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Title: A Model for Competence Gap Analysis
Authors: Lofi, Christoph
Olmedilla, Daniel
Papapetrou, Odysseas
Siberski, Wolf
De Coi, Juri Luca
Koesling, Arne
Herder, Eelco
Keywords: competence
Issue Date: 2007
Citation: Proceedings of 3rd International Conference on Web Information Systems and Technologies (WEBIST)
Abstract: Modeling competences is an integral part of many Human Resource (HR) and e-Learning related activities. HR departments use competence descriptions to define requirements needed for performing specific tasks or jobs. The same competences are acquired by employees and applicants by e.g. experience or certifications. Typically, HR departments need to match such required and acquired competences in order to find suitable candidates. In e-Learning a similar situation arises. Curricula or training programmes need to describe prerequisites that must be fulfilled before joining and the competences that will be acquired after successful completion. This paper analyses the limitations and extends existing approaches for modeling competences in order to allow (semi-)automatic competence matching.
Appears in Collections:1. TENC: Publications and Preprints

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