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Title: Social Software and Knowledge Building: Supporting Co-Evolution of Individual and Collective Knowledge
Authors: Kimmerle, Joachim
Cress, Ulrike
Held, Christoph
Moskaliuk, Johannes
Issue Date: Jun-2010
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Kimmerle, J., Cress, U., Held, C., & Moskaliuk, J. (2010). Social Software and Knowledge Building: Supporting Co-Evolution of Individual and Collective Knowledge. In Gomez, K., Lyons, L., & Radinsky, J. (Eds.), Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences (ICLS 2010) - Volume 1, Full Papers (pp. 9-16). Chicago IL: International Society of the Learning Sciences.
Abstract: This paper presents a framework model that defines learning and knowledge building as a co-evolution of cognitive and social systems. This model brings together Scardamalia and Bereiter's theory of knowledge building and Nonaka's knowledge creation theory. We demonstrate how learning and knowledge building may occur when people interact with each other, using shared digital artifacts such as tag clouds (that result from social-tagging activities) or wikis. For both technologies, we provide illustrating data from two pilot studies. As an example, we refer to the learning processes that take place while searching for information in tag clouds. In addition, we illustrate processes of knowledge building by referring to users working on a wiki. In conclusion, the differences and similarities between these technologies are assessed, regarding their potential for knowledge building.
Appears in Collections:ICLS 2010

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