Персонализированная экосистема и ИИ ассистенты для технологического образования как стратегическая модель развития муниципальной системы образования

Vera V. Korshunova; Sergey V. Bortnovsky; Aleksey N. Abramov; Darya S. Korshunova

doi:10.25726/w9251-8807-1660-k

Authors

Vera V. Korshunova https://orcid.org/0000-0002-2042-2417 Krasnoyarsk Regional Institute for Education Development, 660021, Krasnoyarsk, Karla Marksa st., 122
Sergey V. Bortnovsky https://orcid.org/0009-0002-6528-9602 Siberian Federal University, 660041, Krasnoyarsk, Svobodny Ave, 79
Aleksey N. Abramov https://orcid.org/0009-0003-8960-5072 Krasnoyarsk Regional Institute for Education Development, 660021, Krasnoyarsk, Karla Marksa st., 122
Darya S. Korshunova https://orcid.org/0009-0008-7619-3650 Astafiev Krasnoyarsk State Pedagogical University, 660049, Krasnoyarsk, Ady Lebedeva st., 89

DOI: 10.25726/w9251-8807-1660-k EDN: QFWWBZ

How to cite

GOST Korshunova V. V., Bortnovsky S. V., Abramov A. N., Korshunova D. S. A personalized ecosystem and AI assistants for technological education as a strategic model for the development of the municipal education system // Education Management Review. 2026. Vol. 16. No. 7. P. 92-104. DOI: 10.25726/w9251-8807-1660-k

APA Korshunova, V. V., Bortnovsky, S. V., Abramov, A. N. & Korshunova, D. S. (2026). A personalized ecosystem and AI assistants for technological education as a strategic model for the development of the municipal education system. Education Management Review, 16(7), 92-104. https://doi.org/10.25726/w9251-8807-1660-k

Abstract

Тhis article examines the transformation of the municipal education system in the context of digitalization and the transition to a knowledge economy. The relevance of this study stems from the growing disconnect between traditional educational models, the demands of the digital economy, and the needs of students. The aim of this work is to develop and theoretically substantiate a strategic model for the development of technological education at the municipal level, based on the formation of a personalized educational ecosystem with the integration of artificial intelligence. The methodological basis of the study is an ecosystem approach, human capital theory, principles of strategic management in education, and concepts of cognitive-communicative learning. This study proposes a model for integrating AI assistants into the educational process, enabling a transition from standardized practices to the management of individualized educational trajectories for students. The model's architecture, key tools (including neuroassessment, adaptive promting, and teaching assistant systems), and performance indicators for the proposed model are described. The study's results demonstrate that the implementation of a personalized ecosystem contributes to the increased efficiency of the educational process, the development of students' technological literacy, and the strengthening of educational institutions' management capabilities. It is concluded that the integration of artificial intelligence is a strategic factor in improving the quality of education and the competitiveness of a region in the context of digital transformation.

Keywords

personalized educational ecosystem artificial intelligence in education AI assistants municipal education system technological education digital transformation of education ecosystem approach cognitive-communicative learning

Funding

The authors did not declare any external funding for this research.

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A personalized ecosystem and AI assistants for technological education as a strategic model for the development of the municipal education system

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