AUTOMATION OF MONITORING STUDENTS' PROGRESS IN UNIVERSITIES

This article identifies the role of automation of certain educational processes and teaching functions in learning, including analysis and forecasting of possible learning outcomes based on statistical data, monitoring of academic performance, as well as modeling the most effective curriculum. The work gradually reveals the mechanism of machine learning algorithms, its implementation and adaptation in the educational environment, as well as the consequences of its application in practice. The role of automation of educational processes in learning was revealed through questionnaires and surveys of students participating in the study.