INTELLIGENT INFORMATION TECHNOLOGIES FOR ADAPTIVE EDUCATIONAL CRISIS MANAGEMENT

Authors

DOI:

https://doi.org/10.30888/2709-2267.2025-32-00-004

Keywords:

crisis educational management, adaptive educational management, innovative educational management, intelligent information technologies, hybridization of IT technologies methods

Abstract

Modern education is experiencing a period of instability and transformation caused by global crises - pandemics, military conflicts, economic and climate shocks. In such conditions, traditional forms of management of educational institutions are not effec

References

Palyvoda O. O., Seliverstova, O. S. (2017). Management of innovative development of industry in the countries of the European Union based on the formation of cluster infrastructure. Naukovyi visnyk Polissia. 1(1(9). 185–191 [In Ukrainian].

Mykytenko V.V., Hryshchenko I.S. (2008). Adaptive management system of innovative processes at enterprises. Problems of science, (4), pp. 32-37.

Maksym Naumenko (2024). Modern concepts of innovation management at enterprises. Scientific innovations and advanced technologies No. 6(34) (2024). DOI: https://doi.org/10.52058/2786-5274-2024-6(34)-435-449

Hrashchenko I.S., Khmurova V. V. (2016). Innovative policy as a tool for organizational change. Economic development: theory, methodology, management. Materials of the 4th International Scientific and Practical Conference]. Budapest-Prague-Kyiv, 28-30 November 2016. 386, p. 361-369. [In Ukrainian].

S. Illiashenko, O. Bilovodska, T. Tsalko, O. Tomchuk, S. Nevmerzhytska, N. Buhas (2022). Opportunities, threats and risks of implementation the innovative business management technologies in the post-pandemic period COVID-19. WSEAS Transactions on Business and Economics. Volume 19. Pp. 1215–1229.

Nevmerzhytska S. M. (2018). Formation of a strategy for the innovative development of enterprises in conditions of uncertainty. Scientific Bulletin of the Kherson State University. Series: Economic Sciences. 2018. Vol. 32. pp. 99-103. URL: https://ej.journal.kspu.edu/index.php/ej/article/view/422/418.

Liavynets , H. (2024). The impact of innovations on anti-crisis management in the hotel and restaurant business. Collection of Scientific Papers «SCIENTIA», (September 20, 2024; Bern, Switzerland), 27–35. https://previous.scientia.report/index.php/archive/article/view/2070

Hrashchenko Iryna, Krasnyuk Maxim, Krasniuk Svitlana (2020). Iterative methodology of bankruptcy forecast of logistic companies in emerging markets, taking into account global/regional crisis. Collection of scientific works "Problems of the systemic approach in economics", vol. 1 (75) / 2020. – pp. 138-147. DOI:10.32782/2520-2200/2020-1-43

Naumenko, М. (2024). Methodology of determining factors of activity efficiency and competitive position of the enterprise on the market in crisis conditions. Scientific innovations and advanced technologies, № 7(35) (2024). DOI: https://doi.org/10.52058/2786-5274-2024-7(35)-648-665 [in Ukrainian].

Krasnyuk, M., & Kustarovskiy, O. (2017). The development of the concept and set of practical measures of anticrisis logistics management in the current Ukraine conditions. Zarządzanie. Teoria i Praktyka, Wyższa Szkoła Menedżerska w Warszawie, (1 (19)), pp. 31–37.

Krasnyuk M., Kulynych Yu., Hrashchenko I., Krasniuk S., Goncharenko S., Chernysh T. (2023). Innovative management information system in post-crisis economic conditions on emerging markets (on the example of the oil and gas industry). Moderní aspekty vědy – Modern aspects of science: svazek XXXVIІ mezinárodní kolektivní monografie. Česká republika: Mezinárodní Ekonomický Institut s.r.o. pp. 185–203.

Krasnyuk, M., Kulynych, Y., Krasniuk, S., & Goncharenko, S. (2024). Design of innovative management information system. Grail of Science, 36, pp. 237-245.

Skitsko, V. (2009). Decision-making in conditions of uncertainty, conflict and the risk they entail. Modeling and information systems in economics: Collection of scientific papers. – К.: KNEU, 2009. – Vol. 79. – pp.52-61 [in Ukrainian].

