Information Systems of Support of Pedagogical Control in the Physical Education of Students

Koryahin, Victor; Turchyn, Yaryna; Блавт, Оксана; Dolnikova, Lyubov

doi:10.17309/tmfv.2020.4.02

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…At the second level -Stange test (r = 0.417), Standing long jump (r = 0.412). The results complement the data on pedagogical control in physical education of students [6,35].…”

Section: Discussionsupporting

confidence: 79%

Discriminant analysis: peculiarities of impact of sports specialization on 3rd-year female students’ functional and motor fitness

Chernenko

Jagiełło

Іващенко

et al. 2021

PES

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Background and Study Aim. The objective of the study was to determine the peculiarities of impact of sports specialization on 3rd-year female students’ functional and motor fitness. Materials and methods. The study involved 3rd-year female students of the Donbas State Engineering Academy in Kramatorsk, who practiced badminton (n = 43), aerobics (n = 43), and callanetics (n = 43). To solve the tasks set, the following research methods were used: analysis of scientific literature, pedagogical observation, pedagogical testing; index method and medical-biological methods. Pedagogical methods were used to study the peculiarities of students’ functional state of the body and motor abilities; for data processing discriminant analysis was used. Sectional classes were held in groups according to the schedule – twice a week. Results. The study revealed the peculiarities of impact of attending badminton, aerobics, and callanetics sports sections on the level of 3rd-year female students’ functional and motor fitness. The female students who play badminton show better results in the 100-meter dash and the Standing long jump. In the exercise “Push-ups”, better results are shown by the female students who do aerobics. Conclusions. The results of classification of students by the level of motor and functional fitness and the analysis of multidimensional averages (centroids) point to the peculiarities of dynamics of female students’ state depending on sports specialization. The results of the following tests are most important for differentiated assessment of the state of motor and functional fitness at the first level: Romberg test (r = 0.662), 100-meter dash (r = 0.491), Push-ups (r = 0.491). At the second level – Stange test (r = 0.417), Standing long jump (r = 0.412).

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“…At the second level -Stange test (r = 0.417), Standing long jump (r = 0.412). The results complement the data on pedagogical control in physical education of students [6,35].…”

Section: Discussionsupporting

confidence: 79%

Discriminant analysis: peculiarities of impact of sports specialization on 3rd-year female students’ functional and motor fitness

Chernenko

Jagiełło

Іващенко

et al. 2021

PES

View full text Add to dashboard Cite

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“…The control groups practiced once a week according to the generally accepted physical education program approved by the Ministry of Education and Science of Ukraine [47] The experimental groups were engaged in physical exercises according to the experimental program. Experimental program provided: two hours of physical education classes per week; two to six additional independent physical exercises.…”

Section: Participantsmentioning

confidence: 99%

Influence of weekly physical exercises on indicators of biological age of student's youth

Prysiazhniuk¹,

Pryimakov

Єрмаков

et al. 2021

PES

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Background and Study Aim. The physical activity level of students is closely associated with ecological, hygienic, and socioeconomic facts. This is especially true during the COVID-19 pandemic, which has dramatically reduced the student opportunity to engage in regular physical activity. The purpose of the work is to study the influence of the weekly physical exercises on the indicators of biological age of students of higher education institutions of Ukraine. Material and Methods. The study involved 409 students (182 boys and 227 girls), who were divided into experimental (87 boys and 117 girls) and control (95 boys and 110 girls) groups. The biological age (BA) of students was determined by means of Voitenko’s method using biomarkers of their physical status. Indices of the cardiovascular system (pulse, systolic, and diastolic blood pressure); respiratory system (vital capacity, the Hench and Stange test); central nervous system (static balancing); PHSA (personal health self-assessment) were studied. In addition, a questionnaire-based survey of students on their health self-assessment including 27 questions was carried out. Statistica 13.5 statistical software package was used to process the experimental material. Methods of variation statistics, correlation, and regression analysis were used. The coefficients of the Student t-test and Fisher’s F-test were calculated. Results. In the process of pedagogical experiment, the positive impact of the author’s physical education program on BA of students of the experimental group (EG) was revealed: in boys, the positive dynamics of BA changes was detected already after four additional hours of performing exercises per week, whereas in girls – after six or more hours. The most pronounced changes in physical state, which determined BA decrease during academic year were noted in students with a weekly motor regime exceeding 6 hours. In boys of EG, the biological age decreased at the end of the experiment by 11,1 years (p < 0,001), whereas in girls – by 5,3 years (p < 0,001). No positive changes of BA were observed at the end of the experiment in students of the control group (CG), whose weekly regime of motor activity constituted 2 hours. In boys of EG, the decrease of BA is manifested after four additional hours of performing physical exercises per week, whereas in girls – after six or more hours. The most pronounced changes in BA indices during the academic year were noted in students of the experimental group with weekly motor regime exceeding 6 hours. Conclusions. The developed mathematical models are recommended to be used for estimating, modelling, and predicting the biological age of students according to informative indices of physical state.

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Design of College Physical Education Information Platform under the Background of Big Data

Yang

2021

2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM)

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Information Systems of Support of Pedagogical Control in the Physical Education of Students

Cited by 3 publications

References 31 publications

Discriminant analysis: peculiarities of impact of sports specialization on 3rd-year female students’ functional and motor fitness

Discriminant analysis: peculiarities of impact of sports specialization on 3rd-year female students’ functional and motor fitness

Influence of weekly physical exercises on indicators of biological age of student's youth

Design of College Physical Education Information Platform under the Background of Big Data

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