Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping

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Resumen

This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objects of a domain of study, and set fuzzy-causal relationships among them. Objects are characterized as linguistic variables that are instantiated by linguistic terms; whereas relations are outlined by means of fuzzy-rule bases. So objects and relations are statements of qualitative knowledge that are measured in terms of nature and degrees of bias to reveal uncertainty. The representation of multiple perspectives of the learner is sketched through the topology of a cognitive map and the qualitative measures attached to objects and relationships. This approach was tested in an E-learning trial, its outcomes show the effectiveness of the learner model to enhance the apprenticeship of volunteers due to the successfully handle of uncertainty and multiple perspectives.

Idioma originalInglés
Título de la publicación alojadaFrontiers in Artificial Intelligence and Applications
EditorialIOS Press BV
Páginas283-290
Número de páginas8
Edición1
ISBN (versión impresa)9781607500285
DOI
EstadoPublicada - 2009

Serie de la publicación

NombreFrontiers in Artificial Intelligence and Applications
Número1
Volumen200
ISSN (versión impresa)0922-6389
ISSN (versión digital)1879-8314

Huella

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