AI Based Personalized E-Learning System

SANIYA DESHPANDE; DEEPA KUMARI; TANVI ROKADE; NEHA CHATANDAR; PREETI KOMATI

doi:10.71097/IJSAT.v16.i2.5955

AI Based Personalized E-Learning System

Author(s)	SANIYA DESHPANDE, DEEPA KUMARI, TANVI ROKADE, NEHA CHATANDAR, PREETI KOMATI
Country	India
Abstract	In the era of evolving education, integrating AI with learning can help to revolutionize learning experiences. AI powered personalized learning platforms are catering the need. There is a vast possibility of improving learner's experience by giving it a touch of personalization. AI can be helpful in integrating traditional learning methodologies with personalized learning. It improves user engagement while also improving the learning graph. Mentors can easily track user progress as well. The system leverages advanced AI techniques to analyze learners’ behavior, adaptively curate content, and provide timely and constructive feedback. By incorporating interactive assessments and real-time progress tracking, it empowers learners to achieve self-paced mastery of topics. The development process involves defining precise project objectives, collecting and processing educational data such as learner profiles, course content, and performance metrics, and designing robust AI models to drive personalized content delivery. This platform uses the artificial intelligence model and combines it with user friendly interface and robust backend system to ensure proper functionality. Open source analytics tools can be used to continuously monitor and refine the system performance and check for its efficiency. The user feedback helps in developing the model in an iterative format and ensures that the expectations of the learners are met accurately.Project provides a good framework for prospective progress in e learning technologies and offers invaluable insights for students, educators and developers, building a strong foundation for good quality education
Keywords	Artificial Intelligence in Education, Personalized Learning, E-Learning Platforms, Adaptive Learning, Educational Data Mining, Learning Analytics, Machine Learning in Education, Student Performance Prediction, User-Centric Learning Design, AI-Powered Education, Intelligent Tutoring Systems, Self-Paced Learning, Data-Driven Education, Interactive Assessments, Learning Management System (LMS), Reinforcement Learning for Education, AI-Based Assessment Systems, Real-Time Feedback in Learning
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-05
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5955
Short DOI	https://doi.org/g9pz7d

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AI Based Personalized E-Learning System

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