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Choice of tools for analysis of the quality of education impact on the state socio-economic development


Choice of tools for analysis of the quality of education impact on the state socio-economic development


Artyukhov, Artem



Sumy State University 2, Rymskogo-Korsakova st., 40007, Sumy, Ukraine e-mail:

Bibliographic description: 

Artyukhov, A. (2021) Vybir instrumentiv analizu vplyvu yakosti osvity na sotsialno-ekonomichnyi rozvytok derzhavy [Choice of tools for analysis of the quality of education impact on the state socio-economic development]. Sotsialno-ekonomichni problemy i derzhava [Socio-Economic Problems and the State] (electronic journal), Vol. 24, no. 1, pp. 3-14. Available at:

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Ternopil Ivan Puluj National Technical University










quality of education,
socio-economic development
methods of analysis
development strategy





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The article is devoted to reviewing tools for analyzing the impact of external and internal factors on the system of "quality of education" in the educational institution. The determining factor in the analysis of the state of development of educational activities in the educational institution is determining the level of efficiency of the quality assurance system of educational activities and the quality of education. This system makes it possible to manage the educational activities of the educational institution at any level, from school to university. The article aims to propose a comprehensive algorithm for assessing the impact of external and internal factors, including socio-economic, on the system "quality of education" and the formation of indicators list for assessing this analysis's results as elements of educational institution development strategy. In the framework of the study to analyze the influence of external and internal factors on the system "quality of education," the abstract-logical method, the method of analogies, and induction-deductions are used. In addition to the tools used in the study of economic systems, the schemes inherent in the description of technical and information objects with an analogy between technical and socio-economic systems are also used. A combination of several tools: SWOT-analysis to assess the internal and external state of the system "quality of education", "PESTEL-analysis to assess the impact of internal and external factors on the system" quality of education", Ishikawa causal diagram to analyze the main problems of quality assurance education (based on the criteria for evaluating educational programs from the National Agency for Quality Assurance in Higher Education), a combination of the Deming cycle and methods of testing software products to determine the performance of the "education quality" system are used in the article. According to the research results, each of the analysis tools in the general algorithm of forming the educational institution's development strategy is presented. The use of the proposed algorithm is possible for the system "quality of education" and other systems for building models of control and management of the processes of ensuring the compliance of elements with certain indicators.


The work was carried out within the framework of state funding of projects "Convergence of economic and educational transformations in the digital society: modeling the impact on regional and national security" (№0121U109553) and "Reforming lifelong learning in Ukraine to prevent labor migration: cooperative model of institutional partnership" (№0120U102001).




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Socio-Economic Problems and the State

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1. Aggarwal, A. K. (2020) Using Deming's Cycle for Improvement in a Course: A Case Study, International Journal of Web-Based Learning and Teaching Technologies. vol. 15, no. 3, pp. 31-45.
2. Ali, G., Buruga, B. A., and Habibu, T. (2019), SWOT Analysis of Blended Learning in Public Universities of Uganda: A Case Study of Muni University. J, vol. 2, pp. 410-429.
3. Ahmad, R., Zhu, N. J. and Leather, A. J. M. (2019) Strengthening strategic management approaches to address antimicrobial resistance in global human health: a scoping review, BMJ Global Health, vol. 4 article no. e001730.
4. Andersson, A. E. and Johansson, B. (2018) Inside and outside the black box: organization of interdependencies. The Annals of Regional Science, vol. 61, p. 501–516.
5. Boumans, M. J. (2009) Understanding in economics: Gray-box models. Scientific understanding: Philosophical perspectives, p. 210-229.
6. Doherty, I., Steel, C. and Parrish, D. (2012) The challenges and opportunities for professional societies in higher education in Australasia: A PEST analysis. Australasian Journal of Educational Technology, vol. 28, no 1. pp. 105-121.
7. Graham, D. (2007) PESTE Factors in Developing a Framework for E-Learning. E-Learning and Digital Media, vol. 4, no. 2, pp. 194-201.
8. Graham, D. (2018) PESTEL factors for e-learning revisited: The 4Es of tutoring for value added learning. E-Learning and Digital Media, vol. 15, no. 1, pp. 17-35.
9. Ji, X. and Luo, Z. (2020) Opening the black box of economic processes: Ecological Economics from its biophysical foundation to a sustainable economic institution. The Anthropocene Review, vol. 7, no. 3, p. 231-247.
10. Kasianiuk, K. (2016) White box, black box and self-organization. A system-to-envirnoment approach to leadership. Kybernetes, vol. 45, no. 1, p. 1-16.
11. Khan, E. (2011) Different approaches to black box testing technique for finding errors. International Journal of Software Engineering & Applications, vol. 2(4), p. 31-40.
12. Kok, H., Papendick, R. I. and Saxton K. E. (2009) STEEP: Impact of long-term conservation farming research and education in Pacific Northwest wheatlands. Journal of Soil and Water Conservation, vol. 64, no. 4, pp. 253-264.
13. Komargodski, I., Naor, M. and Eylon Yogev, E. (2019) White-Box vs. Black-Box Complexity of Search Problems: Ramsey and Graph Property Testing. Journal of the ACM, article no. 34.
14. Milosavljevic, P., Pavlovic D, Rajic, M., Pavlovic, A. and Fragassa, C. (2018) Implementation of quality tools in higher education process. International Journal of Continuing Engineering Education and Life-Long Learning, vol. 28, no.1, pp.24 – 36.
15. Reilly, J.B., Myers, J. S., Salvador, D. and Trowbridge, R. L. (2014) Use of a novel, modified fishbone diagram to analyze diagnostic errors. Diagnosis, vol. 1, no. 2, pp. 167-171.
16. Resnik, J. (2006) International Organizations, the “Education–Economic Growth” Black Box, and the Development of World Education Culture. Comparative Education Review, vol. 50 no. 2, p. 173-195.
17. Satria, R. and Shahbana, E. (2020) SWOT Analysis of Strengthening Education Character in Junior High School. Jurnal Iqra’: Kajian Ilmu Pendidikan, vol. 5, no. 2, pp. 56-67.
18. Self-Assessment Report of the National Agency for Higher Education Quality Assurance (NAQA) (2021), Kyiv, NAQA, 114p.
19. Supe, L., Zeps, A., Jurgelane, I. and L. Ribickis (2018) Factors affecting the competitiveness of a higher education institution: systematic literature overview. Research for rural development, vol. 2, p. 245-251.
20. Walsh, K., Bhagavatheeswaran, L. and Roma, E. (2019) E-learning in healthcare professional education: an analysis of political, economic, social, technological, legal and environmental (PESTLE) factors. MedEdPublish, vol. 8, no. 2, article 27.

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Scientific Journal "Socio-Economic Problems and the State", Vol.24, No.1



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