Online and Offline Hybrid Teaching Reform of college English Based on Big Data

In the context of big data, the application of innovative teaching models is more popular in colleges and universities. Micro classes, MOOC and flipped classes help to promote the identity exchange between teachers and students. In order to verify the effect of mixed learning mode on students' academic performance, this study selects entropy weight TOPSIS model to evaluate the performance of online and offline mixed teaching reform of college English. Based on entropy weight TOPSIS model, a study on the performance evaluation of college English online and offline hybrid teaching reform is conducted. Firstly, the model is constructed and the selection basis of relevant indicators is introduced. Then the TOPSIS model is analyzed in detail by using entropy weight method. Finally, the relevant secondary indicators are further analyzed. Based on results of the survey and the background of “Internet plus big data”, the teaching strategies for improving the effectiveness of blended learning in college English teaching are summarized, providing teaching research experience.