Research on the Intelligent Teaching Model in Physical Education

DOI

10.2991/978-94-6463-674-1_14How to use a DOI?

Keywords

Intelligent teaching; Individualized training; Physical education

Abstract

To improve the quality and personalization of physical education teaching, an intelligent teaching model is established, integrating deep learning techniques with convolutional neural networks and long short-term memory networks. This model collects and analyzes multi-dimensional data on students’ physical abilities and skills, offering individualized training plans. Results indicate that the intelligent model increases students’ skill improvement rate by 50.1%, physical improvement rate by 42.8%, and accuracy of technical movements by 47.9%, compared to 25.3%, 18.4%, and 15.2% in the traditional model, respectively. Performance enhancement under data augmentation reached 16.6%, demonstrating the model’s significant advantages in advancing students’ skills, physical abilities, and learning outcomes.

Copyright

© 2025 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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TY  - CONF
AU  - Xuan Zhao
PY  - 2025
DA  - 2025/03/17
TI  - Research on the Intelligent Teaching Model in Physical Education
BT  - Proceedings of the 2024 Seminar on Educational Technology and Management Information Systems (ETMIS 2024)
PB  - Atlantis Press
SP  - 114
EP  - 123
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-674-1_14
DO  - 10.2991/978-94-6463-674-1_14
ID  - Zhao2025
ER  -