Agent-based computer models for learning about climate change and process analysis techniques

Paper


Kelly, Nick, Jacobson, Michael J., Markauskaite, Lina and Southavilay, Vilaythong. 2012. "Agent-based computer models for learning about climate change and process analysis techniques." van Aalst, Jan, Thompson, Kate, Jacobson, Michael J. and Reimann, Peter (ed.) 10th International Conference of the Learning Sciences (ICLS 2012): The Future of Learning. Sydney, Australia 02 - 06 Jul 2012 Sydney, Australia.
Paper/Presentation Title

Agent-based computer models for learning about climate change and process analysis techniques

Presentation TypePaper
AuthorsKelly, Nick (Author), Jacobson, Michael J. (Author), Markauskaite, Lina (Author) and Southavilay, Vilaythong (Author)
Editorsvan Aalst, Jan, Thompson, Kate, Jacobson, Michael J. and Reimann, Peter
Journal or Proceedings TitleProceedings of the 10th International Conference of the Learning Sciences (ICLS 2012)
Journal Citation1, pp. 25-32
Number of Pages8
Year2012
Place of PublicationSydney, Australia
ISBN9780578106410
Web Address (URL) of Paperhttp://www.isls.org/icls2012https://www.lulu.com/shop/receipt.ep
Conference/Event10th International Conference of the Learning Sciences (ICLS 2012): The Future of Learning
Event Details
10th International Conference of the Learning Sciences (ICLS 2012): The Future of Learning
Parent
International Conference of the Learning Sciences
Event Date
02 to end of 06 Jul 2012
Event Location
Sydney, Australia
Abstract

This paper describes a design-based research project that investigates the learning of scientific knowledge about climate change through computational models. The design experiment used two NetLogo models and problem-based learning materials developed in partnership with a high school science teacher. In the study, three classes of year nine science students were divided into two groups based upon different levels of structure that was provided during learning activities with the models. The results indicate that there was significant learning of concepts about greenhouse gases and the carbon cycle through engagement with the models. We also describe the process analysis techniques being developed to analyze the log files of the interactions the students had with the computer models.

Keywordscomputational model; design experiments; design-based research; learning activity; problem based learning; process analysis techniques; science teachers; scientific knowledge
ANZSRC Field of Research 2020390405. Educational technology and computing
390113. Science, technology and engineering curriculum and pedagogy
390409. Learning sciences
Public Notes

© 2012, INTERNATIONAL SOCIETY OF THE LEARNING SCIENCES. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the International Society of the Learning Sciences.

Byline AffiliationsUniversity of Sydney
Institution of OriginUniversity of Southern Queensland
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