The Role of Machine Learning in Enhancing Personalized Online Learning Experiences
Year: 2025
Type: article
Abstract: The way educational content is offered and tailored for each learner has been completely transformed by the use of machine learning (ML) technologies into online education. This study looks at how machine learning algorithms can be used to create individualized online learning experiences that adjust to the needs, preferences, and learning styles of each individual student. This study shows how ML-driven customisation dramatically raises academic performance, retention rates, and learning engagement through a methodical examination of current implementations and results. The study investigates a number of machine learning techniques, such as adaptive algorithms, collaborative filtering, natural language processing, and predictive analytics. According to research, machine learningpowered tailored learning systems can boost learning effectiveness by as much as 40% and raise student satisfaction levels by 35% when compared to conventional methods
Authors: Mr. Rehan Ali Rizwan Ali Nawab, Mr. Ritesh Praful Yesmbare, Mr. Yash Ravindra Navnage, Balakrishna Das
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6968693444
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