DEVELOPMENT TRENDS OF INTELLIGENT AUTOMATION SYSTEMS IN DIGITAL EDUCATIONAL PLATFORMS

Abstract

Intelligent automation systems in digital learning platforms are analyzed from both theoretical and practical perspectives in terms of their development trends. The study examines the integration of artificial intelligence, machine learning, and Big Data technologies into educational platforms and highlights their role in automating learning processes. It also explores adaptive learning systems, automated assessment mechanisms, intelligent recommendation systems, and digital algorithms for managing educational processes. The impact of intelligent automation systems on the quality, efficiency, and management of education is scientifically evaluated. The results indicate that AI-based automation systems in digital education platforms have significant future development potential and play a strategic role in optimizing the learning process.