Open Access

Research on the Path of Improving Physical Education Teaching in Colleges and Universities Based on Deep Learning


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This research investigates the application of deep learning to college physical education, proposing an innovative teaching methodology that significantly improves outcomes by fostering students’ practical skills and innovation. We introduce a structured deep learning model encompassing four stages and twelve instructional steps, employing an “independent-cooperative-inquiry” modality in real-world teaching scenarios. Through empirical assessment in various T colleges, notable enhancements were observed in student attitudes toward physical education, collaborative spirit, and physical health, culminating in a 92% satisfaction rate with the teaching approach and an 85% boost in learning effectiveness. Adopting a deep learning-based pedagogy in physical education elevates teaching quality and enriches students’ comprehensive abilities, charting a new course for the pedagogical advancement in this field.

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics