Advanced utilization of motion decomposition and visualization technology in gymnastics education

With the ongoing advancements in higher education physical education reforms, gymnastics courses-a crucial element of sports education-necessitate the use of enhanced and new pedagogical approaches. Conventional gymnastics education encounters restrictions stemming from intricate motions, significant learning difficulties, and clear demonstration constraints, frequently resulting in students struggling to comprehend and master technical skills. To address these limitations, the present study integrates movement decomposition methodology with multiple visualization technologies to construct a structured, feedback-oriented instructional framework. Recent advancements in information technology within physical education have facilitated the development of visualization techniques in educational environments, providing innovative methods and tools for gymnastics training. This research focuses on the action decomposition teaching technique, incorporating visualization technologies including slow-motion replays, motion trajectory overlays, 3D motion models, and synchronous comparative analysis. It delineates a four-stage pedagogical model-"decomposition-visualization-practice-correction"-which differs from prior single-method approaches by systematically embedding real-time visual feedback at every stage of skill acquisition, and substantiates its efficacy through instructional trials and case analyses. Research findings demonstrate that visualization technology markedly enhances students' cognitive comprehension of movement structures, elevates the quality of movement execution, boosts classroom engagement and participation, and cultivates students' self-correction skills, thus realizing a significant innovation in gymnastics teaching methodologies. This study offers a pragmatic application demonstration and research foundation for the transformation of gymnastics instruction in higher education institutions.