Selmanagić, AndréSimbeck, KatharinaMandausch, MartinHenning, Peter A.2023-01-132023-01-132022https://dl.gi.de/handle/20.500.12116/39920Adaptive learning environments that follow a competency-based learning approach require granular, domain-specific competency frameworks (models) for the continuous assessment of a learner’s knowledge and skills as well as for the subsequent personalization of instruction. This case-study describes the iterative creation process for a competency framework in the domain of Naïve Bayes classifiers, including the design principles that led to the framework and the tools used for making it publishable as linked, open data.encompetency frameworkscompetency modellingadaptive learninglinked dataopen datasemantic webText/Conference Paper10.18420/delfi2022-ws-31