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Abstract
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 language | English |
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Article number | 52 |
Journal | Smart Learning Environments |
Volume | 10 |
Issue number | 1 |
DOIs | |
Publication status | Published - 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.
Keywords
- AI in education
- ChatGPT
- Physics calculation problem
- Physics learning
Fingerprint
Dive into the research topics of 'Exploring the potential of using ChatGPT in physics education'. Together they form a unique fingerprint.Projects
- 2 Finished
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Contrastive Sentence Representation Learning with Adaptive False Negative Cancellation
XIE, H. (PI)
1/07/23 → 30/06/24
Project: Grant Research
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Integrating Novel Dropout Mechanism into Label Extension for Emotion Classification
XIE, H. (PI)
1/01/23 → 31/12/23
Project: Grant Research