A Rough Sets Approach to Teaching Quality Evaluation Modeling and Empirical Analysis

Abstract

Contrary to the strong subjectivity and weak measurability existing in the present teaching quality evaluation method, this paper firstly established teaching quality evaluation target system and calculation model based on the rough set by means of expert interviews, questionnaire survey from the four dimensions: teaching attitude, teaching contents, teaching method and teaching effect. The Fuzzy C-Means Cluster was also used to discretize the index data. Afterwards, by utilizing the algorithm of attribute reduction based on rough set theory, 17 indexes were simplified into 5; finally, based on the attributes significance, the model figured out the index weight automatically and forms decision table rank of teaching quality assessment. The empirical results indicated that the model could overcome the shortcomings in traditional teaching quality assessment, and the method proved to be effective and feasible.