DocumentCode
3494817
Title
Evaluation for Teaching Quality Based on Fuzzy Neural Network
Author
Dong, Peng ; Dai, Feng
Author_Institution
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
Volume
1
fYear
2009
fDate
7-8 March 2009
Firstpage
112
Lastpage
115
Abstract
Teaching evaluation is an important area in the developments of schools. In this situation, the paper studies the problem through establishing fuzzy neural network model. Firstly, based on a scheme from ministry of education this paper constructs the evaluation index system. Secondly, according to the theory of fuzzy and neural network features, this paper combine them together and put forward an theory-evaluation for teaching quality based on fuzzy neural network. Thirdly, with an example the paper realizes the process. Through the work it provides a meaningful reference value for the teaching quality assessment system.
Keywords
educational administrative data processing; fuzzy neural nets; teaching; fuzzy neural network; school development; teaching quality assessment system; teaching quality evaluation index system; Computer science; Computer science education; Educational institutions; Educational programs; Educational technology; Fuzzy neural networks; Information science; Neural networks; Quality assessment; Quality management; fuzzy; neural network; teaching evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.34
Filename
4958737
Link To Document