Neural network modeling of trends in Russia's higher education development from the perspective of human capital formation

Перова, В.И.; Mamaeva, N.A.; Zakharenko, E.S.

doi:10.24891/ea.18.4.642

Cited by 4 publications

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“…At the present stage, one of the main tasks of economic development of the regions of the Russian Federation and ensuring their national security, including economic security (Mityakov et al, 2013;Lapaev, 2016), is the development of physical culture and sport. According to Yang et al (2020) the development of physical culture and the sports industry contributes to regional sustainable development, as well as the accumulation of human capital (Makarov and Kleiner, 2007;Kuznetsov, 2012;Perova et al, 2019). Human capital as one of the foundations of innovative development of the economy of a country characterizes the population's quality of life.…”

Section: Introductionmentioning

confidence: 99%

Research of Youth Sports in the Russian Federation as a Factor of Human Capital Formation Using Neural Networks

Letiagina¹,

Перова²,

Gutko³

et al. 2020

Human, Technologies and Quality of Education, 2020

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With the use of neural network modeling, the authors analyzed the current state of youth sports in rural areas of Russian regions, which characterizes human capital. The simulation uses neural networks implemented in the Deductor package – self-organizing Kohonen maps. As a result of the analysis, the authors obtained a distribution of regions in five clusters. The composition and characteristics of each cluster are presented. The regions with the highest indicators of sports development in rural areas have been identified. This paper shows the influence of the indicators considered on human capital, which is one of the dominant internal factors of socio-economic potential of territories. The results of the research are of practical significance for a comparative analysis of the development of children’s and youth sports in the regions of Russia and can be taken into account in the strategic planning of the development of the sports industry in the context of increasing the quality of human capital.

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Section: Introductionmentioning

confidence: 99%

Research of Youth Sports in the Russian Federation as a Factor of Human Capital Formation Using Neural Networks

Letiagina¹,

Перова²,

Gutko³

et al. 2020

Human, Technologies and Quality of Education, 2020

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Human, Technologies and Quality of Education, 2020

2020

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This paper presents an analysis of the quality of the adaptation of the transnational teacher training programme for character education "Arete catalyst" to the socio-cultural context of Latvia. Based on the theory of cultural adaptation of educational programmes, and on a qualitative analysis of documentary sources, the quality of the adaptation was discussed by comparing the features of the adapted programme with Latvian societal needs and policy makers' guidelines for character education (research question 1), and with the legal and institutional requirement for teacher training (research question 2). The findings revealed that the adapted Latvian programme responds widely to the needs of Latvian society and of the educational sector regarding character and virtue education, and addresses values and virtue education, as foreseen in the governmental guidelines for upbringing at school. It also complies with the Law of Education and the regulations of the Cabinet of Ministers regarding the professional development of teachers, and with the rules for approval and implementation of teacher training programmes at the University of Latvia. The adaptation process described can be useful for academics adapting existing programs to new socio-cultural contexts. This work should be continued by piloting and refining the adapted programme.

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Analysis of human capital development in Russia by means of physical culture and sports using neural network modeling

Lyubushin

Letiagina

Перова

et al. 2022

EATP

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Subject. The article investigates the human capital in the regions of the Russian Federation in the context of health promotion and active longevity of the population of the country. Objectives. The purpose is to examine the state of human capital driven by the development of physical culture and sports in Russian regions, using neural network modeling. Methods. Neural networks are used as a method of studying the multidimensional statistical data. The method of data clustering based on neural network modeling is not affiliated with model constraints. This method is aimed at self–training of neural networks, i.e. self-organizing Kohonen maps, and is a promising means of visual representation of multidimensional data space. Results. Using the neural network modeling, we placed 85 Russian regions in six cluster formations. We assessed the influence of each studied indicator on cluster construction. The paper demonstrates a strong difference in the number of regions of the Russian Federation in clusters, presents average values of the considered indicators in clusters for 2021. Conclusions. The study shows uneven development of human capital in Russian regions from the point of view of physical culture and sports, which predetermines different strategies for the development of the regional sports sphere. The positive trend in the number of sports facilities, personnel, and population engaged in physical culture and sports is facilitated by a systems approach based on program documents, which focuses on strengthening the health of citizens and their active longevity.

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Neural network modeling of trends in Russia's higher education development from the perspective of human capital formation

Cited by 4 publications

References 0 publications

Research of Youth Sports in the Russian Federation as a Factor of Human Capital Formation Using Neural Networks

Research of Youth Sports in the Russian Federation as a Factor of Human Capital Formation Using Neural Networks

Human, Technologies and Quality of Education, 2020

Analysis of human capital development in Russia by means of physical culture and sports using neural network modeling

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