Domain specific knowledge representation for an intelligent tutoring system to teach algebraic reasoning

Miguel Arevalillo-Herráez*, David Arnau, José Antonio González-Calero, Aladdin Ayesh

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    6 Citations (Scopus)

    Abstract

    Translation of word problems into symbolic notation is one of the most challenging steps in learning the algebraic method. This paper describes a domain-specific knowledge representation mechanism to support Intelligent Tutoring Systems (ITS) which focus on this stage of the problem solving process. The description language proposed is based on the concept of a hypergraph and makes it possible to simultaneously a) represent all potential algebraic solutions to a given word problem; b) keep track of the student's actions; c) provide automatic remediation; and d) unequivocally determine the current state of the resolution process. An experimental evaluation with students at a public school supports the use of the ITS in practice.

    Original languageEnglish
    Title of host publicationIntelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings
    Pages630-631
    Number of pages2
    Volume7315
    DOIs
    Publication statusPublished - 14 Jun 2012
    Event11th International Conference on Intelligent Tutoring Systems, ITS 2012 - Chania, Crete, Greece
    Duration: 14 Jun 201218 Jun 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7315 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference11th International Conference on Intelligent Tutoring Systems, ITS 2012
    Country/TerritoryGreece
    CityChania, Crete
    Period14/06/1218/06/12

    Keywords

    • algebra
    • hypergraph
    • ITS
    • knowledge representation

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