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|Title:||Perceptual Supports for Sensemaking: A Case Study Using Multi Agent Based Computational Learning Environments|
|Publisher:||International Society of the Learning Sciences, Inc.|
|Citation:||Wilkerson, M., Sengupta, P., & Wilensky, U. (2008). Perceptual Supports for Sensemaking: A Case Study Using Multi Agent Based Computational Learning Environments. In Kanselaar, G., Jonker, V., Kirschner, P. A., & Prins, F. J. (Eds.), International Perspectives in the Learning Sciences: Cre8ing a learning world. Proceedings of the Eighth International Conference for the Learning Sciences – ICLS 2008, Volumes 3 (pp. 151-152). Utrecht, The Netherlands: International Society of the Learning Sciences.|
|Abstract:||Many studies have examined how learners make sense of the traditionally difficult ideas of levels and emergence in complex systems by interacting with visuospatial multi agent based models. In this poster, we review these findings through the lens of human basic perceptual/representational systems. We argue that many of learners' observed strategies and explanations surrounding the ideas of levels and emergence are supported by visualizations that leverage perceptual systems related to objects, motion, and geometry.|
|Appears in Collections:||ICLS 2008|
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