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

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dc.contributor.authorDahlmeyer, Matthias Patrick
dc.date.accessioned2021-01-06T06:15:25Z
dc.date.available2021-01-06T06:15:25Z
dc.date.issued2020
dc.description.abstractFollowing 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 networken
dc.identifier.doi10.18420/delfi2020-ws-108
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34591
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.z
dc.relation.ispartofProceedings of DELFI Workshops 2020
dc.relation.ispartofseriesDELFI
dc.subjectintegrative competence management
dc.subjectcompetence modelling
dc.subjectrepresentation syntax
dc.subjecttaxonomy
dc.subjectmechanical engineering
dc.titleTaxonomic Competence Modelling – Observations from a Hands-on Study and Implications for Modelling Strategiesen
dc.typeText/Conference Paper
gi.citation.publisherPlaceBonn
gi.conference.date14.-17. September 2020
gi.conference.locationonline
gi.conference.sessiontitleDELFI: Workshop
gi.document.qualitydigidoc

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