Intelligent modeling of personalized learning in cybersecurity training

Skladannyi, Pavlo та Kostiuk, Yuliia та Zhyltsov, Oleksii та Savchenko, Yuriy та Antypin, Yevhen (2025) Intelligent modeling of personalized learning in cybersecurity training Workshop on Cybersecurity Providing in Information and Telecommunication Systems (4145). с. 95-119. ISSN 1613-0073

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Офіційне посилання: https://ceur-ws.org/Vol-4145/paper7.pdf

Анотація

The article focuses on the application of intelligent technologies and Artificial Intelligence (AI) for modeling personalized learning trajectories in the training of cybersecurity and information security specialists. An approach is proposed that combines adaptive educational systems, educational data analytics, and AI algorithms to build dynamic learning models. The developed conceptual model offerscontent personalization and individualization of the learning process, tailored to the applicant’s profile, current level of competence, and prediction of educational outcomes. The use of recommendation systems, Bayesian networks, reinforcement learning algorithms, and XAI technologies allows for the automatic formation of optimal educational trajectories, increasing the effectiveness of training and ompliance with modern cybersecurity market requirements. Particular attention is paid to the integration of ISO/IEC 27001, NIST Cybersecurity Framework standards, and recommendations for ensuring data protection and privacy in electronic educational environments. Mathematical modeling is based on a partially observable decision-making process (POMDP), which allows building dynamic learning trajectories in conditions of incomplete information about the applicant’s knowledge. The developed prototype of an intelligent educational system implements content personalization, adaptive task complexity control, result prediction, and cyber threat scenario simulation.

Тип елементу : Стаття
Ключові слова: artificial intelligence; intelligent technologies; personalized learning trajectories; adaptive learning; digital pedagogy; cybersecurity; information security; learning analytics; competency ontology; secure educational platforms
Типологія: Статті у базах даних > Scopus (без квартилю)
Підрозділи: Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки ім. професора Володимира Бурячка
Користувач, що депонує: Павло Миколайович Складанний
Дата внесення: 15 Трав 2026 12:50
Останні зміни: 15 Трав 2026 12:50
URI: https://elibrary.kubg.edu.ua/id/eprint/57435

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