Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving

  • Kasia Muldner
  • Cristina Conati
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3538)


We present a computational framework designed to provide adaptive support aimed at triggering learning from problem-solving activities in the presence of worked-out examples. The key to the framework’s ability to provide this support is a user model that exploits a novel classification of similarity to infer the impact of a particular example on a given student’s metacognitive behaviors and subsequent learning.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Kasia Muldner
    • 1
  • Cristina Conati
    • 1
  1. 1.Department of Computer ScienceUniversity of British ColumbiaVancouverCanada

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