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AI Reasoning Models for Problem Solving in Physics
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
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<a href="https://www.per-central.org/items/detail.cfm?ID=17124">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.</a>
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).
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>.
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
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).
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>.
@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}
}
%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 %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 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. AI Reasoning Models for Problem Solving in Physics:Know of another related resource? Login to relate this resource to it. |
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