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Abstract Title: Applying text analysis to compare student explanations in PER
Abstract: Student explanations to written questions form the basis for many qualitative and quantitative studies into student understanding of physics. Explanations given by students to carefully constructed questions are categorized by one or more investigators, and then interpretations are given to try to identify common patterns in student thinking and lines of reasoning. There are now computer programs that can quickly parse many paragraphs of text and identify common words, terms, and phrases. We are exploring their use in analyzing student explanations systematically. In this paper, we describe the use of a computational text analysis program that corroborates results from prior qualitative methods of analysis in the context of two-dimensional motion and rolling motion.
Abstract Type: Contributed Poster Presentation
Session Time: Poster Session II
Poster Number: B57

Author/Organizer Information

Primary Contact: Sheh Lit Chang
University of Washington
and Co-Presenter(s)
Peter Shaffer, University of Washington

Contributed Poster

Contributed Poster: Download the Contributed Poster