ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALIZED LEARNING

Abstract

The aim of this study is to evaluate how AI-driven tools and platforms influence students’ academic performance, engagement, and learning satisfaction. This quantitative study investigates the role of Artificial Intelligence (AI) in personalized learning within higher education settings. Data were collected through a structured questionnaire administered to 300 university students using AI-based educational technologies. The results reveal a significant positive correlation between AI integration and students’ perceived personalization of learning experiences (r = 0.73, p < 0.01). Additionally, 74% of the respondents reported that AI tools improved their ability to identify learning gaps and receive tailored content. Students noted benefits such as self-paced learning, instant feedback, and higher motivation. The study highlights the transformative potential of AI in shifting from a one-size-fits-all educational model to a learner-centered approach. These findings offer valuable insights for educators, policymakers, and EdTech developers aiming to enhance personalized education through intelligent systems.