Assessing Ukrainian education security in the context of artificial intelligence integration for accelerated post-war recovery

Purpose. Integral assessment of the security situation in the Ukrainian education system under the intensive implementation of Artificial Intelligence (AI) technologies and identification of promising scenarios for the post-war reconstruction of Ukraine, using the example of rural education. Methodology. The scientific research was based on general scientific methods, supplemented by a comprehensive econometric analysis of the main indicators of educational security in Ukraine. Optimisation and integral evaluation methods were also used, which do not require the involvement of experts from various fields of educational activity. The key tool in the integrated multi-factor evaluation method is the module of intelligent economic-mathematical modeling and forecasting of optimistic, realistic, and pessimistic scenarios for the implementation of digital initiatives for the post-war recovery of the educational system of Ukraine, which is implemented through the method of principles, the “t-criterion” in the calculation of scalar thresholds based on IBM SPSS Modeler, AI-Prophet, Cloud Pak for Data, and R-Studio AI. Findings. The work highlights the key factors influencing the level of security of the Ukrainian rural education system and defines the corresponding integrated index of educational security, which in further research can play a key role in strengthening the economic security of the national economy in the era of post-war reconstruction of the country and the formation of a new digital economy in Ukraine. Based on the obtained integrated assessment of the security of the educational system, the authors have identified probable trajectories for the transformation of educational processes in the context of the use of AI technologies. Key scenarios for the improvement of tactical and strategic management tools in the education sector are proposed in order to accelerate the processes of high-quality digital transformation aimed at the post-war recovery of Ukraine. Originality. Based on the developed innovative digital platform “Central European Network for Sustainable and Innovative Economy”, an open source program IIS-GPT 3 was created, which, unlike the existing analogues, integrates new algorithms for the use of AI technology for forecasting key security indicators based on SPSS and AI-Prophet. This made it possible to carry out an independent integral assessment, modelling and forecasting of the transformation of the processes of strengthening the educational security of Ukraine in the context of post-war reconstruction. Practical value. The conducted research proves the relevance of the modern national educational policy of digitization and indicates the potential benefits, challenges, and risks, particularly regarding the implementation of a digital environment with AI elements “Dream”, which can become a game changer in Ukrainian education. The research materials form a scientific basis for further systematic analysis of the key post-war imperatives of educational security in Ukraine.

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Publication Details

Journal
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
Published
2024-12-30
DOI
https://doi.org/10.33271/nvngu/2024-6/119
Citations
1
Primary Topic
Labor Market and Education
Type
article
Field-Weighted Citation Impact
1.13

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article

Assessing Ukrainian education security in the context of artificial intelligence integration for accelerated post-war recovery

A. Cherniak, Vasyl Zalizko, Dariusz Nowak, Volodymyr Artemov
1 citations
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
Labor Market and Education
1.13
article

Assessing Ukrainian education security in the context of artificial intelligence integration for accelerated post-war recovery

A. Cherniak, Vasyl Zalizko, Dariusz Nowak, Volodymyr Artemov
article en
1 citations

Abstract

Purpose. Integral assessment of the security situation in the Ukrainian education system under the intensive implementation of Artificial Intelligence (AI) technologies and identification of promising scenarios for the post-war reconstruction of Ukraine, using the example of rural education. Methodology. The scientific research was based on general scientific methods, supplemented by a comprehensive econometric analysis of the main indicators of educational security in Ukraine. Optimisation and integral evaluation methods were also used, which do not require the involvement of experts from various fields of educational activity. The key tool in the integrated multi-factor evaluation method is the module of intelligent economic-mathematical modeling and forecasting of optimistic, realistic, and pessimistic scenarios for the implementation of digital initiatives for the post-war recovery of the educational system of Ukraine, which is implemented through the method of principles, the “t-criterion” in the calculation of scalar thresholds based on IBM SPSS Modeler, AI-Prophet, Cloud Pak for Data, and R-Studio AI. Findings. The work highlights the key factors influencing the level of security of the Ukrainian rural education system and defines the corresponding integrated index of educational security, which in further research can play a key role in strengthening the economic security of the national economy in the era of post-war reconstruction of the country and the formation of a new digital economy in Ukraine. Based on the obtained integrated assessment of the security of the educational system, the authors have identified probable trajectories for the transformation of educational processes in the context of the use of AI technologies. Key scenarios for the improvement of tactical and strategic management tools in the education sector are proposed in order to accelerate the processes of high-quality digital transformation aimed at the post-war recovery of Ukraine. Originality. Based on the developed innovative digital platform “Central European Network for Sustainable and Innovative Economy”, an open source program IIS-GPT 3 was created, which, unlike the existing analogues, integrates new algorithms for the use of AI technology for forecasting key security indicators based on SPSS and AI-Prophet. This made it possible to carry out an independent integral assessment, modelling and forecasting of the transformation of the processes of strengthening the educational security of Ukraine in the context of post-war reconstruction. Practical value. The conducted research proves the relevance of the modern national educational policy of digitization and indicates the potential benefits, challenges, and risks, particularly regarding the implementation of a digital environment with AI elements “Dream”, which can become a game changer in Ukrainian education. The research materials form a scientific basis for further systematic analysis of the key post-war imperatives of educational security in Ukraine.

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu(6)
Poznań University of Economics and Business (PL), Security Service of Ukraine (UA), Zurich University of Teacher Education (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 10%
Labor Market and Education
1.13
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