Skip to main content

BRIEF RESEARCH REPORT article

Front. Educ., 16 May 2023
Sec. Leadership in Education
This article is part of the Research Topic Education in the Structure of the Social and Investment Model of Economic Growth: Scenarios of Development and Mechanisms of Management View all 12 articles

Alternative mechanisms of managing the education’s development in the social investment model of Russia’s economic growth: standardization versus deregulation

Valentina Yu Dianova&#x;Valentina Yu Dianova1Varvara G. Krasilnikova
&#x;Varvara G. Krasilnikova2*Kirena G. Kelina&#x;Kirena G. Kelina2Anton V. Nazarenko&#x;Anton V. Nazarenko3
  • 1Plekhanov Russian University of Economics, Moscow, Russia
  • 2Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
  • 3Moscow Polytechnic University, Moscow, Russia

Regression analysis is used to determine the contribution of the factors of managing the development of higher education – share of university branches – to increase the population’s quality of life. To determine the optimal approach to managing education’s development in the social investment model of Russia’s economic growth with alternative mechanisms of standardization and deregulation. The results of the research show that absolute standardization, as well as absolute deregulation of higher education, does not allow achieving significant results in the sphere of increase in quality of life in Russia. The determined and substantiated optimal scenario of managing the development of higher education in Russia to increase the quality of life envisages a foundation on a flexible approach, which envisages the combination of standardization and deregulation. It is recommended to entirely refuse branches in favor of main universities, refuse government financing in favor of fee-based education and refuse diversification of education forms in favor of the intramural form of study. This allows raising the quality of life by 13.26% (up to 70.87 points). For practical implementation of this approach, it is offered to allow each region to form their own programs of development of higher education with the foundation of the main federal principles.

Introduction

The transition to a new – social - investment model of Russia’s economic growth envisages two key changes. The first one is connected to a new criterion of evaluating economic growth and its new landmark – the population’s quality of life, due to which the economic growth rate is replaced by social progress (Iglesias et al., 2022). Acceleration of the economic growth rate is often accompanied by social costs. For example, industrialization and digital modernization of the economy were accompanied by the growth of unemployment and social tension, due to which the influence of quick economic growth on quality of life was contradictory (Chang et al., 2022). Contrary to this, economic growth is not a goal in itself in the new model but is a task that is solved on the path to increase in quality of life, which forms a socially responsible approach to the acceleration of the rate of economic growth (Bilyalova et al., 2021).

The second change consists in selecting a new source of economic growth, which is higher education. In the social investment model of economic growth, an important role belongs (for the first time) not only to the achieved result but also to its source (Hadi et al., 2022). The advantages of economic growth, which is based on borrowed technologies and unskilled labor, are short-term (Khalifé et al., 2022). Long-term advantages are guaranteed in the case of the use of highly-skilled personnel, which can create and implement innovations (Ranjan et al., 2021). That’s why the development of higher education, which stimulates mass lifelong learning and systemic increase in the level of qualification among the economically active population, is the top-priority source of modern economic growth (Wang and Cui, 2021).

Thus, the social investment model of Russia’s economic growth is based on the principle of circularity, according to which economic growth is based on higher education, which stimulates the increase in quality of life. The result of economic growth is an increase in quality of life, which expands opportunities for raising the level of education in society. Practical implementation of the described conceptual model is difficult due to the uncertainty of the preferred mechanism of managing education’s development in the social investment model of Russia’s economic growth (Timchenko et al., 2021).

Chaotic simultaneous use of alternative mechanisms – standardization and deregulation – slows down the development of higher education in Russia. This paper aims to solve the formulated problem and to determine the optimal approach to managing education’s development in the social investment model of Russia’s economic growth with alternative mechanisms of standardization and deregulation. The hypothesis is as follows: it is necessary to combine these mechanisms in a certain proportion to achieve the best result in the sphere of increase in quality of life.

