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dc.contributorDepartment of Computingen_US
dc.creatorYim, Wai-hin-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/3026-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleModeling and monitoring online conversations data with SCORMen_US
dcterms.abstractE-learning becomes more and more important to educational organizations and enterprise trainings. However, lack of high quality contents is a major issue of those. Professional contents are not only expensive, but also not specific to E-learning environment. Monitoring the on-line behaviors of distance learning students is another challenge of online learning, because there still have no effective way to gather feedback from the participants [4]. In this paper, we will propose architecture for the implementation of converting existing discussion contents to standard E-learning package. The converting process is separated into different steps and involved different standard like Docbook and SCORM 2004. We will then run a few case studies to show how SCORM contribute to monitor discussion forums and gather students' feedback in higher level summary report. Finally, we will evaluate if the architecture may help tutors/trainers to find out the behaviors and provide them with better support. We will also explore is there any limitation or issue of current approach, and propose further enhancement.en_US
dcterms.extent99 leaves : ill. ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2008en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertations.en_US
dcterms.LCSHEducational technology -- Standards.en_US
dcterms.LCSHInternet in education.en_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/3026