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dc.contributor.authorTosic, M.
dc.contributor.authorCubric, Marija
dc.date.accessioned2011-10-18T14:01:10Z
dc.date.available2011-10-18T14:01:10Z
dc.date.issued2009
dc.identifier.citationTosic , M & Cubric , M 2009 , SeMCQ – Protégé Plugin for Automatic Ontology-Driven Multiple Choice Question Tests Generation . in Procs of the 11th International Protege Conference . vol. 2009 , Stanford Center for Biomedical Informatics Research .
dc.identifier.otherPURE: 422137
dc.identifier.otherPURE UUID: cfc0fa06-4703-49bb-9a18-ca973c9ae22a
dc.identifier.otherdspace: 2299/4886
dc.identifier.urihttp://hdl.handle.net/2299/6710
dc.descriptionPaper can be found at: http://protege.stanford.edu/conference/2009/poster-session.html Copyright © 2010 Stanford Center for Biomedical Informatics Research
dc.description.abstractCreating fair and meaningful assessment strategy is one the most difficult areas for every educator. Objective (MCQ) testing has been extensively studied and evaluated as a method for formative and, to a lesser extent, summative assessment. While the objective tests need to be complemented by other assessment strategies in order to assess higher cognitive domains, they nonetheless provide important benefits that are directly addressing the student needs such as, providing prompt and frequent feedback (2008 UK National Students Survey [8]). Moreover, in its more advanced forms, such as Computer-Adaptive Testing, objective tests can “get closer to measuring skills and intelligence” [3]. However, creating a useful objective test is not only difficult but also very time-consuming, which prevents its more wide-spread adoption and use [1]. In this paper we are trying to address this problem, by providing a framework and a prototype of a Semantic Multiple Choice Questions (SeMCQ) generator for an arbitrary knowledge domain. The prototype is implemented as a Protégé plugin. In the following sections we describe the implementation details of the prototype as well as some areas of future work.en
dc.language.isoeng
dc.publisherStanford Center for Biomedical Informatics Research
dc.relation.ispartofProcs of the 11th International Protege Conference
dc.titleSeMCQ – Protégé Plugin for Automatic Ontology-Driven Multiple Choice Question Tests Generationen
dc.contributor.institutionLearning and Teaching Innovation Centre
dc.contributor.institutionDepartment of Management, Leadership and Organisation
dc.contributor.institutionSocial Sciences, Arts & Humanities Research Institute
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionCentre for Research on Management, Economy and Society
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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