Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control Purposes
The article is devoted to the identification and analysis of indicators of the risk of low-quality education in Russian universities. In 2021-2022, the approach to higher education inspections has changed significantly: accreditation monitoring has been introduced, it includes eight indicators. Howe...
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Format: | Article |
Language: | English |
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Moscow Polytechnic University
2023-02-01
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Series: | Высшее образование в России |
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Online Access: | https://vovr.elpub.ru/jour/article/view/4218 |
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author | E. A. Ponomareva A. D. Savina N. S. Antonenko |
author_facet | E. A. Ponomareva A. D. Savina N. S. Antonenko |
author_sort | E. A. Ponomareva |
collection | DOAJ |
description | The article is devoted to the identification and analysis of indicators of the risk of low-quality education in Russian universities. In 2021-2022, the approach to higher education inspections has changed significantly: accreditation monitoring has been introduced, it includes eight indicators. However, this monitoring was formed by the expert community, so the results of its testing in practice have yet to be analyzed. The purpose of this work is to identify risk factors for estimation the likelihood of violations of mandatory requirements by universities, and to develop recommendations for expanding the set of risk indicators included in accreditation monitoring. The main methods used in the work are methods of quantitative analysis, including econometric modeling. The novelty of the work is determined by the approach used: risk indicators are identified using a quantitative econometric analysis of data on the observed characteristics and results of inspections of Russian universities in 2015-2019. The results of the study indicate the possibility of supplementing the set of accreditation monitoring indicators. As additional indicators, first of all, various characteristics of research activities of universities can be used. Such a change in accreditation monitoring will increase its effectiveness as a preliminary assessment tool used in the implementation of a risk-based approach to state control. In cases where the assessment of even extended monitoring is ambiguous, the quantitative model proposed by the authors can be used. |
format | Article |
id | doaj-art-15294d450f084ddea0f754db40657645 |
institution | Kabale University |
issn | 0869-3617 2072-0459 |
language | English |
publishDate | 2023-02-01 |
publisher | Moscow Polytechnic University |
record_format | Article |
series | Высшее образование в России |
spelling | doaj-art-15294d450f084ddea0f754db406576452025-02-01T13:14:31ZengMoscow Polytechnic UniversityВысшее образование в России0869-36172072-04592023-02-01322436010.31992/0869-3617-2023-32-2-43-602353Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control PurposesE. A. Ponomareva0A. D. Savina1N. S. Antonenko2Laboratory of socioeconomic problems of regulationLaboratory of socio-economic problems of regulationInstitute of Control and Supervision; Russian Presidential Academy of National Economy and Public AdministrationThe article is devoted to the identification and analysis of indicators of the risk of low-quality education in Russian universities. In 2021-2022, the approach to higher education inspections has changed significantly: accreditation monitoring has been introduced, it includes eight indicators. However, this monitoring was formed by the expert community, so the results of its testing in practice have yet to be analyzed. The purpose of this work is to identify risk factors for estimation the likelihood of violations of mandatory requirements by universities, and to develop recommendations for expanding the set of risk indicators included in accreditation monitoring. The main methods used in the work are methods of quantitative analysis, including econometric modeling. The novelty of the work is determined by the approach used: risk indicators are identified using a quantitative econometric analysis of data on the observed characteristics and results of inspections of Russian universities in 2015-2019. The results of the study indicate the possibility of supplementing the set of accreditation monitoring indicators. As additional indicators, first of all, various characteristics of research activities of universities can be used. Such a change in accreditation monitoring will increase its effectiveness as a preliminary assessment tool used in the implementation of a risk-based approach to state control. In cases where the assessment of even extended monitoring is ambiguous, the quantitative model proposed by the authors can be used.https://vovr.elpub.ru/jour/article/view/4218quality of higher educationstate control in higher educationaccreditation monitoringrisk indicatorsrisk-based regulation |
spellingShingle | E. A. Ponomareva A. D. Savina N. S. Antonenko Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control Purposes Высшее образование в России quality of higher education state control in higher education accreditation monitoring risk indicators risk-based regulation |
title | Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control Purposes |
title_full | Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control Purposes |
title_fullStr | Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control Purposes |
title_full_unstemmed | Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control Purposes |
title_short | Risk-based Regulation of Russian Universities: Risk Indicators and Their Use for State Control Purposes |
title_sort | risk based regulation of russian universities risk indicators and their use for state control purposes |
topic | quality of higher education state control in higher education accreditation monitoring risk indicators risk-based regulation |
url | https://vovr.elpub.ru/jour/article/view/4218 |
work_keys_str_mv | AT eaponomareva riskbasedregulationofrussianuniversitiesriskindicatorsandtheiruseforstatecontrolpurposes AT adsavina riskbasedregulationofrussianuniversitiesriskindicatorsandtheiruseforstatecontrolpurposes AT nsantonenko riskbasedregulationofrussianuniversitiesriskindicatorsandtheiruseforstatecontrolpurposes |