Analysis Method for Teacher-Student Interaction in Online English Courses

Abstract

In online learning, the teacher-student interaction mainly takes place in the form of themed discussion anytime, anywhere, and the posting and commenting on the theme. It is of great practical significance to select a proper behavior analysis method that effectively analyzes the mass data on teacher-student interaction. Taking online English courses as an example, this paper explores the teacher-student interaction during online learning. Firstly, the ant colony algorithm was adopted for cluster analysis of teacher-student interaction, and the analysis procedure was detailed. Next, the features of teacher-student interaction were illustrated from three aspects, namely, overall interaction on online learning platform, progress of themed discussion, and teacher-student interaction, in order to examine the teacher-student interaction model. Finally, the features were obtained for teacher-student interaction in themed discussion of online English courses.