Data-Based Learning Analysis and Its Application to English Education: Focusing on Online and Blended Learning Environment

• 영문명: Data-Based Learning Analysis and Its Application to English Education: Focusing on Online and Blended Learning Environment
• 발행기관: 한국영어어문교육학회
• 저자명: Ji-Eun Kim
• 간행물 정보: 『영어어문교육』제29권 제1호, 23~39쪽, 전체 17쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2023.03.31

영문 초록

This study uses a portion of the learner data from Learning management system(LMS) to find factors that affect academic achievement. In addition, this study tried to suggest a method to apply this learning analysis to English education. For this purpose, the LMS data for (1) lectures during the 4th semester (September 2020~June 2022) in the ‘online class environment’ due to COVID-19 and (2) classes in the 2nd semester in 2022 conducted as ‘blended learning’ classes was collected and analyzed. The main results are as follows. In the ‘online learning environment’, it was found that there was a significant positive correlation between the access frequency and grades by LMS content and the frequency of access to class lecture videos, notices and assignments had a significant effect on learners’ grades. In the ‘blended learning environment’ the results of the correlation analysis showed that there was a significant positive correlation between the access frequency of announcements and videos and grades. However, in the results of the regression analysis, there were no variables that affected grades. This study is meaningful in that it investigated the relationship between the frequency of access to each content and academic achievement in order to identify more accurate variables.

키워드

data-based learning analysis online learning blended learning English education