Using Machine Learning in an LMS to Implement the Online Education Model
Keywords:
Analysis of Data; Artificial Intelligence; Machine Learning; Online Education; Education ContentAbstract
The demand for Learning Management Systems (LMS) that provide scalable, adaptable, and personalized learning experiences has increased due to the explosive expansion of online education. While developing Machine Learning (ML) techniques allow for automated decision-making, tailored learning paths, predictive analytics, and intelligent evaluation mechanisms, traditional LMS platforms mostly concentrate on content delivery and administrative tasks. In order to promote a strong online education model, this study investigates how machine learning (ML) can be included into an LMS. System architecture, machine learning applications, implementation difficulties, and potential research avenues are presented. The results highlight how ML-driven LMS solutions can revolutionize learning outcomes, engagement, and institutional effectiveness.
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Copyright (c) 2025 Neha Upadhyay, Ajay Jain
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