Research on the Innovation Path of English Education Teaching Mode in Colleges and Universities Based on Differentiated Data Analysis

Abstract

Differentiated data analysis promotes the precision of teaching management and the scientificization of educational decision-making, which is an important path to improve English education and teaching in colleges and universities. This paper gives a teaching model of English education in colleges and universities in combination with the problem-driven unit overall teaching concept. Apriori algorithm is used to mine the association rules of the data of SPOC course Comprehensive English, and the data are further analyzed differentially by K-means algorithm. The empirical analysis examines the impact and path of English education teaching model on students' academic performance. According to the path analysis, video learning resources (0.317) have the greatest impact on students' subjective attitudes, pre-course video learning resources determine learning activities, and teachers' classroom teaching is an important part of knowledge internalization. There is a relatively large correlation between the use of innovative teaching models and students' academic performance p < 0.05.