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Design of Online Teaching System of Real Estate Operation and Management Course Based on Cloud Model

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e-Learning, e-Education, and Online Training (eLEOT 2021)

Abstract

In order to improve the performance of the online teaching system for real estate operation and management courses, a cloud model-based online teaching system design for real estate operation and management courses is proposed. The cloud model is applied to the network architecture design of the online teaching system of real estate operation and management courses, and the real estate operation and management courses are realized by designing online management modules, training management modules, course resource management modules, exam resource management modules, and remote video modules Online teaching system design. The test results show that the online teaching system of real estate operation and management courses based on the cloud model has higher performance and speeds up the system’s response speed.

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Authors and Affiliations

  1. Faculty of Management, Chongqing College of Architecture and Technology, Chongqing, 400000, China

    Yi-pin Yan & Qian Peng

Authors
  1. Yi-pin Yan
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  2. Qian Peng
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Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. Hunan Normal University, Changsha, China

    Shuai Liu

  3. Hunan Normal University, Changsha, China

    Jianhua Dai

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yan, Yp., Peng, Q. (2021). Design of Online Teaching System of Real Estate Operation and Management Course Based on Cloud Model. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-84383-0_51

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  • DOI: https://doi.org/10.1007/978-3-030-84383-0_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84382-3

  • Online ISBN: 978-3-030-84383-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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