언어 네트워크 분석을 통한 COVID-19 전후 블렌디드러닝 연구동향 분석

Abstract

Objectives This study intends to suggest the development and follow-up research direction of blended learning research by analyzing the trends and representative research topics of each period of blended learning related papers. Methods Keywords were collected and refined for papers related to blended learning from 2011 to October 2021 in the journal database. The keywords included in the study before and after COVID-19 were analyzed for frequency and degree centrality, and the results were visualized. Results As a result of quantitative change trend analysis, it was confirmed that there is a rapid increase after COVID-19. As a result of keyword analysis, the frequency and importance of keywords related to experimental research verifying the effectiveness of blended learning itself were high in the research prior to COVID-19. In research after COVID-19, it was confirmed that the frequency and importance of keywords related to development research such as class model development in non-face-to-face class situations were high. ‘Effectiveness Verification’ and ‘Experimental Research’, ‘Instructional Model Development’ and ‘Development Research’, ‘Experimental Research’ and ‘Academic Achievement’, ‘COVID-19’ and ‘Non-face-to-face Class Situation’ was confirmed to have a high relevance. As a result of the centrality analysis, before COVID-19, research was being conducted centered on the keywords of ‘Effectiveness Verification’, ‘Experimental Research’, and ‘University’. After COVID-19, research has been focused on the keywords of ‘Development Research’, ‘Mixed Learning Environment’, and ‘University’. In addition, it was confirmed that the keywords were grouped into four themes. Conclusions Although blended learning related papers have achieved steady quantitative growth over the past 10 years, previous studies have a limitation in that the proportion of microscopic studies focused on effectiveness verification and instructional model and program development was high. For the balanced development of blended learning research, it seems necessary to understand blended learning from a more macroscopic point of view in future research and field application, and to approach systematically from the instructional design stage, which is the basis of class operation.