Literature review

The approach to managing the development of higher education, which envisages standardization, is described in the works Bentley-Gockmann (2020), Olivier and Burton (2020), Shams and Hasan (2020), and Wright and Horta (2018). The alternative approach to managing the development of higher education, which consists in deregulation, is studied by Goyal and Sergi (2015), Popkova and Zmiyak (2019), Langrafe et al. (2020), Rehman and Iqbal (2020), Ruiz et al. (2020), and Sciarelli et al. (2020).

The main parameters that define the outlines and differences between the mechanisms of managing education’s development in the social investment model of economic growth are as follows:

• Share of university branches, the growth of which leads to flexibility of universities and expansion of geography of their presence, but also to reduction of possibilities to control the quality of education. Yang et al. (2020) and Zhang and You (2022) recommend increasing the branch network of universities during the implementation of the social investment model of economic growth, to raise the accessibility of higher education in society;

• Share of intramural students, the growth of which leads to an increase in the quality of education, but also to the reduction of the flexibility of the educational process. Bilal et al. (2020) and Peng et al. (2022) recommend performing a transfer from the intramural form of study to more modern forms, in particular, to distance education, during the implementation of the social investment model of economic growth to raise the flexibility of higher education and convenience of its receipt;

• Share of state-subsidized students, the growth of which leads to an increase in accessibility of higher education services for wide groups of the population but also to the reduction of the opportunities for receipt of income by universities and the reduction of universities’ entrepreneurial activity. Castro-Bedriñana et al. (2022) and Razak et al. (2022) recommend increasing investments in higher education, including budget financing of universities, during the implementation of the social investment model of economic growth.

Standardization in higher education implies a decrease in the share of university branches and reliance on leading universities, as well as the domination of state-subsidized intramural education (Piromalli, 2022). All three conditions are met simultaneously only in the case of absolute standardization (Liu, 2022).

Less strict and, accordingly, more flexible standardization allows for the development of distance education, which implies the almost complete refusal of the intramural form of education (Bağrıacık Yılmaz and Karataş, 2022; Segbenya et al., 2022; Turan et al., 2022; Toumpalidou and Konstantoulaki, 2023), and the development of entrepreneurial universities, which implies the reduction of state-subsidized education (Guerrero and Lira, 2023; Johnson et al., 2023). Here the key feature of the scenarios of standardization in higher education is the refusal of the development of a network of university branches.

Deregulation in higher education implies the expansion of the network of university branches, an increase in the volume of paid educational services provided by universities and the development of alternative – apart from intramural education – forms of education, including distance education. At that, the size of the network of university branches may vary (Wang and Crawford, 2019).

Alternative mechanisms of managing education’s development – standardization and deregulation – have been thoroughly studied separately from each other. However, their contribution to the implementation of the social investment model of economic growth has not been studied sufficiently and requires further elaboration.

The main result of implementing the social investment model of economic growth is the growth of the quality of life, for it is actually the return on social investments. As a result of the performed literature review, it is possible to conclude that the issues of raising the quality of life with the help of social investments were thoroughly studied in the existing publications of Erdin and Ozkaya (2020), Litvintseva and Karelin (2020), Kakinuma (2022), Sollis et al. (2022), and Imbulana Arachchi and Managi (2023).

Alternative mechanisms of managing education’s development in the social investment model of economic growth – standardization and deregulation – were also thoroughly researched. However, the cause-and-effect links of implementing the alternative mechanisms of managing education’s development and the quality of life remain uncertain, which is a literature gap.

The need to fill the discovered gap is explained by the fact that because of it, the implementation of the social investment model of economic growth is a “black box,” at the input of which there are alternative mechanisms of managing the education’s development: standardization and deregulation, and at the output – the quality of life. The contribution of alternative mechanisms to the quality of life is unknown, which hinders the management in the considered model. This paper strived toward filling the discovered gap and sets two following research questions (RQs).

RQ1: What is the contribution of alternative mechanisms of managing education’s development – standardization and deregulation – to the quality of life?

RQ2: What is the perspective of increasing the quality of life based on the improvement of managing the education’s development?

