DIGITAL TOOLS FOR LEARNING ACTIVITIES ANALYSIS
The article examines the use of modern modelling methods in analyzing data generated during the implementation of educational processes (Educational Data Mining - EDM). The paper describes the models and the digital tools the authors created to monitor expulsion rates, identify the felds of study and educational programs that pose most difficulties for students, and track the drop out dynamics in various sections: by forms of education, groups of areas and specialties, individual areas, etc. The authors analyze EDM approaches towards identifying the correlation between how frequently and efficiently students use the digital educational environment and how successful they are in learning academic disciplines and completing modules.