Scenarios for the Development of Elderly Education in Russia

  • Gennadii G. Sorokin Department of Business Informatics and Mathematics. Tyumen Industrial University, Russian Federation. https://orcid.org/0000-0002-9819-8988
Keywords: elderly education, sociology of management, social network, demographic aging, development scenario, forecast model.

Abstract

The paper delves into the problem of mass education for senior citizens in Russia and assesses the capabilities of the country’s system of non-formal elderly education to overcome this problem. It proves the expediency to use the resources of the national education network in social management strategies aimed at increasing the educational level of the older generation. The research demonstrates that it is necessary to purposefully manage the national network of elderly education and forecast the outcome of such an influence. Having analyzed specialized elderly education projects, the authors identify the trends in the functioning of elderly education in Russia and establish the factors in its development. The study provides forecast scenarios for the development of elderly education. Summarizing the scenarios presented, it is worth noting that the government policy will have a decisive effect on the system of elderly education. Undoubtedly, education for senior citizens in Russia will undergo rapid development due to favorable conditions in the country.

Downloads

Download data is not yet available.

Author Biography

Gennadii G. Sorokin, Department of Business Informatics and Mathematics. Tyumen Industrial University, Russian Federation.

Cand. Sci. (Sociological), Associate Professor, Department of Business Informatics and Mathematics. Tyumen Industrial University, Russian Federation.

References

Aleksejeva, L. (2016). Country’s competitiveness and sustainability: Higher education impact. Journal of Security and Sustainability Issues, 5(3), 355–363. https://doi.org/10.9770/jssi.2015.5.3(4)

Barsukov, V. N. (2019). From the demographic dividend to population ageing: World trends in the system-wide transition. Economic and Social Changes: Facts, Trends, Forecast, 12(4), 167–182. https://doi.org/10.15838/esc.2019.4.64.11

Chahrak, N., Ugryniuk, V. (2016). Ageing of the population in the developed countries: New challenges to education sector. Modern Science – Moderni Veda, 3(6), 86–96.

Driouchi, A., & Gamar, A. (2017). The gap between educational & social intergenerational mobility in Arab countries. Journal of Eurasian Social Dialogue, 2(1), 1–16.

Dudko, K. Yu. (2016). Modern theories of demographic aging. Economic Sciences and Humanities, 1(288), 3–7.

Dzhurinskiy, A. N. (2018). Education for people of the “third age” in Russia. Education and Science, 20(10), 156–175. https://doi.org/10.17853/1994-5639-2018-10-156-175

Eakin, T., & Witten, T. M. (2018). Mechanics of population aging and survival. Biogerontology, 19(3-4), 251–269. https://doi.org/10.1007/s10522-018-9755-7

Erokhin, N. A. (2018). Aging of the population in Russia as a political problem. Bulletin of the Moscow State Region University, 2, 57–68. https://doi.org/10.18384/2224-0209-2018-2-892

Gelman, V. Ya. (2019). Lifelong learning and population aging. Medical Education and Professional Development, 10(2-34), 40–51.

Ghosh, D. (2016). Impact of gender aspect on self-perceived quality of life of elderly. Journal of Eurasian Social Dialogue, 1(1), 26–41.

Ignatjeva, S., Volosnikova, L., & Efimova, G. (2017). Assessment of inclusive educational space in higher education institution. Journal of Security and Sustainability Issues, 7(1), 123–132. https://doi.org/10.9770/jssi.2017.6.4(10)

Kononygina, T. M. (2006). Geragogy: A guide for those involved in elderly education. Orel: Krasnaya stroka.

Lebedeva, I. M., & Fedorova, A. Yu. (2016). Macroeconomic planning and forecasting. Saint Petersburg: Universitet ITMO Publ.

Litau, E. Y. (2018). Cognitive science as a pivot of teaching financial disciplines. In Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020 (pp. 72–80).

Makreshanska-Mladenovska, S., & Petrevski, G. (2017). Decentralization, fiscal transfers and income inequality in Central and Eastern European countries. Journal of Eurasian Economic Dialogue, 2(6), 44–54.

Medaiskis, T., Gudaitis, T., & Mečkovski, J. (2018). Second pension pillar participants’ behaviour: The Lithuanian case. Entrepreneurship and Sustainability Issues, 6(2), 620–635. http://doi.org/10.9770/jesi.2018.6.2(11)

Mityaeva, A. M., Anikeeva, O. A., & Volzhina, O. B. (2019). Education for the elderly: New goals, functions and forms. Scientific Notes of Orel State University. Series: The Humanities and Social Sciences, 2(83), 288–292.

Mosina, O. A., & Akhtaov, R. A. (2019). Strategic directions of modern elderly education. Modern Problems of Science and Education, 3, 18.

Mosina, O. A., & Gonezhuk, A. G. (2019). Modern trends in the development of elderly education in Russia. Modern High Technologies, 3-2, 284–288.

Ogorodnikova, Yu. G., & Kondratieva, A. V. (2018). The influence of population aging on the Russian economy. Bulletin of TISBI, 4, 89–97.

Pashkova, N. A. (2006). The main forecasting methods used in state regulation of economy at the present stage. Russian Journal of Entrepreneurship, 7(9), 43–45.

Ramensky, S. E., Ramenskaya, G. P., & Ramenskaya, V. S. (2008, January). Issues of using qualified labor of pensioners at enterprises. In L. M. Kachalova (Ed.), The third age: The older generation in today’s information environment: Proceedings of All-Russia interdisciplinary scientific conference (pp. 77–82). Moscow, Russia: SGU Publ.

Sabatini, F., Ventura, M., Yamamura, E., & Zamparelli, L. (2017). Fairness and the unselfish demand for redistribution by taxpayers and welfare recipients. Journal of Eurasian Economic Dialogue, 2(6), 32–43.

Sovi, A. (1977). The general theory of population. Moscow: Progress.

Stepanova, M. V. (2015). Socio-pedagogical system of extended education for people of pre-retirement and retirement age. Man and Education, 4(45), 128–133.

Suprunenko, G. A. (2018). The interaction of social institutions in the social support for older people (the context of the activities of charity organizations). National Journal of Social Work, 2, 125–132.

Tan, S. C., Ho, C. M., & Pang, V. (2016). Education inequality: Become better or worse? Journal of Eurasian Social Dialogue, 1(1), 1–5.

Taziev, S. F. (2015). Active life of the senior citizens through education. International Education Studies, 8(4), 134–142. https://doi.org/10.5539/ies.v8n4p134

Trofimov, I. D. (2017). Stability of the labour shares: Evidence from OECD economies. Journal of Eurasian Economic Dialogue, 2(6), 1–20.

Volchik, V., & Maslyukova, E. (2017). Performance and sustainability of higher education: Key indicators versus academic values. Journal of Security and Sustainability Issues, 6(3), 501–512. https://doi.org/10.9770/jssi.2017.6.3(14)

Watanabe, M., Miyake, Y., & Yasuoka, M. (2018). Unemployment, income growth and social security. Journal of Eurasian Economic Dialogue, 3(3), 21–30.
Published
2020-03-21
How to Cite
Sorokin, G. G. (2020). Scenarios for the Development of Elderly Education in Russia. Amazonia Investiga, 9(27), 478-484. https://doi.org/10.34069/AI/2020.27.03.51
Section
Articles