Research on Improving the Quality of Online Teaching Based on Big Data under the COVID-19 Coronavirus Epidemic

Abstract

In 2020, the global COVID-19 outbreak came out of the blue and caught people and businesses by surprise, including the education sector. In order to ensure the “suspension of classes”, schools at all levels in China implement online teaching. How to ensure the quality of online teaching is an important issue. Based on the big data of online teaching, it is of great practical significance to analyze the factors affecting the quality of online teaching, so as to improve the path of improving the quality of online teaching. With the help of big data analysis, the index system of online teaching quality improvement is constructed and applied. Through questionnaire survey and SPSS software analysis, it can be concluded that the teaching quality of online teaching can be improved from three aspects: the behavior level of school, the learning level of students and the behavior level. Therefore, the following Suggestions are put forward: improve the hardware environment, perfect the teaching organization, strengthen the teaching supervision, strengthen students’ mastery of knowledge and skills, strengthen students’ active inspection and team learning. It is hoped that the implementation of such recommendations will further improve the quality of online teaching in the context of COVID-19.