Abstract
This paper attempted to examine the part of the evaluation of online Korean language education that took place during the pandemic when non-face-to-face classes were activated and to identify the trends and trends of research at the same time. Research on online Korean language education evaluation began in 2006, when the influx of foreigners was active, and various big data analysis methods were used to draw conclusions and gain insight into educational research trends. 88 academic papers were searched through the RISS (Research Information Sharing Service), and the extracted word parts were limited to nouns, and frequency analysis, centrality analysis (degree centrality, close centrality, betweenness centrality), and topic modeling were conducted to derive results and discuss them.
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