Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System Development

The scientific problem of the study is related to the identification of educational migration for university admission against the background of youth migration. The practical problems of the study are focused on the creation of analytical conditions for decision-making and planning for the educatio...

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Main Authors: A. V. Dozhdikov, E. V. Kornilova
Format: Article
Language:English
Published: Moscow Polytechnic University 2023-03-01
Series:Высшее образование в России
Subjects:
Online Access:https://vovr.elpub.ru/jour/article/view/4266
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author A. V. Dozhdikov
E. V. Kornilova
author_facet A. V. Dozhdikov
E. V. Kornilova
author_sort A. V. Dozhdikov
collection DOAJ
description The scientific problem of the study is related to the identification of educational migration for university admission against the background of youth migration. The practical problems of the study are focused on the creation of analytical conditions for decision-making and planning for the education system development: the distribution of enrollment targets, financing and resource supporting the infrastructure development, and the development of the human resources potential of Russian universities. The object of the study is interregional youth educational migration for university admission. Federal universities data is described as the object of present study. Sources: official state statistics data of 2017-2021, “big data” is the results of passing the Unified State Examinations (USE) and the choice of university and direction of study by students for 2020. The research methodology is connected with the analysis of official statistics, the Russian regions typology according to the characteristics of youth migration: recipient regions, donor regions, regions of a mixed or “transit” type (leaving graduates are replaced by newcomers), closed (low intensity of migration processes). Educational migration was identified by analyzing and comparing databases on the results of the USE and the results of university admission. Stable patterns of migration processes, migration trends and directions have been identified as a result of the study.
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issn 0869-3617
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series Высшее образование в России
spelling doaj-art-be881f1f2fe841a0887bef3a5e95535f2025-02-01T13:14:31ZengMoscow Polytechnic UniversityВысшее образование в России0869-36172072-04592023-03-01323678310.31992/0869-3617-2023-32-3-67-832363Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System DevelopmentA. V. Dozhdikov0E. V. Kornilova1Federal Institute for Educational Development, Russian Presidential Academy of National Economy and Public AdministrationFederal Institute for Educational Development, Russian Presidential Academy of National Economy and Public AdministrationThe scientific problem of the study is related to the identification of educational migration for university admission against the background of youth migration. The practical problems of the study are focused on the creation of analytical conditions for decision-making and planning for the education system development: the distribution of enrollment targets, financing and resource supporting the infrastructure development, and the development of the human resources potential of Russian universities. The object of the study is interregional youth educational migration for university admission. Federal universities data is described as the object of present study. Sources: official state statistics data of 2017-2021, “big data” is the results of passing the Unified State Examinations (USE) and the choice of university and direction of study by students for 2020. The research methodology is connected with the analysis of official statistics, the Russian regions typology according to the characteristics of youth migration: recipient regions, donor regions, regions of a mixed or “transit” type (leaving graduates are replaced by newcomers), closed (low intensity of migration processes). Educational migration was identified by analyzing and comparing databases on the results of the USE and the results of university admission. Stable patterns of migration processes, migration trends and directions have been identified as a result of the study.https://vovr.elpub.ru/jour/article/view/4266youth migrationeducational migrationhigher educationyouthdonor regionsrecipient regionsfederal universitiesuniversity networkeducational policydata analyticsbig datadata scienceclustering and classification of regions
spellingShingle A. V. Dozhdikov
E. V. Kornilova
Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System Development
Высшее образование в России
youth migration
educational migration
higher education
youth
donor regions
recipient regions
federal universities
university network
educational policy
data analytics
big data
data science
clustering and classification of regions
title Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System Development
title_full Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System Development
title_fullStr Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System Development
title_full_unstemmed Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System Development
title_short Educational Migration of Applicants Among Regions of the Russian Federation as a Data Source for Planning the Higher Education System Development
title_sort educational migration of applicants among regions of the russian federation as a data source for planning the higher education system development
topic youth migration
educational migration
higher education
youth
donor regions
recipient regions
federal universities
university network
educational policy
data analytics
big data
data science
clustering and classification of regions
url https://vovr.elpub.ru/jour/article/view/4266
work_keys_str_mv AT avdozhdikov educationalmigrationofapplicantsamongregionsoftherussianfederationasadatasourceforplanningthehighereducationsystemdevelopment
AT evkornilova educationalmigrationofapplicantsamongregionsoftherussianfederationasadatasourceforplanningthehighereducationsystemdevelopment