Author:
Miao Feng,Zhang Qiang,Yan Jun
Abstract
This study explores the design and implementation of individualized learning trajectories in university smart sports education classrooms, providing theoretical and practical guidance for constructing a more intelligent and personalized physical education environment. The importance of individualized learning trajectory design in the field of physical education is introduced, and the key role of artificial intelligence technology in individualized learning is discussed. The theoretical foundation and application of individualized learning in university smart sports education classrooms are discussed, including socio-cultural theory, emotional cognitive theory, and autonomous learning theory. In terms of application, the identification and analysis of students' individual differences, the setting of personalized learning goals and plans, the selection and provision of personalized learning resources, and the methods and tools for personalized learning support and guidance are proposed. The design of individualized learning trajectories based on artificial intelligence technology is also explored, including the specific applications of intelligent learning assessment tools, personalized learning resource recommendations, and machine learning algorithms. Implementation and evaluation methods for individualized learning trajectory design have been introduced and indicators have been selected. The advantages, challenges, and future development directions of individualized learning trajectory design are discussed. The results show that individualized learning trajectory design can improve student learning effectiveness and interest while facing certain challenges and limitations. In the future, attention should be paid to the combination of technological innovation and educational reform to promote the development of individualized learning trajectory design, and to emphasize the continuous impact and positive significance of individualized learning trajectories in university smart sports education classrooms.
Publisher
Century Science Publishing Co
Reference10 articles.
1. Zhu, Q. , & Sun, J. . (2017). Competitive product behavior and family sports multimedia education platform based on smart system. Revista De La Facultad De Ingenieria, 32(4), 666-672.
2. Huang, X. , Huang, X. , & Wang, X. . (2021). Construction of the teaching quality monitoring system of physical education courses in colleges and universities based on the construction of smart campus with artificial intelligence. Hindawi Limited.
3. Sundin, O. , & Johannisson, J. . (2015). Pragmatism, neo-pragmatism and sociocultural theory: communicative participation as a perspective in lis. Journal of Documentation, 61(1), 23-43.
4. Mischel, Walter, Shoda, & Yuichi. (1995). A cognitive-affective system theory of personality: reconceptualizing situations, dispositions. Psychological Review.
5. Guoxue, S. . (2004). The empirical research on underlying hypotheses about personal qualities of the self-directed learning theory. Studies In Forgn Education.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献