Effects of the ISIS Recommender System for navigation support in Self-Organised Learning Networks

Using active learning to build adaptive questionnaire trees is the promising ap- proach to address the cold-start problem in recommender systems6. The per- formance of

We presented an ontology engineering methodology that proposes to (1) manu- ally specify and conceptualize the core ontology structure, (2) semi-automatically populates the ontology

To investigate differences with respect to learning activities and feedback on the simulator between users with high and lower metacognitive awareness (and thus

In this paper we pro- pose a novel recommendation technique that combines a fuzzy collaborative fil- tering algorithm with content based one to make better recommendation, using

A review of related work coming from the research strands of Adaptive Educational Hypermedia and Learning networks has been provided, with a particular emphasis on how it

It explains which collaborative filtering techniques we want to investigate and finally presents the experimental design for testing recommender systems in informal

Yet, the author believes that his approach has some future with (at first) researchers, teachers and students since (i) the need of using very small learning objects is now

• Users register and share a LO by providing a metadata description of it; some parts of the metadata can be automatically generated.. • The descriptions form a metadata repository