Title :
The Analysis of Indicators in Teachers Evaluation Based on Rough Set
Author :
Zhao, Qingshan ; Meng, Guoyan
Author_Institution :
Dept. of Comput. Sci., Xinzhou Teachers Univ., Xinzhou
Abstract :
The traditional method of teachers evaluation in colleges and universities listed too many indicators, and there are some indicators that are unimportant or do not care about the people. This evaluation not only delay students, but also can not draw scientific conclusions. This paper introduces a method which combined discernibility matrix and the distinction function to analyze the data obtained by questionnaire survey. Through it we obtain the five optimal relative reductions from the twenty indicators in the teaching evaluation questionnaires, which the five indicators can be regard as the foundation of the evaluation of teachers.
Keywords :
functions; matrix algebra; rough set theory; teaching; discernibility matrix; distinction function; indicator analysis; questionnaire survey; rough set; teacher evaluation; Data analysis; Decision making; Delay; Education; Educational institutions; Information analysis; Machine learning algorithms; Pattern analysis; Pattern recognition; Rough sets;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.288
