Please use this identifier to cite or link to this item:
|Title:||Social Software and Knowledge Building: Supporting Co-Evolution of Individual and Collective Knowledge|
|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|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.