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Characterizing covariational reasoning in physics modeling
written by
Alexis Olsho, Charlotte Zimmerman, Andrew Boudreaux, Trevor I. Smith, Philip Eaton, and Suzanne White Brahmia
Covariational reasoning--considering how changes in one quantity affect another, related quantity--is a foundation of quantitative modeling in physics. Understanding quantitative models is a learning objective of introductory physics instruction at the college level. Prior work suggests that covariational reasoning in physics contexts differs from the reasoning about functions and graphs in purely mathematical contexts that students develop in math courses; this reasoning is effortful in physics even for mathematically well-prepared students. In order to improve physics students' covariational reasoning, we must first characterize covariational reasoning with physics quantities. To this end, we present a framework of covariational reasoning in physics contexts, to describe the ways that covariational reasoning is used in physics modeling. The framework can be used as a lens through which to analyze student reasoning, and can help inform instructional interventions. We describe an application of this framework in the development of a set of computer-based training assignments.
Physics Education Research Conference 2022
Part of the PER Conference series Grand Rapids, MI: July 13-14, 2022 Pages 335-340
2022 Notable Paper
Author: Lyle This paper was one of five 2022 PERC Proceedings papers selected as notable by PERLOC and the Notable Papers subcommittee.
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Record Link
<a href="https://www.per-central.org/items/detail.cfm?ID=16256">Olsho, A, C. Zimmerman, A. Boudreaux, T. Smith, P. Eaton, and S. White Brahmia. "Characterizing covariational reasoning in physics modeling." Paper presented at the Physics Education Research Conference 2022, Grand Rapids, MI, July 13-14, 2022.</a>
AIP Format
A. Olsho, C. Zimmerman, A. Boudreaux, T. Smith, P. Eaton, and S. White Brahmia, , presented at the Physics Education Research Conference 2022, Grand Rapids, MI, 2022, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16256&DocID=5625).
AJP/PRST-PER
A. Olsho, C. Zimmerman, A. Boudreaux, T. Smith, P. Eaton, and S. White Brahmia, Characterizing covariational reasoning in physics modeling, presented at the Physics Education Research Conference 2022, Grand Rapids, MI, 2022, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16256&DocID=5625>.
APA Format
Olsho, A., Zimmerman, C., Boudreaux, A., Smith, T., Eaton, P., & White Brahmia, S. (2022, July 13-14). Characterizing covariational reasoning in physics modeling. Paper presented at Physics Education Research Conference 2022, Grand Rapids, MI. Retrieved December 10, 2024, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16256&DocID=5625
Chicago Format
Olsho, A, C. Zimmerman, A. Boudreaux, T. Smith, P. Eaton, and S. White Brahmia. "Characterizing covariational reasoning in physics modeling." Paper presented at the Physics Education Research Conference 2022, Grand Rapids, MI, July 13-14, 2022. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16256&DocID=5625 (accessed 10 December 2024).
MLA Format
Olsho, Alexis, Charlotte Zimmerman, Andrew Boudreaux, Trevor I. Smith, Philip Eaton, and Suzanne White Brahmia. "Characterizing covariational reasoning in physics modeling." Physics Education Research Conference 2022. Grand Rapids, MI: 2022. 335-340 of PER Conference. 10 Dec. 2024 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16256&DocID=5625>.
BibTeX Export Format
@inproceedings{
Author = "Alexis Olsho and Charlotte Zimmerman and Andrew Boudreaux and Trevor I. Smith and Philip Eaton and Suzanne White Brahmia",
Title = {Characterizing covariational reasoning in physics modeling},
BookTitle = {Physics Education Research Conference 2022},
Pages = {335-340},
Address = {Grand Rapids, MI},
Series = {PER Conference},
Month = {July 13-14},
Year = {2022}
}
Refer Export Format
%A Alexis Olsho %A Charlotte Zimmerman %A Andrew Boudreaux %A Trevor I. Smith %A Philip Eaton %A Suzanne White Brahmia %T Characterizing covariational reasoning in physics modeling %S PER Conference %D July 13-14 2022 %P 335-340 %C Grand Rapids, MI %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16256&DocID=5625 %O Physics Education Research Conference 2022 %O July 13-14 %O application/pdf
EndNote Export Format
%0 Conference Proceedings %A Olsho, Alexis %A Zimmerman, Charlotte %A Boudreaux, Andrew %A Smith, Trevor I. %A Eaton, Philip %A White Brahmia, Suzanne %D July 13-14 2022 %T Characterizing covariational reasoning in physics modeling %B Physics Education Research Conference 2022 %C Grand Rapids, MI %P 335-340 %S PER Conference %8 July 13-14 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16256&DocID=5625 Disclaimer: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the Citation Source Information area for clarifications.
Citation Source Information
The AIP Style presented is based on information from the AIP Style Manual. The AJP/PRST-PER presented is based on the AIP Style with the addition of journal article titles and conference proceeding article titles. The APA Style presented is based on information from APA Style.org: Electronic References. The Chicago Style presented is based on information from Examples of Chicago-Style Documentation. The MLA Style presented is based on information from the MLA FAQ. Characterizing covariational reasoning in physics modeling:Know of another related resource? Login to relate this resource to it. |
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