Systematic analysis and improvement of the information flow operating model in electronic learning systems

Abstract

The article addresses the systematic analysis of the efficient organization of information flow in electronic learning systems and the implementation of an improved operational model. The authors identify key issues such as disruptions in information flow, lack of modular compatibility, and security challenges. A new model is proposed, integrating artificial intelligence, automated analysis, and adaptive feedback mechanisms. The model components—data collection, intelligent analytics, personalized recommendations, and security algorithms—are aimed at enhancing the quality of e-learning. The proposed approach contributes to increasing the effectiveness of modern digital learning environments.