Think! Evidence

Model analysis: Representing and assessing the dynamics of student learning

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dc.creator Edward F. Redish
dc.creator Lei Bao
dc.date 2006-02-01T00:00:00Z
dc.date.accessioned 2015-07-20T22:09:53Z
dc.date.available 2015-07-20T22:09:53Z
dc.identifier 1554-9178
dc.identifier https://doaj.org/article/e80d18d916c147048bbec2b6f12c8e27
dc.identifier.uri http://evidence.thinkportal.org/handle/123456789/13181
dc.description Decades 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.
dc.language English
dc.publisher American Physical Society
dc.relation http://link.aps.org/abstract/PRSTPER/v2/e010103
dc.relation https://doaj.org/toc/1554-9178
dc.source Physical Review Special Topics. Physics Education Research, Vol 2, Iss 1 (2006)
dc.subject Student learning
dc.subject Model analysis
dc.subject Research-based multiple choice questions
dc.subject Education (General)
dc.subject L7-991
dc.subject Education
dc.subject L
dc.subject DOAJ:Education
dc.subject DOAJ:Social Sciences
dc.subject Education (General)
dc.subject L7-991
dc.subject Education
dc.subject L
dc.subject DOAJ:Education
dc.subject DOAJ:Social Sciences
dc.subject Education (General)
dc.subject L7-991
dc.subject Education
dc.subject L
dc.subject Education (General)
dc.subject L7-991
dc.subject Education
dc.subject L
dc.subject Education (General)
dc.subject L7-991
dc.subject Education
dc.subject L
dc.title Model analysis: Representing and assessing the dynamics of student learning
dc.type article


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