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Construction of Efficient Cloud-Based Digital Course Learning Platform for Agricultural Worker

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Emerging Technologies for Education (SETE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

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Abstract

The trend of e-learning has become increasingly important. E-learning technically applies the advantages of features of the network, including no limitation to place and time, highly interactive, community impacts, and data analysis. Governments, educational institutions, companies and non-profit organizations have quickly established an eco-system to replace the traditional forms of teaching. How to use the ever-changing technology to enhance the manpower quality of government agencies and to help nurture talent is the objective of this study. Therefore, this study proposed a construction of efficient cloud architecture based digital course learning platform for agricultural workers. Through the proposed real-time streaming technology in this study, we can learn the network streaming traffic when videos are played. Furthermore, by employing the cloud architecture, the proposed method can optimize the efficiency of server resources via dynamic allocation and will contribute to a high-quality digital learning effect when users learn digital courses online.

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Author information

Authors and Affiliations

  1. Computer and Network Center, National Cheng Kung University, Tainan City 701, Taiwan

    Jui-Hung Chang

  2. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan

    Chien-Yuan Tseng

  3. Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan

    Ren-Hung Hwang

Authors
  1. Jui-Hung Chang
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  2. Chien-Yuan Tseng
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  3. Ren-Hung Hwang
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Corresponding author

Correspondence to Jui-Hung Chang .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ting-Ting Wu

  2. Free University of Bozen-Bolzano, Rome, Italy

    Rosella Gennari

  3. National Cheng-Kung University, Tainan, Taiwan

    Yueh-Min Huang

  4. The Education University of Hong Kong, Hong Kong, Hong Kong

    Haoran Xie

  5. MC Information Multimedia Communication AG, Saarbrücken, Germany

    Yiwei Cao

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Chang, JH., Tseng, CY., Hwang, RH. (2017). Construction of Efficient Cloud-Based Digital Course Learning Platform for Agricultural Worker. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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