Design and Evaluation of an Intelligent Learning Management System

This paper presents the design, implementation, and evaluation of an intelligent Learning Management System (LMS) that integrates advanced features such as semantic search using a knowledge graph (Neo4j), fine-grained access control for content and role-based authentication.Our LMS incorporates automated tagging, multilingual document indexing, and a permission workflow for secure content delivery.In a comparative analysis with Moodle, our experimental evaluations demonstrate improvements in retrieval accuracy, latency in access control, and overall user satisfaction.These results highlight the potential of our LMS to serve as a next-generation educational platform that supports fairness and enhanced usability.