Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

April 1, 2024


Pages


DOI

Article

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

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Authors

Hui Yang Affiliation:
Physical Education Institute, Hunan International Economics University, Changsha, Hunan, 410205, China.
, Xiaoqin Xu Affiliation:
Physical Education Institute, Hunan International Economics University, Changsha, Hunan, 410205, China.
and Bichao Shu Affiliation:
Physical Education Institute, Hunan International Economics University, Changsha, Hunan, 410205, China.


Abstract

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.


Keywords

Deep learning, Teaching mode, Innovative consciousness, Comprehensive literacy, 65Y04


Citation

Yang, H., Xu, X., & Shu, B. (2024). Research on the path of improving physical education teaching in colleges and universities based on deep learning. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0800

Published by: Engineering Journals

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