A Teaching Evaluation Model Based on Information Entropy and Its Application

被引：1
|
作者：
Zheng Xiangwei [1 ]
Liu Hong [1 ]
Zhu Hailin [1 ]
机构：
[1] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Peoples R China
来源：
2008 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE AND EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ITME.2008.4743980
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
Most universities and colleges are employing teaching evaluations to guide their work However, no feasible and effective systems satisfy their requirements currently. This paper first presents a suit of evaluation indices based on the multiple evaluation subjects and developmental evaluation theory. Then, a teaching evaluation model based on information entropy is proposed, in which weight calculation of evaluation indices doesn't require past experiences and is easily implemented by computers. At last, the Information Entropy based Teaching Evaluation System (IETES) is described, which adopts B/S architecture and is deployed on the Internet. The applications in our school show that the IETES is feasible and effective.
引用
收藏
页码：811 / 816
页数：6
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