DocumentCode
508943
Title
Research on Network-Course Learning Effect Evaluation Model Based on Three-layer Bayesian Network
Author
Xiaorong, Hu
Author_Institution
Sch. of Comput. Sci., Neijiang Normal Univ., Neijiang, China
Volume
1
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
167
Lastpage
170
Abstract
Evaluation of network-course learning effect has the characteristic with fuzziness and uncertainty. In the paper, network-course learning effect evaluation method based on three-layer Bayesian network is presented. Firstly, evaluation indexes for network-course learning effect are presented. Then, the network-course learning effect evaluation model by three-layer Bayesian network is constructed. This three-layer Bayesian network evaluation model has obvious advantages in adaptability of model, comprehensiveness of probability analysis and effective judgment for possible results compared to common probability analysis. The experimental results demonstrate that the proposed evaluation model is effective and correct.
Keywords
belief networks; fuzzy set theory; statistical analysis; evaluation indexes; network-course learning effect; probability analysis; three-layer Bayesian network; Application software; Bayesian methods; Computer science; Databases; Gaussian distribution; Graphical models; Information technology; Intelligent networks; Random variables; Uncertainty; Bayesian network; evaluation model; learning effect; network-course;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.159
Filename
5368694
Link To Document