Genetic Algorithm-Based Evaluation Model of Teaching Quality

Author

Wang, Hongfa ; Yu, Feng ; Xing, Chen ; Zhou, Zhimin

Author_Institution

Dept. of Comput. & Inf. Eng., Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China

fYear

2010

fDate

2-4 April 2010

Firstpage

97

Lastpage

100

Abstract

The main purpose of evaluation model of teaching quality is to help improving teaching. The rationality and fairness of conventional models have been doubted, as evaluation results are obtained using subjective weights. Therefore, a more scientific and reasonable evaluation model is needed. This paper introduces an evaluation model of teaching quality based on genetic algorithm. Objective weights obtained in this model guarantee the objectiveness and fairness of the evaluation result. Experimental results show that evaluation results of a same teacher´s teaching in different classes are almost the same. This proves that the proposed model has good reliability.

Keywords

genetic algorithms; teaching; genetic algorithm-based evaluation model; teacher teaching; teaching quality evaluation model; Computer security; Education; Educational institutions; Genetic algorithms; Humans; Informatics; Information security; Information technology; Support vector machines; Testing; evaluation model; genetic algorithm; teaching quality; weight;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on

Conference_Location

Jinggangshan

Print_ISBN

978-1-4244-6730-3

Electronic_ISBN

978-1-4244-6743-3

Type

conf

DOI

10.1109/IITSI.2010.59

Filename

5453641