Based on the advantages of both mechanisms of managing education’s development, which are noted in the literature, we propose the following hypothesis: it is necessary to combine these mechanisms in a certain proportion to achieve the best result in the sphere of improvement of the quality of life. To test this hypothesis, we perform the econometric modeling of the influence of implementing the alternative mechanisms of managing the education’s development (standardization and deregulation) on the quality of life, by the examples of regions of Russia.

Research method

Regression analysis is used to check the offered hypothesis. Contribution of the factors of managing the development of higher education – shares of university branches (their increase means deregulation), the share of intramural students (their increase means standardization), and share of state-subsidized education students (their increase means standardization) to increase in population’s quality of life is determined. Information on the factors is taken from the materials of the Ministry of Science and Higher Education of the Russian Federation (2020).

The data were collected by systematizing the materials of the Ministry of Science and Higher Education of the Russian Federation (2020) on the use of the mechanisms of managing education’s development and the materials of RIA Rating (2020) on the quality of life in regions of Russia. The share of branches was determined according to the following formula:

SB = Nbr 100 % / Nohe ,     (1)

where SB–Share of branches;

Nbr–Number of organizations of higher education;

Nohe–Number of their branches.

Share of intramural students was determined according to the following formula:

SInt = Nis 100 % / Nus ,     (2)

where Sint–Share of intramural students;

Nus–Number of university students;

Nis–Number of intramural students.

Share of state-subsidized education students was determined according to the following formula:

Ssses = Nsses 100 % / Nus ,     (3)

where Ssses–Share of state-subsidized education students;

Nsses–Number of state-subsidized education students.

The research objects are the top 10 regions of Russia by living standards in 2019, according to RIA Rating (2020). The sample includes the following regions of Russia: Moscow Oblast, Republic of Tatarstan, Belgorod Oblast, Krasnodar Krai, Voronezh Oblast, Leningrad Oblast, Kaliningrad Oblast, Khanty-Mansi Autonomous Okrug – Yugra, Lipetsk Oblast and Yamalo-Nenets Autonomous Okrug. The correctness of the sample is due to its including regions of Russia with the highest quality of life, i.e., regions that achieved the best results in implementing the social investment model of economic growth. This allows using their experience in other regions, to translate successful practices and systemically raise the quality of life in Russia. The empirical data for the research are systematized in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Statistics of higher education in regions of Russia in 2019 and their analysis from the positions of standardization and deregulation.

The research model has the following form:

y = α + β 1 x 1 + β 2 x 2 + β 3 x 3     (4)

Where y–the quality of life index (RIA Rating, 2020), points 1–100.

x1–share of branches (Ministry of Science and Higher Education of the Russian Federation, 2020), %.

x2–share of intramural students (Ministry of Science and Higher Education of the Russian Federation, 2020), %.

x3–share of state-subsidized education students (Ministry of Science and Higher Education of the Russian Federation, 2020), %.

α–constant;

β1-3–coefficients of regression at factor variables.

To search for an answer to RQ2, we set the first research task, which is determining the perspective of raising the quality of life based on the improvement of managing the education’s development. To solve this task, based on the research model (4), we determine the consequences for the quality of life of seven alternative scenarios of managing education’s development in the social investment model of Russia’s economic growth. The first three scenarios imply standardization:

• The scenario of absolute standardization, which implies minimization of the share of university branches (10%) and maximization of the share of intramural students (90%) and the share of state-subsidized education (90%);

• The scenario of development of remote education, which implies minimization of the share of intramural students (10%);

• The scenario of the development of entrepreneurial universities, which implies minimization of the share of state-subsidized students (10%).

Other three scenarios envisage deregulation:

• The scenario of absolute deregulation, which implies maximization of the share of university branches (90%) and minimization of the share of intramural students (10%) and the share of state-subsidized students (10%);

• The scenario of reduction of branches, which implies minimization of the share of university branches (10%);

• The scenario of the development of a network of branches, which implies maximization of the share of university branches (90%).

