Umar, Yovhandra Ockta, Rika Sepriani, Wiki Lofandri, Pringgo Mardesia
The general objective of this study is to explore the use of GPT-based technology in enhancing sports biomechanics education. Adding digital tools to education has made it possible to learn in new ways, especially in hard areas like sports biomechanics. This study examines a mobile application that employs Generative Pretrained Transformers (GPT) to enhance biomechanics literacy, facilitate skill development, and prevent injuries among students. The app uses the 4D model (Define, Design, Development, Dissemination) to give users personalized feedback, biomechanical analysis, and advice on how to avoid injuries. "Ask GPT," its main feature, gives personalized explanations, tutorials, and help based on each person's learning needs. Experts confirmed that the app was pedagogically sound and that the content was correct. Both teachers (94.25%) and students (96.25%) rated it as very useful. Students' biomechanics literacy, interest, and understanding of important ideas, especially those about preventing injuries and improving performance, all got a lot better. The app's interactive features, like personalized feedback and problem-based learning tasks, helped people think critically and learn on their own. The findings indicate that GPT-based technologies can mitigate the shortcomings of conventional teaching methods, characterized by passive learning, by providing scalable, interactive, and accessible platforms for biomechanics education. The study shows how AI tools could change specialized education, making learning more fun and supporting lifelong learning. Future studies may investigate the incorporation of AR or VR technologies to enhance interactivity and immersion. © (2026), (Didactic Asociation Andalucia). All right reserved.
Faculty of Sport Sciences, Universitas Negeri, Padang, Indonesia; Faculty of Health Sciences, Universitas Teuku, Umar, Indonesia; Vocational School, Universitas Negeri, Padang, Indonesia
