Kelly, Nick and Jacobson, Michael J. and Markauskaite, Lina and Southavilay, Vilaythong (2012) Agent-based computer models for learning about climate change and process analysis techniques. In: 10th International Conference of the Learning Sciences (ICLS 2012): The Future of Learning, 2-6 Jul 2012, Sydney, Australia.
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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.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | © 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. |
| Faculty/School / Institute/Centre: | Historic - Australian Digital Futures Institute (8 Dec 2010 - 6 Jul 2016) |
| Faculty/School / Institute/Centre: | Historic - Australian Digital Futures Institute (8 Dec 2010 - 6 Jul 2016) |
| Date Deposited: | 22 Oct 2013 23:18 |
| Last Modified: | 01 Feb 2017 04:11 |
| Uncontrolled Keywords: | computational model; design experiments; design-based research; learning activity; problem based learning; process analysis techniques; science teachers; scientific knowledge |
| Fields of Research (2008): | 13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing 13 Education > 1302 Curriculum and Pedagogy > 130212 Science, Technology and Engineering Curriculum and Pedagogy 13 Education > 1303 Specialist Studies in Education > 130309 Learning Sciences |
| Fields of Research (2020): | 39 EDUCATION > 3904 Specialist studies in education > 390405 Educational technology and computing 39 EDUCATION > 3901 Curriculum and pedagogy > 390113 Science, technology and engineering curriculum and pedagogy 39 EDUCATION > 3904 Specialist studies in education > 390409 Learning sciences |
| Socio-Economic Objectives (2008): | C Society > 93 Education and Training > 9302 Teaching and Instruction > 930203 Teaching and Instruction Technologies |
| URI: | http://eprints.usq.edu.au/id/eprint/24190 |
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