Desenvolvimento do ensino superior nas regiões da Rússia: número do pessoal pedagógico
- Iuliia Pinkovetskaia
Resumo
A pesquisa visou a avaliar os indicadores que caracterizam o número de professores nas universidades e outras instituições de ensino superior (IES) nas regiões da Rússia. Esses indicadores foram: (1) o número de professores por mil habitantes em idade de trabalhar em cada região, (2) o número médio de professores por IES na região, (3) a proporção de professores doutorados em ciências (DSc) e doutorados (PhD) no número de professores de IES na região e (4) o número de alunos por professor de IES. Foram utilizadas informações estatísticas oficiais das 82 regiões da Rússia. Constatou-se que, em média, há pouco mais de dois professores trabalhando em IES para cada mil residentes em idade de trabalhar. O número médio de professores por IES na Rússia é de 158. Nas universidades, o número médio de estudantes por docente ultrapassa 20. A abordagem metodológica proposta e os resultados obtidos são uma novidade científica, já que a avaliação das características regionais do número de professores nas regiões russas não foi realizada antes.
Palavras-chave
instituições de ensino superior, universidades, pessoal docente, estudantes, desenvolvimento regional
Referências
- Abel, J., & Deitz, R. (2011). Do colleges and universities increase their region’s human capital? Journal of Economic Geography, 12(3), 667-691. https://doi.org/10.1093/jeg/lbr020 DOI: https://doi.org/10.1093/jeg/lbr020
- Afeez, B., Maxwell, O., Otekunrin, O., & Happiness, O. (2018). Selection and Validation of Comparative Study of Normality Test. American Journal of Mathematics and Statistics, 8(6), 190-201.
- Anisimova, E., & Babich, S. (2016). Study of the main trends in the field of higher education. Economics and Management in the XXI Century: Development Trends, (33-2), 154-158.
- Cervantes, M. (2017). Higher education institutions in the knowledge triangle. Foresight and STI
- Governance, 11(2), 27-42. https://doi.org/10.17323/2500-2597.2017.2.27.42 DOI: https://doi.org/10.17323/2500-2597.2017.2.27.42
- Ciriaci, D. (2014). Does university quality influence the interregional mobility of students and graduates? The case of Italy. Regional Studies, 48(10), 1592-1608. https://doi.org/10.1080/00343404.2013.821569 DOI: https://doi.org/10.1080/00343404.2013.821569
- Cour des Comptes. (2019). La mobilité internationale des étudiants : S'organiser pour les défis à venir. https://www.vie-publique.fr/sites/default/files/rapport/pdf/194000726.pdf
- Douglass, J. (2011). Higher education’s new global order: How and why governments are creating structured opportunity markets. Educational Studies Moscow, (1), 73-98. https://doi.org/10.17323/1814-9545-2011-1-73-98 DOI: https://doi.org/10.17323/1814-9545-2011-1-73-98
- Federal State Statistics Service. (2021). https://gks.ru/bgd/regl/B19_16/Main.htm
- Guri-Rosenblit, S., Sebkova, H., & Teichler, U. (2007). Massification and diversity of higher education systems: interplay of complex dimensions. Higher Education Policy, 20(4), 373-389. https://doi.org/10.1057/palgrave.hep.8300158 DOI: https://doi.org/10.1057/palgrave.hep.8300158
- Jaspers, K. (1960). The Idea of the University. Beacon Press.
- Kirillina, Y. (2015). Quality in higher education in quantitative indicators. Problems and Prospects of Education Development in Russia, (33), 132-136.
- Kurilova, O. (2020). Features of changes in the number and structure of university teachers. Regional Bulletin, 17(56), 48-49.
- Lomonosov, A. (2013). Definition of students’ number standards for one staff position of the teaching staff. Creative Economy, 12(84), 102-111.
- Maksimova, I. (2019). Prospects for increasing the competitiveness of higher education in Russia. Scientific Bulletin of the Volgograd Branch of the RANEPA, (2), 81-93.
