Design of Personalized E-Learning with Recommendation System: A Comprehensive Review of Research Findings and Methodologies

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  • Create Date 8 August, 2025
  • Last Updated 14 August, 2025

Authors : Dr. M.V. Bramhe , Abha Khandelwal, Harsha Kahar, Manthan Taksande, Mohit Bandawar, Dr. Mohit Agarwal

DOI: 10.46335/IJIES.2024.9.6.2

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Abstract: Advances in educational technology have developed personalized learning using a recommended system approach that tailors educational programs to the needs and interests of the individual learner. The basis of this approach is the integration of change evaluation and learning research, which allows for immediate assessment and feedback to inform the individual learning process. The recommendation process is at the heart of the framework, which uses methods to provide recommendations for learning, activities, and assessment. This research paper presents a literature review of various machine-learning techniques, learning methods, algorithms, and websites.