Model-based learning about climate change with productive failure: preliminary findings

Paper

Jacobson, Michael J., Markauskaite, Lina, Kelly, Nick and Stokes, Paul G.. 2012. "Model-based learning about climate change with productive failure: preliminary findings." Tyson, Cynthia A. (ed.) 2012 American Educational Research Association Annual Meeting (AERA 2012). Vancouver, Canada 13 - 17 Apr 2012 Washington, DC. United States.
Paper/Presentation Title

Model-based learning about climate change with productive failure: preliminary findings

Presentation TypePaper
AuthorsJacobson, Michael J. (Author), Markauskaite, Lina (Author), Kelly, Nick (Author) and Stokes, Paul G. (Author)
EditorsTyson, Cynthia A.
Journal or Proceedings TitleProceedings of the 2012 American Educational Research Association Annual Meeting (AERA 2012)
Number of Pages10
Year2012
Place of PublicationWashington, DC. United States
Conference/Event2012 American Educational Research Association Annual Meeting (AERA 2012)
Event Details
2012 American Educational Research Association Annual Meeting (AERA 2012)
Parent
American Educational Research Association Annual Meeting (AERA)
Delivery
In person
Event Date
13 to end of 17 Apr 2012
Event Location
Vancouver, Canada
Abstract

This paper reports on research being conducted as part of a four year funded project in Australia that involves the use of agent-based computer models to help students learn about climate change. The intervention in this study involved different sequences of structure provided as part of pedagogical guidance for problem solving and learning activities with agent based models. Thirty-three grade nine students in an all girls' school in Australia participated in the study that used two NetLogo models of greenhouse gases and the carbon cycle. There were significant findings of learning gains from pretest to post test by all students, and qualitative observations and teacher interviews suggest that the students were highly engaged and enjoyed learning with the agent-based computer models. Implications and future research plans are discussed.

Keywordsmodel based learning; model-based netlogo; agent-based; climate change; carbon cycle; greenhouse gas
ANZSRC Field of Research 2020370201. Climate change processes
390405. Educational technology and computing
390409. Learning sciences
Public Notes

This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.

Byline AffiliationsUniversity of Sydney
Department of Education, New South Wales
Institution of OriginUniversity of Southern Queensland
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