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International Journal of Neural Network, 2021, 2(3); doi: 10.38007/NN.2021.020304.

Successful Physical Education Teaching Model Relying on Deep Learning in College Volleyball Teaching

Author(s)

Hairong Yang

Corresponding Author:
Hairong Yang
Affiliation(s)

Yunan Normal University, Kunming, China

Abstract

With the continuous innovation of information technology and science and the rapid rise of 5G network, information education is going deep into all levels and disciplines in the field of education. As a new science, deep learning is favored by many people, involved and applied in various fields, and also received extensive attention in the field of education. The research object of this study is the application of deep learning to assist college sports volleyball teaching. By using the methods of literature, inquiry, teaching experiment and other research methods, this paper conducted an 18 week experiment on 60 students in the optional course of college sports volleyball, and used the physical exercise attitude scale and questionnaire to understand the individual feelings of the students in the experimental class about the deep learning assisted teaching and learning. SPSS 22.0 was used to analyze the differences between the experimental class and the control class in physical quality, basic volleyball skills and exercise attitude. Students acknowledge and accept them. In the experimental class, 70% of the students were very satisfied with the deep learning action tracking technology assisted teaching method adopted by the teacher in the course of learning, and 10% of the students were satisfied.

Keywords

Deep Learning, Teaching Experiment, Volleyball Teaching, Controlled Experiment

Cite This Paper

Hairong Yang. Successful Physical Education Teaching Model Relying on Deep Learning in College Volleyball Teaching. International Journal of Neural Network (2021), Vol. 2, Issue 3: 27-36. https://doi.org/10.38007/NN.2021.020304.

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