S.G. Vorona1, T.V. Kalinin2, M.S. Vorona3

1−3A.F. Mozhaisky Military Space Academy (St. Petersburg, Russia)

1−3vka@mil.ru

Key changes are expected in the creation of radio engineering systems this year, based on current trends and technological innovations. Changes in radio engineering systems will be driven by the convergence of AI, satellite technologies, and new security standards. These innovations will affect both civilian and military spheres. In the process of educational activity, the student is in the educational space, which determines the features of the formation of a professional specialist. The basic laws of his development are related to reducing the uncertainty of personal ideas about the field of professional activity in which he will perform his work functions after graduation. It should be noted that the state of uncertainty in the education system arises not only among students, but also among teachers and in the education system as a whole. Trends in the development of radio engineering systems and the principle of uncertainty pose a task that can be solved in order to increase the likelihood of achieving educational results.

Significant changes are also expected in the field of radar due to the development of artificial intelligence technologies, new materials and the integration of innovative approaches. Radar is becoming smarter, more compact, and more multitasking. The main drivers are the fight against stealth technologies, the need for autonomous systems, and environmental requirements. These changes will affect both the military and civilian areas, which requires operational changes in education. Today, higher education institutions are faced with a new technological breakthrough – generative artificial intelligence (GII). It is defined as a technology used by a deep learning model to create original information materials in response to a human request [6]. Unlike traditional AI, generative AI creates new ones based on the information it has been provided with. Generative AI offers unique solutions for educational tasks. It can not only analyze large amounts of data about students, but also generate customized learning materials that match their knowledge levels and preferences. Moreover, it is important to provide feedback. Generative AI can generate reports on student progress and areas that need attention. Generative AI and pedagogical design represent an effective alliance that can change the approach to learning and improve its quality.

Vorona S.G., Kalinin T.V., Vorona M.S. Fending off uncertainty in the discipline of specialization using generative artificial intelligence // Information-measuring and Control Systems. 2026. V. 24. № 4. P. 77−87. DOI: https://doi.org/10.18127/j20700814-202604-09

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