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논문 기본 정보

자료유형
학술저널
저자정보
엄혜랑 (위례한빛고등학교)
저널정보
한국영어평가학회 영어평가 영어평가 제19권 제1호
발행연도
2024.6
수록면
11 - 33 (23page)
DOI
https://doi.org/10.37244/ela.2024.19.1.11

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초록· 키워드

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This study aims to assess how well ChatGPT-3.5 performs on the English reading comprehension section of the College Scholastic Ability Test (CSAT, henceforth), with a focus on its viability as a tool for language learning and evaluation. To do this, tests were conducted where ChatGPT answered questions from the 2022 to 2024 CSAT English exams, and its accuracy was recorded. The research also looks into how ChatGPT’s performance changes depending on the type of question and the version of the AI. The results showed that ChatGPT-3.5 correctly answered about 74.1% of the questions, whereas GPT- 4 had nearly flawless accuracy. The research outlines the capabilities and shortcomings of the large language model (LLM) and discusses areas that require enhancement for educational use. Furthermore, the research examined if these trends hold true for other international English language tests, specifically using reading questions from the TOEFL iBT. Similar performance trends were observed with the TOEFL iBT. The findings indicate that the LLM’s abilities in reasoning and explanation could benefit language education. However, it also emphasizes the necessity for ChatGPT to acquire more specific knowledge and improved reasoning abilities to understand context better.

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