Literaturnachweis - Detailanzeige
| Autor/inn/en | Liang, Yicong; Zou, Di; Xie, Haoran; Wang, Fu Lee |
|---|---|
| Titel | Exploring the Potential of Using ChatGPT in Physics Education |
| Quelle | In: Smart Learning Environments, 10 (2023), Artikel 52 (19 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Wang, Fu Lee) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| DOI | 10.1186/s40561-023-00273-7 |
| Schlagwörter | Science Instruction; Physics; Artificial Intelligence; Computer Mediated Communication; Technology Uses in Education; Problem Solving; Computation |
| 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. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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