Intelligent System for Adaptive Management of the Educational Process in General Secondary Education Institutions Based on Artificial Intelligence Technologies

Abstract

The paper proposes the structure of an intelligent system for adaptive management of the educational process in general secondary education institutions based on artificial intelligence technologies, integrating educational data acquisition and integration, machine and deep learning, learning analytics, and predictive modeling to assess students’ current knowledge states, identify learning difficulties, and develop personalized learning pathways. The use of an adaptive decisionmaking mechanism and a continuous feedback loop enables the generation of recommendations tailored to students’ individual educational needs and the adaptive refinement of intelligent models, thereby creating the prerequisites for improving the personalization, flexibility, and effectiveness of the educational process while preserving the leading role of teachers in educational decision-making.