Please use this identifier to cite or link to this item: https://repository.isls.org/handle/1/430
Title: Using Situated-Action Networks to Visualize Complex Learning
Authors: Andrade, Alejandro
Issue Date: Jul-2015
Publisher: International Society of the Learning Sciences, Inc. [ISLS].
Citation: Andrade, A. (2015). Using Situated-Action Networks to Visualize Complex Learning In Lindwall, O., Häkkinen, P., Koschmann, T. Tchounikine, P. Ludvigsen, S. (Eds.) (2015). Exploring the Material Conditions of Learning: The Computer Supported Collaborative Learning (CSCL) Conference 2015, Volume 1. Gothenburg, Sweden: The International Society of the Learning Sciences.
Abstract: The purpose of this paper is to show how Situated-Action Networks (SAN) is a viable visualization tool for representing the learning that happens as a movement from peripheral to more engaged forms of participation in a social activity. In taking action as the unit of analysis, persons, speech acts, and artifacts are considered as the nodes in a functional model of learning. This method is illustrated by a simple proxy where a graduate student takes the place of a pilot apprentice who learns how to land an airplane in a computer simulation. Findings show that the SAN’s sociographs and the learning trajectory plot display the interconnected complexity of the learning that occurred at various forms of action as a result of participation. Further work and limitations of this method are discussed.
URI: https://repository.isls.org/handle/1/430
https://doi.dx.org/10.22318/cscl2015.340
Appears in Collections:CSCL 2015

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