Exercise Machines in Speed and Coordination Development among Students Playing Basketball
Autor: | Tetiana Bondar, Grygoriy Griban, Oleksii Tymoshenko, Valery G. Arefiev, Olena Pliushchakova, Kostiantyn Prontenko, Mykola Tymchyk, Viktor G. Riabchenko, Tetiana Malechko, Zhanna Domina |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | International Journal of Human Movement and Sports Sciences. 9:347-355 |
ISSN: | 2381-4403 2381-4381 |
DOI: | 10.13189/saj.2021.090224 |
Popis: | The article presents the original methodology for using exercise machines to develop speed and coordination of students playing basketball in order to improve traditional approaches to physical education of basketball players. The introduction of exercise machines in the training process increases the developmental effect of exercises due to the possibility of a targeted impact on physical qualities together with training, accurate dosing of physical parameters, and an increase in motor activity in classes. The study involved 169 students who play basketball between the ages of 17 and 23. Experimental (EG) and control (CG) groups, which included 127 and 42 students respectively, were formed. The EG students played basketball in classes using exercise machines according to the methodology developed. The CG students were trained according to the traditional methodology of teaching basketball. The experimental group was divided into two subgroups – EG1 (n=69) and EG2 (n=58), which included students with initial and high levels of technical preparedness in basketball. It was found that after the pedagogical experiment, ball speed was increased by 24.6% and 4.6% in the experimental groups, in comparison with 3.9% in the control group. The results of the complex test, which characterizes the level of coordination, were improved by 24.7% and 13.8% in the experimental groups, and by 11.4% in the CG. This indicated the efficiency of the proposed methodology for using exercise machines to develop speed and coordination of students playing basketball. |
Databáze: | OpenAIRE |
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