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Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning
written by Dean A. Zollman, Amogh Sirnoorkar, and James T. Laverty
Physics education research (PER) shares a rich tradition of designing learning environments that promote valued epistemic practices such as sensemaking and mechanistic reasoning. Recent technological advancements, particularly artificial intelligence has caught significant traction in the PER community due to its human-like, sophisticated responses to physics tasks. In this study, we contribute to the ongoing efforts by comparing AI (ChatGPT) and student responses to a physics task through the cognitive frameworks of sensemaking and mechanistic reasoning. Findings highlight that by virtue of its training data set, ChatGPT's response provide evidence of mechanistic reasoning and mimics the vocabulary of experts in its responses. On the other hand, half of students' responses evidenced sensemaking and reflected an effective amalgamation of diagram-based and mathematical reasoning, showcasing a comprehensive problem-solving approach. In other words, while AI responses reflected how physics is talked about, a part of students' responses reflected how physics is practiced during problem solving. We discuss the implications of this finding with an emphasis on epistemology of AI responses and designing next-generation assessments in physics.
Physics Education Research Conference 2023
Part of the PER Conference series
Sacramento, CA: July 19-20, 2023
Pages 415-420
Subjects Levels Resource Types
Education - Applied Research
- Instructional Material Design
= Problem/Question
- Technology
= Computers
Education - Basic Research
- Assessment
= Methods
- Problem Solving
= Processes
- Student Characteristics
= Skills
- 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
License:
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.Zollman
NSF Number:
2013339
Keyword:
PERC 2023
Record Creator:
Metadata instance created September 20, 2023 by Lyle Barbato
Record Updated:
September 27, 2023 by Lyle Barbato
Last Update
when Cataloged:
October 15, 2023
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Record Link
AIP Format
D. Zollman, A. Sirnoorkar, and J. Laverty, , presented at the Physics Education Research Conference 2023, Sacramento, CA, 2023, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16619&DocID=5799).
AJP/PRST-PER
D. Zollman, A. Sirnoorkar, and J. Laverty, Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning, presented at the Physics Education Research Conference 2023, Sacramento, CA, 2023, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16619&DocID=5799>.
APA Format
Zollman, D., Sirnoorkar, A., & Laverty, J. (2023, July 19-20). Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning. Paper presented at Physics Education Research Conference 2023, Sacramento, CA. Retrieved February 26, 2024, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16619&DocID=5799
Chicago Format
Zollman, D, A. Sirnoorkar, and J. Laverty. "Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning." Paper presented at the Physics Education Research Conference 2023, Sacramento, CA, July 19-20, 2023. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16619&DocID=5799 (accessed 26 February 2024).
MLA Format
Zollman, Dean, Amogh Sirnoorkar, and James Laverty. "Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning." Physics Education Research Conference 2023. Sacramento, CA: 2023. 415-420 of PER Conference. 26 Feb. 2024 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16619&DocID=5799>.
BibTeX Export Format
@inproceedings{ Author = "Dean Zollman and Amogh Sirnoorkar and James Laverty", Title = {Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning}, BookTitle = {Physics Education Research Conference 2023}, Pages = {415-420}, Address = {Sacramento, CA}, Series = {PER Conference}, Month = {July 19-20}, Year = {2023} }
Refer Export Format

%A Dean Zollman %A Amogh Sirnoorkar %A James Laverty %T Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning %S PER Conference %D July 19-20 2023 %P 415-420 %C Sacramento, CA %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16619&DocID=5799 %O Physics Education Research Conference 2023 %O July 19-20 %O application/pdf

EndNote Export Format

%0 Conference Proceedings %A Zollman, Dean %A Sirnoorkar, Amogh %A Laverty, James %D July 19-20 2023 %T Analyzing AI and student responses through the lens of sensemaking and mechanistic reasoning %B Physics Education Research Conference 2023 %C Sacramento, CA %P 415-420 %S PER Conference %8 July 19-20 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16619&DocID=5799


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