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dc.creatorBao, Lei
dc.creatorRedish, Edward F.
dc.date.accessioned2011-05-24T18:20:59Z
dc.date.available2011-05-24T18:20:59Z
dc.date.issued2006-02-02
dc.identifier.citationLei Bao and Edward F. Redish, "Model analysis: Representing and assessing the dynamics of student learning," Physical Review Special Topics - Physics Education Research 2, no. 1 (2006), doi:10.1103/PhysRevSTPER.2.010103en_US
dc.identifier.issn1554-9178
dc.identifier.urihttp://hdl.handle.net/1811/48819
dc.description.abstractDecades of education research have shown that students can simultaneously possess alternate knowledge frameworks and that the development and use of such knowledge are context dependent. As a result of extensive qualitative research, standardized multiple-choice tests such as Force Concept Inventory and Force-Motion Concept Evaluation tests provide instructors tools to probe their students’ conceptual knowledge of physics. However, many existing quantitative analysis methods often focus on a binary question of whether a student answers a question correctly or not. This greatly limits the capacity of using the standardized multiple-choice tests in assessing students’ alternative knowledge. In addition, the context dependence issue, which suggests that a student may apply the correct knowledge in some situations and revert to use alternative types of knowledge in others, is often treated as random noise in current analyses. In this paper, we present a model analysis, which applies qualitative research to establish a quantitative representation framework. With this method, students’ alternative knowledge and the probabilities for students to use such knowledge in a range of equivalent contexts can be quantitatively assessed. This provides a way to analyze research-based multiple choice questions, which can generate much richer information than what is available from score-based analysis.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Physical Societyen_US
dc.rights©2006 The American Physical Societyen_US
dc.rightsThis article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.en_US
dc.titleModel analysis: Representing and assessing the dynamics of student learningen_US
dc.typeArticleen_US
dc.identifier.doi10.1103/PhysRevSTPER.2.010103
dc.identifier.osuauthorbao.15
dc.rights.ccAttribution 3.0 Unporteden_US
dc.rights.ccurihttp://creativecommons.org/licenses/by/3.0/en_US


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