Approximate Modelling of the Multi-dimensional Learner

  • Rafael Morales
  • Nicolas van Labeke
  • Paul Brna
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4053)


This paper describes the design of the learner modelling component of the LeActiveMath system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-cognition as upper layers. A concept map per layer defines each layer’s elements and internal structure, and beliefs are associated to the applications of elements in upper-layers to elements in lower-layers. Beliefs are represented using belief functions and organised in a network constructed as the composition of all layers’ concept maps, which is used for propagation of evidence.


Mass Function Belief Function Subject Domain Competency Level Mathematical Competency 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rafael Morales
    • 1
  • Nicolas van Labeke
    • 1
  • Paul Brna
    • 1
  1. 1.The SCRE CentreUniversity of GlasgowGlasgowUnited Kingdom

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