텍스트 마이닝을 활용한 초등 예비교사의 영어 수업분석 관점 탐색

This study explores pre-service elementary teachers’ viewpoint on the analysis of English lesson, using text mining. For this purpose, seventy-nine pre-service teachers developed an English lesson analysis instrument by themselves and analyzed one English lesson video using this instrument. The authors analyzed, visualized, and compared the pre-service teachers’ lesson analysis using a text mining method, which was provided in R program. The text mining method shows frequent keywords on pre-service teachers’ educational viewpoint and their interests in the English lesson video. It categorizes eight topics of pre-service teachers’ viewpoint and interests as well as explains the relative comparison conducted by TF-IDF(Term frequency-inverse document frequency). It also drew the semantic networks using bi-gram. Based on the data analysis, pre-service teachers’ viewpoint on the analysis of English lesson analysis is various but unsystematic. Thus, teacher-educators need to design systematic lesson observation and analysis courses and scaffold pre-service teachers’ lesson analysis skills. Future research and the implications of this study, along with various text mining techniques, are suggested.