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O. V. Ovchinkin

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Author: O. V. OvchinkinYear: 2017clear all
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THE FUNCTIONAL MODEL OF CENTRALIZED ADMISSION CAMPAIGN TO THE UNIVERSITIES OF RUSSIA

(STEF92 Technology, 2017, A. I. Pykhtin, O. V. Ovchinkin, N. K. Zarubina)

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The aim is to construct a functional model of a centralized admission campaign in Russian universities. As a research tool used methodology for functional modelling IDEF0. The main result was the functional model, decomposed into blocks "Enter data in the federal information system to ensure the state final examination and receiving", "Carry the exam and the state final exams", "Enter the competition results", "Carry entrance examinations in higher educational institutions", "Conduct national competition". The mod...

SOCIAL SCIENCES: Section Education and Digital Learning Innovations2017
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THE MAIN CHALLENGES OF THE CENTRALIZED ADMISSION CAMPAIGN IN RUSSIAN UNIVERSITIES

(STEF92 Technology, 2017, A. I. Pykhtin, O. V. Ovchinkin, V. V. Mahova)

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The article suggests solutions to the problems that may arise in the practical implementation of a new approach to the distribution of state-funded places among the universities, subordinated to the Ministry of Education and Science of the Russian Federation and the competition among the applicants. These problems include the excess of educational organization material resources with a sharp increase in the number of applicants recommended for enrollment; the mechanisms for taking into account additional creative ...

SOCIAL SCIENCES: Section Education and Digital Learning Innovations2017
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PLANNING THE NUMBER OF FIRST YEAR STUDENTS AT UNIVERSITY ON THE EXAMPLE OF MAGISTRACY

(STEF92 Technology, 2017, N.K. Zarubina, O.V. Ovchinkin, A.I. Pykhtin, G.S. Titova)

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The approach is considered, which allows the decision maker to determine not only the need for the announcement of admission to a current master educational program, but also the number of students enrolled in master educational programs. For decision-making on the announcement of foster campaign authors offer to use a majority block on the basis of the recommendations obtained by the classical methods of cluster analysis, Kohonen neural network (which make it possible to divide educational programs into clusters,...

SOCIAL SCIENCES: Section Education and Digital Learning Innovations2017
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