The heart of connection: hypermedia unified by transclusion
Communications of the ACM
Personally tailored teaching in WHURLE using conditional transclusion
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
User Modeling and User-Adapted Interaction
CHEOPS: Adaptive Hypermedia on World Wide Web
IDMS '97 Proceedings of the 4th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services
Technical note: user modelling, and adaptive hypermedia frameworks for education
The New Review of Hypermedia and Multimedia - Hypermedia and the world wide web
"Pluggable" user models for adaptive hypermedia in education
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Reappraising cognitive styles in adaptive web applications
Proceedings of the 15th international conference on World Wide Web
Interoperability between AEH user models
Proceedings of the joint international workshop on Adaptivity, personalization & the semantic web
Real users, real results: examining the limitations of learning styles within AEH
Proceedings of the eighteenth conference on Hypertext and hypermedia
Real users, real results: examining the limitations of learning styles within AEH
ACM SIGWEB Newsletter
Recommendations based on semantically enriched museum collections
Web Semantics: Science, Services and Agents on the World Wide Web
FNOVA: FERMAT and Joomla fusion
EuroIMSA '08 Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications
Hi-index | 0.00 |
Web-based distance learning is becoming increasingly prevalent as the Internet permeates every aspect of our culture, and many educational content management systems are now in use on the web. However, learners' experiences of these systems are almost invariably static, with information being delivered regardless of their background or knowledge. Due to variation between learners', it is suggested that these web-based distance-learning systems would benefit from the capability of adapting their content to meet individual needs. To effectively implement this adaptation of educational material, we require a user model that supplies the system with information about the learners using the system, such as their backgrounds, knowledge, interests and learning styles. This paper focuses on presenting a user model that combines the advantages of two techniques (overlay and stereotyping) in a way that provides the system with the ability to deliver information that is fully informed by the requirements of individual users.