- Melikyan, A. (2021). Statistical analysis of the dynamics of performance indicators of Russian universities. Questions of Statistics, 28(1), 38-49. https://doi.org/10.34023/2313-6383-2021-28-1-38-49 DOI: https://doi.org/10.34023/2313-6383-2021-28-1-38-49
- Ministry of Science and Higher Education of the Russian Federation. (2021). Official statistical information on additional professional and higher education. https://minobrnauki.gov.ru/action/stat/highed/
- OECD. (2019). Education at a Glance 2019: OECD Indicators. OECD Publishing. https://doi.org/10.1787/f8d7880d-en. DOI: https://doi.org/10.1787/f8d7880d-en
- Pinkovetskaia, I., & Slepova, V. (2018). Estimation of Fixed Capital Investment in SMEs: the Existing Differentiation in the Russian Federation. Business Systems Research, 9(1), 65-78. https://doi.org/10.2478/bsrj-2018-0006 DOI: https://doi.org/10.2478/bsrj-2018-0006
- Pinkovetskaia, I., Lebedev, A., Slugina, O., Arbeláez, D, & Rojas, M. (2021). Informal Personal Financing of Entrepreneurs: Gender Characteristics. Universal Journal of Accounting and Finance, 9(3), 442-449. https://doi.org/10.13189/ujaf.2021.090319 DOI: https://doi.org/10.13189/ujaf.2021.090319
- Popova, S., & Vdovina, E. (2017). Specificity of higher professional education in the Penza region. Bulletin of Penza State University, 4(20), 8-11.
- Rahman, M., & Wu, H. (2013). Tests for normality: A comparative study. Far East Journal of Mathematical Sciences, 75(1), 143-164.
- Razali, N., & Yap, B. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics, 2(1), 21-33.
- Romanov, E. (2018). Threats to the personnel potential of regional universities. Economy of the region, 14(1), 95-108. https://doi.org/10.17059/2018-1-8 DOI: https://doi.org/10.17059/2018-1-8
- Seier, E., & Bonett, D. (2002). A test of Normality with high uniform power. Computational Statistics & Data Analysis, (40), 435-445. DOI: https://doi.org/10.1016/S0167-9473(02)00074-9
- Stiglitz, J. (2014). Creating a Learning Society: A New Approach to Growth, Development, and Social Progress. Columbia University Press. DOI: https://doi.org/10.7312/stig15214
- Unger, M., & Polt, W. (2017). The knowledge triangle between research, education and innovation – A conceptual discussion. Foresight-Russia, (2), 10-26. https://doi.org/10.17323/2500-2597.2017.2.10.26 DOI: https://doi.org/10.17323/2500-2597.2017.2.10.26
- Vadimova, I. (2015). Transition to new relations number of teachers and students. Counselor in the field of education, (6), 14-18.
- Vardanyan, G., & Keshishyan, G. (2020). Comparative statistical analysis of the dynamics number and structure of the professor-teaching staff of higher educational institutions of the RF and RA for the past decade. In The collection: Technologies in education - 2020. Collection of materials of the International Scientific and Methodological Conference. Novosibirsk (pp. 384-393).
- Vlasova, O. (2021). The influence of transformation processes in the higher education system on the number of its staff. Baltic Humanitarian Journal, 1(34), 59-62. https://doi.org/10.26140/bgz3-2021-1001-0013 DOI: https://doi.org/10.26140/bgz3-2021-1001-0013
- Yap, B, & Sim, C. (2011). Comparisons of various types of normality tests. Journal of Statistical Computation and Simulation, 81(12), 2141-2155. DOI: https://doi.org/10.1080/00949655.2010.520163
- Yazici, B., & Asma, S. (2007). A comparison of various tests of normality. Journal of Statistical Computation and Simulation, 77(2), 175-183. DOI: https://doi.org/10.1080/10629360600678310
Downloads
Não há dados estatísticos.