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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.
Feng et al. (Mon,) studied this question.
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