Competency comparison relations for recommendation in technology enhanced learning scenarios [r-libre/465]

Paquette, Gilbert, Rogozan, Delia et Marino, Olga (2012). Competency comparison relations for recommendation in technology enhanced learning scenarios. Dans Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien et Santos, Olga C. (dir.), Proceedings of the 2nd Workshop on Recommender Systems in Technology Enhanced Learning, vol. 896 (p. 23-34). Aachen, Allemagne : CEUR Workshop Proceedings.

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Catégorie de document :	Communications dans des actes de congrès/colloques
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	In this paper, we address the problem of competency comparison, providing some heuristics to help match the competencies of users with those involved in task-based scenario components (actors, tasks, resources). Competencies are defined according to a structured competency model based on a domain ontology. We provide a context for recommendation through a learning scenario model. The approach has been implemented by extending an ontologydriven system called TELOS. It has been tested with a learning unit where these comparison relations are used to provide recommendations to users involved in a technology enhanced learning scenario.
Adresse de la version officielle :	http://ceur-ws.org/Vol-896/paper2.pdf
Déposant:	Paquette, Gilbert
Responsable :	Gilbert Paquette
Dépôt :	03 nov. 2014 22:53
Dernière modification :	13 avr. 2016 19:29

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