Title :
Ontology-based interface adaptivity in Web-based learning systems
Author :
Peñarrubia, Arturo ; Fernández-Caballero, Antonio ; González, Pascual ; Botella, Federico ; Grau, Antonio ; Martínez, Oscar
Author_Institution :
Instituto de Investigacion en Informatica de Albacete, Univ. de Castilla-La Mancha, Albacete, Spain
fDate :
30 Aug.-1 Sept. 2004
Abstract :
Along this document, we expose how user interface adaptivity principles may contribute to improve present Web learning systems. If we are able to establish some student features, based on the documents he has consulted, we can easily guide him through our Web site. In order to collect that information, the Web site considers the metadata associated with each document. Once this information has been obtained, the interface recommends the site documents that are the most tailored to the student´s interests. Our proposal consists in mixing the main ideas inherent to user profiling, semantic Web, metadata, and ontologies. The framework supporting the initiative is also introduced in this paper.
Keywords :
computer aided instruction; information filtering; meta data; ontologies (artificial intelligence); semantic Web; user interfaces; Web-based learning systems; metadata; ontology-based interface adaptivity; semantic Web; site document recommendation; user interface adaptivity; user profiling; Guidelines; Human computer interaction; Laboratories; Learning systems; Navigation; Ontologies; Operations research; Proposals; Software engineering; User interfaces;
Conference_Titel :
Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
Print_ISBN :
0-7695-2181-9
DOI :
10.1109/ICALT.2004.1357452