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The article presents the results of preliminary processing of data on the behavior of users of the Moscow Electronic School with a volume of about 50 thousand observations. The relevance of the study is due to the increase in the volume of distance and mixed education in the context of digitalization of space. The aim of this study was to identify groups of teachers (users) exhibiting differing behaviors when interacting with educational content on the Moscow Electronic School platform. According to the results of the study, the relationships between the behavioral parameters of users were determined and 5 behavioral types of the Moscow Electronic School users were identified, which will further allow using this approach in increasing the efficiency of the Moscow Electronic School platform as a recommendation system.

Pre-processing of data on the behavior of users of the Moscow Electronic School service