文章基本信息

标题：Possibilistic networks for uncertainty knowledge processing in student diagnosis
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作者：Adina COCU
期刊名称：Annals of “Dunarea de Jos”
印刷版ISSN：1221-454X
出版年度：2006
卷号：2006
出版社：“Dunarea de Jos” University of Galati
摘要：In 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.
关键词：Qualitative uncertainty management, intelligent computer based learning system, possibilistic network, student diagnosis, student modeling.