A Quality Control Model for Trustworthy Crowdsourcing in Collaborative Learning
Author(s)
Jo, Jun Hyung
Stevens, Ann
Tan, Clarence
Griffith University Author(s)
Year published
2013
Metadata
Show full item recordAbstract
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.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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Conference Title
Robot Intelligence Technology and Applications: Proceedings of the 1st International Conference on Robot Intelligence Technology and Applications 2012
Publisher URI
Subject
Educational technology and computing