| Autor: |
Yang Hui, Xu Xiaoqin, Shu Bichao |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2444-8656 |
| DOI: |
10.2478/amns-2024-0800 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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