Measuring the Satisfaction of Participants in Online Learning during the COVID-19 Pandemic: A Large-Scale Analysis

摘要

With the rapid deterioration and widespread of COVID-19, educational institutions around the world have adopted online teaching instead of traditional classroom teaching for uninterrupted learning. Under the large-scale online teaching activities with COVID-19, participant satisfaction needs to be explored. We collected the data of over five million students and parents, as well as nearly a half million teachers’ data. For students and teachers, our results show that regions, grades, urban and rural areas have different impacts on satisfaction. For parents, we adopt machine learning and statistical methods to investigate factors affecting satisfaction. In this research, we found some potential problems of participants groups with different characteristics, including technical support, learning resources, and online interaction. At last, this paper puts forward some suggestions on these finding problems. The government’s education institutions can make special policies according to different situations.