Classroom Turning and Dialectical Treatment Based on PE Deep Learning

Zhaoyuan Feng, Bingbing Zhang
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Abstract

: 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.
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基于体育深度学习的课堂转向与辩证治疗
:基于体育深度学习的课堂应该为个体提供更自由的想象空间和更自主的探索边界。体育深度学习应与体育核心竞争力相联系,区别于其他学科。本研究通过辩证的研究范式,分析了体育深度学习课堂的结构:高水平认知、高挑战性话题、高投入状态、高趣味性情境。本研究提出了体育课堂转型的策略:分析学科联系,促进深刻理解;注意动机的差异,设计多样化的话题;强调国家认同,补充课堂合作;创造有趣的情景,并努力转移和应用它们。技能原则与学生体验的融合是体育深度学习的真正目标。
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