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Automated empowerment and its effectiveness to developing skill performance for dribbling and passing accuracy of football
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Among the many modern skill-enhancing work practices, machine learning is among the mostskill-enhancing practices in the workplace, as it helps students remember more of what they havelearned, hone the technical talents and skills of football players, and make better use of theirmotor skills. The use of machine learning and its practical applications in football could havesignificant benefits by improving talent development and making better use of scientifictechniques. The primary objective of this study was to determine the effectiveness of machinelearning in improving soccer dribbling and passing accuracy in children aged 10-12 years. Thestudy authors hypothesized that soccer players in the Al-Zohour Neighborhood Youth Forumwould greatly benefit from machine learning's ability to improve their dribbling and passingaccuracy. The study used an experimental approach and statistical methods includingpercentages, arithmetic mean, standard deviation, and Pearson's correlation coefficient to reach conclusions.

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Publication Date
Sat May 31 2025
Journal Name
3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges
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