Abstract

Student success in solving physics problems is related to the representational format of the problem. We study student representational competence in two large-lecture algebra-based introductory university physics courses with approximately 600 participants total. We examined student performance on homework problems given in four different representational formats (mathematical, pictorial, graphical, verbal), with problem statements as close to isomorphic as possible. In addition to the homeworks, we examine students' assessment of representations by providing follow-up quizzes in which they chose between various problem formats. As a control, some parts of the classes were assigned a random-format follow-up quiz. We find that there are statistically significant performance differences between different representations of nearly isomorphic statements of quiz and homework problems. We also find that allowing students to choose which representational format they use improves student performance under some circumstances and degrades it in others. Notably, one of the two courses studied shows much greater performance differences between the groups that received a choice of format and those that did not, and we consider possible causes. Overall, we observe that student representational competence is tied to both micro- and macrolevel features of the task and environment.

Highlights

  • Student competence with different representational formats is a popular topic in modern science and mathematics education

  • By “representational formats,” we refer to the many ways in which a particular concept or problem can be expressed

  • Studies involving representational formats have taken many approaches to this division of representations, including comparisons of mathematical problems couched in words to those stated primarily in equations,[1] comparisons of learning environments that are virtual to those that are physical,[2] and comparisons between verbal, mathematical, graphical, and diagrammatic formats.[3]

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Summary

Introduction

Student competence with different representational formats is a popular topic in modern science and mathematics education. Studies involving representational formats have taken many approaches to this division of representations, including comparisons of mathematical problems couched in words to those stated primarily in equations,[1] comparisons of learning environments that are virtual to those that are physical,[2] and comparisons between verbal, mathematical, graphical, and diagrammatic formats.[3] Scientists can interpret all of these formats effectively and are able to integrate them, translate among them, and assess their usefulness in different situations. In physics education researchPER, there have been several studies in which students are explicitly taught to handle multiple representations of the same topic.[4,5,6]

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