Learning analytics and open learning modelling for professional competence development of firefighters and future healthcare leaders
Journal article, Peer reviewed
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Original versionCEUR Workshop Proceedings, 2016, 1601, 87-90.
One challenge faced by workplaces is having enough relevant data to support datadriven decision making related to the further education/training of their employees, to identify competence gaps within their work force, and to contribute to organisational learning. We are 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, health workers studying for a Masters in health leadership, and the on-the-job training of firefighters to study this challenge. The project builds on and extends ideas from the former EU-project Adapt-It, and on a learning analytics approach and an OLM developed in the EU NEXT-TELL project. This paper elaborates on our approach.