期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2013
卷号：8
期号：6
页码：55-61
语种：English
出版社：Kassel University Press
摘要：People working as groups, collaborating, rather than people working individually, has unquestionably helped them develop and make accomplishments beyond our imagination. It is quite common to believe that human beings have an inner need to act as social beings. In computer science and particularly in intelligent tutoring systems, the related scientific literature enhances the conviction that even in learning, humans as students may improve the way they learn when working in groups and being in clusters. In this paper we present the information theoretic clustering built up in the context of student collaboration. Collaborative student groups are created with respect to the corresponding user models.
关键词：information theoretic learning; intelligent tutoring systems; multiple language learning; user clustering
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