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A Quality Control Model for Trustworthy Crowdsourcing in Collaborative Learning

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Robot Intelligence Technology and Applications 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 208))

Abstract

Crowdsourcing is getting more popular in various on-line communities. This method allows many people to share and learn knowledge through collaborations. However, fraud or inaccurate information often causes crucial problems and the quality and accuracy of the knowledge became a major issue. This paper investigates the effects of crowdsourcing in education. Inquiry-based learning will be employed as an educational technology. This paper will then introduce a quality control model that integrates trustworthy crowdsourcing into collaborative learning. A new method for credit rating will be introduced.

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Author information

Authors and Affiliations

  1. School of Information and Communication Technology, Griffith University, Parkland Dr., Southport, QLD, Australia

    Jun Jo, Ann Stevens & Clarence Tan

Authors
  1. Jun Jo
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  2. Ann Stevens
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  3. Clarence Tan
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Corresponding author

Correspondence to Jun Jo .

Editor information

Editors and Affiliations

  1. , Electrical Engineering and Computer Sci., KAIST, 291 Daehak-ro, Daejeon, 305-701, Korea, Republic of (South Korea)

    Jong-Hwan Kim

  2. Dept. Computer &, Information Technology (ICT), Purdue University, N. Grant St. 401, West Lafayette, 47907-1421, Indiana, USA

    Eric T. Matson

  3. , Dept. of Civil and Environmental Engg., KAIST, Daehak-ro 291, Daejeon, 305-701, Korea, Republic of (South Korea)

    Hyun Myung

  4. , Faculty of Engineering, The University of Auckland, Private Bag, Auckland, 1142, New Zealand

    Peter Xu

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Jo, J., Stevens, A., Tan, C. (2013). A Quality Control Model for Trustworthy Crowdsourcing in Collaborative Learning. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-37374-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37373-2

  • Online ISBN: 978-3-642-37374-9

  • eBook Packages: EngineeringEngineering (R0)

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