Using process analysis techniques to understand students' learning strategies with computer models
Paper
Paper/Presentation Title | Using process analysis techniques to understand students' learning strategies with computer models |
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Presentation Type | Paper |
Authors | Markauskaite, Lina (Author), Jacobson, Michael J. (Author), Southavilay, Vilaythong (Author) and Kelly, Nick (Author) |
Editors | Tyson, Cynthia A. |
Journal or Proceedings Title | Proceedings of the 2012 American Educational Research Association Annual Meeting (AERA 2012) |
Year | 2012 |
Place of Publication | Washington, DC. United States |
Conference/Event | 2012 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 work is a part of a larger project that investigates how high school students learn scientific knowledge of climate change with computer models. The paper presents our progress developing a methodology for capturing learning process data and preliminary results from the analysis of learning strategies adopted by high achieving and low achieving students. Our approach is based on the analysis of process data using the Hidden Markov Model (HMM) technique. Drawing on the initial results, we illustrate how the HMM can help to depict some important features of students' learning strategies. Overall, our findings indicate that successful learners adopt deeper and more systematic model exploration strategies than less successful learners. |
Keywords | process mining; hidden Markov model; hmm; model-based learning |
ANZSRC Field of Research 2020 | 370201. Climate change processes |
401001. Engineering design | |
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 Affiliations | University of Sydney |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2802/using-process-analysis-techniques-to-understand-students-learning-strategies-with-computer-models
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