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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/65743

Title: Dynamic Contextual Usage Metadata for Learning Resource Reuse in Adaptive Environments
Other Titles: 12th IEEE International Conference on Information Reuse and Integration (IRI)
Author: WADE, VINCENT PATRICK
WALSH, EDDIE
WALSH, EDMOND
CONLAN, OWEN
Sponsor: Science Foundation Ireland
Author's Homepage: http://people.tcd.ie/walshe8
http://people.tcd.ie/vwade
http://people.tcd.ie/ewalsh10
http://people.tcd.ie/owconlan
Keywords: Learning Resources
Adaptivity
Usage Metadata
Reuse
Issue Date: 2011
Citation: Eddie Walsh, Rachael Rafter, Owen Conlan and Vincent Wade, Dynamic Contextual Usage Metadata for Learning Resource Reuse in Adaptive Environments, 12th IEEE International Conference on Information Reuse and Integration (IRI), Las Vegas, Nevada, USA, 3-5 August 2011, 2011, 474 - 479
Abstract: Drawing on the experiences and context of others who have already used a particular resource can greatly facili- tate that resource’s reuse. Such reuse is essential when the resources in question are digital learning assets, services and models which are expensive both in terms of time and monetary expenditure to develop and use. When these re- sources are deployed in personalised settings, where each user may be delivered a tailored sequence of resources that uniquely suits their particular needs, gathering and feder- ating a rich view of how these resources are being used be- comes important. In this article we describe an approach to facilitating the federating of contextual usage data, which is compiled over the lifecycle of a resource. Given that this data is likely to come from a range of different sources, our approach will need to be able to cope with the high level of heterogeneity expected in terms of its structure, syntax and semantics. We describe how such data may be used to sup- port users in assessing the value of learning resources and facilitating their appropriate reuse.
Description: PUBLISHED
Las Vegas, Nevada, USA
URI: http://hdl.handle.net/2262/65743
Appears in Collections:Computer Science (Scholarly Publications)

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