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Building the Virtual Experiment Learning Activities to Facilitate IPv6 Online Training

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

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Abstract

Due to the IPV4 address exhaustion problem, how to efficiently promote and learn the IPv6 upgrade knowledge has been paid more attention. Therefore, based on the scaffolding concept, this study proposes a design scheme of the Virtual Experiment Learning Activity for IPv6 (IPv6-VELA) to integrate learning materials for conceptual learning with virtual experiment for hands-on learning. Thereby, the trainee can learn the IPv6 upgrade knowledge in the step-by-step manner by means of the scaffolding learning supports, i.e., formative and summative diagnostic reports generated according to the learning portfolio. The experimental result also shows that the IPv6-VELA-based learning activity is beneficial for the trainee and teacher.

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Author information

Authors and Affiliations

  1. Department of Information and Learning Technology, National University of Tainan, Tainan, Taiwan

    Jun-Ming Su & Ting-Wei Lin

  2. Department of Applied Informatics and Multimedia, Asia University, Taichung, Taiwan

    Shian-Shyong Tseng

Authors
  1. Jun-Ming Su
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  2. Shian-Shyong Tseng
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  3. Ting-Wei Lin
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Corresponding author

Correspondence to Jun-Ming Su .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

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© 2016 Springer International Publishing Switzerland

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Su, JM., Tseng, SS., Lin, TW. (2016). Building the Virtual Experiment Learning Activities to Facilitate IPv6 Online Training. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_31

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  • DOI: https://doi.org/10.1007/978-3-319-23204-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23203-4

  • Online ISBN: 978-3-319-23204-1

  • eBook Packages: EngineeringEngineering (R0)

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