Paper Info
Title
Dynamic content discovery, harvesting and delivery, from open corpus sources, for adaptive systems
Abstract
Personalised elearning is being heralded as one of the grand challenges of next generation learning systems, in particular, its ability to support greater effectiveness, efficiency and student empowerment. However, a key problem with such systems is their reliance on bespoke content developed for, and only used by, these systems. The challenge for adaptive systems in scalably supporting personalised elearning is its ability to source, harvest and deliver open corpus content to adaptive content services and personalised elearning systems. This paper examines the issues involved in implementing such an adaptive content service. The paper seeks to explore the accurate extraction of content requirements from the adaptive system, the sourcing and identification of suitable learning content, the harvesting and customisation of the content for delivery to adaptive elearning systems.
Year
DOI
Venue
2006
10.1007/11768012_67
AH
Keywords
Field
DocType
elearning system,bespoke content,personalised elearning system,personalised elearning,dynamic content discovery,content service,open corpus source,open corpus content,suitable learning content,adaptive system,content requirement,adaptive content service,dynamic content
Adaptability,Bespoke,Adaptive system,Computer science,Computer security,Hypermedia,Grand Challenges,Content management,Dynamic web page,Multimedia,Personalization,Distributed computing
Conference
Volume
ISSN
ISBN
4018
0302-9743
3-540-34696-1
Citations 
PageRank 
References 
2
1.61
8
Authors
2
Name
Order
Citations
PageRank
Séamus Lawless111130.18
Vincent Wade210614.94