텍스트 마이닝 기반 초등영어 원격수업 연구 이슈 분석 및 연구 방향 탐색

An analysis of research issues and exploration of future research directions for online classes in primary English education based on text mining

In the context of online learning due to COVID-19, this study aimed to analyze the research issues and explore the future research directions for the online classes in primary English education. In order to achieve this, the English abstracts of the 76 published research on online learning in primary education from January 2020 to April 2021 were collected and classified into three categories: primary English education, primary education in general, and other subjects. The data from each category was then analyzed, visualized, and compared through text mining techniques provided in the statistic program, R. The results of text mining, specifically, the absolute comparison done by word cloud, the relative comparison conducted by odds ratio calculation, and the semantic network analysis showed several implications for future research. First, the detailed roles of teachers in the online learning environment should be explored to suggest teachers’ competencies for online classes. Second, the English teaching curriculum reflecting online learning needs to be collected and analyzed. Third, effective online activities in English classes should be investigated to improve the quality of online teaching. Fourth, the aspects of online learning after COVID-19 should be examined as it is expected to continue in the shift towards future education.