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dc.contributor.authorHernando, Manuel
dc.contributor.authorGuzman-de-los-Riscos, Eduardo Francisco 
dc.contributor.authorConejo-Muñoz, Ricardo Jose 
dc.date.accessioned2013-07-22T10:56:43Z
dc.date.available2013-07-22T10:56:43Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10630/5646
dc.description.abstractIn this paper, a new data-driven model to measure procedural knowledge is described. The model is based on Item Response Theory. The main idea behind this new model is to establish an analogy between the testing and the problem solving environment. For this purpose, we model each problem (or exercise) solution path as a directed graph where nodes are states of the problem and edges, transitions between states (i.e. the actions accomplished by the student). We can match this model with testing by seeing each node as a question and each edge as choices within the questions.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectResolución de problemas - Proceso de datoses_ES
dc.subject.otherProblem solving environmentses_ES
dc.subject.otherStudent modelinges_ES
dc.subject.otherProcedural knowledge estimatees_ES
dc.subject.otherItem Response Theoryes_ES
dc.titleMeasuring Procedural Knowledge in Problem Solving Environments with Item Response Theoryes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES


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