Expert evaluations in the tasks of public administration in the sphere of higher education
DOI:
https://doi.org/10.34132/pard2021.11.08Keywords:
public administration, higher education, expert assessments, forecasting the contingent of applicants, factors of attractivenessAbstract
The work examines the use of expert assessments in solving issues of public administration in the sphere of higher education in order to predict the number of potential students. This is a priority task of the development of both the higher education system as a whole and a separate university.
The aim of the work is to consider the technology of expert assessment of the factors of university attractiveness, based on the complex application of a number of methods for the analysis of group expert evaluations, followed by the formation of rankings of the factors of applicant’s advantages during entering the university.
The article discusses the main stages and methods of conducting an examination and its importance for predicting the number of applicants wishing to enter a specific university.
Within the framework of the technology of expert assessment, such methods of analysis of group expert assessments as the method of arithmetic mean ranks, the method of median ranks and the Kemeny method are considered. They all give approximate convergence of results. However, the results of applying different methods may differ significantly more, which may result from inconsistency of experts in the group, bias or incompetence of experts, as well as their small number or specificity of the set of obtained expert information. That is why it is important to apply several methods of analysis of expert assessments and further evaluate their reliability by assessing the objectivity and consistency of experts in the group. Considered information technology can find its place in the information and analytical system "Applicant" and have a positive impact on the work of the selection committee in terms of predicting the benefits of those entering the university.
References
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22. Streltsova, E. D., & Petrosian, L. E. (2015). Modelnyi instrumentarii sistemy podderzhki priniatiia reshenii po upravleniiu formirovaniem kontingenta studentov v VUZakh [Model toolkit of a decision support system for managing the formation of a contingent of students in universities]. Hosudarstvennoe i munitsipalnoe upravlenie – State and municipal administration, 4, 10-16 [in Rissian].
23. Sviridova, E. V. (2015). Uchet vliianiia faktorov rynka obrazovatelnykh usluh pri prohnozirovanii nabora v VUZ [Taking into account the influence of the factors of the educational services market when predicting enrollment in a university]. Nauchnyi almanakh – Scientific almanac, 12 (14), 330-334 [in Russian].
24. Sysoeva, E. O. (2011). Vyshcha osvita Ukraiiny: realiii suchasnoho rozvytku [Higher education in Ukraine: the realities of modern development]. Kyiv: VD EKMO [in Russian].
25. Vasilevych, T. N. (2010). Prohnozirovanie kontingenta studentov i yeho vliianie na resursnoe obespechenie VUZa [Forecasting the contingent of students and its impact on the resource provision of the university]. Innovatsionnye obrazovatelnye tekhnologii – Innovative Educational technologies, 2 (22), 65-70 [in Russian].
26. Zarubina, N. K. (2016). Istoricheskie i metodolohicheskie aspekty planirovaniia kontinhenta studentov pri priiome v VUZ (Nauchnyi Obzor) [Historical and methodological aspects of planning a contingent of students for admission to a university (scientific review)]. Mezhdunarodnyi studencheskii nauchnyi vestnik – International student scientific bulletin, 2, 121 [in Russian].
27. Ziateva, O. A., Moroz, D. M., & Pitukhin, Ye. A. (2014). Razrabotka sistemy prognozirovaniia osnovnykh pokazatelei effektivnosti deiatelnosti VUZa [Development of a forecasting system for key performance indicators of the university]. Instrumenty stratehicheskogo analiza – Strategic analysis tools, 3, 106-113 [in Russian].
28. Soroka S. Akimova T. (2020). [The Higher Education of Ukraine in the Global Educational Space]. Khazar Journal of Humanities and Social Sciences, 23 (2), 24-42 [in English].
2. Bereza, A. N. (2011). Podderzhka priniatiia resheniia pri planirovanii nabora abiturientov na osnove nechetkikh modelei [Decision support in planning the recruitment of applicants based on fuzzy models]. Izvestiia YUFU. Tekhnicheskie nauki – IZVESTIYA SFedU. ENGINEERING SCIENCES, 7 (120), 131-136 [in Russian].
