Research on methods of personalized English teaching promoted by Big Data teaching platform

Abstract

In the reform and development of modern education, the integration and use of big data education platform to build and promote personalized English teaching system can not only reflect the teaching concept of individualized teaching, but also fully meet the learning needs of different groups of students at different stages. On the basis of understanding the development of big data technology and the research status of personalized English teaching, this paper uses fuzzy control centralized algorithm to improve the recommendation mechanism of English teaching system, so that students can choose suitable professional teachers according to their own needs. At the same time, after drawing students' learning portraits, the portrait technology is used to evaluate students' passing rate. This provides an effective basis for the practice of personalized English teaching guidance. The final experimental results prove that the design of the whole system meets the personalized needs of the student users, and in the future technology research and development, we should pay attention to the design of functional services from the perspective of professional teachers.