인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study proposes a method for evaluating the difficulty level of Chinese educational texts based on key linguistic factors: vocabulary difficulty, grammatical complexity, idiomatic expressions, and sentence length. In second language acquisition, learners are required to develop multiple language skills simultaneously, making the selection of level-appropriate reading materials essential for effective learning.
Using the Chinese Proficiency Grading Standards for International Chinese Language Education (GF0025-2021) as the benchmark, this study conducted a quantitative analysis of the four linguistic features and examined their correlation with text difficulty levels. A multiple regression analysis revealed that vocabulary difficulty, grammar difficulty, and idiomatic expressions significantly affect text difficulty, while sentence length does not have a statistically meaningful impact. Notably, idiomatic expressions were identified as the most influential factor.
A comprehensive readability formula was derived through discriminant analysis and applied to ungraded HSK texts. The results were then compared with expert evaluations to validate the formula’s practical applicability. This study offers an integrated approach to text difficulty assessment and highlights the need for future research to incorporate learners’ perceived difficulty to improve precision.
Using the Chinese Proficiency Grading Standards for International Chinese Language Education (GF0025-2021) as the benchmark, this study conducted a quantitative analysis of the four linguistic features and examined their correlation with text difficulty levels. A multiple regression analysis revealed that vocabulary difficulty, grammar difficulty, and idiomatic expressions significantly affect text difficulty, while sentence length does not have a statistically meaningful impact. Notably, idiomatic expressions were identified as the most influential factor.
A comprehensive readability formula was derived through discriminant analysis and applied to ungraded HSK texts. The results were then compared with expert evaluations to validate the formula’s practical applicability. This study offers an integrated approach to text difficulty assessment and highlights the need for future research to incorporate learners’ perceived difficulty to improve precision.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-25-02-093499792
