Abstract
Several approaches in CSCL research conceptualize and empirically explore the relations between specific qualities of text-based knowledge building processes in CSCL and successful knowledge construction. In argumentative knowledge construction, for example, a positive relation is assumed to exist between argumentation and individual knowledge construction. In order to test such assumptions and provide findings that are generalizable, the respective qualities must be appropriately quantified. This chapter describes MAQCOD (Multidimensional Approach for the Qualitative Coding of Online Discussions) which allows the theoretical assumptions of relations between qualities of text-based knowledge building processes and knowledge construction to be tested via the development of rules for segmentation and coding and the application of high-level data analysis to already coded data.
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Stegmann, K., Fischer, F. (2011). Quantifying Qualities in Collaborative Knowledge Construction: The Analysis of Online Discussions. In: Puntambekar, S., Erkens, G., Hmelo-Silver, C. (eds) Analyzing Interactions in CSCL. Computer-Supported Collaborative Learning Series, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7710-6_12
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