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The determinants of the effectiveness of online discussion board systems in eLearning: A case study

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dc.contributor.authorLee, Habin-
dc.contributor.authorKim, Jong Woo-
dc.contributor.authorHackney, Ray-
dc.date.accessioned2022-12-21T01:19:13Z-
dc.date.available2022-12-21T01:19:13Z-
dc.date.created2022-09-16-
dc.date.issued2008-09-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/177934-
dc.description.abstractThis paper aims to reveal the determinants of the effectiveness of online discussion board systems (ODBSs) in eLearning environments to foster the interactions among the learners and/or instructors. A case in which an ODBS failed to foster the interactions among learners / instructors for knowledge sharing is introduced and hypotheses to explain the failure are developed based on thorough literature review in technology acceptance model (TAM) and knowledge hoarding. The hypotheses are tested via statistical analysis on the data collected from a questionnaire survey against the students who actually involved in the case study. The result shows that the low perceived usefulness of the ODBS by the students played major role in the failure of the system. Also it is hinted that network externalities as an intrinsic motivator is more effective than extrinsic motivators to increase the students' activities on the ODBS. Finally the paper provides the designers of eLearning systems with advice for successful operation of ODBS in eLearning.-
dc.language영어-
dc.language.isoen-
dc.publisherSpringer-
dc.titleThe determinants of the effectiveness of online discussion board systems in eLearning: A case study-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Jong Woo-
dc.identifier.doi10.1007/978-3-540-87781-3_30-
dc.identifier.scopusid2-s2.0-56649100430-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.5288 LNAI, pp.271 - 277-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume5288 LNAI-
dc.citation.startPage271-
dc.citation.endPage277-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusFlow interactions-
dc.subject.keywordPlusStudents-
dc.subject.keywordPlusSurveys-
dc.subject.keywordPlusCase studies-
dc.subject.keywordPlusE-learning systems-
dc.subject.keywordPlusElearning environments-
dc.subject.keywordPlusKnowledge sharing-
dc.subject.keywordPlusLiterature reviews-
dc.subject.keywordPlusNetwork externalities-
dc.subject.keywordPlusOnline discussions-
dc.subject.keywordPlusPerceived usefulnesses-
dc.subject.keywordPlusQuestionnaire surveys-
dc.subject.keywordPlusStatistical analysis-
dc.subject.keywordPlusTechnology Acceptance models-
dc.subject.keywordPlusOnline systems-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-540-87781-3_30-
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