AI-Based Personalized & Adaptive E-Learning Platform

Author(s)	Kajal Pal, Yogita Dhote, Pushkar Verma, Vinayak Bhodekar, Dr. Pankaj Singh Sisodiya
Country	India
Abstract	This research presents the design and implementation of an AI-Based Adaptive and Personalized E-Learning Platform that enhances digital education through intelligent algorithms and modern web technologies. Developed using the MERN stack (MongoDB, Express.js, React.js, Node.js), the system personalizes learning experiences through AI-based recommendations, progress tracking, and chatbot assistance. Algorithms such as Content-Based Filtering, K-Means Clustering, Knowledge Tracing, and JWT Authentication were implemented to ensure personalization, performance grouping, and security. The platform achieved improved user engagement and faster learning outcomes compared to traditional e-learning systems. The proposed framework demonstrates how AI and web technologies can make education more accessible, adaptive, and efficient for students, teachers, and institutions.
Field	Engineering
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-10-31

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International Journal on Science and Technology