Information retrieval on the web
ACM Computing Surveys (CSUR)
User Modeling and User-Adapted Interaction
Extendible Adaptive Hypermedia Courseware: Integrating Different Courses and Web Material
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
ELM-ART: An Intelligent Tutoring System on World Wide Web
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
WWW '03 Proceedings of the 12th international conference on World Wide Web
KnowledgeTree: a distributed architecture for adaptive e-learning
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Service-Oriented E-Learning Platforms: From Monolithic Systems to Flexible Services
IEEE Internet Computing
WMHAS model for improvement document classification
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
A web mining logical framework for heterogeneous biological ontology data
MCBC'08 Proceedings of the 9th WSEAS International Conference on Mathematics & Computers In Biology & Chemistry
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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.