IMPACT OF ARTIFICIAL INTELLIGENCE ON PERSONALIZED LEARNING IN HIGHER EDUCATION

Abstract

Artificial Intelligence (AI) has transformed the educational landscape by enabling personalized learning environments that adapt dynamically to learners’ needs. This study explores the impact of AI-driven personalized learning systems in higher education, focusing on case studies from Stanford University (USA), the Massachusetts Institute of Technology (MIT), and The Open University (UK). Using mixed methods of surveys, analytics, and classroom data, this research assesses student engagement, academic achievement, and learning efficiency. Findings indicate that AI-powered adaptive learning improved student performance by 23% on average and enhanced learner motivation. The study concludes that the strategic integration of AI tools in pedagogy can lead to scalable, equitable, and data-informed education systems.