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dc.contributor.authorCONLAN, OWEN
dc.date.accessioned2008-10-03T16:32:28Z
dc.date.available2008-10-03T16:32:28Z
dc.date.issued2000
dc.date.submitted2000en
dc.identifier.citationConlan, O. `Novel components for supporting adaptivity in education systems - model-based integration approach? in Proceedings of the eighth ACM international conference on Multimedia, 2000, pp 519 - 520en
dc.identifier.issn52893
dc.identifier.otherY
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/22610
dc.descriptionPUBLISHEDen
dc.description.abstractA Hypermedia System is collection of linked nodes (hyperdocuments), which have links through which the student can traverse to other nodes [Brusilovsky, 96], [De Bra, 98]. In Intelligent Tutoring Systems (ITS) the content or presentation is modified based on the interactions between the student and the system. ITSs incorporate artificial intelligence techniques so that the instruction is adaptable to the learners needs and styles [Boyd, 93]. Intelligence techniques such as curriculum sequencing, interactive problem solving support and intelligent analysis of student solutions characterise ITSs. The main criticism in the past has been that ITSs are based on the premise that for learning to occur, it is sufficient to embed an experts knowledge in the structure of the content and apply an appropriate instructional design model [Stauffer, 96].en
dc.format.extent519en
dc.format.extent520en
dc.format.extent152851 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.relation.ispartofseriesProceedings of the eighth ACM international conference on Multimediaen
dc.rightsYen
dc.subjectComputer Scienceen
dc.titleNovel components for supporting adaptivity in education systems - model-based integration approachen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/owconlan
dc.identifier.rssurihttp://portal.acm.org/ft_gateway.cfm?id=376509&type=pdf&coll=portal&dl=ACM&CFID=3182991&CFTOKEN=34541181


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