探索ChatGPT在物理教学中的应用潜力

IF 6.7 Q1 EDUCATION & EDUCATIONAL RESEARCH
Yicong Liang, Di Zou, Haoran Xie, Fu Lee Wang
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引用次数: 0

摘要

预训练的大型语言模型在算术、常识和符号推理等具有挑战性的任务上的表现得到了广泛的测试。近年来,如何将法学硕士与提示技术相结合吸引了许多研究者提出他们的模型来自动解决数学应用题。然而,大多数研究工作集中在解决小学水平的数学问题,很少有研究工作针对解决科学学科的问题,例如物理。在这项探索性研究中,我们讨论了在物理中使用ChatGPT的潜在教学效益,并演示了如何促使ChatGPT解决物理问题。结果表明,ChatGPT能够解决一些物理计算问题,解释解决方案,并在人类水平上生成新的练习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the potential of using ChatGPT in physics education
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.
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来源期刊
Smart Learning Environments
Smart Learning Environments Social Sciences-Education
CiteScore
13.20
自引率
2.10%
发文量
29
审稿时长
19 weeks
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