Blended Teaching Method for College English Based on Principal Component Attribute Preference Learning

摘要

To improve the reasonability of research on blended English teaching model, a research method for blended English teaching model based on multi-kernel support vector machine algorithm of principal component is proposed. Firstly, conduct the research and design of the process of blended teaching of English: preview of English scenario simulation experiment accounts for 10% of the total scores; performance during the English scenario simulation experiment accounts for 20% of the total scores; report of English scenario simulation experiment accounts for 50% of the total scores and the assessment of English scenario simulation experiment accounts for 20% of the total scores; secondly, conduct the optimization research on the blended teaching model of English adopted through the multi-kernel support vector machine algorithm of principal component; finally, verify the effectiveness of the method proposed through the simulation of English scenario simulation experiment.