Type:

Other

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.

Subjects:

  • Mathematics > General
  • Education > General

Education Levels:

  • Grade 1
  • Grade 6
  • Grade 8
  • Grade 9

Keywords:

Motion in Two Dimensions,NSDL,Education Foundations,Undergraduate (Lower Division),Research Design & Methodology,statistical analysis,Mathematics,Physics Education Research,General Physics,Classical Mechanics,Graduate/Professional,acceleration,centripetal,Data,Higher Education,oai:nsdl.org:2200/20081005192055299T,Physics,clustering methodology,NSDL_SetSpec_439869,Education,Technology,tangential

Language:

English

Access Privileges:

Public - Available to anyone

License Deed:

Creative Commons Attribution Non-Commercial Share Alike

Collections:

None
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