  The promise and difficulties of language model-based approaches for physics
teaching were assessed in this study. This study evaluates how well ChatGPT and
BingChat, two state-of-the-art (SOTA) large language models (LLMs), perform
when answering high school physics questions on Vietnamese exams from 2019 to
2023. When we compared the results of the LLMs with the scores of Vietnamese
students, we discovered that ChatGPT and BingChat both perform worse than
Vietnamese students, proving that LLMs are not yet capable of fully replacing
human intellect in the field of physics teaching. The outcomes also showed that
neither LLM is capable of responding to questions at the high application
levels. In terms of accuracy, BingChat typically surpassed ChatGPT, although
ChatGPT showed more stability. Our research suggests that LLMs can help
students and teachers during learning and teaching activities, particularly by
offering immediate feedback and individualized learning experiences.
