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The Construction of Music Performance Teaching Resource Service Platform Based on Cloud Computing

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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))

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Abstract

With the continuous development of educational informationization, cloud computing technology is widely used in Colleges and universities, especially in the development and construction of a teaching resource platform. Taking the music performance major as an example, this paper combs the teaching resource platforms of major domestic famous music colleges and universities, and on this basis, explores the possibility of the construction of a music performance teaching resource service platform based on cloud computing.

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References

  1. Wang, F.: Research on the integration of university teaching resources based on cloud computing. Fujian Comput. 2, 33–34 (2011)

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Author information

Authors and Affiliations

  1. School of Music and Dance, Hubei University of Arts and Science, Xiangyang, 441053, Hubei, China

    Yang Li

Authors
  1. Yang Li
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Correspondence to Yang Li .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Fukushima, Japan

    Neil Yen

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

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

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Li, Y. (2021). The Construction of Music Performance Teaching Resource Service Platform Based on Cloud Computing. 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_222

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_222

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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