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Abstract
The article explores the educational technology of personalized training in the training of engineers. A hypothesis is presented on the relationship between the quality of student preparation and the individual educational trajectory reinforced by feedbacks. The use of new pedagogical technologies based on machine learning and big data is proposed. An algorithm for creating personalized educational systems is defined.
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1 Kazan Federal University, Kazan, Russia, 420008
2 Kazan Federal University, Kazan, Russia, 420008; Kazan National Research Technical University named after A N Tupolev, Kazan, Russia