Publication | Closed Access
Automated Transformation of SWRL Rules into Multiple-Choice Questions
21
Citations
5
References
2011
Year
EngineeringEducationSwrl RulesSemanticsSemantic WebIntelligent Tutoring SystemNatural Language ProcessingIntelligent Tutoring SystemsInformation RetrievalComputational LinguisticsMultiple Choice QuestionsGrammarOntology LearningAutomated AssessmentWeb Ontology LanguageQuestion AnsweringLearning SciencesRule LanguageLearning AnalyticsComputer ScienceAutomated Knowledge AcquisitionAutomated ReasoningSoftware TestingRule-based SystemElectronic AssessmentLinguistics
Various strategies and techniques have been proposed for the generation of questions/answers tests in Intelligent Tutoring Systems by using OWL (Web Ontology Language) ontolo- gies. Currently there have been no known methods to utilize SWRL rules for this task. This paper presents a system and a set of strategies that can be used in order to automatically generate multiple choice questions from SWRL rules. The aim of the proposed framework is to support further research in the area and to be a testbed for the development of more advanced assessment techniques.
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