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Proceedings of the 7th International Conference on Innovation in Education, Science, and Culture, ICIESC 2025, 16 September 2025, Medan, Indonesia

Research Article

Digital Transformation in Sports Biomechanics Education

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  • @INPROCEEDINGS{10.4108/eai.16-9-2025.2361053,
        author={Muhammad  Chairad and Saipul  Ambri Damanik and Bangun  Setia Hasibuan and Amirsyah  Putra Lubis},
        title={Digital Transformation in Sports Biomechanics Education},
        proceedings={Proceedings of the 7th International Conference on Innovation in Education, Science, and Culture, ICIESC 2025, 16 September 2025, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICIESC},
        year={2026},
        month={3},
        keywords={digital transformation motion capture artificial intelligence sports biomechanics motion analysis},
        doi={10.4108/eai.16-9-2025.2361053}
    }
    
  • Muhammad Chairad
    Saipul Ambri Damanik
    Bangun Setia Hasibuan
    Amirsyah Putra Lubis
    Year: 2026
    Digital Transformation in Sports Biomechanics Education
    ICIESC
    EAI
    DOI: 10.4108/eai.16-9-2025.2361053
Muhammad Chairad1,*, Saipul Ambri Damanik1, Bangun Setia Hasibuan1, Amirsyah Putra Lubis2
  • 1: Department of Physical Education, Health and Recreation, Faculty of Sport Science, Universitas Negeri Medan, Indonesia
  • 2: Department of Sport Science, Faculty of Sport Science, Universitas Negeri Medan, Indonesia
*Contact email: chairad@unimed.ac.id

Abstract

The rapid advancement of digital technology has had a significant impact across various fields, including sports education. This study aims to explore the implementation of artificial intelligence (AI)-based motion capture technology in the teaching of sports biomechanics, particularly in enhancing students’ motion analysis skills. A quantitative approach with a quasi-experimental design was employed, involving 40 undergraduate students enrolled in a physical education program. The results indicated that the use of AI- based motion capture significantly improved students’ motion analysis abilities compared to traditional teaching methods (p < 0.05). In addition, students expressed positive perceptions of the learning process, highlighting its interactive and visually engaging nature. These findings suggest that digital transformation through the integration of AI technology in biomechanics education can provide a more effective, accurate, and applicable learning experience within sports education. The study recommends that educational institutions adopt similar technologies to modernize and enhance the quality of motion analysis–based learning in higher education.

Keywords
digital transformation, motion capture, artificial intelligence, sports biomechanics, motion analysis
Published
2026-03-18
Publisher
EAI
http://dx.doi.org/10.4108/eai.16-9-2025.2361053
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