Research on the Path of Improving Physical Education Teaching in Colleges and Universities Based on Deep Learning
Publié en ligne: 01 avr. 2024
Reçu: 02 févr. 2024
Accepté: 07 févr. 2024
DOI: https://doi.org/10.2478/amns-2024-0800
Mots clés
© 2024 Hui Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.