Exploration of Integrating “Technology+” Swimming Course Teaching for College Students

Li Song; Dianyi Song; Xinxin Hao; Xiaoya Zhao

doi:10.2991/978-94-6463-242-2_37

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Exploration of Integrating “Technology+” Swimming Course Teaching for College Students

Authors

Li Song¹, Dianyi Song¹^{, *}, Xinxin Hao¹, Xiaoya Zhao²

¹National University of Defense Technology, Changsha, China

²Hebei Vocational University of Industry and Technology, Shijiazhuang, China

^*Corresponding author.

Corresponding Author

Dianyi Song

Available Online 22 September 2023.

DOI: 10.2991/978-94-6463-242-2_37 How to use a DOI?
Keywords: Swimming Course Teaching; “Technology+”; College Students; Deep Learning
Abstract: Swimming is a compulsory course for survival, and in the university life where spare time is more adequate, more and more college students join swimming lessons, and then the teaching quality for swimming courses needs close attention. This article adopted the “technology+” deep learning method to improve and upgrade the teaching methods of swimming courses for college students, and compared the results with traditional teaching methods to obtain results. In the experimental results, the average teaching quality and average learning quality using deep learning methods were improved to 85 and 86 points, respectively. Compared with the upgraded double 79 points using traditional methods, it has increased by 6 points and 7 points respectively. The results indicated that the “technology+” method, which focuses on deep learning, can effectively improve the teaching quality of swimming courses and the quality of students’ learning.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
Series: Atlantis Highlights in Computer Sciences
Publication Date: 22 September 2023
ISBN: 10.2991/978-94-6463-242-2_37
ISSN: 2589-4900
DOI: 10.2991/978-94-6463-242-2_37 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Li Song
AU  - Dianyi Song
AU  - Xinxin Hao
AU  - Xiaoya Zhao
PY  - 2023
DA  - 2023/09/22
TI  - Exploration of Integrating “Technology+” Swimming Course Teaching for College Students
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 301
EP  - 309
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_37
DO  - 10.2991/978-94-6463-242-2_37
ID  - Song2023
ER  -

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