Design and Application of Business English Sand Table Simulation Training Course in Secondary Vocational School Based on Machine Learning

Abstract

Sand table training teaching for English majors truly embodies the characteristics of combining theory with practice, and also enables students to truly apply what they have learned and improve their practical ability and practical skills. At present, all secondary vocational schools aim at cultivating high-quality compound applied talents to meet the needs of the society, and pay special attention to the cultivation of students’ professional skills and professional abilities. Based on machine learning, this paper designs the sand table simulation training course of business English in secondary vocational schools, and establishes an English vocabulary self-adaptive learning model that realizes machine learning algorithm. The solution process of the model refers to the self-adaptive test process based on item response theory. This model can continuously iterate the fitness until it is stable, and finally push out the learning content that suits him. Sand table training teaching has the characteristics of short-term intensive training and strong practical operation, which can help students transform the business knowledge in textbooks into flexible business operations.