A Study on the Opportunities,Challenges and Strategies of School Physical Education in China based on the Sora Video Model
Sora is a text to video generative AI model released by OpenAI in February of 2024.This model has been trained to generate realistic or imaginative scene videos from text instructions and demonstrates the potential to simulate the physical world.This paper uses research methods such as literature review and logical analysis to explore the opportunities,challenges,and strategies of physical education in Chinese schools based on the Sora video model.Research finds that the Sora model has the function of providing personalized content,interactive learning,and different visual representations in physical education,which brings opportunities to school physical education in China:providing targeted teaching content can meet the needs of personalized physical education teaching;The process of showcasing high-level sports skills can improve learning efficiency;Creating virtual sports scenarios is beneficial for enhancing learning motivation and enhancing interest in sports;It can narrow the gap in physical education between urban and rural areas and promote educational equity.At the same time,it brings challenges to physical education in Chinese schools:the technical adaptability of physical education teaching subjects;the quality and accuracy of physical education teaching content;the diversity of physical education teaching evaluation.Based on this,the development strategy of school physical education in China is proposed:strengthening the technical training of physical education teachers;developing quality standards and review mechanisms for AI generated physical education teaching content;providing policy support and reasonable allocation of educational resources,so as to promote the application of the Sora model for the development of physical education in schools in China.
text to video generative modelSoraphysical educationphysical education teaching
NETL
NSTL
万方数据
维普
