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Construction of Network Course System of Construction Machinery Specialty Based on Cloud Class

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e-Learning, e-Education, and Online Training (eLEOT 2020)

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Abstract

At present, the learning module of online courses for engineering machinery majors is chaotic and data storage is not timely, which leads to the defect of low knowledge conversion rate in online courses. Aiming at this problem, a new network course system for engineering machinery specialty based on cloud class is designed. Based on modular curriculum structure, level of course phase steps and coordinated network curriculum development process design process, and on this basis, from the perspective of learners, design a cloud platform network curriculum content, making learning modules, design of the real-time database storage system, strengthen network curriculum knowledge conversion, finally realizes the operation of the network curriculum system, major in engineering or mechanism. The experimental results show that: compared with the traditional three kinds of network course system for engineering machinery, the network course system for engineering machinery designed in this paper has greatly improved the knowledge conversion rate, which fully shows that the network course system for engineering machinery has better application performance.

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Funding

Research Project on the Modern Education Technology of Jiangsu Province (Project No.: 2019-R-74828).

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Authors and Affiliations

  1. College of Rail Transit, Nanjing Vocational Institute of Transport Technology, Nanjing, 211188, China

    Xu You-jun

Authors
  1. Xu You-jun
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Corresponding author

Correspondence to Xu You-jun .

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Editors and Affiliations

  1. Human Normal University, Changsha, China

    Shuai Liu

  2. Harbin University, Harbin, China

    Guanglu Sun

  3. Hunan Normal University, Changsha, China

    Weina Fu

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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You-jun, X. (2020). Construction of Network Course System of Construction Machinery Specialty Based on Cloud Class. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-63952-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63951-8

  • Online ISBN: 978-3-030-63952-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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