Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics

We use clustering, an analysis method not presently common to the physics education research community, to group and characterize student responses to written questions about two-dimensional kinematics. Previously, clustering has been used to analyze multiple-choice data; we analyze free-response da...

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Autores principales:	R. Padraic Springuel, Michael C. Wittmann, John R. Thompson
Formato:	article
Lenguaje:	EN
Publicado:	American Physical Society 2007
Materias:	Special aspects of education LC8-6691 Physics QC1-999
Acceso en línea:	https://doaj.org/article/018976498f634d909ed3b5ad61c778db
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spelling	oai:doaj.org-article:018976498f634d909ed3b5ad61c778db2021-12-02T12:23:00ZApplying clustering to statistical analysis of student reasoning about two-dimensional kinematics10.1103/PhysRevSTPER.3.0201071554-9178https://doaj.org/article/018976498f634d909ed3b5ad61c778db2007-12-01T00:00:00Zhttp://doi.org/10.1103/PhysRevSTPER.3.020107http://doi.org/10.1103/PhysRevSTPER.3.020107https://doaj.org/toc/1554-9178We use clustering, an analysis method not presently common to the physics education research community, to group and characterize student responses to written questions about two-dimensional kinematics. Previously, clustering has been used to analyze multiple-choice data; we analyze free-response data that includes both sketches of vectors and written elements. The primary goal of this paper is to describe the methodology itself; we include a brief overview of relevant results.R. Padraic SpringuelMichael C. WittmannJohn R. ThompsonAmerican Physical SocietyarticleSpecial aspects of educationLC8-6691PhysicsQC1-999ENPhysical Review Special Topics. Physics Education Research, Vol 3, Iss 2, p 020107 (2007)
institution	DOAJ
collection	DOAJ
language	EN
topic	Special aspects of education LC8-6691 Physics QC1-999
spellingShingle	Special aspects of education LC8-6691 Physics QC1-999 R. Padraic Springuel Michael C. Wittmann John R. Thompson Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics
description	We use clustering, an analysis method not presently common to the physics education research community, to group and characterize student responses to written questions about two-dimensional kinematics. Previously, clustering has been used to analyze multiple-choice data; we analyze free-response data that includes both sketches of vectors and written elements. The primary goal of this paper is to describe the methodology itself; we include a brief overview of relevant results.
format	article
author	R. Padraic Springuel Michael C. Wittmann John R. Thompson
author_facet	R. Padraic Springuel Michael C. Wittmann John R. Thompson
author_sort	R. Padraic Springuel
title	Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics
title_short	Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics
title_full	Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics
title_fullStr	Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics
title_full_unstemmed	Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics
title_sort	applying clustering to statistical analysis of student reasoning about two-dimensional kinematics
publisher	American Physical Society
publishDate	2007
url	https://doaj.org/article/018976498f634d909ed3b5ad61c778db
work_keys_str_mv	AT rpadraicspringuel applyingclusteringtostatisticalanalysisofstudentreasoningabouttwodimensionalkinematics AT michaelcwittmann applyingclusteringtostatisticalanalysisofstudentreasoningabouttwodimensionalkinematics AT johnrthompson applyingclusteringtostatisticalanalysisofstudentreasoningabouttwodimensionalkinematics
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Applying clustering to statistical analysis of student reasoning about two-dimensional kinematics

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