Background and Study Aim. The study purpose was to determine the effect of exercise performance modes on the effectiveness of teaching the vault to 8-year-old boys. Materials and methods. The study participants were 32 boys aged 8 who were divided into 4 groups of 8 pesons. The children and their parents were informed about all the features of the study and gave their consent to participate in the experiment. The pedagogical experiment investigated the effect of the number of sets (х1), the number of repetitions in a set (х2), and a 60-second rest time on the change in the gain in the level of proficiency of 8-year-old boys in straddle vault over the buck. A method of algorithmic instructions was used in the training. The participants proceeded to the next exercise after three successful attempts. Results. Statistical analysis of the significance of the discriminant functions showed that the first function explains 81.2% of the data variation and has a high canonical correlation value (r = 0.751). The first function has a high discriminative ability (λ = 0.332, p < 0.021) and can be used to classify the modes of physical exercise performance in the process of formation of motor skills. Conclusions. The use of multivariate statistics makes it possible to determine the structure of the training program, confirm the effectiveness of the selection of motor tasks, and classify the modes of physical exercise performance during the training process. The best mode of physical exercise performance in teaching the vault to 8-year-old boys is 12 sets of 3 repetitions with a rest time of 60 seconds.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.