Classrooms based on physical education deep learning should provide individuals with more free imagination space and more autonomous exploration boundaries. Physical education deep learning should be linked to the core competencies of physical education and distinguished from other disciplines. This research through a dialectical research paradigm, analyze the structure of the physical education deep learning classroom: high-level cognition, high challenge topics, high engagement state, and high interesting situations. This research propose strategies for the transformation of physical education classrooms: analyze subject connections and promote deep understanding; Pay attention to differences in motivation and design diverse topics; Emphasize state recognition and complement classroom collaboration; Create interesting situations and strive to transfer and apply them. The integration of skill principles and student experience is the true goal of deep physical education learning.

Feng Zhaoyuan, Zhang Bingbing. Classroom Turning and Dialectical Treatment Based on PE Deep Learning. Frontiers in Sport Research (2023) Vol. 5, Issue 6: 41-47. https://doi.org/10.25236/FSR.2023.050608.

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