Authors: Mr. Aditya.P.pol, Mr. Chinamy.C.kulkarni, Mr.Siddharth.D.Dethe
Abstract: Artificial Intelligence (AI) has become a major force in transforming modern education by making learning more personalized, interactive, and efficient. Traditional teaching methods often follow a uniform approach where every learner receives the same content regardless of individual learning speed, interests, or understanding levels. AI-driven adaptive educational systems attempt to solve this issue by analyzing student behavior, learning patterns, and academic performance to provide customized learning experiences. This research paper explores the growing role of AI in personalized learning and examines how adaptive educational systems improve student engagement, learning outcomes, and instructional efficiency. The study also reviews important technologies such as machine learning, natural language processing, reinforcement learning, and learning analytics used in adaptive learning platforms. In addition, the paper highlights the challenges related to data privacy, fairness, ethical concerns, and implementation barriers. The findings indicate that AI-powered educational systems significantly improve learner performance and engagement when compared with traditional learning environments. The study concludes by discussing future opportunities for AI-enhanced education and the importance of combining technology with effective pedagogical practices.
DOI: https://doi.org/10.5281/zenodo.20157460
