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

Michelle H. Wilkerson, Pratim Sengupta, Uri Wilensky

Research output: Contribution to journalConference articlepeer-review

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 languageEnglish (US)
Pages (from-to)151-152
Number of pages2
JournalComputer-Supported Collaborative Learning Conference, CSCL
Issue numberPART 3
StatePublished - Dec 1 2008
EventInternational Perspectives in the Learning Sciences: Cre8ing a Learning World - 8th International Conference for the Learning Sciences, ICLS 2008 - Utrecht, Netherlands
Duration: Jun 23 2008Jun 28 2008

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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