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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References
Brand, B.R., Moore, S.J.: Enhancing Teachers’ Application of Inquiry- Based Strategies Using a Constructivist Sociocultural Professional Development Model. International Journal of Science Education 33(7), 889–913 (2011)
Howe, J.: Crowdsourcing: How the Power of the Crowd Is Driving the Future of Business. Random House Business Books, Great Britain (2008)
Huberman, B.A., Romero, D.M., Wu, F.: Crowdsourcing, attention and productivity. Journal of Information Science 35(6), 758–765 (2009)
Huffaker, D.A.: Dimensions of Leadership and Social Influence in Online Communities. (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses. (Accession Order No. UMI 1451129) (2009)
Illeris, K.: Contemporary theories of learning: learning theorists... in their own words. Taylor & Francis (2009)
Moturu, S.T., Liu, H.: Quantifying the trustworthiness of social media content. Distributed Parallel Databases 29, 239–260 (2011)
Roman, D.: Crowdsourcing and the question of expertise. Communications of the ACM - Finding the Fun in Computer Science Education 52(12), 12 (2009)
Surowiecki, J.: The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations Little, BrownISBN 0-316-86173-1 (2004)
Tam, M.: Constructivism, instructional design, and technology: Implications for transforming distance learning. Educational Technology & Society 3(2), 50–60 (2000)
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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
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