On the Modeling and Predication of Teaching Effectiveness with Machine Learning

Abstract

The nature of teaching lies in the instructive interactions between a teacher and a student. Consequently, the quality of teaching (or teaching effectiveness) is decided by the characteristics of both the teacher and the student. We try to build a fundamental modeling framework that captures this nature of teaching and makes it possible the formal modeling as well as the calculation and predication of teaching effectiveness. Moreover, leveraging on machine learning methods, application of the framework does not require full implementations of its models.