The seventh scenario involves the optimization with the simplex method for the maximization of the quality of life. The research logic is to determine whether any template scenario will coincide with the scenario of maximization of the quality of life. If this does not happen, the proposed hypothesis will be proven.

Results

To determine the contribution of the factors of managing higher education’s development to the increase in the population’s quality of life, we calculate (based on the data from Table 1) the regression dependence of the quality of life in Russia on the management of higher education’s development:

y = 66.40 0.06 x 1 + 0.04 x 2 0.05 x 3     (5)

As shown in Eq. 5, an increase in the share of university branches by 1% leads to a reduction of quality of life in Russia by 0.06 points. Growth of the share of intramural students by 1% leads to a growth of quality of life by 0.04 points. An increase in the share of state-subsidized education students by 1% leads to a reduction in quality of life by 0.05%. This is a sign of the contradictory influence of standardization and deregulation of higher education on the quality of life in Russia. Scenarios of quality of life in Russia depending on the standardization of higher education are shown in Table 2.

TABLE 2
www.frontiersin.org

Table 2. Scenarios of quality of life in Russia depending on standardization of higher education.

As shown in Table 2, absolute standardization, which envisages the reduction of the share of branches down to 10% and the transfer of 90% of students to the intramural form of government-financed study, ensures the growth of quality of life by 4.15% (from 62.57 points in 2020 to 65.17 points). Development of remote education, which envisages almost full refusal from the intramural form of study (its reduction down to 10%) decreases the quality of life by 2.56% (down to 60.7 points). Development of entrepreneurial universities, which envisages the reduction of government-financed study down to 10%, raises the quality of life by 2.33% (up to 64.03 points). Scenarios of quality of life in Russia depending on the deregulation of higher education are shown in Table 3.

TABLE 3
www.frontiersin.org

Table 3. Scenarios of quality of life in Russia depending on the deregulation of higher education.

As shown in Table 2, absolute deregulation, which envisages an increase in the share of branches up to 90% and a reduction of state-subsidized education students with the intramural form of study down to 10%, provides growth of quality of life by 2.93% (from 62.57 points in 2020 to 65.17 points). The reduction of branches (down to 0%) raises the quality of life by 5.25% (up to 65.86 points), and their development (up to 90%) decreases the quality of life by 2.69% (down to 60.89 points). The optimal scenario of managing the development of higher education in Russia in favor of an increase in quality of life, which is obtained with the help of the simplex method based on regression dependence from (1), is shown in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. The optimal scenario of managing the development of higher education in Russia in favor of an increase in quality of life. Calculated and built by the authors.

As shown in Figure 1, the optimal scenario of managing the development of higher education in Russia in favor of an increase in quality of life envisages full refusal from branches and the use of main universities only, full refusal from budget financing and transfer to fee-based education, and refusal from diversification of the forms of study with preservation of only the intramural form of study. This allows raising the quality of life by 13.26% (up to 70.87 points).

Discussion

The paper’s contribution to the literature consists in the clarification of the cause-and-effect relationships of the management of universities (by the example of Russia) and the development of a new approach to managing education’s development in the social investment model of Russia’s economic growth. This paper filled the literature gap, strengthened the scientific base and developed the scientific provisions of the works by Erdin and Ozkaya (2020), Litvintseva and Karelin (2020), Kakinuma (2022), Sollis et al. (2022), and Imbulana Arachchi and Managi (2023), as well as answered both RQs.

We found an answer to RQ1: alternative mechanisms of managing education’s development – standardization and deregulation – make a contradictory contribution to the quality of life. Growth of the quality of life is ensured during the reduction of the share of university branches (standardization), growth of the share of intramural students (standardization) and reduction of the share of state-subsidized education students (deregulation).

We found an answer to RQ2: we determine the perspective of increasing the quality of life based on the improvement of managing the education’s development, manifested in the optimal scenario of managing the development of higher education in Russia in favor of an increase in quality of life. According to the scenario, a flexible combination of the mechanisms of higher education development management – standardization and deregulation – allows raising the quality of life in regions of Russia by 13.26%.

