Experts' understanding of partial derivatives using the partial derivative machine Public Deposited

http://ir.library.oregonstate.edu/concern/articles/3b591b721

This is the publisher’s final pdf. The published article is copyrighted by the American Physical Society and can be found at:  http://journals.aps.org/prstper/abstract/10.1103/PhysRevSTPER.11.020126

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  • [This paper is part of the Focused Collection on Upper Division Physics Courses.] Partial derivatives are used in a variety of different ways within physics. Thermodynamics, in particular, uses partial derivatives in ways that students often find especially confusing. We are at the beginning of a study of the teaching of partial derivatives, with a goal of better aligning the teaching of multivariable calculus with the needs of students in STEM disciplines. In this paper, we report on an initial study of expert understanding of partial derivatives across three disciplines: physics, engineering, and mathematics. We report on the central research question of how disciplinary experts understand partial derivatives, and how their concept images of partial derivatives differ, with a focus on experimentally measured quantities. Using the partial derivative machine (PDM), we probed expert understanding of partial derivatives in an experimental context without a known functional form. In particular, we investigated which representations were cued by the experts' interactions with the PDM. Whereas the physicists and engineers were quick to use measurements to find a numeric approximation for a derivative, the mathematicians repeatedly returned to speculation as to the functional form; although they were comfortable drawing qualitative conclusions about the system from measurements, they were reluctant to approximate the derivative through measurement. On a theoretical front, we found ways in which existing frameworks for the concept of derivative could be expanded to include numerical approximation.
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  • Roundy, D., Dorko, A., Dray, T., Manogue, C. A., & Weber, E. (2015). Experts' understanding of partial derivatives using the Partial Derivative Machine. Physical Review Special Topics: Physics Education Research, 11(2), 020126. doi:10.1103/PhysRevSTPER.11.020126
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2015-10-19T16:52:23Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) RoundyDavidPhysicsExpertsUnderstandingPartial.pdf: 639902 bytes, checksum: 636376fc53fafdac9f576ba605a3ef49 (MD5)
  • description.provenance : Submitted by Patricia Black (patricia.black@oregonstate.edu) on 2015-10-19T16:52:09Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) RoundyDavidPhysicsExpertsUnderstandingPartial.pdf: 639902 bytes, checksum: 636376fc53fafdac9f576ba605a3ef49 (MD5)
  • description.provenance : Made available in DSpace on 2015-10-19T16:52:23Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) RoundyDavidPhysicsExpertsUnderstandingPartial.pdf: 639902 bytes, checksum: 636376fc53fafdac9f576ba605a3ef49 (MD5) Previous issue date: 2015-09-23

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