Competency Comparison Relations for Recommendationin Technology Enhanced Learning Scenarios

2nd Workshop on Recommender Systems in Technology Enhanced Learning 2012

Gilbert Paquette ; Delia Rogozan ; Olga MarinoCICE Research Chair

Others  :  http://ceur-ws.org/Vol-896/paper2.pdf
PID  :  43351

来源: CEUR

【 摘 要 】

In this paper, we address the problem of competency comparison, providing some heuristics to help match the competencies of users with thoseinvolved in task-based scenario components (actors, tasks, resources). Compe- tencies are defined according to a structured competency model based on a do- main ontology. We provide a context for recommendation through a learningscenario model. The approach has been implemented by extending an ontology- driven system called TELOS. It has been tested with a learning unit where thesecomparison relations are used to provide recommendations to users involved ina technology enhanced learning scenario.