MECHANISMS FOR MONITORING THE LEARNING PROCESS AND IMPROVING THE QUALITY OF EDUCATION IN DIGITAL LEARNING PLATFORMS

This thesis examines the role, capabilities, and significance of monitoring the learning process through digital learning platforms in improving the quality of education. It discusses mechanisms for tracking students’ learning activities, analyzing academic performance indicators, assessing independent learning activities, and making pedagogical decisions based on the collected data. Furthermore, the potential of Learning Analytics, automated assessment, individualized feedback, and artificial intelligence technologies in improving digital monitoring systems is explored.