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 Type | Paper |
| Authors | Kelly, Nick (Author), Jacobson, Michael J. (Author), Markauskaite, Lina (Author) and Southavilay, Vilaythong (Author) |
| Editors | van Aalst, Jan, Thompson, Kate, Jacobson, Michael J. and Reimann, Peter |
| Journal or Proceedings Title | Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) |
| Journal Citation | 1, pp. 25-32 |
| Number of Pages | 8 |
| Year | 2012 |
| Place of Publication | Sydney, Australia |
| ISBN | 9780578106410 |
| Web Address (URL) of Paper | http://www.isls.org/icls2012https://www.lulu.com/shop/receipt.ep |
| Conference/Event | 10th 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. |
| Keywords | computational model; design experiments; design-based research; learning activity; problem based learning; process analysis techniques; science teachers; scientific knowledge |
| ANZSRC Field of Research 2020 | 390405. 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 Affiliations | University of Sydney |
| Institution of Origin | University of Southern Queensland |
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