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The paper examines the relationship between the digital footprint of high school students in the Vkontakte social network with their high formal educational achievements (prizes in All-Russian Olympiads). To do this, using the Vkontakte API, the digital footprint of users is uploaded, a classifier is built to determine whether a student is a prize-winner of the Olympiads, and it turns out which groups of variables (personal characteristics, popularity and novelty of posts on the wall, subscriptions to communities) have the greatest impact on the accuracy of classification. The classification uses user data from the Vkontakte social network of 12,588 graduates of the 11th grade in 2019 and 2020, and machine learning algorithms.  As a result of the study, the relationship between the level of educational potential, as a student's ability to win Olympiads, and the subject of content interesting to such students was revealed. 63 Vkontakte communities were also identified as the most significant for the classification of study participants. Among the communities that are more popular with the winners of the Olympiads, there are topics related to science and passing the Unified State Exam, as well as intellectual memes. The subscriptions of "non-Olympians" express the presence of communities with humor and entertainment content. This observation refutes the widespread opinion in the pedagogical community about the negative impact of social networks on the success of schoolchildren's education. The Vkontakte information space contains not only entertainment content, but also information that supports or stimulates cognitive interest and educational motivation.  	

The relationship between the educational achievements of high school students and their digital footprint in the social network.