Analysis of SPOC in Local Engineering Universities: -Taking the online course of Qingdao University of Science and Technology as an example

Abstract

This article used SPSS software to analyze the excellent rate of the Erya spring courses of Qingdao University of Science and Technology. First, the independent sample's T test was used to detect and analyze the correlation of the excellent rate, and then the single factor variance method was used to analyze the impact of objective factors such as course pass rate, average grade, and class hour on the excellent rate of the courses. The results showed that the passing rate and class hour have a significant impact on the excellent rate.