This paper is focused on user modeling and adaptation in distributed E-Learning systems. We describe here CUMULATE, a generic student modeling server developed for a distributed E-Learning architecture, KnowledgeTree. We also introduce a specific, topic-based knowledge modeling approach which has been implemented as an inference agent in CUMULATE and used in QuizGuide, an adaptive system that helps students select the most relevant self-assessment quizzes. We also discuss our attempts to evaluate this multi-level student modeling. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Brusilovsky, P., Sosnovsky, S., & Shcherbinina, O. (2005). User modeling in a distributed E-Learning architecture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3538 LNAI, pp. 387–391). Springer Verlag. https://doi.org/10.1007/11527886_50
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