System Construction of English Teaching System Based on Deep Learning Model

By investigating and analyzing model in language learning and the present situation of English teaching system, we put forward an architecture design of English teaching system based on deep learning model. The system mainly includes three parts: teaching content management, learner behavior analysis and intelligent assisted learning. In the teaching content management, we use the deep learning model to identify, analyze and sort out English teaching resources, and recommend the most suitable learning resources for students. In the aspect of learner behavior analysis, we can analyze and evaluate learners’ learning habits, interests and abilities by collecting and analyzing students’ learning data. Finally, we apply the deep learning model to intelligent assisted learning, and realize adaptive learning and personalized teaching, thus deep learning model has good practicability and popularization value.