IMPACT OF ARTIFICIAL INTELLIGENCE ON PERSONALIZED LEARNING

Abstract

The transformative effects of artificial intelligence (AI) on personalized learning in education are examined in this research paper. Artificial Intelligence has greatly improved personalized learning, which is a teaching strategy that is adapted to each student's needs, preferences, and learning style. This study examines the ways in which artificial intelligence (AI)-driven tools, like predictive analytics, intelligent tutoring systems, and adaptive learning platforms, are transforming the educational landscape through an extensive review of recent developments and applications. The study shows how AI can be used to improve learning outcomes, personalize learning experiences, and increase student engagement by analyzing case studies and empirical data from a range of educational institutions. The study also looks into the difficulties and moral questions pertaining to the use of AI in personalized learning, such as data privacy, algorithmic bias, and the digital divide. The results indicate that although AI can significantly enhance personalized learning, its effective application necessitates careful evaluation of these obstacles. This study offers useful information to technologists, educators, and legislators who want to use AI to build more productive and equitable learning environments.