Vitalii Kruhlov
https://orcid.org/0000-0002-7228-8635
USE OF DIGITAL ANALYTICS TOOLS IN HIGHER EDUCATION GOVERNANCE AS A PROSPECT FOR MODERNIZATION IN THE POST-WAR PERIOD
Full text (pdf)
Language: Ukrainian
Abstract. The article explores the strategic transformation of Ukraine’s higher education management system amidst the full-scale war and the prospects for post-war recovery through the implementation of digital analytics tools. It is emphasized that the destruction of infrastructure and mass migration processes have made the transition to the Data-Driven Decision Making (DDDM) model one of the key mechanisms for preserving the national intellectual capital. The aim of the article is a systemic analysis of existing opportunities in higher education management and the prospects for modernization in the post-war period based on digital analytics tools. The study details the implementation levels of DDDM, with a special emphasis on the priority of predictive analytics for modeling future scenarios of higher education institutions’ (HEIs) development. In the course of the study, an assessment of the current state of national educational information systems (in particular, EDEBO and SHC “AICEM”) was conducted, which revealed a lack of their analytical capacity for the purposes of strategic planning of the educational network development and the formation of the state order for higher education. Based on the results of a comparison of practices in selected domestic and European technical HEIs (Sumy State University, Lviv Polytechnic National University, Igor Sikorsky Kyiv Polytechnic Institute, National Technical University “Kharkiv Polytechnic Institute”, Tallinn University of Technology, and Warsaw University of Technology), the study demonstrates the high effectiveness of autonomous digital platforms in supporting the quality of the educational process and ensuring the operational resilience of universities. Significant problems regarding data interoperability have been identified. Key challenges include cyber threats and legal risks associated with the use of cloud services. A comprehensive set of measures for public administration is proposed, including the transformation of EDEBO into an analytical hub with open APIs, the implementation of AI modules to prevent student dropout, and the adaptation of the HEdPERF model to assess the quality of educational services. It is emphasized that the implementation of these steps will contribute to qualitative changes in developing a transparent system integrated into the EU Digital Single Market.
Keywords: digitalization, higher education institutions, public governance, post-war recovery, tools, mechanisms, analytics.
https://doi.org/10.32987/2617-8532-2026-2-24-41
Keywords: digitalization, higher education institutions, public governance, post-war recovery, tools, mechanisms, analytics.
https://doi.org/10.32987/2617-8532-2026-2-24-41
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4. Alieksieieva, H., Kravchenko, N., Horbatiuk, L., Nestorenko, T., Zhyhir, V., Kalinichenko, A., & Glazova, Y. (2025). Digital transformation of relocated higher education institutions in Ukraine under martial law. Problems and Perspectives in Management, 23(2), 71-85. DOI: https://doi.org/10.21511/ppm.23(2-si).2025.06.
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6. Pasichnyi, R., Serhieiev, V., Shevchenko, S., Petrukha, N., & Hryvnak, B. (2024). Digital transformation of higher education as a driver of Ukraine’s integration into the European educational space. BRAJETS, 17(4), 232-245. DOI: http://dx.doi.org/10.14571/brajets.v17.nse4.232-245.
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14. Rodríguez-Ortiz, M. Á., Santana-Mancilla, P. C., & Anido-Rifón, L. E. (2025). Machine learning and generative AI in learning analytics for higher education: A systematic review of models, trends, and challenges. Applied Sciences, 15(15), 8679. DOI: https://doi.org/10.3390/app15158679.
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31. Commission des Titres d’Ingénieur. (2024). Master evaluation report for EUR-ACE© label National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”. Retrieved from https://www.cti-commission.fr/wp-content/uploads/2024/06/kpi_ukraine_rmad_eurace_202403.pdf [in French].
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35. Tallinn University of Technology. (2025). Study regulations and documents. Retrieved from https://taltech.ee/en/study-regulations-and-documents.
36. Politechnika Warszawska. (2025). USOS. Retrieved from https://www.ci.pw.edu.pl/Uslugi/USOS [in Polish].
37. Balan, S., Basava Aradhya, S. G., Mansingh, M., Tang, Y., Kasturi, K., & Revathy, P. (2025). Crisis management in educational institutions during the digital age. International Journal of Environmental Sciences, 11(14s), 492-500. DOI: https://doi.org/10.64252/4wepvx48.
38. Zybin, S., Bondarchuk, O., Piroh, O., Suprun, O., & Kyshakevych, S. (2025). Cybersecurity on Ukrainian higher education: Threats and protection measures. Revista Eduweb, 19(2), 38-52. DOI: https://doi.org/10.46502/issn.1856-7576/2025.19.02.3.
39. Cele, N. (2021). Big data-driven early alert systems as means of enhancing university student retention and success. South African Journal of Higher Education, 35(2), 56-72. DOI: https://doi.org/10.20853/35-2-3899.
40. Gürbüzer, B., & Acuner, A. M. (2025). The Role of Service Quality in Enhancing Technological Innovation, Satisfaction, and Loyalty Among University Students in Northern Cyprus. Sustainability, 17(15), 6832. DOI: https://doi.org/10.3390/su17156832.
Received February 13, 2026
Accepted May 14, 2026
Published May 28, 2026
Accepted May 14, 2026
Published May 28, 2026
