Human-computer interactive teaching model based on fuzzy set and BP neural network

摘要

As the main channel of human-computer communication, multimedia education technology can realize the virtualization of education and multi-dimensional information. In this paper, the authors design a human-computer interactive English experience teaching based on fuzzy set and BP neural network. With the development of intelligent education, the improvement of English teaching quality is particularly important, especially the effectiveness of classroom teaching. The construction of interactive education system has changed the traditional classroom teaching mode and made it possible for individual autonomous learning. This English teaching system is an E-learning platform based on network updating. The E-learning system has the following advantages: (1) E-learning media is easy to update, can provide more teaching content, and provide convenience for teaching. (2) E-learning interaction can stimulate learning interest; (3) E-learning is rich in educational materials and easy to set teaching objectives. (4) Using E-learning's human-computer interaction function, we can strengthen the supervision of education and teaching process.