ABSTRACT
The objectives of the paper is to more accurate understand the use demands of wise classrooms for medical students, and provide scientific basis for wise classroom managers when formulating wise classroom environment optimization strategies. In the paper, the questionnaire survey method was used to investigate 23 indicators in 4 dimensions of hardware facilities, information technology, teaching methods and medical wise classroom features. And the data of 1 074 questionnaires were analyzed using KANO model analysis technology and satisfaction importance quadrant chart. Among the 23 demand indicators, there are 6 required attributes, 7 expected attributes, 9 charm attributes and 1 non-differential attribute. According to the theoretical importance ranking of the KANO model, wise classroom managers should first improve the quality of indicators related to necessary attributes, give priority to the quality of indicators related to expected attributes, and finally meet the requirements of indicators related to charm attributes. Relevant policies and construction suggestions for smart classrooms are put forward from the three levels of school top-level design, teachers and managers in the paper.
ABSTRACT
With the spread of the coronavirus worldwide, nations have implemented policies restricting the movement of people to minimize the possibility of infection. Although voluntary restriction is a key factor in reducing mobility, it has only been emphasized in terms of the effect of governments' mobility restriction measures. This research aimed to analyze voluntary mass transportation use after the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak by age group to explore how the perception of the risk of infection affected the public transit system. Mass transportation big data of Seoul Metro transportation use in the capital city of Korea was employed for panel analyses. The analysis results showed that in the period with both the highest and lowest number of infections of SARS-CoV-2, users aged 65 years and over reduced their subway use more than people aged between 20 and 64. This study also found that the decrease in subway use caused by the sharp increase of coronavirus disease 2019 (COVID-19) cases was the most prominent among people aged 65 years and over. The results imply that the elders' avoidance of public transportation affected their daily lives, consumption, and production activities, as well as their mobility.
