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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National Research Mordova State University
2018
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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) |
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assignment on specialists’ training students’ drop out trends in specialists’ training specialists’ graduation optimization of students’ number Education L |
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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 |
work_keys_str_mv |
AT aleksandribokarev methodsforoptimizationofstudentsnumberinhighereducationalinstitutions AT elenasdenisova methodsforoptimizationofstudentsnumberinhighereducationalinstitutions AT aleksandrmdobrenko methodsforoptimizationofstudentsnumberinhighereducationalinstitutions AT vitaliysserdyuk methodsforoptimizationofstudentsnumberinhighereducationalinstitutions |
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