English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6491/11663
Visitors : 24906966      Online Users : 62
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/16900

Title: Multi-Criteria Evaluation of the Web-Based E-Learning System: A Methodology Based on Learner Satisfaction and Its Applications
Authors: Shee, Daniel Y.;Wang, Yi-Shun
Contributors: 資訊管理學系
Keywords: Web-based e-learning system;Multi-criteria methodology;Learner satisfaction
Date: 2008-04
Issue Date: 2013-07-10T07:08:58Z
Publisher: Elsevier Ltd.
Abstract: The web-based e-learning system (WELS) has emerged as a new means of skill training and knowledge acquisition, encouraging both academia and industry to invest resources in the adoption of this system. Traditionally, most pre- and post-adoption tasks related to evaluation are carried out from the viewpoints of technology. Since users have been widely recognized as being a key group of stakeholders in influencing the adoption of information systems, their attitudes toward this system are pivotal. Therefore, based on the theory of multi-criteria decision making and the research products of user satisfaction from the fields of human-computer interaction and information systems, this study proposed a multi-criteria methodology from the perspective of learner satisfaction to support those evaluation-based activities taking place at the pre- and post-adoption phases of the WELS life cycle. In addition, by following this methodology, this study empirically investigated learners' perceptions of the relative importance of decision criteria. This investigation carried out a survey of college students, and the data thus obtained was then analyzed by analytic hierarchy process in order to derive an integrated preference structure of learners as a ground for evaluation. We found that learners regarded the learner interface as being the most important dimension of decision criteria. Future applications of these results are recommended and the implications are discussed.
Relation: Computers and Education, 50(3): 894-905
Appears in Collections:[資訊管理學系所] 期刊論文

Files in This Item:

File SizeFormat
index.html0KbHTML492View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback