Optimization strategies for online courses in Chinese universities during COVID-19 pandemic

Abstract

During the COVID-19 pandemic, Chinese colleges and universities have online courses all over the country, but there is no definitive model for evaluating the effect of online course education. In addition, most domestic universities analyze the factors that affect online courses from a qualitative perspective, and there are fewer reasonable mathematical models. This paper uses the Logistic model to establish a multiple model between college students' online course learning conditions and various influencing factors, and uses a questionnaire survey to analyze the learning status of Chengdu University of Technology students who have taken online courses during the epidemic. Comparison of forecasts. It provides a reference for improving the online learning management system and improving students' online learning level in the future.