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Development of Physical Education Network Course Resources Based on Intelligent Sensor Network

Author

Listed:
  • Moutao Li
  • Ditao Song
  • Xiaoyong Hu
  • Xuefeng Shao

Abstract

Judging from the current online teaching practice of higher physical education basic theory courses, there are many problems such as lagging theory, unclear models, confusing mechanisms, outdated methods, and lack of resources, resulting in the low interest of students. Basic theory courses are studied. The phenomenon of skipping class and being late is common, which seriously affects the improvement of the comprehensive quality of physical education students. Therefore, it has become an urgent problem for the majority of higher sports workers to develop learning resources for basic physical education courses and realize the innovation and application of the teaching mode of higher sports online courses. Compared with the traditional teaching method, the students’ physical education teaching performance is improved by about 30%, and their personality is fully developed. Linking teacher performance to changes in student performance parameters can effectively improve teacher motivation. This shows that under the background of intelligent sensor network, the physical education network course can effectively improve the teaching efficiency.

Suggested Citation

  • Moutao Li & Ditao Song & Xiaoyong Hu & Xuefeng Shao, 2022. "Development of Physical Education Network Course Resources Based on Intelligent Sensor Network," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, September.
    • Handle: RePEc:hin:jnlmpe:9934524
    DOI: 10.1155/2022/9934524
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