Methods for Optimization of Student’s Number in Higher Educational Institutions

Introduction. The article deals with implementation of tasks of specialists’ training by universities. The relevance is determined by a dropout trends in training years. The authors analyze the results of the specialists’ training and graduation; also they determine the goal and objectives of the re...

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Autores principales: Aleksandr I. Bokarev, Еlena S. Denisova, Aleksandr M. Dobrenko, Vitaliy S. Serdyuk
Formato: article
Lenguaje:RU
Publicado: National Research Mordova State University 2018
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spelling oai:doaj.org-article:af5a37a9a009463ebd07e1b777f9f4b12021-12-02T02:44:47ZMethods for Optimization of Student’s Number in Higher Educational Institutions10.15507/1991-9468.093.022.201804.648-6621991-94682308-1058https://doaj.org/article/af5a37a9a009463ebd07e1b777f9f4b12018-12-01T00:00:00Zhttp://edumag.mrsu.ru/index.php/en/articles-en/83-18-4/700-10-15507-1991-9468-092-022-201804-4https://doaj.org/toc/1991-9468https://doaj.org/toc/2308-1058Introduction. The article deals with implementation of tasks of specialists’ training by universities. The relevance is determined by a dropout trends in training years. The authors analyze the results of the specialists’ training and graduation; also they determine the goal and objectives of the research. The study purpose is to identify specialists’ training patterns and to develop methods to optimize the students’ number in training years according to the final results. Materials and Methods. Results of training and graduates’ number for 2012-2017 comprised material for the study. An approach to provide management of assignment for higher education professionals training has been developed, and it is the students’ number optimization methodology in years of study according to the final results. It links initial and final results into one line and predicts intermediate results that ensure fulfillment of graduates’ training orders not lower than the established final results. The following general scientific methods are used in the article: compilation, benchmarking, synthesis and normative forecasting. Results. Optimization methodologies in years of education concerning the final results were tested. The findings showed that the final result directly depends on the intermediate results; the students’ number decline can be brought to optimal values if initial and final results are determined and linked with each other. Discussion and Conclusion. The possibility to bring students’ number reduction into line with optimal values is proved theoretically and practically if the forecast of graduation is provided. Thus the forecast of optimal intermediate results is the main link for educational management methods development for specialists’ training tasks. It is an area for further research. The contribution to science consists in the development of methods for predicting the optimal number of students in the year regarding to the final result. The article’s materials will be useful to the permanent composition of professional educational institutions for the development of measures tar geted control in the educational process.Aleksandr I. BokarevЕlena S. DenisovaAleksandr M. DobrenkoVitaliy S. Serdyuk National Research Mordova State Universityarticleassignment on specialists’ trainingstudents’ drop outtrends in specialists’ trainingspecialists’ graduationoptimization of students’ numberEducationLRUИнтеграция образования, Vol 22, Iss 4, Pp 648-662 (2018)
institution DOAJ
collection DOAJ
language RU
topic assignment on specialists’ training
students’ drop out
trends in specialists’ training
specialists’ graduation
optimization of students’ number
Education
L
spellingShingle assignment on specialists’ training
students’ drop out
trends in specialists’ training
specialists’ graduation
optimization of students’ number
Education
L
Aleksandr I. Bokarev
Еlena S. Denisova
Aleksandr M. Dobrenko
Vitaliy S. Serdyuk
Methods for Optimization of Student’s Number in Higher Educational Institutions
description Introduction. The article deals with implementation of tasks of specialists’ training by universities. The relevance is determined by a dropout trends in training years. The authors analyze the results of the specialists’ training and graduation; also they determine the goal and objectives of the research. The study purpose is to identify specialists’ training patterns and to develop methods to optimize the students’ number in training years according to the final results. Materials and Methods. Results of training and graduates’ number for 2012-2017 comprised material for the study. An approach to provide management of assignment for higher education professionals training has been developed, and it is the students’ number optimization methodology in years of study according to the final results. It links initial and final results into one line and predicts intermediate results that ensure fulfillment of graduates’ training orders not lower than the established final results. The following general scientific methods are used in the article: compilation, benchmarking, synthesis and normative forecasting. Results. Optimization methodologies in years of education concerning the final results were tested. The findings showed that the final result directly depends on the intermediate results; the students’ number decline can be brought to optimal values if initial and final results are determined and linked with each other. Discussion and Conclusion. The possibility to bring students’ number reduction into line with optimal values is proved theoretically and practically if the forecast of graduation is provided. Thus the forecast of optimal intermediate results is the main link for educational management methods development for specialists’ training tasks. It is an area for further research. The contribution to science consists in the development of methods for predicting the optimal number of students in the year regarding to the final result. The article’s materials will be useful to the permanent composition of professional educational institutions for the development of measures tar geted control in the educational process.
format article
author Aleksandr I. Bokarev
Еlena S. Denisova
Aleksandr M. Dobrenko
Vitaliy S. Serdyuk
author_facet Aleksandr I. Bokarev
Еlena S. Denisova
Aleksandr M. Dobrenko
Vitaliy S. Serdyuk
author_sort Aleksandr I. Bokarev
title Methods for Optimization of Student’s Number in Higher Educational Institutions
title_short Methods for Optimization of Student’s Number in Higher Educational Institutions
title_full Methods for Optimization of Student’s Number in Higher Educational Institutions
title_fullStr Methods for Optimization of Student’s Number in Higher Educational Institutions
title_full_unstemmed Methods for Optimization of Student’s Number in Higher Educational Institutions
title_sort methods for optimization of student’s number in higher educational institutions
publisher National Research Mordova State University
publishDate 2018
url https://doaj.org/article/af5a37a9a009463ebd07e1b777f9f4b1
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AT elenasdenisova methodsforoptimizationofstudentsnumberinhighereducationalinstitutions
AT aleksandrmdobrenko methodsforoptimizationofstudentsnumberinhighereducationalinstitutions
AT vitaliysserdyuk methodsforoptimizationofstudentsnumberinhighereducationalinstitutions
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