Title :
E-learning Systems Evaluation with Data Envelopment Analysis and Bayesian Networks
Author :
Kao, H.-Y. ; Liu, M.-C. ; Huang, C.-L. ; Chang, Y.-C.
Author_Institution :
Inst. of Learning Technol., Nat. Dong Hwa Univ., Hualien, Taiwan
Abstract :
This study uses data envelopment analysis and Bayesian networks in e-learning systems evaluation and classification, respectively. By maximizing the weighted summed-outputs-to-weighted-summed-inputs ratio, we obtain the scores of individual as well as groups of reviewers from relative efficiency perspectives. The efficiencies are used as training data to construct the classification model for further decision and pre-evaluation in e-learning systems performance.
Keywords :
belief networks; classification; computer based training; data envelopment analysis; learning systems; Bayesian networks; classification model; data envelopment analysis; e-learning systems classification; e-learning systems evaluation; training data; weighted summed-outputs-to-weighted-summed-inputs ratio; Bayesian methods; Computer industry; Data envelopment analysis; Decision making; Electronic learning; Industrial training; Laboratories; System performance; System testing; Training data; Bayesian networks; data envelopment analysis; elearning systems; evaluation;
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
DOI :
10.1109/NCM.2009.285
