Automating the modeling of learners' erroneous behaviors in model-tracing tutors

Luc Paquette, Jean François Lebeau, André Mayers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modeling learners is a fundamental part of intelligent tutoring systems. It allows tutors to provide personalized feedback and to assess the learners' mastery over a task domain. One aspect often overlooked is the modeling of erroneous behaviors that can be used to provide error specific feedback. This is especially true for model-tracing tutors that usually require erroneous procedural knowledge associated to each of the possible error. This process can be automated thanks to a task independent model describing the learners' erroneous behaviors. The model proposed in this paper is inspired by the Sierra theory of procedural error and is developed for ASTUS, an authoring framework for model-tracing tutors.

Original languageEnglish (US)
Title of host publicationUser Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings
Pages316-321
Number of pages6
DOIs
StatePublished - Jul 13 2012
Externally publishedYes
Event20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012 - Montreal, QC, Canada
Duration: Jul 16 2012Jul 20 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7379 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012
CountryCanada
CityMontreal, QC
Period7/16/127/20/12

Keywords

  • Erroneous behaviors
  • learner modeling
  • model-tracing tutors

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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