Paper Info
Title
The establishment and research of a neural network-based evaluation model for chinese universities' online PE courses
Abstract
Purpose: Applying principles of BP neural networks to the evaluation of the teaching quality of online PE courses at Chinese universities, proposes a neural network-based model for evaluating the online PE teaching quality. Method: To integrate the theory concerning online PE course development with the practice of Hunan Normal University's online PE courses teaching to make a empirical analysis. Result: It also brings forward a step size algorithm that can be implemented within the MATLAB environment. Conclusion: The application of artificial neural networks to online PE teaching quality evaluation not only avoids the elements of subjectivity from experts in the evaluation, but also brings about satisfactory results. Thus, this approach has wide applicability.
Year
DOI
Venue
2011
10.1007/978-3-642-25255-6_68
ICICA (LNCS)
Keywords
Field
DocType
neural network-based evaluation model,chinese university,online pe course development,pe teaching quality evaluation,online pe course,bp neural network,teaching quality,hunan normal university,online pe teaching quality,artificial neural network,neural network-based model
MATLAB,Computer science,Artificial intelligence,Artificial neural network
Conference
Volume
ISSN
Citations 
7030
0302-9743
0
PageRank 
References 
Authors
0.34
1
1
Name
Order
Citations
PageRank
Yunzhi Peng110.76