Open Access
zhaoxiuhan@sdu.edu.cnZHAO Xiuhan, Ph.D., Associate Professor. Corresponding author. Tel: +86-531-88392266, E-mail: zhaoxiuhan@sdu.edu.cn
Received December 3, 2024; Accepted December 15, 2024; Published December 30, 2024
Open Access
zhaoxiuhan@sdu.edu.cnZHAO Xiuhan, Ph.D., Associate Professor. Corresponding author. Tel: +86-531-88392266, E-mail: zhaoxiuhan@sdu.edu.cn
Received December 3, 2024; Accepted December 15, 2024; Published December 30, 2024
As an emerging technological paradigm, the metaverse is profoundly reshaping the ecology of medical education. Grounded in the context of sports medicine education, this study employs methods such as literature analysis and logical reasoning to examine the current state of metaverse development. From an ecological perspective, it investigates the digital reconstruction process of various elements in sports medicine education driven by the metaverse and explores the integrated cultivation path of virtual and reality. Furthermore, it proposes strategic recommendations for optimizing sports medicine education governance. The study suggests that under the metaverse context, the ecology of sports medicine education presents a new landscape featuring virtual-real symbiosis, science-education collaboration, and cross-border integration. Adhering to the concept of people-oriented and technology-empowered, it is essential to promote morphological reshaping, scenario innovation, and model transformation. This involves creating an immersive and interactive learning experience, building an open and shared knowledge network, and improving the collaborative innovation mechanism for talent cultivation. By promoting deep integration of theory and practice, teaching and research, and schools and hospitals, a high-quality sports medicine talent training system with international competitiveness can be established, injecting new momentum into the integrated development of sports and medicine.
Key Words: metaverse; sports medicine education; ecosystem; digital reconstruction; governance optimization
ISSN: 3006-4236
Volume 1, Issue 4
December 2024
Pages: 1-64