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A possible relationship between school performance and motor skills: a neural network approach

机译:学校成绩和运动技能之间的可能关系:神经网络方法

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The aim of this study was to answer the question whether a relationship exists between school grades reflecting humanistic, synthesis, ecological, and physical skills and motor skills (speed and power) in middle school adolescents. The following tests were used for the evaluation of the particular motor skills: plate tapping test for the measurement of upper limb speed, Fleishman test for the measurement of lower limb speed, medicine ball throwing for the evaluation of upper limb power, and standing broad jump for lower limb power testing. The data were analyzed using a neural network approach. The results indicated that the school grades of middle school adolescents can be used to predict motor power. In this case, the linear correlation coefficient (r) between the actual and predicted data exceeded the level of r = 0.9. In particular, a strong statistical impact of ecological, synthesis and physical skills on power performance was established. In contrast, a weaker correlation was observed with motor speed performance (r < 0.6). More attention should be paid to the possible relationship between school grades and motor skills in children and adolescents. This information is important, particularly for the selection of youngsters with advanced motor skills at an early age.
机译:这项研究的目的是回答一个问题,即在反映中学,青少年期的人文,综合,生态,物理技能和运动技能(速度和力量)的学校成绩之间是否存在关系。以下测试用于评估特定的运动技能:平板敲击测试用于测量上肢速度,Fleishman测试用于测量下肢速度,药球投掷用于评估上肢力量,以及站立跳远用于下肢力量测试。使用神经网络方法分析数据。结果表明,中学生的学校成绩可以用来预测运动能力。在这种情况下,实际数据和预测数据之间的线性相关系数(r)超过了r = 0.9的水平。特别是,建立了生态,综合和物理技能对电源性能的强大统计影响。相反,观察到与电机速度性能的相关性较弱(r <0.6)。应该更加注意儿童和青少年的学业成绩与运动技能之间的可能关系。该信息非常重要,特别是对于选择具有较高运动技能的年轻人。

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