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Item type:Наукова стаття, Application of intelligent digital infrastructure into the L-test implementation in the physical education of students with lower limb ambulance(2025-04-30) Blavt, Oksana; Iedynak, Hennadii; Vovk, Ihor; Naumchuk, Volodymyr; Kovalchuk, Volodymyr; Faidevych, Volodymyr; Vasyliv, VolodymyrThe purpose of the study was to determine the psychometric properties of the L-test for students with lower limb amputation implemented by intelligent digital infrastructure. Material and Methods. The experiment involved first-year students (males) with amputation of the lower left limb in the absence of acute conditions, open wounds, or complications. The theoretical and empirical research used the following methods: analysis, synthesis, systematization, generalization, measurement and mathematical statistics. Measurement was implemented using the L-test. Results. The result of our scientific search was the development of an intelligent digital infrastructure designed for the implementation of the L-test, which involved solving tasks in collecting and analyzing testing data such as test execution time, gait trajectory, maintaining balance during gait and accuracy of turning. The intelligent digital infrastructure included: Radiofrequency Identification (RFID) microcontroller with an Arduino Mega 2560 board and PC with OLED display. The development used RFID components: RFID tags located at key points of the L-test trajectory, RFID reader - which is located on the student and RFID - data processing system that accumulates and analyzes information, linking RFID elements into a single system. The signal received and processed by RFID when a student performs a test task is transmitted via radiofrequency communication to the Arduino Mega 2560 microcontroller board. The board provides the ability to process signals from RFID to calculate gait parameters when performing the L-test. To increase the efficiency of the intelligent digital infrastructure, Machine Learning algorithms and cloud data storage were implemented. Analysis of the results of the experimental study showed a «high» level of psychometric properties of the L-test for students with lower limb amputations implemented by the intelligent digital infrastructure in contrast to the results recorded by a stopwatch. Conclusions. The use of the intelligent digital infrastructure in the implementation of the L-test for students with lower limb amputations provides a high level of reliability and objectivity of the control results in real-time. The use of modern artificial intelligence technologies in the developed infrastructure allows analyzing large volumes of collected data and creating models capable of assessing the quality of test performance and identifying gait pathologies in students when performing the L-test.Item type:Наукова стаття, Clarifying Differences in the Manifestation of Young Men’s Motor Fitness Components in the Absence of Compulsory Physical Activity(2025-03-30) Banakh, Volodymyr; Iedynak, Gennadii; Blavt, Oksana; Faidevych, Volodymyr; Hrebik, Oleh; Musiyenko, OlenaBackground. The current trend in the modernization of university physical education involves the development of a personal educational trajectory for each student. Objectives. The study aimed to determine the peculiarities in the development of young male students’ motor fitness components, taking into consideration their somatotypes and the absence of compulsory physical activity at the university. Materials and methods. The study involved 39 young men aged 17.6±0.5 years who had just started studying at the university, belonged to different somatotypes and had no restrictions in the use of different physical activity parameters. The somatotype was determined using the modified Stefko-Ostrovsky method. The 11 main components of motor fitness were examined, using motor tests recommended by researchers, appropriate testing methods and instruments. Each test met the requirements of reliability, informativeness and allowed to evaluate speed, frequency of movements, ability to balance, power, explosive strength of arms and legs, abdominal muscle strength, arm strength, flexibility, agility and aerobic endurance. The parameters of these components were determined in each available somatotype, and each parameter was compared with different somatotypes. Testing was conducted at the beginning (January) and at the end (May-June) of the academic semester, but during one academic year. Results. At the beginning and at the end of the study, it was noted that there were differences in the development of motor fitness components among the various somatotypes when compared with each other (p at the level from 0.05 to 0.000). The volumes and conditions of physical activity realization used during the study contributed to the change of young men’s results in some components. However, these alterations varied across different somatotypes. Conclusions. The information about peculiarities of the development of motor fitness components among individuals with different somatotypes is important for increasing the efficiency of university physical education based on the personalization of content and differentiation of normative bases of this process.Item type:Наукова стаття, Digitalization of “Timed Up and Go” Test to Increase the Control Efficiency in Inclusive Physical Education(2026-05-30) Blavt, Oksana; Galamanzhuk, Lesia; Iedynak, Gennadii; Larysa, Kozibroda; Banakh, Volodymyr; Faidevych, Volodymyr; Holub, Viktor; Stadnyk, VolodymyrObjectives. The purpose of this study was to establish the reliability and validity of the “Timed Up and Go” (TUG) test for students with disabilities who have undergone lower limb amputation using an intelligent software-controlled hardware complex in inclusive physical education. Materials and Methods. The study was conducted at the theoretical and empirical levels. The following methods were used: analysis, synthesis, systematization, generalization, measurement, and mathematical statistics. Measurements were performed using the TUG test. The study sample included first-year male students with a left lower limb amputation (n = 23), provided there were no acute conditions, open wounds, or complications. Results. The results of the study are presented in the developed intelligent software-controlled hardware system for implementing the TUG test. The structural composition of the system includes Bluetooth-enabled wireless sensors placed on the student and along the entire TUG trajectory. The signals received by the Xsens DOT sensors are transmitted to the latest Arduino Uno R3 microcontroller. Information display and control are provided through the use of a Liquid Crystal Display. A distinctive feature of the complex is the use of IoT technologies for analytics and forecasting in inclusive physical education. Automated acquisition of TUG results enables the recording of numerous gait parameters in students with disabilities and lower limb amputation, such as the amplitude of central oscillations, reaction time, and step length, which cannot be recorded when TUG results are measured using a stopwatch. Digital data processing transforms the reliability and validity of the TUG test from "average" when measured with a stopwatch to "high", ensuring accurate recording of numerous parameters down to the microsecond level. Conclusions. The novelty of the developed intelligent programmable tool for implementing the "Get Up and Go" test ensures effective control in inclusive physical education and eliminates the influence of the human factor on test results.