Abstract

In the rapidly evolving landscape of education, the Distributed Learning Management System (DLMS) emerges as a transformative solution, engineered to transcend the inherent limitations of traditional Learning Management Systems (LMS). This project introduces a data-driven DLMS that leverages the power of machine learning to significantly enhance learner analytics and accurately predict performance, thereby fostering a more personalized and effective educational experience. By harnessing the capabilities of distributed computing and cutting-edge technologies, this system establishes a dynamic, scalable, and user-centric educational platform adaptable to diverse learning environments, including academic institutions, corporate training programs, and individual learners.