Title :
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
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;
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
DOI :
10.1109/IITSI.2010.59
