Digital Transformation in Sports Biomechanics Learning Muhammad Chairad (a*), Saipul Ambri Damanik(a), Bangun Setia Hasibuan(a), Amirsyah Putra Lubis(b)
a) Physical Education, Health and Recreation, Universitas Negeri Medan
*chairad[at]unimed.ac.id
b)Sports Science, Universitas Negeri Medan
Abstract
The development of digital technology has had a significant impact on various fields, including sports education. This study aims to explore the implementation of artificial intelligence (AI)-based motion capture technology in sports biomechanics learning, especially to improve students^ motion analysis skills. The research method uses a quantitative approach with a quasi-experimental design. The subjects of the study consisted of 40 physical education study program students who were divided into two groups: an experimental group using the AI motion capture system and a control group using conventional methods. The research instruments included a motion analysis ability test and a technology perception questionnaire. The results showed that the use of AI-based motion capture significantly improved students motion analysis skills compared to traditional methods (p <0.05). In addition, students showed a positive response to a more interactive and visual learning experience. These findings indicate that digital transformation through the integration of AI technology in biomechanics learning can provide a more effective, accurate, and applicable learning experience in the context of sports education. Recommendations from this study encourage educational institutions to adopt similar technologies to support the quality of motion analysis-based learning in a more modern and measurable way.
