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dc.contributor.authorCocu, Adina
dc.date.accessioned2016-01-13T12:49:56Z
dc.date.available2016-01-13T12:49:56Z
dc.date.issued2006
dc.identifier.urihttp://10.11.10.50/xmlui/handle/123456789/3872
dc.descriptionThe Annals of "Dunarea de Jos" University of Galatien_US
dc.description.abstractIn this paper, a possibilistic network implementation for uncertain knowledge modeling of the diagnostic process is proposed as a means to achieve student diagnosis in intelligent tutoring system. This approach is proposed in the object oriented programming domain for diagnosis of students learning errors and misconception. In this expertise domain dependencies between data exist that are encoded in the structure of network. Also, it is available qualitative information about these data which are represented and interpreted with qualitative approach of possibility theory. The aim of student diagnosis system is to ensure an adapted support for the student and to sustain the student in personalized learning process and errors explanation.en_US
dc.language.isoenen_US
dc.publisher"Dunarea de Jos" University of Galatien_US
dc.subjectqualitative uncertainty managementen_US
dc.subjectintelligent computer based learning systemen_US
dc.subjectpossibilistic networken_US
dc.subjectstudent modelingen_US
dc.titlePossibilistic Networks for Uncertainy Knowledge Processing in Student Diagnosisen_US
dc.typeArticleen_US


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