Title :
Research on Network-Course Learning Effect Evaluation Model Based on Three-layer Bayesian Network
Author_Institution :
Sch. of Comput. Sci., Neijiang Normal Univ., Neijiang, China
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;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.159