Data-driven Teaching Mode Innovation and Teaching Quality Improvement Strategies for English Education in Colleges and Universities

Abstract

Combining the data era with the characteristics of teachers and students to innovate the teaching mode is an effective means to improve the quality of English education and teaching in colleges and universities. In this paper, under the guidance of modern teaching theory, in-depth study of the operation principle of the expert system in the field of artificial intelligence, to categorize and summarize the English knowledge points with its knowledge representation, and thus build the English teaching expert system in this paper. In the actual English teaching in a university, the experimental class A and the control class B, which have no significant difference in total scores, are selected to carry out the comparative experiments on the auxiliary effect of this expert system. The average value of a number of indexes of the experimental class that used the English teaching expert system of this paper changed a lot, and the degree of improvement was very significant (P<0.01 or P<0.05), which indicates that the English teaching expert system of this paper can effectively assist the English teaching of teachers and the English learning of students in colleges and universities, and improve the quality of English teaching while updating the form of education.