Year: 2023
Type: article
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.
Source: Smart Learning Environments
Authors: Yicong Liang, Di Zou, Haoran Xie, Fu Lee Wang
Institutions: Hong Kong Metropolitan University, Lingnan University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid:
Funder: Lingnan University
Awards: G3529849460, G8735542678
OpenAlex ID: W4387812493
