Author(s): ZHOU, L., SU, Q., WU, J., LIU, Y., Institution: 哈尔滨工程大学, Country: CHINA, Abstract-ID: 923

INTRODUCTION:
Digital twins, as a new technology and paradigm, have been applied in large-scale and complex industrial scenarios. It is not just about simple modeling and data collection, but also bi-directional mapping between physical objects in the real world and twins in digital space. Its purpose is to construct a mirror of the real world in virtual space, so as to observe, control, analyze, verify, and deduce at low cost and in multiple dimensions, The physical education teaching scenario is a complex system that requires the application and development of multiple abilities such as physical fitness, skills, thinking, emotions, and intelligence. Exploring the deductive ability of digital twins in analyzing this complex system has theoretical and practical significance.
METHODS:
A comprehensive literature review was conducted, collecting papers and industry documents related to the application of digital twin technology in PE and other subject education. An analysis was conducted on the collected data, and a specific university badminton class was used as an example to evaluate the actual implementation ability of digital twins in PE teaching and to determine the current situation, challenges, and solutions of digital twin technology application in PE teaching.
RESULTS:
Digital twin technology can adapt to the real-time, dynamic, and interactive characteristics of PE teaching. It can obtain multi-scale and multi-source data through various perception methods, and construct high-precision, high-fidelity, and high-reliability teaching twin scenes. Firstly, high-precision and visual teaching process simulation. It can monitor the present, trace history, and make forward-looking predictions. The second is to improve the quality of teaching and athletic performance. Real-time multimodal data can reflect real-time changes in physical indicators, helping teachers dynamically adjust their training plans. The third is training simulation and prediction. Teachers simulate the whole process of courses in the digital twin world to evaluate the effectiveness of teaching programs and use future data to adjust plans and emergency drills in advance to improve teaching quality and reduce risks. The fourth is remote monitoring, which simulates game scenes in different environments, to improve its tactical adaptability.
CONCLUSION:
Digital twins can provide comprehensive simulation, prediction, and analysis of the PE teaching process from multiple perspectives, improving the efficiency and effectiveness of physical education teaching. However, we still need to address challenges such as technological maturity, data privacy protection, cost, and user acceptance. We should gradually strengthen technological innovation, user education, cost control, and effectiveness verification. By combining digital twins and other emerging technologies, we aim to improve the accessibility and fairness of PE and build an intelligent, universal, and personalized physical education environment.