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ChatGPT reflects student misconceptions in physics
written by Sav Wheeler and Rachel E. Scherr
With many students turning to machine learning models such as ChatGPT for homework help, diagnosing the accuracy of the information these technologies purport across different fields is more important than ever. In this study, we find that ChatGPT's responses to standard physics questions are consistent with an accurate theoretical understanding, but are often incorrect when applied to a given system, reflecting many of the same misconceptions as students.
Physics Education Research Conference 2023
Part of the PER Conference series
Sacramento, CA: July 19-20, 2023
Pages 386-390
Subjects Levels Resource Types
Education - Applied Research
- Technology
Education - Basic Research
- Alternative Conceptions
- Assessment
= Methods
- Societal Issues
- Lower Undergraduate
- Reference Material
= Research study
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Format:
application/pdf
Mirror:
https://doi.org/10.1119/perc.2023…
Access Rights:
Free access
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This material is released under a Creative Commons Attribution 4.0 license. Further distribution of this work must maintain attribution to the published article's author(s), title, proceedings citation, and DOI.
Rights Holder:
American Association of Physics Teachers
DOI:
10.1119/perc.2023.pr.Wheeler
Keyword:
PERC 2023
Record Creator:
Metadata instance created September 20, 2023 by Lyle Barbato
Record Updated:
October 11, 2023 by Lyle Barbato
Last Update
when Cataloged:
October 15, 2023

2023 Notable Paper

Author: Lyle
Posted: May 15, 2024 at 2:15PM

This paper was one of seven 2023 PERC Proceedings papers selected as notable by PERLOC and the Notable Papers subcommittee.

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AIP Format
S. Wheeler and R. Scherr, , presented at the Physics Education Research Conference 2023, Sacramento, CA, 2023, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16614&DocID=5794).
AJP/PRST-PER
S. Wheeler and R. Scherr, ChatGPT reflects student misconceptions in physics, presented at the Physics Education Research Conference 2023, Sacramento, CA, 2023, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16614&DocID=5794>.
APA Format
Wheeler, S., & Scherr, R. (2023, July 19-20). ChatGPT reflects student misconceptions in physics. Paper presented at Physics Education Research Conference 2023, Sacramento, CA. Retrieved October 11, 2024, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16614&DocID=5794
Chicago Format
Wheeler, Sav, and Rachel Scherr. "ChatGPT reflects student misconceptions in physics." Paper presented at the Physics Education Research Conference 2023, Sacramento, CA, July 19-20, 2023. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16614&DocID=5794 (accessed 11 October 2024).
MLA Format
Wheeler, Sav, and Rachel Scherr. "ChatGPT reflects student misconceptions in physics." Physics Education Research Conference 2023. Sacramento, CA: 2023. 386-390 of PER Conference. 11 Oct. 2024 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16614&DocID=5794>.
BibTeX Export Format
@inproceedings{ Author = "Sav Wheeler and Rachel Scherr", Title = {ChatGPT reflects student misconceptions in physics}, BookTitle = {Physics Education Research Conference 2023}, Pages = {386-390}, Address = {Sacramento, CA}, Series = {PER Conference}, Month = {July 19-20}, Year = {2023} }
Refer Export Format

%A Sav Wheeler %A Rachel Scherr %T ChatGPT reflects student misconceptions in physics %S PER Conference %D July 19-20 2023 %P 386-390 %C Sacramento, CA %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16614&DocID=5794 %O Physics Education Research Conference 2023 %O July 19-20 %O application/pdf

EndNote Export Format

%0 Conference Proceedings %A Wheeler, Sav %A Scherr, Rachel %D July 19-20 2023 %T ChatGPT reflects student misconceptions in physics %B Physics Education Research Conference 2023 %C Sacramento, CA %P 386-390 %S PER Conference %8 July 19-20 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16614&DocID=5794


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