Abstract
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.
This material is based upon work supported by the National Science Foundation under Grant No. 0310576.
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Brusilovsky, P., Sosnovsky, S., Shcherbinina, O. (2005). User Modeling in a Distributed E-Learning Architecture. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_50
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DOI: https://doi.org/10.1007/11527886_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27885-6
Online ISBN: 978-3-540-31878-1
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