It was proven that neither absolute standardization [unlike Wright and Horta (2018), Bentley-Gockmann (2020), Olivier and Burton (2020), and Shams and Hasan (2020)] nor absolute deregulation [unlike Goyal and Sergi (2015), Speight (2017), Popkova and Zmiyak (2019), Langrafe et al. (2020), Rehman and Iqbal (2020), Ruiz et al. (2020), and Sciarelli et al. (2020)] allows unlocking the potential of the implementation of the social investment model of Russia’s economic growth.

The authors’ approach involves a flexible combination of the mechanisms of standardization and deregulation, which maximizes their effectiveness. In the new approach to managing education’s development in the social investment model of Russia’s economic growth, the following is recommended:

• Refusing the expansion of the network of university branches, as opposed to its increase, given in the works by Yang et al. (2020) and Zhang and You (2022).

• Relying on intramural education with cautious implementation of modern forms, in particular distance education [as opposed to Bilal et al. (2020) and Peng et al. (2022)].

• Stimulating the entrepreneurial activity of universities, as opposed to Castro-Bedriñana et al. (2022) and Razak et al. (2022) which describe an increase in investments in higher education, including budget financing of universities.

This scientific article is a significant step forward since it proves the limitations and inexpedience of the use of template mechanisms of managing education’s development in the social investment model of economic growth. The advantage of the new proposed approach is its high flexibility, which allows for the most comprehensive unlocking of the potential of an increase in the quality of life in the social investment model of Russia’s economic growth.

Conclusion

The task of developing the optimal approach to managing education’s development in the social investment model of Russia’s economic growth was solved. The key result of the research and its key implication are that it is necessary to pass from the use of the mechanisms of standardization and deregulation as alternatives to combining their elements during university management. For this, a new approach to managing education’s development in the social investment model of Russia’s economic growth was proposed.

Results of the performed research have proved the offered hypothesis and have shown that absolute standardization and absolute deregulation of higher education do not allow achieving vivid results in the sphere of increase in quality of life in Russia. The determined and substantiated optimal scenario of managing the development of higher education in Russia in favor of an increase in quality of life envisages the use of the flexible approach, which, in its turn, envisages a combination of standardization and deregulation.

The required refusal from a network of branches of Russian universities will allow increasing the quality of higher education and will increase control over it. The transfer of all students to fee-based education is a contradictory measure since this will reduce the accessibility of higher education – similar to refusal from state-subsidized education and transfer to fee-based education, which, however, could be successfully replaced by employer-sponsored education. That’s why it is recommended to allow each region to form their own programs of development of higher education with the foundation on the main federal principles.

Suggestions for practical use

It is recommended that the developed approach to managing education’s development in the social investment model of Russia’s economic growth be used in practice during the management of Russian universities. The critical values of indicators (Figure 1) are landmarks. This approach also allows improving the modern Russian practice of state regulation of higher education.

The practical recommendations for the most complete unlocking of the potential for improvement of the quality of life in the social investment model of Russia’s economic growth are as follows. First, refuse the expansion of the network of branches and develop leading universities. Second, rely on intramural education with a cautious introduction of modern form, in particular distance education. Third, stimulate the entrepreneurial activity of universities and gradually reduce the budget financing of universities.

The advantage of the new approach in practice is the systemic increase in the effectiveness of state and corporate management of universities and the maximization of the contribution of higher education to the increase in the quality of life. The practical implementation of the authors’ approach will allow acceleration of the implementation of the social investment model of economic growth в Russia.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Bağrıacık Yılmaz, A., and Karataş, S. (2022). Why do open and distance education students drop out? Views from various stakeholders. Int. J. Educ. Technol. High. Educ. 19:28. doi: 10.1186/s41239-022-00333-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bentley-Gockmann, N. (2020). Higher education skills and work-based learning article: towards greater inclusion in skills competitions. Higher Educ. Skills Work Based Learn. 10, 687–692. doi: 10.1108/HESWBL-03-2020-0050

