Abstract
This study aimed to investigate how mass media in Korea dealt with various issues arising from COVID-19 and the implications of this on statistics education in South Korea during the recent pandemic. We extracted news articles with the keywords “Corona” and “Statistics” from 18 February to 20 May 2020. We employed word frequency analysis, topic modeling, semantic network analysis, hierarchical clustering, and simple linear regression analysis. The main results of this study are as follows. First, the topic modeling analysis revealed four topics, namely “macroeconomy”, “domestic outbreak”, “international outbreak”, and “real estate and stocks”. Second, a simple linear regression analysis displayed two rising topics, “macroeconomy” and “real estate and stocks” and two falling topics, “domestic outbreak” and “international outbreak” regarding the statistics related to COVID-19 as time passed. Based on these findings, we suggest that the high school mathematics curriculum of Korea should be revised to use real-life context to enable integrated education, social justice for statistics education, and simple linear regression analysis.
Highlights
Since the outbreak of COVID-19 was first reported in China, the agendas for political, economic, social, and cultural issues have been interpreted in relation to the COVID-19 pandemic
Mathematics lies at the center of fundamental societal reform and should be able to solve complex problems that are closely related to sustainability—such as manufacturing and security—as well as social problems—such as disaster management, modeling of infectious diseases, crime prevention, transportation, environmental conservation, and welfare—through objective and accurate predictions based on big data
We show topic modeling as a testing bed to demonstrate how statistics project methods can be used by adopting a topic during the COVID-19 era
Summary
Since the outbreak of COVID-19 was first reported in China, the agendas for political, economic, social, and cultural issues have been interpreted in relation to the COVID-19 pandemic. The. World Health Organization declared the pandemic as the highest level of emergency. World Health Organization declared the pandemic as the highest level of emergency This contagious disease has intimidated humankind worldwide, thereby raising concerns about potential chaos and economic losses. To prepare for another pandemic in the future, it is necessary to have big data and accurate information. In this sense, teaching statistics in mathematics curriculum functions as the basis for analyzing and predicting outbreaks and is becoming increasingly essential [3]
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