Perceptual supports for sensemaking: A case study using multi agent based computational learning environments

Michelle H. Wilkerson; Pratim Sengupta; Uri Wilensky

Perceptual supports for sensemaking: A case study using multi agent based computational learning environments

Michelle H. Wilkerson, Pratim Sengupta, Uri Wilensky

School of Education and Social Policy

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

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.

Original language	English (US)
Pages (from-to)	151-152
Number of pages	2
Journal	Computer-Supported Collaborative Learning Conference, CSCL
Issue number	PART 3
State	Published - Dec 1 2008
Event	International Perspectives in the Learning Sciences: Cre8ing a Learning World - 8th International Conference for the Learning Sciences, ICLS 2008 - Utrecht, Netherlands Duration: Jun 23 2008 → Jun 28 2008

ASJC Scopus subject areas

Human-Computer Interaction
Education

Cite this

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M3 - Conference article

AN - SCOPUS:84880423385

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Perceptual supports for sensemaking: A case study using multi agent based computational learning environments

Abstract

ASJC Scopus subject areas

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