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

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

File(s) available for this item:

PDF - Paquette_CompetencyComparison.pdf
Content : Published Version

Download

Item Type:	Papers in Conference Proceedings
Refereed:	Yes
Status:	Published
Abstract:	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.
Official URL:	http://ceur-ws.org/Vol-896/paper2.pdf
Depositor:	Paquette, Gilbert
Owner / Manager:	Gilbert Paquette
Deposited:	03 Nov 2014 22:53
Last Modified:	13 Apr 2016 19:29

Actions (login required)

RÉVISER