CrossRef Full Text | Google Scholar

Bilal, A. R., Fatima, T., and Imran, M. K. (2020). Why ostracized full-time faculty should not be labeled as “low performer”? A qualitative insight from higher education in Pakistan. J. Appl. Res. Higher Educ. 12, 805–827. doi: 10.1108/JARHE-12-2018-0267

CrossRef Full Text | Google Scholar

Bilyalova, A., Bazarova, L., Salimova, D., and Patenko, G. (2021). The digital educational environment: the problem of its accessibility for visually impaired students. Int. J. Emerg. Technol. Learn. 16, 221–230. doi: 10.3991/ijet.v16i16.23455

CrossRef Full Text | Google Scholar

Castro-Bedriñana, J., Chirinos-Peinado, D., and Castro-Chirinos, G. (2022). Emergency remote education satisfaction during COVID-19 at a public University in Central Andes, Peru with low resources and little online teaching experience. Educ. Sci. Theory Prac. 22, 46–51. doi: 10.12738/jestp.2022.1.0005

CrossRef Full Text | Google Scholar

Chang, T. F. H., Pundir, S., Rayapuraju, A., and Purandare, P. (2022). “Inner engineering” for success—a complementary approach to positive education. Front. Educ. 7:745850. doi: 10.3389/feduc.2022.745850

CrossRef Full Text | Google Scholar

Erdin, C., and Ozkaya, G. (2020). R&D investments and quality of life in Turkey. Heliyon 6:e04006. doi: 10.1016/j.heliyon.2020.e04006

PubMed Abstract | CrossRef Full Text | Google Scholar

Goyal, S., and Sergi, B. S. (2015). Creating a formal market ecosystem for base of the pyramid markets-strategic choices for social embeddedness. Int. J. Bus. Global. 15, 63–80. doi: 10.1504/IJBG.2015.070224

CrossRef Full Text | Google Scholar

Guerrero, M., and Lira, M. (2023). Entrepreneurial university ecosystem’s engagement with SDGs: looking into a Latin-American University. Community Dev., 1–16. doi: 10.1080/15575330.2022.2163411

CrossRef Full Text | Google Scholar

Hadi, S., Abbas, E. W., and Rajiani, I. (2022). Should spirituality be included in entrepreneurship education program curriculum to boost students’ entrepreneurial intention? Front. Educ. 7:977089. doi: 10.3389/feduc.2022.977089

CrossRef Full Text | Google Scholar

Iglesias, E., Esteban-Guitart, M., Puyaltó, C., and Montserrat, C. (2022). Fostering community socio-educational resilience in pandemic times: its concept, characteristics and prospects. Front. Educ. 7:1039152. doi: 10.3389/feduc.2022.1039152

CrossRef Full Text | Google Scholar

Imbulana Arachchi, J., and Managi, S. (2023). The role of social capital in subjective quality of life. Human. Soc. Sci. Commun. 10:31. doi: 10.1057/s41599-023-01502-7

CrossRef Full Text | Google Scholar

Johnson, D., Gianiodis, P. T., Harrison, R. T., and Bock, A. J. (2023). From laboratory to clinic: science commercialization within university-centered entrepreneurial ecosystems. R D Manag. 53, 3–23. doi: 10.1111/radm.12535

CrossRef Full Text | Google Scholar

Kakinuma, Y. (2022). Financial literacy and quality of life: a moderated mediation approach of fintech adoption and leisure. Int. J. Soc. Econ. 49, 1713–1726. doi: 10.1108/IJSE-10-2021-0633

CrossRef Full Text | Google Scholar

Khalifé, M., Chaker, R., and Gasparovic, S. (2022). Environmental education and digital solutions: an analysis of the Lebanese context’s existing and possible digital actions. Front. Educ. 7:958569. doi: 10.3389/feduc.2022.958569

