Impact Of Artificial Intelligence On Personalized Learning: An Analysis In Higher Education

Abstract

Artificial intelligence (AI) isrevolutionizing the education sector, especially in higher education, by enabling personalized learning experiences. This article analyzed the impact of AI on learning personalization in higher education institutions, assessing its benefits, challenges, and future prospects. Through a literature review and field research, using qualitative and quantitative approaches and hermeneutic, deductive, and descriptive methods, surveys and interviews were conducted at selected higher education institutions to identify usage patterns of AI-based technologies, such as recommender systems, intelligent tutors, and predictive analytics, demonstrating significant improvements in student performance and retention. Across the three universities surveyed, it was determined that there was an average 18% increase in grades for students who used AI-based adaptive systems. It was concluded that artificial intelligence offers great potential for personalizing higher education, with verifiable benefits in performance, motivation, and efficiency. However, its adoption must consider ethical, technical, and cultural aspects; and, if applied properly, AI has the potential to revolutionize higher education toward more inclusive and student-centered models.