This article provides a theoretical analysis and practical justification for the integration of personalized training programs into the physical preparation of cadets at defense-oriented higher education institutions. It highlights that the demands of modern military service require future officers to possess a high level of functional readiness, the ability to rapidly adapt under stress, and proficiency in a comprehensive set of physical, psychophysiological, and tactical-specialized skills. At the same time, traditional approaches to physical training are often marked by excessive standardization, insufficient consideration of individual learner characteristics, and a lack of alignment with real combat conditions. The study examines both international and domestic experiences in the personalization of physical training in the armed forces of leading countries, focusing in particular on functional training, adaptive workload management, and digital monitoring techniques. A model for a personalized physical training program is presented, comprising the following elements: phased diagnostics of cadets’ physical and psychophysiological status; development of individualized training pathways based on military specialization, fitness level, target goals, and individual limitations; use of modern digital technologies to monitor training dynamics (e.g., wearable sensors, mobile applications, HRV analysis); and a periodic evaluation system to assess results and adapt training stimuli accordingly. The article underscores the significance of pedagogical support in the implementation of such programs and calls for a comprehensive organizational and methodological rethinking of the educational process within institutions of the security and defense sector. It is demonstrated that personalization contributes to enhancing cadets’ intrinsic motivation, fostering a responsible attitude toward physical self-improvement, and improving the overall effectiveness of physical training under conditions approximating real combat environments. Future research directions include empirical validation of the proposed model, its adaptation to different educational contexts, and the development of specialized digital tools to support the implementation of personalized training programs.
Оніпко et al. (Thu,) studied this question.