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AI Reasoning Models for Problem Solving in Physics
written by Amir Bralin and N. Sanjay Rebello
Reasoning models are the new generation of Large Language Models (LLMs) capable of complex problem solving. Their reliability in solving introductory physics problems was tested by evaluating a sample of n=5 solutions generated by one such model---OpenAI's o3-mini---per each problem from 20 chapters of a standard undergraduate textbook. In total, N=408 problems were given to the model and N X n = 2,040 generated solutions examined. The model successfully solved 94% of the problems posed, excelling at the beginning topics in mechanics but struggling with the later ones such as waves and thermodynamics.
Physics Education Research Conference 2025
Part of the PER Conference series
Washington, DC: August 6-7, 2025
Pages 99-104
Subjects Levels Resource Types
Education - Applied Research
- Technology
= Computers
Education - Basic Research
- Assessment
= Methods
- Problem Solving
- Lower Undergraduate
- Reference Material
= Research study
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Format:
application/pdf
Mirror:
https://doi.org/10.1119/perc.2025…
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.2025.pr.Bralin
NSF Number:
2300645
Keyword:
PERC 2025
Record Creator:
Metadata instance created October 20, 2025 by Lyle Barbato
Record Updated:
October 27, 2025 by Lyle Barbato
Last Update
when Cataloged:
October 28, 2025
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Record Link
AIP Format
A. Bralin and N. Rebello, , presented at the Physics Education Research Conference 2025, Washington, DC, 2025, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17124&DocID=6052).
AJP/PRST-PER
A. Bralin and N. Rebello, AI Reasoning Models for Problem Solving in Physics, presented at the Physics Education Research Conference 2025, Washington, DC, 2025, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17124&DocID=6052>.
APA Format
Bralin, A., & Rebello, N. (2025, August 6-7). AI Reasoning Models for Problem Solving in Physics. Paper presented at Physics Education Research Conference 2025, Washington, DC. Retrieved February 11, 2026, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17124&DocID=6052
Chicago Format
Bralin, Amir, and N. Sanjay Rebello. "AI Reasoning Models for Problem Solving in Physics." Paper presented at the Physics Education Research Conference 2025, Washington, DC, August 6-7, 2025. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17124&DocID=6052 (accessed 11 February 2026).
MLA Format
Bralin, Amir, and N. Sanjay Rebello. "AI Reasoning Models for Problem Solving in Physics." Physics Education Research Conference 2025. Washington, DC: 2025. 99-104 of PER Conference. 11 Feb. 2026 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17124&DocID=6052>.
BibTeX Export Format
@inproceedings{ Author = "Amir Bralin and N. Sanjay Rebello", Title = {AI Reasoning Models for Problem Solving in Physics}, BookTitle = {Physics Education Research Conference 2025}, Pages = {99-104}, Address = {Washington, DC}, Series = {PER Conference}, Month = {August 6-7}, Year = {2025} }
Refer Export Format

%A Amir Bralin %A N. Sanjay Rebello %T AI Reasoning Models for Problem Solving in Physics %S PER Conference %D August 6-7 2025 %P 99-104 %C Washington, DC %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17124&DocID=6052 %O Physics Education Research Conference 2025 %O August 6-7 %O application/pdf

EndNote Export Format

%0 Conference Proceedings %A Bralin, Amir %A Rebello, N. Sanjay %D August 6-7 2025 %T AI Reasoning Models for Problem Solving in Physics %B Physics Education Research Conference 2025 %C Washington, DC %P 99-104 %S PER Conference %8 August 6-7 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=17124&DocID=6052


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