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Eleanor C. Sayre and Andrew F. Heckler
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A common format for assessment of learning is pretesting and post-testing. In this study, we collect student test data several times per week throughout a course, allowing for the measurement of the changes in student knowledge with a time resolution on the order of a few days. To avoid the possibility of test-retest effects, separate and quasirandom subpopulations of students are tested on a variety of tasks. We report on data taken in a calculus-based introductory E&M class populated primarily by engineering majors. Unsurprisingly for a traditional introductory course, there is little change in many conceptual questions. However, the data suggest that some student performance peaks and decays rapidly during a quarter, a pattern consistent with memory research yet unmeasurable by pretesting and post-testing. In addition, it appears that some course topics can interfere with prior knowledge, decreasing performance on questions related to earlier topics in the course.
Phys. Rev. ST Phys. Educ. Res. 5, 013101 (2009)
Cited 0 times
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Eleanor C. Sayre and Michael C. Wittmann
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We investigate the interplay between mathematics and physics resources in intermediate mechanics students. In the mechanics course, the selection and application of coordinate systems is a consistent thread. At the University of Maine, students often start the course with a strong preference to use Cartesian coordinates, in accordance with their prior physics and mathematics classes. In small-group interviews and in homework help sessions, we ask students to define a coordinate system and set up the equations of motion for a simple pendulum for which polar coordinates are more appropriate. We analyze video data from several encounters using a combination of Process/Object theory and Resource Theory. We find that students sometimes persist in using an inappropriate Cartesian system. Furthermore, students often derive (rather than recall) the details of the polar coordinate system, indicating that their knowledge is far from solid. To describe our work more precisely, we define a scale of plasticity and several heuristics for defining resources and their plasticity.
Phys. Rev. ST Phys. Educ. Res. 4, 020105 (2008)
Cited 0 times
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