Yu Tao

The combination of artificial intelligence algorithm and multi-modal interactive fusion technology provides a more intelligent data-driven teaching model for college English education. Through the integration of technologies including speech recognition, computer vision and natural language, the teaching vitality is enhanced, the listening and speaking training is more intelligent and the classroom experience is more real and three-dimensional. In this study, the application of intelligent dialogue, virtual reality classroom, multi-modal hybrid learning, data-driven evaluation and other technologies is mainly discussed to explore how these technologies promote personalized teaching mode, real-time feedback, accurate evaluation, and the construction of intelligent course organization, so as to promote the intelligent development of college English teaching.

multimodal interaction technology; Artificial intelligence; Speech recognition; Computer vision; Natural language processing

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