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

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.