Lyavinets G. M., Gubenya V. O., Lyulka O. M., Tkachuk Yu. M. (2024). Data Mining in Adaptive Management of Hotel and Restaurant Business. International Scientific Journal "Internauka". Series: "Economic Sciences", 2024. – # 11. https://doi.org/10.25313/2520-2294-2024-11-10404

Lyavinets G. M., Lyulka O. M., Tkachuk Yu. (2024). Intelligent, knowledge-oriented technologies in adaptive management of the hotel and restaurant business. Ecomomy and society, (67). https://doi.org/10.32782/2524-0072/2024-67-91

Tuhaienko V., Krasniuk S. (2022). Effective application of knowledge management in current crisis conditions. International scientific journal "Grail of Science". 2022. № 16. pp. 348-358.

Naumenko, M. (2024). Models of business knowledge in artificial intelligence systems for an effective competitive enterprise. International scientific journal "Internauka". Series: "Economic Sciences". № 6. DOI: https://doi.org/10.25313/2520-2294-2024-6-10010 [In Ukrainian].

Sytnyk V.F., Krasnyuk M.T. (2002). Polityka upravlinia znanniamy naftohazovoi kompanii yak kliuchovyi faktor pidvyshchennia yii efektyvnosti [Oil and gas company's knowledge management policy as a key factor in increasing its efficiency]. Problemy formuvannia rynkovoi ekonomiky - Problems of the formation of a market economy, К.:KNEU, vol. 10, 2002 [in Ukrainian].

Naumenko, М. (2024). Innovative methodology of financial modeling as a tool for improving the efficiency of management of a competitive enterprise. No. 6(48) (2024): Scientific perspectives. https://doi.org/10.52058/2708-7530-2024-6(48)-424-447

Naumenko, M. (2024). Effective application of classic machine learning algorithms when making adaptive management decisions. Scientific perspectives, 2024, 5 (47). https://doi.org/10.52058/2708-7530-2024-5(47)-855-875

Maksym Naumenko (2024). Regression analysis using shallow artificial neural networks in the management of an efficient and competitive enterprise. Věda a perspektivy, 7(38) (2024), pp. 17-32. https://doi.org/10.52058/2695-1592-2024-7(38)-17-32

Krasnyuk, M., & Krasniuk, S. (2020). Application of artificial neural networks for reducing dimensions of geological-geophysical data set’s for the identification of perspective oil and gas deposits. Scientific bulletin ΛΌГOΣ, 18-19. https://doi.org/10.36074/24.04.2020.v2.05

Naumenko, М., & Hrashchenko, І. (2024). Modern artificial intelligence in anti-crisis management of competitive enterprises and companies. Grail of Science, (42), 120–137. DOI: https://doi.org/10.36074/grail-of-science.02.08.2024.015 [In Ukrainian].

M. Krasnyuk, S. Goncharenko, S. Кrasniuk (2022) Intelligent technologies in hybrid corporate DSS (on the example of Ukraine oil&gas production company). Innovation and investment mechanism for ensuring the country's competitiveness: collective monograph / by general ed. O. L. Khultsova. – Lviv-Torun: League-Pres, 2022. – pp. 194-211.

Krasnyuk, M. (2014). Hybridization of intelligent methods of business data analysis (anomaly detection mode) as a standard tool of corporate audit. The state and prospects of the development Education and science of today: materials of the III International science and practice conf. [m. Ternopil, October 10-11. 2014]. TNEU, 2014. pp. 211-212 [in Ukrainian].

Derbentsev, V. D., V. M. Soloviov, and O. V. Serdiuk (2005) Precursors of critical phenomena in complex economic systems. Modeling of nonlinear dynamics of economic systems. - Donetsk: DonNU, 1 (2005). pp. 5-13 [in Ukrainian].

Derbentsev, V. D., B. O. Tishkov, O. D. Sharapov (2013). Systematic methodology for studying the dynamics of the current information economy in the minds of increasing instability. Modeling and information systems in economics. – 2013. – Vol. 89. – pp. 47-62 [In Ukrainian].

Derbentsev, V. D., Serdiuk, O. A., Soloviov, V. M., & Sharapov, O. D. (2010). Synergistic and econophysical methods of studying dynamic and structural characteristics of economic systems. Cherkasy: Brama-Ukraine. - 2010 [in Ukrainian].

Published

2025-07-30

How to Cite

Krasniuk, S. (2025). INTELLIGENT INFORMATION TECHNOLOGIES FOR ADAPTIVE EDUCATIONAL CRISIS MANAGEMENT. Sworld-Us Conference Proceedings, 1(usc32-00), 23–30. https://doi.org/10.30888/2709-2267.2025-32-00-004