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Taxonomic Competence Modelling – Observations from a Hands-on Study and Implications for Modelling Strategies

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2020

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Gesellschaft für Informatik e.V.z

Zusammenfassung

Following previous postulations for a global, integrated competence management system, this paper belatedly publishes and evaluates reflections from a 2014 study of taxonomic competence modelling. Mechanical engineering master students explore modelling their recent bachelor program as a study project. Following a systematic methodology with typical elements of a competence syntax, they encounter significant problems of inconsistency in all aspects of their data. Their reflections showcase that taxonomies are not suitable for a decentrally maintained competence model, competence levels and categories should be avoided from the core structure of a model, and both key aspects of a syntax should be kept flexible in a semantic network

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Dahlmeyer, Matthias Patrick (2020): Taxonomic Competence Modelling – Observations from a Hands-on Study and Implications for Modelling Strategies. Proceedings of DELFI Workshops 2020. DOI: 10.18420/delfi2020-ws-108. Bonn: Gesellschaft für Informatik e.V.z. DELFI: Workshop. online. 14.-17. September 2020

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