Andrii Lytvynchuk
https://orcid.org/0000-0002-7523-558X
Hanna Tereshchenko
https://orcid.org/0000-0002-9458-2843
Olga Anisimova
https://orcid.org/0000-0002-6721-3030
Andrii Kyrianov
https://orcid.org/0000-0003-0452-7689
AUTOMATED GATHERING AND VISUALIZATION OF TARGETED EDUCATIONAL SUBVENTION DATA AS PART OF THE DIGITAL TRANSFORMATION OF EDUCATION GOVERNANCE
Full text (pdf)
Language: Ukrainian
Abstract. Due to the development of digital technologies, educational management is undergoing a transformation process. The role of digital technologies in education management is to support the development of new and to strengthen existing opportunities in education policy, to use more effective ways to achieve results. The purpose of our study is to analyze the main directions of digital transformation of education governance, in particular, to ensure the automation of gathering and presentation of data on the use of state targeted educational subventions as its component. The authors researched the issue of the development of education management information systems and educational platforms, in particular, the functioning of the software and hardware complex “Automated Information Complex of Educational Management” (AICEM) is described. It is substantiated that in order to increase its efficiency in the allocation of financial and other resources in the education system, it is necessary to implement a financial reporting module that will allow for automated gathering and analysis of financial data, including targeted educational subventions. The article draws a number of conclusions about the directions of the digital transformation of education management in Ukraine. In particular, they include further expansion of the AICEM functionality through the development of an additional module for gathering, processing and analyzing data on the use of targeted educational subventions; further integration of AICEM with other information systems; ensuring improvement of the cybersecurity system to protect the relevant confidentiality and integrity of data on the use of the subventions; development of technologies for facilitating educational analytics and ensuring data visualization; providing mechanisms for monitoring and evaluating the effectiveness of budgetary expenditures. The article outlines the prospects for the potential development of digitalization of education governance, which consists of creating appropriate institutional and legal prerequisites for the widespread use of artificial intelligence (AI) technologies. The use of AI for education management can have a significant impact on improving the quality and efficiency of educational systems, in particular for the enhancement of educational analytics and forecasting. The AI systems can analyze large amounts of data to predict trends, identify strengths and weaknesses of management decisions, and optimize strategies for the educational process.
Keywords: digital transformation of education governance, education management information systems, SHC “AICEM”, educational digital platforms, automated gathering of targeted education subvention data.
https://doi.org/10.32987/2617-8532-2023-5-47-63
Keywords: digital transformation of education governance, education management information systems, SHC “AICEM”, educational digital platforms, automated gathering of targeted education subvention data.
https://doi.org/10.32987/2617-8532-2023-5-47-63
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3. SSI “Institute of Educational Analytics”. (2019). Presentation of a new information system for collection, storage, management and use of educational data – AICEM (Kyiv, July 19, 2019). Retrieved from: https://iea.gov.ua/prezentatsiya-novoyi-informatsijnoyi-sistemi-zi-zboru-zberigannya-upravlinnya-ta-vikoristannya-osvitnih-danih-aikom-kiyiv-19-lipnya-2019/ [in Ukrainian].
4. UNESCO Institute of Statistics. (2017). Educational Management Information Systems. Retrieved from https://emis.uis.unesco.org/.
5. Abdul-Hamid, H. (2017). What Is an Education Management Information System and Who Uses It? In Data for Learning: Building a Smart Education Data System. World Bank Group. DOI: https://doi.org/10.1596/978-1-4648-1099-2.
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8. Powell, M. (2006). Rethinking education management information systems: lessons from and options for less developed countries. Working Paper, 6. Washington, DC: InfoDev. Retrieved from https://documents1.worldbank.org/curated/en/155601468205458626/pdf/466170NWP0Box31nformation0System111.pdf.
9. Londar, S. (2019). International Experience in the Development of Modern Educational Information Systems. Educational Analytics of Ukraine, 1(5), 5-19. DOI: https://doi.org/10.32987/2617-8532-2019-1-5-19 [in Ukrainian].
