Intelligent Adjustment Model and Algorithm Implementation of English Teaching Content Based on Deep Learning

Nowadays, the communication between China and other countries is more and more extensive, so the society has higher requirements for college students’ English proficiency. Courseware is the main core in the process of Web teaching, and its content organization and arrangement will directly affect the overall teaching effect. By expressing and analyzing the Concept Map of the knowledge and content of the course in students’ minds, we can customize the courseware browsing concept map for each specific learner, so as to realize personalized autonomous learning. Using the concept map theory, based on the previous research of personalized learning analysis model, The personalized analysis results are further discussed. At the same time, the intelligent adjustment model of teaching content is constructed by using the minimum spanning tree algorithm for reference, and the corresponding algorithm implementation is given.