CrossRef Full Text | Google Scholar

Langrafe, T. D. F., Barakat, S. R., Stocker, F., and Boaventura, J. M. G. (2020). A stakeholder theory approach to creating value in higher education institutions. Bottom Line 33, 297–313. doi: 10.1108/BL-03-2020-0021

CrossRef Full Text | Google Scholar

Litvintseva, G. P., and Karelin, I. N. (2020). Interconnection between the level of people's digital quality of life and investment attractiveness of Russian regions. IOP Conf. Materials Sci. Eng. 953:012058. doi: 10.1088/1757-899X/953/1/012058

CrossRef Full Text | Google Scholar

Liu, H. (2022). Construction on standardization system of university evaluation mechanism based on data analysis technology. Lecture Notes Data Eng. Commun. Technol. 103, 335–341. doi: 10.1007/978-981-16-7469-3_38

CrossRef Full Text | Google Scholar

Ministry of Science and Higher Education of the Russian Federation (2020). The information and analytical materials by the results of monitoring of effectiveness of higher educational organization’s activities in 2019. Available at: http://indicators.miccedu.ru/monitoring/2019/index.php?m=vpo (Accessed November 21, 2020).

Google Scholar

Olivier, C., and Burton, C. (2020). A large-group peer mentoring programme in an under-resourced higher education environment. Int. J. Mentor. Coach. Educ. 9, 341–356. doi: 10.1108/IJMCE-07-2019-0074

CrossRef Full Text | Google Scholar

Peng, L., Jin, S., Deng, Y., and Gong, Y. (2022). Students’ perceptions of active learning classrooms from an informal learning perspective: building a full-time sustainable learning environment in higher education. Sustainability 14:8578. doi: 10.3390/su14148578

CrossRef Full Text | Google Scholar

Piromalli, L. (2022). Governing through interconnections: interoperability and standardization in higher education. Tecnoscienza 13, 71–96.

Google Scholar

Popkova, E. G., and Zmiyak, K. V. (2019). Priorities of training of digital personnel for industry 4.0: social competencies vs technical competencies. On the Horizon 27, 138–144. doi: 10.1108/OTH-08-2019-0058

CrossRef Full Text | Google Scholar

Ranjan, R., López, J. L., Lal, K., Saxena, S., and Ranjan, S. (2021). Adopting a New hybrid force model: a survey during Covid-19 in Indian higher education. Int. J. Emerg. Technol. Learn. 16, 169–185. doi: 10.3991/ijet.v16i16.23371

CrossRef Full Text | Google Scholar

Razak, A. N. A., Noordin, M. K., and Khanan, M. F. A. (2022). Digital learning in technical and vocational education and training (TVET) in public university, Malaysia. J. Tech. Educ. Train. 14, 49–59. doi: 10.30880/jtet.2022.14.03.005

CrossRef Full Text | Google Scholar

Rehman, U. U., and Iqbal, A. (2020). Nexus of knowledge-oriented leadership, knowledge management, innovation and organizational performance in higher education. Bus. Process. Manag. J. 26, 1731–1758. doi: 10.1108/BPMJ-07-2019-0274

CrossRef Full Text | Google Scholar

RIA Rating (2020). Quality of life in Russian regions – Rating 2019. Available at: https://riarating.ru/infografika/20200217/630153946.html (Accessed November 21, 2020).

Google Scholar

Ruiz, S. M. D. A., Martens, C. D. P., and Da Costa, P. R. (2020). Entrepreneurial university: an exploratory model for higher education. J. Manag. Dev. 39, 705–722. doi: 10.1108/JMD-08-2019-0363

CrossRef Full Text | Google Scholar

Sciarelli, M., Gheith, M. H., and Tani, M. (2020). The relationship between soft and hard quality management practices, innovation and organizational performance in higher education. TQM J. 32, 1349–1372. doi: 10.1108/TQM-01-2020-0014

CrossRef Full Text | Google Scholar

Segbenya, M., Bervell, B., Minadzi, V. M., and Somuah, B. A. (2022). Modelling the perspectives of distance education students towards online learningduring COVID-19 pandemic. Smart Learn. Environ. 9:13. doi: 10.1186/s40561-022-00193-y

