[논문 리뷰] Evaluation of ChatGPT and Microsoft Bing AI Chat Performances on Physics Exams of Vietnamese National High School Graduation Examination

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.