3. Efimova, I. N. (2013). Analiz vliianiia reitinha VUZov na motivatsiiu abiturientov [Analysis of the influence of the ranking of universities on the motivation of applicants]. Vestnik Nizhegorodskogo universiteta im N. I. Lobachevskogo – Vestnik of Lobachevsky University of Nizhni Novgorod, 6(1), 27-34 [in Russian].
4. Emelianov, S. H. (2009). Prohnozirovanie rynka obrazovatelnykh usluh v sootvestvii s trebovaniiami rynka truda v sovremennykh usloviiakh [Forecasting the market of educational services in accordance with the requirements of the labor market in modern conditions]. Rehionalnaia ekonomika: teoriia i praktika – Regional Economics: Theory and Practice, 40 (133), 18-23 [in Russian].
5. Kemeni, Dzh., & Snell, Dzh. (1972). Kiberneticheskoe modelirovanie: nekotorye primeneniia [Cyber modeling: some applications]. Moscow: "Sovetskoe radio" [in Russian].
6. Klopchenko, V. S. (2009). Elementy teorii prognozirovaniia v obrazovanii [Elements of the theory of forecasting in education]. Izvestiia YUFU. Tekhnicheskie nauki – IZVESTIYA SFedU. ENGINEERING SCIENCESб 4 (93), 235-241 [in Russian].
7. Kovalenko, I. O., Sved, A. V. (2012). Metody ekspertnoho otsenivaniia stsenariev [Expert assessment methods for scenarios]. Mykolaiv: Editing and Publishing Department BSNU Petro Mohyla [in Russian].
8. Kukushkina, S. N. (2007). Metod Delfi v Forsait-proektakh [Delphi method in foresight-projects]. Forsait – Foresight, vol. 1, 68-73 [in Russian].
9. Larichev, O. I. (2003). Teoriia i metody priniatiia resheniia [Decision theory and methods]. Moscow: Lohos [in Russian].
10. Lyhina, M. A., & Konovalenko, V. E. (2017). Ekspertnye metody v upravlenii sistemami i sotsialnoi rabote [Expert methods in systems management and social work]. Penza: Izdatelstvo PHU [in Russian].
11. Malysheva, M. A. (2011). Teoriia sovremennoho hosudarstvennoho upravleniia [The theory of modern public administration]. St. Petersburg: NIUVShE [in Russian].
12. Metod SWOT analiza v stratehicheskom upravlenii [SWOT analysis method in strategic management]. (n. d.), powerbranding.ru. Retrieved from: http://powerbranding.ru/biznes-analiz/swot/ [in Russian].
13. Orlov, A. I. (2006). Prikladnaia statistika [Applied statistics]. Moscow: Izdatelstvo «Ekzamen» [in Russian].
14. Orlov, A. I. (2012). Organizatsionno-ekonomicheskoe modelirovanie [Organizational and economic modeling]. Moscow: Izdatelstvo MHTU im. N. E. Baumana.
15. Ovchinkin, O. V., Pykhtin, A. I., & Sizov, A. S. (2018). Postanovka mnohokriterialnoi zadachi optimizatsii po povysheniiu effektivnosti obrazovatelnoi deiatelnosti VUZa [Statement of a multicriteria optimization problem to improve the efficiency of educational activities of the university]. Sovremennye naukoiomkie tekhnolohii – Modern high technologies, 4, 103-107 [in Russian].
16. Pohromskaia, T. A. (2003). Model protsessa priioma abiturientov v VUZ [Model of the process of admission of applicants to the university]. Matematicheskie struktury i modelirovanie – Mathematical structures and modeling, issue 12, 155-160 [in Russian].
17. Ponomarenko, V. S. (2014). Upravlinnia zabezpechenistiu natsionalnoii ekonomiky fakhivtsiamy z vyshchoiu osvitoiu [Management of the national economy by specialists with higher education]. Kharkiv: FOP Aleksandreva K. M. EKMO [in Russian].
