Research on Teacher-Student Interaction in M-learning

Abstract

This paper attempts to thoroughly explore the teacher-student interaction in the context of m-learning. To this end, the service capacity parameters and influencing factors of m-learning platform were introduced, and a game income matrix of the teacher-student interaction was created to yield the Nash equilibrium solution. It is found that the service capacity of m-learning platform is negatively correlated with the probability of teacher supervision, the supervision cost is negatively correlated with the probability of students’ active cooperation, and the penalty amount imposed on the teacher is positively correlated with the probability of students’ active cooperation. The research findings fill up the research gap on the teacher-student interaction in m-learning.