Data-Driven Learning in Physical Education: The Role of Arm Muscle Strength and Digital Feedback in Handball Jump Shot Performance

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Amran, Wawan Sundawan Suherman, Ali Satia Graha, Asmuddin, Ade Gusti Ningsih

2025 2025 7th International Conference on Modern Educational Technology, ICMET 2025 Conference paper Cited by 0

Abstract

This study investigates how data-driven learning and digital feedback can enhance the understanding and improvement of sport-specific skills in physical education, focusing on the relationship between arm muscle strength and jump-shot performance in handball. A quantitative correlational approach was employed with 32 male university athletes from Halu Oleo University. Arm muscle strength was assessed using the 30 -second push-up test, and jump-shot performance was measured through a 60 -second accuracy test, with digital video recordings analyzed using motion-analysis software to provide real-time feedback. The results revealed a strong, significant correlation between arm muscle strength and jump-shot success (r=0.67>r-table=0.349, p<0.05), indicating that 45% of performance variance is explained by upper-body strength. Conceptually, this research highlights how digital performance data and feedback loops can support technology-enhanced learning in sports education by enabling more precise skill evaluation and personalized training. © 2025 IEEE.

Affiliations

Universitas Negeri, Faculty of Sports Science and Health, Department of Sports Science, Yogyakarta, Indonesia; Universitas Halu Oleo, Faculty of Teacher Training and Education, Department of Physical Education, Indonesia; Universitas Negeri, Faculty of Education, Department of Primary Education, Yogyakarta, Indonesia