18. Raevneva, M. V., & Aksenova, I. V. (2013). Prognozirovanie kolichestva abiturientov VUZov v zavisimosti ot demohraficheskikh izmenenii i privlekatelnosti vyssheho obrazovaniia [Forecasting the number of university entrants depending on demographic changes and the attractiveness of higher education]. Problemy ekonomiki – THE PROBLEMS OF ECONOMY, 3, 322-335 [in Russian].
19. Rychenko, M. V. (2013). Issledovanie faktorov vliianiia na vybor VUZa abiturientami na razlichnykh etapakh protsessa postupleniia [Research of factors influencing the choice of a university by applicants at various stages of the admission process]. Sovremennye problemy nauki i obrazovaniia – Modern problems of science and education, 6, 527 [in Rissian].
20. Shevchenko, E. V., & Stucach, V. F. (2016). Forsait: instrumenty issledovaniia, osnova formirovaniia hosudarstvennoi strategii [Foresight: research tools, the basis for the formation of a state strategy]. mpra.ub.uni-muenchen.de. Retrieved from https://mpra.ub.uni-muenchen.de/75177/1/MPRA_paper_75177.pdf [in Russian].
21. Sidorova, A. A. (2013). Monitoring effektivnosti deiatelnosti vuzov kak instrument povysheniia kachestva vyssheho obrazovaniia [Monitoring the performance of universities as a tool for improving the quality of higher education]. Hosudarstvennoe upravlenie. Elektronnyi vestnik – Public administration. E-journal, issue 41, 248-259 [in Russian].
22. Streltsova, E. D., & Petrosian, L. E. (2015). Modelnyi instrumentarii sistemy podderzhki priniatiia reshenii po upravleniiu formirovaniem kontingenta studentov v VUZakh [Model toolkit of a decision support system for managing the formation of a contingent of students in universities]. Hosudarstvennoe i munitsipalnoe upravlenie – State and municipal administration, 4, 10-16 [in Rissian].
23. Sviridova, E. V. (2015). Uchet vliianiia faktorov rynka obrazovatelnykh usluh pri prohnozirovanii nabora v VUZ [Taking into account the influence of the factors of the educational services market when predicting enrollment in a university]. Nauchnyi almanakh – Scientific almanac, 12 (14), 330-334 [in Russian].
24. Sysoeva, E. O. (2011). Vyshcha osvita Ukraiiny: realiii suchasnoho rozvytku [Higher education in Ukraine: the realities of modern development]. Kyiv: VD EKMO [in Russian].
25. Vasilevych, T. N. (2010). Prohnozirovanie kontingenta studentov i yeho vliianie na resursnoe obespechenie VUZa [Forecasting the contingent of students and its impact on the resource provision of the university]. Innovatsionnye obrazovatelnye tekhnologii – Innovative Educational technologies, 2 (22), 65-70 [in Russian].
26. Zarubina, N. K. (2016). Istoricheskie i metodolohicheskie aspekty planirovaniia kontinhenta studentov pri priiome v VUZ (Nauchnyi Obzor) [Historical and methodological aspects of planning a contingent of students for admission to a university (scientific review)]. Mezhdunarodnyi studencheskii nauchnyi vestnik – International student scientific bulletin, 2, 121 [in Russian].
27. Ziateva, O. A., Moroz, D. M., & Pitukhin, Ye. A. (2014). Razrabotka sistemy prognozirovaniia osnovnykh pokazatelei effektivnosti deiatelnosti VUZa [Development of a forecasting system for key performance indicators of the university]. Instrumenty stratehicheskogo analiza – Strategic analysis tools, 3, 106-113 [in Russian].
28. Soroka S. Akimova T. (2020). [The Higher Education of Ukraine in the Global Educational Space]. Khazar Journal of Humanities and Social Sciences, 23 (2), 24-42 [in English].
Published
2021-03-31
How to Cite
Yemelyanov, V., Kovalenko, I., & Honcharova, N. (2021). Expert evaluations in the tasks of public administration in the sphere of higher education. Public Administration and Regional Development, (11), 166–189. https://doi.org/10.34132/pard2021.11.08
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