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dc.contributor.authorShih, Wen-Chungen_US
dc.contributor.authorTseng, Shian-Shyongen_US
dc.contributor.authorYang, Chao-Tungen_US
dc.date.accessioned2014-12-08T15:10:42Z-
dc.date.available2014-12-08T15:10:42Z-
dc.date.issued2008-11-01en_US
dc.identifier.issn0360-1315en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.compedu.2007.10.007en_US
dc.identifier.urihttp://hdl.handle.net/11536/8175-
dc.description.abstractGrid computing environments with abundant resources can support innovative e-Learning applications, and are promising platforms for e-Learning. To support individualized and adaptive learning, teachers are encouraged to develop various teaching materials according to different requirements. However, traditional methodologies for designing teaching materials are time-consuming. To speed up the development process of teaching materials, our idea is to use a rapid prototyping approach which is based on automatic draft generation and Wiki-based revision. This paper presents the approach named WARP (Wiki-based Authoring by Rapid Prototyping), which is composed of five phases: (1) requirement verification, (2) query expansion, (3) teaching-material retrieval, (4) draft generation and (5) Wiki-based revision. A prototype system was implemented in grid environments. The evaluation was conducted using a two-group t-test design. Experimental results indicate that teaching materials can be rapidly generated with the proposed approach. (c) 2007 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectteaching material designen_US
dc.subjectWiki-based authoringen_US
dc.subjectrapid prototypingen_US
dc.subjecte-Learning griden_US
dc.titleWiki-based rapid prototyping for teaching-material design in e-Learning gridsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.compedu.2007.10.007en_US
dc.identifier.journalCOMPUTERS & EDUCATIONen_US
dc.citation.volume51en_US
dc.citation.issue3en_US
dc.citation.spage1037en_US
dc.citation.epage1057en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000258024000005-
dc.citation.woscount18-
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