Abstract
This article discusses modern e-learning systems that have the ability to record user actions, such as movement, use of interactive materials, registration for courses, their completion, and more. Analysis of user actions in learning management systems provides opportunities for personalization of educational trajectories. Based on the study of user behavior, it becomes possible to form recommendations for course developers to improve the content and structure, as well as recommendations for passing the course for students. This work examines the data contained in activity logs to obtain information, search for dependencies by filtering relevant logs, structuring information from them, and providing data in a form that is convenient for analysis and drawing conclusions. The paper considers data of the main types of events generated as a result of recording user actions in the training management system, and scenarios for using the results of analyzing this data.
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