標題: Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL
作者: Gwo-Hshiung Tzeng
Cheng-Hsin Chiang
Chung-Wei Li
科技管理研究所
Institute of Management of Technology
關鍵字: e-learning;factor analysis;fuzzy integral;DEMATEL;multiple criteria decision making (MCDM)
公開日期: 1-May-2007
摘要: Internet evolution has affected all industrial and commercial activity and accelerated e-learning growth. Due to cost, time, or flexibility for designer courses and learners, e-learning has been adopted by corporations as an alternative training method. E-learning effectiveness evaluation is vital, and evaluation criteria are diverse. A large effort has been made regarding e-learning effectiveness evaluation; however, a generalized quantitative evaluation model, which considers both the interaffected relation between criteria and the fuzziness of subjective perception concurrently, is lacking. In this paper, the proposed new novel hybrid MCDM model addresses the independent relations of evaluation criteria with the aid of factor analysis and the dependent relations of evaluation criteria with the aid of DEM-ATEL. The AHP and the fuzzy integral methods are used for synthetic utility in accordance with subjective perception environment. Empirical experimental results show the proposed model is capable of producing effective evaluation of e-learning programs with adequate criteria that tit with respondent's perception patterns, especially when the evaluation criteria are numerous and intertwined. (C) 2006 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2006.02.004
http://hdl.handle.net/11536/10843
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2006.02.004
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 32
Issue: 4
起始頁: 1028
結束頁: 1044
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