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1.
Sustainability ; 13(19):10821, 2021.
Article in English | MDPI | ID: covidwho-1444311

ABSTRACT

The COVID-19 pandemic is affecting business, society, and education worldwide. In particular, it is an example of a non-face-to-face approach in commerce and education. As the pandemic has lasted for nearly two years in Korea, online remote learning has been held at universities for four semesters. There are learning management systems (LMSs) and real-time Zoom lectures for the types of online remote learning widely used at Korean universities, and students and professors are adapting with some difficulties due to the unfamiliar lecture environment. Assessment of students’ online remote learning is essential in reinforcing strengths and compensating for weaknesses. This study aimed to investigate the relationship between online remote learning quality (system quality, information quality, and service quality), flow, and learner satisfaction, and the implications are presented. A survey was conducted on 182 university students, and the structural equation model of AMOS 21.0 was used to analyze the research hypothesis. The results of the empirical analysis were as follows. First, system quality, information quality, and service quality had a positive effect on flow. Second, system quality, information quality, and service quality had a positive effect on learner satisfaction. Third, flow had a positive effect on learner satisfaction. It seems that online remote learning in university is becoming a new normal. In conclusion, the implications and limitations of this study are presented.

2.
Int J Environ Res Public Health ; 17(16)2020 08 06.
Article in English | MEDLINE | ID: covidwho-711377

ABSTRACT

COVID-19 is lasting longer than expected, which has a huge impact on the economy and on personal life. Each country has a different response method, and the damage scale is also distinct. This study aims to find out how COVID-19-related news was handled in the domestic media to seek ways to minimize the pandemic. The paper focuses on the number of news features by period and by disaster and analyzes related words based on big data. The results of the analysis are as follows. First, in the initial response phase, keywords to identify accurate sources of actual broadcast contents, fake news, social networking service (SNS), etc. were also ranked in the top 20. Second, in the active response phase, when the number of confirmed persons and the government's countermeasures were announced, more than 100 COVID-19-related articles were issued, and the related words increased rapidly from the initial response stage. Therefore, the fact that COVID-19 has been expressed as a keyword indicates that our society is watching with great interest in the government's response to the disease.


Subject(s)
Big Data , Communications Media/statistics & numerical data , Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Betacoronavirus , COVID-19 , Government , Humans , Mass Media/statistics & numerical data , Pandemics , SARS-CoV-2 , Social Media/statistics & numerical data
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