Browsing by Author "Karpushyna, M.H."

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    Adaptive training of military cadets based on artificial intelligence algorithms
    (Київський інститут Національної гвардії України, 2025-10-30) Kindzerska, A.H.; Karpushyna, M.H.
    The implementation of adaptive learning systems based on AI algorithms in military education has immense potential for enhancing cadets’ training. However, the success of such transformation depends on a balanced combination of technological solutions, pedagogical expertise, data protection measures, and transparent governance policies. Careful design of pilot programs, continuous algorithm auditing, instructor training, and integration into the broader training architecture will ensure that adaptive technologies serve the ultimate goal: strengthening the competence and combat readiness of future military leaders while minimizing risks and maintaining human oversight of the learning process
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    Media literacy and technological tools in the professional development of future officers at military academies
    (Київський інститут Національної гвардії України, 2025-10-30) Sylka, Ye.V.; Karpushyna, M.H.
    The modern challenges of the information society require military professionals not only to possess a high level of professional knowledge but also to be able to navigate the media space, critically evaluate information, and effectively employ advanced technologies in their activities. Indeed, information security, cyber threats, manipulative technologies, and hybrid forms of warfare today play a decisive role in ensuring national security. This issue is of particular importance in military academies, where the future elite and defenders of the state are being trained. It is here that classical military knowledge must be integrated with innovative media-educational approaches, the use of digital technologies, and modern communication tools. Such an approach contributes to the development of critical thinking among future officers, their ability to adapt swiftly to changes, counter disinformation, and make effective decisions under the conditions of informational threats