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Data Mining for Adding Adaptive Interventions to Exploratory and Open-Ended Environments

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User Modeling, Adaptation, and Personalization (UMAP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7379))

Abstract

Due to the open ended nature of the interaction with exploratory environments (EE) for learning, it is not trivial to add mechanisms for providing adaptive support to users. Our goal is to devise and evaluate a data mining approach for providing adaptive interventions that help users to achieve better task performance during the interaction with an EE.

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Kardan, S. (2012). Data Mining for Adding Adaptive Interventions to Exploratory and Open-Ended Environments. In: Masthoff, J., Mobasher, B., Desmarais, M.C., Nkambou, R. (eds) User Modeling, Adaptation, and Personalization. UMAP 2012. Lecture Notes in Computer Science, vol 7379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31454-4_37

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  • DOI: https://doi.org/10.1007/978-3-642-31454-4_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31453-7

  • Online ISBN: 978-3-642-31454-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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