10. Londar, S. (2018). Task for the Modernization of the State Information System of Education (DISO). Educational Analytics of Ukraine, 1(2), 11-22. DOI: https://doi.org/10.32987/2617-8532-2018-1-11-22 [in Ukrainian].
11. Vatkovska, M. G. (2015). Formation of Education Management Information System as a Stage of Modernization of Public Administration Information Support in the Branch of Education in Ukraine. Actual Problems of Public Administration, 1, 124-131. Retrieved from http://nbuv.gov.ua/UJRN/apdy_2015_1_18 [in Ukrainian].
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14. Williamson, B. (2015). Governing software: Networks, databases and algorithmic power in the digital governance of public education. Learning, Media and Technology, 40(1), 83-105. DOI: https://doi.org/10.1080/17439884.2014.924527.
15. Williamson, B. (2016). Digital education governance: An introduction. European Educational Research Journal, 15(1), 3-13. DOI: https://doi.org/10.1177/1474904115616630.
16. Williamson, B. (2016). Digital education governance: data visualization, predictive analytics, and ‘real-time’ policy instruments. Journal of education policy, 31(2), 123-141. DOI: https://doi.org/10.1080/02680939.2015.1035758.
17. Williamson, B. (2016). Digital methodologies of education governance: Pearson plc and the remediation of methods. European Educational Research Journal, 15(1), 34-53. DOI: https://doi.org/10.1177/1474904115612485.
18. Williamson, B. (2018). Digitizing Education Governance: Pearson, Real-Time Data Analytics, Visualization and Machine Intelligence. Education Governance and Social Theory: Interdisciplinary Approaches to Research, 21-42. Retrieved from https://www.bloomsbury.com/uk/education-governance-and-social-theory-9781350040083/.
19. Oliveira, A. S. F., Nunes, A., & Guerra, M. (2023). Analyzing the literature on education governance over the last 71 years. Revista de Gestão, 30(1), 2-17. DOI: https://doi.org/10.1108/REGE-03-2020-0016.
20. Decuypere, M. (2016). Diagrams of Europeanization: European education governance in the digital age. Journal of Education Policy, 31(6), 851-872. DOI: http://dx.doi.org/10.1080/02680939.2016.1212099.
21. Landri, P. (2018). Digital governance of education: Technology, standards and Europeanization of education. Bloomsbury Publishing. Retrieved from https://www.bloomsbury.com/uk/digital-governance-of-education-9781350006447/.
22. Watson, C. (2019). From accountability to digital data: The rise and rise of educational governance. Review of Education, 7(2), 390-427. DOI: https://doi.org/10.1002/rev3.3125.
23. Gleiß, A., Degen, K., Knoth, A., Pousttchi, K., & Lucke, U. (2023). Governance principles and regulatory needs for a national digital education platform. Public Policy and Administration. DOI: https://doi.org/10.1177/09520767231202327.
24. Van Dijck, J. (2021). Seeing the forest for the trees: Visualizing platformization and its governance. New Media & Society, 23(9), 2801-2819. DOI: https://doi.org/10.1177/1461444820940293.
25. Decuypere, M., Grimaldi, E., & Landri, P. (2021). Introduction: Critical studies of digital education platforms. Critical Studies in Education, 62(1), 1-16. DOI: https://doi.org/10.1080/17508487.2020.1866050.
26. Filgueiras, F. (2023). Artificial intelligence and education governance. Education, Citizenship and Social Justice. DOI: https://doi.org/10.1177/17461979231160674.
27. Gedrimiene, E., Silvola, A., Pursiainen, J., Rusanen, J., & Muukkonen, H. (2020). Learning analytics in education: Literature review and case examples from vocational education. Scandinavian Journal of Educational Research, 64(7), 1105-1119. DOI: https://doi.org/10.1080/00313831.2019.1649718.
28. Ratner, H., & Gad, C. (2019). Data warehousing organization: Infrastructural experimentation with educational governance. Organization, 26(4), 537-552. DOI: https://doi.org/10.1177/1350508418808233.
29. Yehorchenkov, O. V. (2010). Methodologies of information visualization in project management systems. Managing development of complex systems, 4, 15-18. Retrieved from http://nbuv.gov.ua/UJRN/Urss_2010_4_5 [in Ukrainian].