Competency Comparison Relations for Recommendation in Technology Enhanced Learning Scenarios.

Abstract

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.