Exploring the potential of using ChatGPT in physics education

Yicong LIANG, Di ZOU, Haoran XIE, Fu Lee WANG

Research output: Journal PublicationsJournal Article (refereed)peer-review

4 Citations (Scopus)


The pretrained large language models have been widely tested for their performance on some challenging tasks including arithmetic, commonsense, and symbolic reasoning. Recently how to combine LLMs with prompting techniques has attracted lots of researchers to propose their models to automatically solve math word problems. However, most research works focus on solving math problems at the elementary school level and few works aim to solve problems in science disciplines, e.g., Physics. In this exploratory study, we discussed the potential pedagogical benefits of using ChatGPT in physics and demonstrated how to prompt ChatGPT in solving physics problems. The results suggest that ChatGPT is able to solve some physics calculation problems, explain solutions, and generate new exercises at a human level.
Original languageEnglish
Article number52
JournalSmart Learning Environments
Issue number1
Publication statusPublished - 20 Oct 2023

Bibliographical note

The research has been supported by the Direct Grant (DR23B2) and the Faculty Research Grants (DB23A3 and DB23B2) of Lingnan University, Hong Kong.

Publisher Copyright:
© 2023, Springer Nature Singapore Pte Ltd., part of Springer Nature.


  • AI in education
  • ChatGPT
  • Physics calculation problem
  • Physics learning


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