Optimization Design of Artificial Intelligence Aids in Higher Vocational English Classroom Teaching under the Concept of Industry-Teaching Integration

Abstract The transformation of artificial intelligence technology results is one of the key points to promote the integration of industry and education. In this paper, based on the basic model of attentional knowledge tracking and common intelligent teaching and learning systems, an intelligent English teaching and learning system based on knowledge point tracking is designed. The model encodes the position through the sine-cosine function and uses the scaled dot product to calculate the attention for multi-head attention operation. Subsequently, the functional requirements were analyzed and the intelligent English teaching and learning system for senior English classroom teaching was constructed. The AUC value of the model designed in this paper is 0.966, and the performance on the AUC metrics is improved by 14.18%, 9.40%, 10.40%, and 5.23% over the DKT, DKT-F, DKVMN, and DKVMN-LA models, respectively. After applying the method of this paper, the pass rate of the senior English course was improved by 10.1%. It proves that the use of artificial intelligence technology to empower senior vocational English classroom teaching helps to implement the concept of industry-teaching integration and improve the teaching effect.