Skip to main content

Development Trend and Content Status of Physical Education Undergraduate in Normal Universities Based on Big Data

  • Conference paper
  • First Online:
Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

  • 21 Accesses

Abstract

With the development of the times, under the guidance of mobile cloud Internet, computer network and other high-tech technologies, education gradually gets rid of the traditional shackles of teaching mode, and also gets rid of the limitations of traditional teaching mode in space and time, and develops intelligent thinking. In this paper, the author introduces the current situation of physical education (PE) in Colleges and universities (CAU) by using the method of statistics, which is based on the data of compulsory PE in CAU At the same time, it puts forward some suggestions for the improvement of sports CAU in China. The experimental results show that the development trend of PE undergraduate in normal universities in China has been greatly improved, the enthusiasm of students for PE has increased by 13%, and PE is developing towards a better and better direction.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wang, Y., Kung, L.A., Byrd, T.A.: Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Change 126, 3–13 (2018)

    Article  Google Scholar 

  2. Athey, S.: Special issue perspective beyond prediction: using big data for policy problems. Sci. 355(6324), 483–485 (2017)

    Article  Google Scholar 

  3. Janssen, M., Haiko, V.D.V., Wahyudi, A.: Factors influencing big data decision-making quality. J. Bus. Res. 70, 338–345 (2017)

    Article  Google Scholar 

  4. Rathore, M.M.U., Paul, A., Ahmad, A., et al.: Real-time big data analytical architecture for remote sensing application. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 8(10), 4610–4621 (2017)

    Article  Google Scholar 

  5. Xu, L., Jiang, C., Wang, J., et al.: information security in big data: privacy and data mining. IEEE Access 2(2), 1149–1176 (2017)

    Google Scholar 

  6. Mei, J., Moura, J.M.F.: Signal processing on graphs: causal modeling of big data. IEEE Trans. Sign. Process. 65(8), 2077–2092 (2017)

    Article  Google Scholar 

  7. Zhang, Y., Qiu, M., Tsai, C.W., et al.: Health-CPS: healthcare cyber-physical system assisted by cloud and big data. IEEE Syst. J. 11(1), 88–95 (2017)

    Article  Google Scholar 

  8. Zhou, L., Pan, S., Wang, J., et al.: Machine learning on big data: opportunities and challenges. Neurocomputing 237(MAY10), 350–361 (2017)

    Article  Google Scholar 

  9. He, Y., Yu, F.R., Zhao, N., et al.: Software-defined networks with mobile edge computing and caching for smart cities: a big data deep reinforcement learning approach. IEEE Commun. Mag. 55(12), 31–37 (2017)

    Article  Google Scholar 

  10. Cai, H., Xu, B., Jiang, L., et al.: IoT-based big data storage systems in cloud computing: perspectives and challenges. IEEE Internet Things J. 4(1), 75–87 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ke Sun .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Du, H., Zhu, J., Sun, K. (2021). Development Trend and Content Status of Physical Education Undergraduate in Normal Universities Based on Big Data. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_71

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-4572-0_71

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics