IMPLEMENTATION OF MACHINE LEARNING TECHNOLOGIES IN THE EDUCATIONAL PROCESS

This article examines the integration of machine learning (ML) technologies into the modern educational process, focusing on the pedagogical, technological, and organizational aspects of their implementation. Machine learning offers automated assessment, personalized learning pathways, predictive analytics, and intelligent tutoring systems that significantly transform traditional instruction. The study reviews relevant literature, outlines methodological frameworks for ML adoption, and presents practical results demonstrating improved learning outcomes. Challenges related to data quality, teacher readiness, ethical considerations, and technical infrastructure are also discussed. The article concludes with recommendations for effective and responsible integration of machine learning technologies in education.