Present age education technology, which is a product of current era, is obtaining more and more attention from experts and scholars. It changes abstract concepts into visible actual uses, crosses time and space restrictions, arouses students’ study passion, solves teaching hard problems, and expands study visual fields. This article puts forward the SPOC blended learning method to construct an intelligent teaching framework for Chinese language courses, focusing on four aspects: prior-stage assessment, resource arrangement, teaching activity planning, and evaluation systems. Modern education technique utilizes speech recognition calculation methods to promote the correctness and speed of classroom interactive activities. A comparison has been done among the classification effect of many different models, that is the Gaussian Mixture Model (GMM), the Event-Based Frequency Model (EV-FM), and the i-vector. Actual experiments prove that the EV-FM can acquire more superior outcomes on the testing corpus. Afterwards, experience-based investigation which is built on picked case studies shows that the SPOC mixed teaching pattern for Chinese language intelligent classrooms, that is established on the EV-FM, therefore has an obviously active influence on students’ participation in deep study and their ability in study methods. Furthermore, this model can promote the learning of students and the interaction inside classroom.
