Metadata of Experimental Exploration on Artificial Intelligence ADAMS Simulation Technology in the Teaching of Vertical Hoop Throwing in Rhythmic Gymnastics.xlsx

This paper mainly has the following three points: 1. Demonstrates the practical application of engineering simulation tools (ADAMS) and machine learning techniques in a sports science context; 2. Investigates novel pedagogical methods that address real-world challenges in physical education; 3. Contributes to the growing field of sports biomechanics by combining computational modeling with athletic skill acquisition.The findings will be of broad interest to researchers and educators in sports science, biomechanics, and educational technology, as they: - Introduce an interdisciplinary framework for optimizing skill-based training across sports (e.g., gymnastics, dance, and ball sports); - Provide quantifiable metrics for evaluating technical proficiency, reducing reliance on subjective coaching judgments; - Showcase the scalability of AI-simulation technologies in physical education, offering a replicable model for other complex motor skills.