INTEGRATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES INTO THE DIGITAL EDUCATIONAL ENVIRONMENT: THEORETICAL AND PRACTICAL FOUNDATIONS

Abstract

This article analyzes the theoretical and practical aspects of integrating artificial intelligence technologies into the digital education environment. The study examines the main directions of ai application in education, including adaptive learning systems, intelligent educational platforms, automated assessment mechanisms, and algorithmic approaches aimed at optimizing the learning process. It also highlights the pedagogical, technological, and organizational foundations of using artificial intelligence in digital learning environments and evaluates its impact on education quality and effectiveness. Furthermore, the article discusses the possibilities of forming individualized learning trajectories, predicting student performance, and supporting teachers’ activities through ai integration in modern edtech systems. The findings demonstrate the strategic importance of artificial intelligence in the development of education systems under conditions of digital transformation.