THE ROLE OF ARTIFICIAL INTELLIGENCE IN TRANSFORMING HIGHER EDUCATION AND PERSONALIZED LEARNING

Abstract

Artificial Intelligence is rapidly transforming higher education by enabling personalized, data-driven learning environments. For decades, universities have leaned on a one-size-fits-all model. The problem is, that approach often leaves students behind because it ignores how differently people actually learn. AI technologies—such as machine learning, intelligent tutoring systems, natural language processing, and learning analytics—allow institutions to tailor instruction to individual learners. This paper examines the role of AI in powering personalized learning in higher education. Through a review of recent scholarly literature, the study identifies major AI applications, including adaptive learning systems, predictive analytics, and intelligent tutoring systems, and analyzes their impact on student engagement and academic performance. The results show that AI-driven personalization can improve learning outcomes, increase student retention, and support instructors through automated feedback and data-informed decision-making. However, the adoption of AI also presents challenges: including ethical concerns, data privacy issues, algorithmic bias, and unequal access to technology. The paper concludes that while AI has significant potential to transform higher education, effective implementation requires responsible governance, institutional support, and continuous evaluation to ensure equitable and meaningful educational outcomes.