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Interoperable Assessment Based on Competency Modelling
Abstract
The aim of this chapter is to illustrate some affordances of machine-processable competency statements. Such competency statements are supported by ontologies and taxonomies of competency. Machine processing can offer interoperable and reusable resources and applications that are pedagogically effective for e-learning and assessment. A competency statement which can be read, processed, and interpreted by machine contributes to the automatic generation of questions and offers a semantic structure using the Web Ontology Language (OWL) to express competencies for further processing. The generated questions are expressed in the IMS Question and Test Interoperability specification (IMS QTI) to enable interoperability.
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