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dc.contributor.advisorWade, Vincent
dc.contributor.authorO'Keefe, Ian
dc.date.accessioned2019-11-14T11:23:15Z
dc.date.available2019-11-14T11:23:15Z
dc.date.issued2012
dc.identifier.citationIan O'Keefe, 'Adaptive composition of personalised learning activities', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012, pp 410
dc.identifier.otherTHESIS 9952
dc.identifier.urihttp://hdl.handle.net/2262/90501
dc.description.abstracteLearning practitioners are increasingly adopting more activity based approaches to online learning, as they move away from more traditional content centric approaches in an effort to provide their learners with more engaging and effective learning. This trend can also be seen as part of the wider evolution of the internet from a content delivery platform to a more collaborative and creative environment.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15336252
dc.subjectComputer Science & Statistics, Ph.D.
dc.subjectPh.D. Trinity College Dublin.
dc.titleAdaptive composition of personalised learning activities
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 410
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie


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