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

@article{282e8a9973bf42e4b7781137e4fcb51c,

title = "Perceptual supports for sensemaking: A case study using multi agent based computational learning environments",

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.",

author = "Wilkerson, {Michelle H.} and Pratim Sengupta and Uri Wilensky",

year = "2008",

month = dec,

day = "1",

language = "English (US)",

pages = "151--152",

journal = "Computer-Supported Collaborative Learning Conference, CSCL",

issn = "1573-4552",

number = "PART 3",

note = "International Perspectives in the Learning Sciences: Cre8ing a Learning World - 8th International Conference for the Learning Sciences, ICLS 2008 ; Conference date: 23-06-2008 Through 28-06-2008",

}

TY - JOUR

T1 - Perceptual supports for sensemaking

T2 - International Perspectives in the Learning Sciences: Cre8ing a Learning World - 8th International Conference for the Learning Sciences, ICLS 2008

AU - Wilkerson, Michelle H.

AU - Sengupta, Pratim

AU - Wilensky, Uri

PY - 2008/12/1

Y1 - 2008/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84880423385&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880423385&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84880423385

SP - 151

EP - 152

JO - Computer-Supported Collaborative Learning Conference, CSCL

JF - Computer-Supported Collaborative Learning Conference, CSCL

SN - 1573-4552

IS - PART 3

Y2 - 23 June 2008 through 28 June 2008

ER -

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

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this