Pattern Recognition: Motor Skills Development in Girls Aged 15
The study objective is to determine physical exercises modes when developing motor skills in girls aged 15.
Materials and methods. The participants in the study were 40 girls aged 15. To achieve the objectives set, the following research methods were used: study and analysis of scientific and methodological literature; pedagogical observation, timing of training tasks; pedagogical experiment, methods of mathematical statistics, methods of mathematical experiment planning, discriminant analysis. To achieve the objective set, the study examined the effect of different variants of performing exercises, specifically: the number of repetitions (x1) and rest intervals (x2) on mastering a press headstand technique. The girls aged 15 were divided into four groups according to the experiment plan. During the learning process, a method of algorithmic orders was used. The student could proceed to the next exercise only after a correct performance of the previous exercise on three consecutive attempts. The number of repetitions needed to teach exercises in each series of training tasks was recorded. The level of proficiency in the physical exercises performance was determined by the alternative method: “performed” or “failed”. A technically correct performance of the exercise gave the students “1” point; a failure to perform the exercise gave them “0” entered in the protocol.
Results. The 22 type experiment made it possible to study the multifactorial structure of teaching the girls aged 15, using a program of algorithmic orders; to specify optimal correlations of factors for their use when teaching physical exercises during physical education classes; to collect data for the calculation of regression models of teaching separate series of training tasks and for discriminant analysis to obtain a generalized model of teaching an exercise in general.
Conclusions. To select a generalized mode of exercises of the series of tasks when teaching girls aged 15 a press headstand and handstand, the first discriminant function can be used with an emphasis on the most informative variables.
The regression equations obtained from the analysis of the 22 full factorial experiment data make it possible to specify and select the most effective modes of exercises for mastering separate series of training tasks.
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