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Research on Online Learning Platform Based on Cloud Computing and Big Data Technology

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Cognitive Cities (IC3 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1227))

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Abstract

The online learning platform is the key category of online education research, cloud computing and big data technology combined with the form of online learning, points out the new direction of development, had a great change and to enhance the online learning platform of the traditional operation mode and method of data analysis. Aiming at the problems of online learning platform, the use of cloud computing and big data technology, the design and implementation of online learning platform, improve the interaction effect between teachers and learners online.

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Author information

Authors and Affiliations

  1. Office of Educational Administration, Xuan Cheng Vocational and Technical College, Xuancheng, 242000, Anhui, China

    Guan-Qun Cai

  2. Training Center, Xuan Cheng Vocational and Technical College, Xuancheng, 242000, Anhui, China

    Qing-Hua Wang

Authors
  1. Guan-Qun Cai
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  2. Qing-Hua Wang
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Corresponding author

Correspondence to Guan-Qun Cai .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Jian Shen

  2. National Taitung University, Taitung City, Taiwan

    Yao-Chung Chang

  3. National Taiwan Ocean University, Keelung, Taiwan

    Yu-Sheng Su

  4. Kyoto University, Kyoto, Japan

    Hiroaki Ogata

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© 2020 Springer Nature Singapore Pte Ltd.

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Cai, GQ., Wang, QH. (2020). Research on Online Learning Platform Based on Cloud Computing and Big Data Technology. In: Shen, J., Chang, YC., Su, YS., Ogata, H. (eds) Cognitive Cities. IC3 2019. Communications in Computer and Information Science, vol 1227. Springer, Singapore. https://doi.org/10.1007/978-981-15-6113-9_41

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  • DOI: https://doi.org/10.1007/978-981-15-6113-9_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6112-2

  • Online ISBN: 978-981-15-6113-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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