다독 현장에서의 초등영어독서지수 측정 소프트웨어 개발 및 적용
Development and Application of Web-based Korean Elementary English Readability Index Software for Measuring Readability in Extensive Reading Classrooms
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초록
The purpose of this study is to develop web-based Korean Elementary English Readability Index (KEERI) software that measures students' own readability. Using this program, students are able to achieve their goals of extensive reading and choose proper texts for their reading ability. A revision of the Korean lexical text measurement formula developed by Kim and Lee (2010) was used to elicit a text measurement. For the students’ proficiency index of readability, reading ability assessment tasks were assessed using the readability formula which yielded individual readability measurements. In order to yield a text measurement, both the vocabulary and syntactic difficulties were evaluated. To analyze the difficulty of the vocabulary, the RANGE program developed by Paul Nation was used. Syntactic difficulty was measured for each text by the L2 Syntactic Complexity Analyzer developed by Lu (2010). To evaluate readability depending on the texts, questions were analyzed with Brown (2001)’s types of questions. Afterwards, the text measurement and a summary of the book’s content were calculated into the final automated elementary English readability index. The core engine based on KEERI was implemented in PHP and JAVASCRIPT. After the development of the web based KEERI program, a correlation analysis was conducted with the text measurement and the evaluated readability, and it was found that there was a high correlation between them. Through an ANOVA test, a graded benchmark of the text measurement was established.
Abstract
The purpose of this study is to develop web-based Korean Elementary English Readability Index (KEERI) software that measures students' own readability. Using this program, students are able to achieve their goals of extensive reading and choose proper texts for their reading ability. A revision of the Korean lexical text measurement formula developed by Kim and Lee (2010) was used to elicit a text measurement. For the students’ proficiency index of readability, reading ability assessment tasks were assessed using the readability formula which yielded individual readability measurements. In order to yield a text measurement, both the vocabulary and syntactic difficulties were evaluated. To analyze the difficulty of the vocabulary, the RANGE program developed by Paul Nation was used. Syntactic difficulty was measured for each text by the L2 Syntactic Complexity Analyzer developed by Lu (2010). To evaluate readability depending on the texts, questions were analyzed with Brown (2001)’s types of questions. Afterwards, the text measurement and a summary of the book’s content were calculated into the final automated elementary English readability index. The core engine based on KEERI was implemented in PHP and JAVASCRIPT. After the development of the web based KEERI program, a correlation analysis was conducted with the text measurement and the evaluated readability, and it was found that there was a high correlation between them. Through an ANOVA test, a graded benchmark of the text measurement was established.
참고문헌 (27)
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