Application of artificial intelligence in English teaching content innovation and teaching method optimization

With the further improvement of educational requirements, English teaching content innovation and teaching method optimization are becoming more and more important. In this paper, we constructed the AI-CIM model and AI-MOM model based on AI technology. Specifically, we constructed the AI-CIM model based on RNN, which can realize the function of generating innovative teaching content based on existing materials. We constructed the Teaching Method Optimization Model based on TCN, which can realize the function of providing suggestions to teachers based on students’ existing loading and performance. We validate the effectiveness of the model through empirical analysis. The results show that the posttest scores of students in the experimental group in listening, reading, writing, speaking, and total scores are significantly different from the pretest scores. And the post-test questionnaires of the students in the experimental group on interest, motivation, self-confidence, autonomy, satisfaction, and total score are significantly different from the pre-test questionnaires, which indicates that AI-CIM and AI-MOM have a significant effect on improving the students’ attitudes towards English learning and learning effectiveness.