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|Title:||Problem Solving as a Complex, Evolutionary Activity: A Methodological Framework for Analyzing Problem-Solving Processes in a Computer-Supported Collaborative Environment|
Kinzer, Charles K.
|Publisher:||International Society of the Learning Sciences (ISLS)|
|Citation:||Kapur, M., Voiklis, J., & Kinzer, C. K. (2005). Problem Solving as a Complex, Evolutionary Activity: A Methodological Framework for Analyzing Problem-Solving Processes in a Computer-Supported Collaborative Environment. In Koschmann, T., Suthers, D. D., & Chan, T. (Eds.), Proceedings of the International Conference on Computer Supported Collaborative Learning 2005 (pp. 252-261). Taipei, Taiwan: International Society of the Learning Sciences.|
|Abstract:||Viewed through the lens of complex systems science, one may conceptualize problem- solving interactions among multiple actors, artifacts, tools, and environmental structures as goal-seeking adaptations, and problem-solving itself, as a complex adaptive activity. Theories of biological evolution point to an analogical equivalence between problem solving and evolutionary processes and, thus, introduce innovative methodological tools to the analysis of computer-supported, collaborative, problem-solving processes. In this paper, we present a methodological framework for characterizing and analyzing these processes. We describe four measures that characterize genetic evolution - number, function, fitness, and persistence - to characterize the process of collaborative problem solving, and instantiate them in a study of problem-solving interactions of collaborative groups in an online, synchronous environment. Issues relating to reliability, validity, usefulness, and limitations of the proposed methodology are discussed.|
|Appears in Collections:||CSCL 2005|
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