dc.contributor.advisor | Wade, Vincent | |
dc.contributor.author | O'Keefe, Ian | |
dc.date.accessioned | 2019-11-14T11:23:15Z | |
dc.date.available | 2019-11-14T11:23:15Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Ian O'Keefe, 'Adaptive composition of personalised learning activities', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012, pp 410 | |
dc.identifier.other | THESIS 9952 | |
dc.identifier.uri | http://hdl.handle.net/2262/90501 | |
dc.description.abstract | eLearning 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.format | 1 volume | |
dc.language.iso | en | |
dc.publisher | Trinity College (Dublin, Ireland). School of Computer Science & Statistics | |
dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15336252 | |
dc.subject | Computer Science & Statistics, Ph.D. | |
dc.subject | Ph.D. Trinity College Dublin. | |
dc.title | Adaptive composition of personalised learning activities | |
dc.type | thesis | |
dc.type.supercollection | thesis_dissertations | |
dc.type.supercollection | refereed_publications | |
dc.type.qualificationlevel | Doctoral | |
dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
dc.rights.ecaccessrights | openAccess | |
dc.format.extentpagination | pp 410 | |
dc.description.note | TARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |