Exploring the Role of AI in Learning and Teaching Thermodynamics: A Case Study with ChatGPT

In this paper, we briefly describe and assess some specific cases where ChatGPT’s direct application in classical thermodynamics is evident, addressing scenarios of varied complexity with inherent educational interest. These scenarios specifically suggest how the virtual assistant might engage and aid students. Yet, there is a multitude of reported difficulties and critical concerns when addressing tasks that should not be overly complex. It currently seems that ChatGPT, along with similar tools, has not yet solidified its capability to correlate theoretical concepts with practical exercises in thermodynamics, and might, at least in its present form, act more as an educational impediment rather than a facilitator.

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Publication Details

Journal
The Physics Educator
Published
2024-09-01
DOI
https://doi.org/10.1142/s2661339524500136
Citations
2
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.23
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article

Exploring the Role of AI in Learning and Teaching Thermodynamics: A Case Study with ChatGPT

Stefano Oss
2 citations
The Physics Educator
Machine Learning in Materials Science
0.23
article

Exploring the Role of AI in Learning and Teaching Thermodynamics: A Case Study with ChatGPT

Stefano Oss
article en
2 citations

Abstract

In this paper, we briefly describe and assess some specific cases where ChatGPT’s direct application in classical thermodynamics is evident, addressing scenarios of varied complexity with inherent educational interest. These scenarios specifically suggest how the virtual assistant might engage and aid students. Yet, there is a multitude of reported difficulties and critical concerns when addressing tasks that should not be overly complex. It currently seems that ChatGPT, along with similar tools, has not yet solidified its capability to correlate theoretical concepts with practical exercises in thermodynamics, and might, at least in its present form, act more as an educational impediment rather than a facilitator.

The Physics EducatorVol. 06(03)
University of Trento (IT)
Openalex Percentile: Top 51%
Machine Learning in Materials Science
0.23
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