DEVELOPMENT OF AN INTELLIGENT LEARNING MANAGEMENT SYSTEM ARCHITECTURE
DOI:
https://doi.org/10.5281/zenodo.19563103Keywords:
artificial intelligence, learning management systems, system architecture, machine learning, educational data, optimization.Abstract
This paper investigates the design principles and architectural foundations of intelligent learning management systems (ILMS) in higher education. The study focuses on integrating artificial intelligence, data-driven decision-making, and scalable system design. A multi-layered architecture is proposed, incorporating data acquisition, analytical processing, and decision support modules. The model is complemented by algorithmic formulations for predictive analytics and adaptive management.
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