Title :
Evaluation for Teaching Quality Based on Fuzzy Neural Network
Author :
Dong, Peng ; Dai, Feng
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
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;
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
DOI :
10.1109/ETCS.2009.34