Learning analytics and open learning modelling for professional competence development

Abstract

One challenge faced by workplaces is having enough relevant data to support data-driven decision making related to the further education/training of their employees, to identify competence gaps within their work force, and to contribute to organizational learning. We propose that data driven decision-making can be supported by the combination of competence mapping, collection of assessment and performance data from various sources, learning analytics of the data, and visualisation of the results in an open learner model (OLM). In the iComPAss project we work with two learning scenarios to study this challenge: health care workers studying for a Master in Organization and Leadership ; and the on-the-job training of firefighters. The project builds on, and extends, ideas from the former EU-project Adapt-It, and on a learning analytics approach and an OLM developed from the EU NEXT -TELL project. This paper elaborates on our approach.