A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Towards an Intelligent Tutoring System Architecturethat Supports Remedial Tutoring
Artificial Intelligence Review
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Building a Recommender Agent for e-Learning Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
Taxonomy-driven computation of product recommendations
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Comprehensive personalized information access in an educational digital library
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
A recommender system for on-line course enrolment: an initial study
Proceedings of the 2007 ACM conference on Recommender systems
International Journal of Learning Technology
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
Social navigation support in a course recommendation system
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
The TAME project: towards improvement-oriented software environments
IEEE Transactions on Software Engineering
Hi-index | 0.00 |
This article describes the guidelines followed in the design of a framework for managing learning object repositories that can be applied to different domains. The main features of the framework are the engagement of the virtual learning community in authoring and maintenance tasks, along with the use of recommender system technology in order to provide personalised searching and retrieval features. This article mainly focuses on the recommendation tasks, which help to identify suitable resources for the students in the virtual learning community. The recommendation approach follows a cascade hybrid strategy that refines the decisions of a case-based recommender by using a collaborative one. The former provides resources that fit the current student profile and promote her learning process. The later includes in the retrieval process the opinion about the usefulness of the resources provided by other members of the virtual learning community.