalised learning in higher education. The study contributes to the growing discourse on AI in education, ensuring Kenyan universities align with global trends in digital transformation

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Publication Details

Journal
East African Journal of Education Studies
Published
2025-05-26
DOI
https://doi.org/10.37284/eajes.8.2.3048
Primary Topic
Online Learning and Analytics
Type
article
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article

Enhancing Student Outcomes through AI-Driven Personalized Learning: A Study on Implementation and Effectiveness at the Universities in Kenya

Alice Omariba
East African Journal of Education Studies
Online Learning and Analytics
article

Enhancing Student Outcomes through AI-Driven Personalized Learning: A Study on Implementation and Effectiveness at the Universities in Kenya

Alice Omariba
article en

Abstract

The integration of Artificial Intelligence (AI) in higher education has revolutionised personalised learning, offering tailored instructional experiences that enhance student engagement, academic performance, and retention. However, despite AI's transformative potential, its implementation in Kenyan universities remains limited due to infrastructural constraints, faculty preparedness, and institutional policies. This study examines the implementation and effectiveness of AI-driven personalised learning in universities in Kenya. Using a mixed-method approach, the study evaluates the extent of AI adoption, the challenges faced, and its impact on student learning outcomes. Findings provide empirical evidence to inform policymakers, educators, and technology developers on strategies for optimising AI-based personalised learning in higher education. The study contributes to the growing discourse on AI in education, ensuring Kenyan universities align with global trends in digital transformation

East African Journal of Education StudiesVol. 8(2)
Murang'a University of Technology (KE)
Openalex Percentile: Top 89%
Online Learning and Analytics
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Enhancing Student Outcomes through AI-Driven Personalized Learning: A Study on Implementation and Effectiveness at the Universities in Kenya — Alice Omariba · East African Journal of Education Studies (2025) | TGRS Research Map | TGRS