CrossRef Full Text | Google Scholar

Shams, S. M. R., and Hasan, R. (2020). Capacity building for transnationalisation of higher education: knowledge management for organisational efficacy. Eur. Bus. Rev. 32, 459–484. doi: 10.1108/EBR-05-2019-0097

CrossRef Full Text | Google Scholar

Sollis, K., Yap, M., Campbell, P., and Biddle, N. (2022). Conceptualisations of wellbeing and quality of life: a systematic review of participatory studies. World Dev. 160:106073. doi: 10.1016/j.worlddev.2022.106073

CrossRef Full Text | Google Scholar

Timchenko, O. V., Timchenko, A. B., Abakumova, S. I., Mansurova, A. A., and Suyunova, G. B. (2021). Tools of Intellectual Systems in the Context of Problems of Organization of Open Education. Advances in Research on Russian Business and Management. pp. 271–278, Charlotte, NC, Information Age Publishing.

Google Scholar

Toumpalidou, S. A., and Konstantoulaki, K. (2023). Education in the pandemic economy: attitudes towards distance learning as a drive of university students’ decision making. Int. J. Organ. Anal. 31, 50–62. doi: 10.1108/IJOA-09-2021-2965

CrossRef Full Text | Google Scholar

Turan, Z., Kucuk, S., and Cilligol Karabey, S. (2022). The university students’ self-regulated effort, flexibility and satisfaction in distance education. Int. J. Educ. Technol. High. Educ. 19:35. doi: 10.1186/s41239-022-00342-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Z., and Crawford, I. (2019). Who are gaining the highly paid elite placements in UK higher education? Stud. High. Educ. 44, 1960–1974. doi: 10.1080/03075079.2018.1476482

CrossRef Full Text | Google Scholar

Wang, H., and Cui, J. (2021). Evaluation of teaching effect in higher educational institutions and identification of its influencing factors. Int. J. Emerg. Technol. Learn. 16, 226–239. doi: 10.3991/ijet.v16i17.24901

CrossRef Full Text | Google Scholar

Wright, E., and Horta, H. (2018). Higher education participation in “high-income” universal higher education systems: “Survivalism” in the risk society. Asian Educ. Dev. Stud. 7, 184–204. doi: 10.1108/AEDS-07-2017-0061

CrossRef Full Text | Google Scholar

Yang, L., Borrowman, L., Tan, M. Y., and New, J. Y. (2020). Expectations in transition: students’ and teachers’ expectations of University in an International Branch Campus. J. Stud. Int. Educ. 24, 352–370. doi: 10.1177/1028315319861348

CrossRef Full Text | Google Scholar

Zhang, M., and You, Z. (2022). International branch campuses of Chinese universities in Europe: motivations, governance and challenges. Eur. J. Educ. 57, 78–95. doi: 10.1111/ejed.12488

CrossRef Full Text | Google Scholar

Keywords: alternative mechanisms, management, development, higher education, social investment model, economic growth, Russia, standardization

Citation: Dianova VY, Krasilnikova VG, Kelina KG and Nazarenko AV (2023) Alternative mechanisms of managing the education’s development in the social investment model of Russia’s economic growth: standardization versus deregulation. Front. Educ. 8:1139865. doi: 10.3389/feduc.2023.1139865

Received: 07 January 2023; Accepted: 11 April 2023;
Published: 16 May 2023.

Edited by:

Elena G. Popkova, Peoples' Friendship University of Russia, Russia

Reviewed by:

Edwin Ramirez-Asis, Universidad Señor de Sipán, Peru
Aan Komariah, Universitas Pendidikan Indonesia, Indonesia
Yusri Kamin, University of Technology Malaysia, Malaysia

Copyright © 2023 Dianova, Krasilnikova, Kelina and Nazarenko. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Varvara G. Krasilnikova, aWdnZHJhc3NpbDFAbWFpbC5ydQ==

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.