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VOL. 10, ISSUE 3 (2025)
Artificial Intelligence In E-Learning for Real-Time Content Recommendation and Customization
Authors
Prakash Balasaheb Mande, Aviraj Arun Satpute
Abstract
Artificial Intelligence (AI) is revolutionizing elearning by enabling
real-time content recommendation and personalized learning experiences tailored
to individual student needs. By leveraging machine learning algorithms, natural
language processing, and adaptive learning models, AI systems analyze learner
behavior, preferences, and performance to dynamically adjust course materials,
suggest relevant resources, and optimize learning paths. These intelligent
systems enhance engagement, improve knowledge retention, and address diverse
learning styles by providing customized content in various formats, such as videos,
quizzes, and interactive simulations. Additionally, AI-driven analytics help
educators identify knowledge gaps, predict student performance, and offer
timely interventions, fostering a more effective and student-centric learning
environment. The integration of AI in e-learning platforms not only improves
accessibility and scalability but also empowers educators with data-driven
insights to refine teaching methodologies. As AI continues to evolve, its
application in education promises to revolutionize digital learning by creating
adaptive, immersive, and efficient educational experiences that cater to the
unique needs of learners in real time.
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Pages:125-129
How to cite this article:
Prakash Balasaheb Mande, Aviraj Arun Satpute "Artificial Intelligence In E-Learning for Real-Time Content Recommendation and Customization". International Journal of Advanced Scientific Research, Vol 10, Issue 3, 2025, Pages 125-129
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