ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 11. Vol. 24. 2018

DOI: 10.17587/it.24.731-740

G. N. Lebedev, Dr. of Ph., Professor, "Moscow aviation institute" (National Research University), 125080, Moscow, Russian Federation,
S. V. Kanushkin, Ph. D., Associate Professor, Serpukhov branch of the HA RSF, Serpukhov, Russian Federation, T. I. Kuznetsova, Dr. of Ph., Professor, The Head of department of foreign languages, englishmail@mail.ru, M. G. Tsaregorodtseva, Senior lecturer of department of foreign languages, marina77868@yandex.ru, Mendeleev University of Chemical Technology of Russia, Moscow, Russian Federation

Automated Computer-Based Individual Learning System for Mastering Simple and Complex Skills

The task is to automate individual computer training in simple and complex skills in various subject areas. A solution to the problem of optimization of training to a group of skills for a given time is formulated on the criterion of the maximum of the sum of additive and multiplicative convolutions of obtained estimations of the development of every skill. The main conclusion about the importance of increasing the frequency of alternation of mastering skills by the end of the training has been obtained. Examples of the effectiveness of the proposed approach in various subject areas are given. The task was set to automate individual computer training in simple and complex skills in various subject areas. The performance of tasks that do not require significant time is understood by simple skills, when initially the rate of mastering is maximal. Complex skills are meant as the fulfillment of tasks, the level of development of which depends on the development of the previous skills on which the skill in question is based. The dynamics of learning and forgetting skills, in so doing, is described by differential equations. The decision of a problem of optimization of training to a group of skills for a given time is formulated on the criterion of the maximum of the sum of additive and multiplicative convolutions of obtained estimations of development of every skill. With parallel learning of simple and complex skills, it is suggested to conduct testing of trainees in order to identify the rates of mastering and forgetting these skills and apply an exponential model to assess the level of training of the student group. With the help of dynamic programming, the problem of the distribution of learning time between simple and complex skills is solved, taking into account the individual characteristics of the trainees. When mastering complex skills along with simple skills, the switching frequency should gradually increase and reach a maximum for a strong group of trainees. Examples of the effectiveness of the proposed approach in various tasks are given: automated training of management operators for complex technical systems for various purposes, automation of independent study by students of a foreign language in a computer class and computer planning of individual and team-wide training of players in preparation for competitions in sports games. The main conclusion about the importance of increasing the frequency of alternation of mastering skills by the end of the training has been obtained.
Keywords: simple and complex skills, automation of training, computer class, optimization of training time, dynamic programming, frequency of alternation

P. 731–740

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