Harnessing Generative AI for Personalized Learning: A Review in the Context of National Education Policy, 2020

Abstract

The inclusion of Artificial Intelligence (AI) in education has been a hot topic in recent years, with the National Education Policy (NEP) 2020 identifying the need to harness AI for improving learning outcomes. This review discusses the prospects of Generative AI (GenAI) in transforming personalized learning, in consonance with the objectives outlined by the NEP. Through an exploration of current literature, the paper analyzes how GenAI methods are being used to design personalized learning experiences. In addition, it critically examines the existing state of personalized learning systems, highlighting gaps and challenges. In a comparative approach, the review brings out the shortfalls in current strategies and proposes possibilities for further research, which bridges these shortcomings to achieve more efficient and scalable personalized learning solutions.