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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, Control of Physical Fitness of 5th–9th Grades School Students(2025-04-03) Bakiko, Ihor; Kovalchuk, Volodymyr; Savchuk, Sergiy; Faidevych, Volodymyr; Volchinskiy, Anatoliy; Valkevich, Оlexander; Krypliuk, OlexanderBackground and Study Aim: Recently, in Ukraine, along with the deterioration of health, there has been a decrease in the level of physical fitness of schoolchildren. Management of the process of physical education of schoolchildren is based on a system of control over the level of their physical fitness. Testing of physical fitness is an element of stage control both in the system of sports training and in the practice of physical education. In recent years, scientific literature and reports by researchers and practitioners have actively discussed the appropriateness of using movement tests to assess schoolchildren’s physical fitness during physical education. These discussions focus on the informational value of such tests in relation to physical health indicators, as well as the standards for interpreting the test results. Purpose: to determine the dynamics of physical fitness of students of grades 5-9 during their studies at school. Material & methods: 300 students of grades 5-9 of Lutsk comprehensive school No. 17 took part in the study. Nine control exercises were used to determine the level of physical fitness. The research was at the school stadium and in the school's sports hall. We obtained parental consent for their children's participation in the experiment. Results: Studies have shown that children have an average level of physical fitness. A low level of physical fitness was demonstrated during the endurance test. Below average physical fitness was found during the speed test and the long jump test while the sit up test demonstrated above average results. Conclusion. The relevance of our research lies in the fact that it has revealed which physical qualities are underdeveloped in schoolchildren. This will help the physical education teacher to introduce appropriate adjustments to the pedagogical process to enhance the physical fitness of students.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.