A contingency analysis of LeActiveMath's learner model

Morales, Rafael; Van Labeke, Nicolas and Brna, Paul (2006). A contingency analysis of LeActiveMath's learner model. In: MICAI'06 - 5th Mexican International Conference on Artificial Intelligence, 13-17 Nov 2006, Apizaco, Mexico, Springer, pp. 208–217.

DOI: https://doi.org/10.1007/11925231_20


We analyse how a learner modelling engine that uses belief functions for evidence and belief representation, called xLM, reacts to different input information about the learner in terms of changes in the state of its beliefs and the decisions that it derives from them. The paper covers xLM induction of evidence with different strengths from the qualitative and quantitative properties of the input, the amount of indirect evidence derived from direct evidence, and differences in beliefs and decisions that result from interpreting different sequences of events simulating learners evolving in different directions. The results here presented substantiate our vision of xLM is a proof of existence for a generic and potentially comprehensive learner modelling subsystem that explicitly represents uncertainty, conflict and ignorance in beliefs. These are key properties of learner modelling engines in the bizarre world of open Web-based learning environments that rely on the content+metadata paradigm.

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  • Item ORO ID
  • 34581
  • Item Type
  • Conference or Workshop Item
  • ISSN
  • 0302-9743
  • Extra Information
  • MICAI 2006: Advances in Artificial Intelligence
    5th Mexican International Conference on Artificial Intelligence, Apizaco, Mexico, November 13-17, 2006. Proceedings
    Editors:Alexander Gelbukh, Carlos Alberto Reyes-Garcia
    Lecture Notes in Computer Science, Vol. 4293, 2006
    ISBN: 978-3-540-49026-5 (Print)
    ISBN: 978-3-540-49058-6 (Online)
    pp 208-217
  • Academic Unit or School
  • Institute of Educational Technology (IET)
  • Copyright Holders
  • © 2006 Springer-Verlag
  • Related URLs
  • Depositing User
  • Nicolas Van Labeke