Evaluation of Blended Oral English Teaching Based on the Mixed Model of SPOC and Deep Learning

With the deep integration of “internet + education” and the continuous advancement of education reform, blended teaching has become the main method of university education reform. Blended education combines the advantages of traditional education and online education to complement each other. It not only takes advantage of the flexibility and autonomy of online education but also retains the benefits of emotional communication between teachers and students in offline education. With the increase in practical exploration of blended teaching in universities, teaching evaluation is an important part of teaching, and blended teaching evaluation should also attract attention. The purpose of this paper is to study the mixed oral English teaching evaluation based on the mixed mode of SPOC and deep learning. On the basis of analyzing the teaching design principles of the mixed mode of SPOC and deep learning and the principles of constructing the teaching evaluation after half a semester of teaching investigations conducted by the two classes of English majors, the impact of the SPOC and deep learning mixed teaching mode on students’ spoken English was studied through the method of covariance analysis. The experimental results show that the mixed teaching mode of SPOC and deep learning has been able to fully stimulate students’ interest in oral English learning and improve students’ oral English ability, critical thinking of students, ability to solve problems, group cooperation, and effective communication. Self-directed learning and self-reflection have all had a positive impact.