Research on online education teacher evaluation model based on opinion mining

Abstract

This paper analyzes the current common teacher evaluation methods, and points out the shortcoming of current methods of using the rubrics: they rely on the fixed rubric rules, and take less into account students' opinion text published in the LMS (learning management system). The paper provides an online education teacher evaluation model based on opinion mining. The model collects opinion texts in the LMS by using web crawler, and processes them by using topic extraction and sentiment orientation classification, etc. And thus the model gets an overall evaluation of each teacher. This processing can primarily run automatically and enhance efficiency and effect of the teacher evaluation. © 2012. The authors - Published by Atlantis Press.