Generating multiple choice questions from ontologies: Lessons learnt
Tahani Alsubait, Bijan Parsia, Ulrike Sattler · 2014
Abstract. Ontologies with potential educational value are available in di↵erent domains. However, it is still unclear how such ontologies can be exploited to generate useful instructional content, e.g., assessment questions. In this paper, we present an approach to automatically gen-erate multiple-choice questions from OWL ontologies. We describe a psychologically-plausible theory to control the diculty of questions. Our contributions include designing a protocol to evaluate the characteristics of the generated questions, in particular, question diculty. We report on our experience on generating questions from ontologies and present promising results of evaluating our diculty-control theory. 1