Sign in
Author
|
Conference
|
Journal
|
Organization
|
Year
|
DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(7)
Adaptive System
Biological System Modeling
Dynamic Scheduling
Electronic Learning
Heterogeneous Expectations
Learning Resource
Life Cycle
Subscribe
Academic
Publications
Dynamic contextual usage metadata for learning resource reuse in adaptive environments
Dynamic contextual usage metadata for learning resource reuse in adaptive environments,10.1109/IRI.2011.6009594,Eddie Walsh,Rachael Rafter,Owen Conlan
Edit
Dynamic contextual usage metadata for learning resource reuse in adaptive environments
BibTex
|
RIS
|
RefWorks
Download
Eddie Walsh
,
Rachael Rafter
,
Owen Conlan
,
Vincent Wade
Drawing on the experiences and context of others who have already used a particular resource can greatly facilitate 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 resources are deployed in personalised settings, where each user may be delivered a tailored sequence of resources that uniquely suits their particular needs, gathering and federating a rich view of how these resources are being used becomes important. In this article we describe an approach to facilitating the federating of contextual usage data, which is compiled over the
life cycle
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 support users in assessing the value of learning resources and facilitating their appropriate reuse.
Conference:
Information Reuse and Integration - IRI
, 2011
DOI:
10.1109/IRI.2011.6009594
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
ieeexplore.ieee.org
)
(
ieeexplore.ieee.org
)
References
(10)
The design of AHA
(
Citations: 25
)
Paul De Bra
,
David Smits
,
Natalia Stash
Conference:
ACM Conference on Hypertext - Hypertext
, pp. 133-134, 2006
A survey of techniques for achieving metadata interoperability
(
Citations: 8
)
Bernhard Haslhofer
,
Wolfgang Klas
Journal:
ACM Computing Surveys - CSUR
, vol. 42, no. 2, pp. 1-37, 2010
Capture, Management, and Utilization of Lifecycle Information for Learning Resources
(
Citations: 4
)
Lasse Lehmann
,
Tomas Hildebrandt
,
Christoph Rensing
,
Ralf Steinmetz
Journal:
IEEE Transactions on Learning Technologies - TLT
, vol. 1, no. 1, pp. 75-87, 2008
Revising computer science learning objects from learner interaction data
(
Citations: 1
)
L. D. Miller
,
Leen-Kiat Soh
,
Beth Neilsen
,
Kevin Kupzyk
,
Ashok Samal
,
Erica Lam
,
Gwen Nugent
Published in 2011.
Attention Metadata: Collection and Management
(
Citations: 29
)
Jehad Najjar
,
Martin Wolpers
,
Erik Duval
Conference:
World Wide Web Conference Series - WWW