고등학교 영어 교과서와 ChatGPT 생성 텍스트의 어휘 및 구문 특성 비교: 코퍼스 기반 분석

• 영문명: A Corpus-Based Comparison of Lexical and Syntactic Features in High School English Textbooks and ChatGPT-Generated Texts
• 발행기관: 한국영어어문교육학회
• 저자명: 이영희(Younghee Cheri Lee) 강준수(Junsoo Kang)
• 간행물 정보: 『영어어문교육』제31권 제2호, 155~172쪽, 전체 18쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2025.06.30

국문 초록

This study empirically examines the strengths and limitations of generative AI texts as supplementary educational resources by comparing the lexical and syntactic features of high school English textbooks with those of texts generated by ChatGPT. A parallel corpus comprising 47 passages from ten government-authorized textbooks and their AI-generated counterparts was compiled for analysis. Four linguistic metrics were analyzed: number of word types, standardized type-token ratio (STTR), mean word length (MWL), and mean sentence length (MSL). WordSmith Tools 7.0 was used for corpus analysis, and statistical significance was assessed through independent t-tests. The results showed that while textbook passages contained a greater number of word types, ChatGPT texts demonstrated higher lexical diversity and longer mean word length. No significant difference was observed in sentence length. These findings suggest that AI-generated texts can offer enriched lexical input while maintaining structural clarity, thus serving as effective supplementary materials in classroom instruction. The study offers both theoretical insights and practical implications for integrating generative AI into secondary English education, especially for enhancing vocabulary exposure and expanding learner-centered reading resources.

목차

Ⅰ. 서론

Ⅱ. 이론적 배경

Ⅲ. 연구방법

Ⅳ. 연구결과 및 논의

Ⅴ. 결론 및 제언

참고문헌

키워드

고등학교 영어 교과서 ChatGPT 생성형 인공지능 어휘 다양성 코퍼스 high school English textbook ChatGPT generative AI lexical diversity corpus