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Domain Specific Knowledge Representation for an Intelligent Tutoring System to Teach Algebraic Reasoning

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Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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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.

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References

  1. Stacey, K., MacGregor, M.: Learning the Algebraic Method of Solving Problems. The Journal of Mathematical Behavior 18(2), 149–167 (1999)

    Article  Google Scholar 

  2. Croteau, E.A., Heffernan, N.T., Koedinger, K.R.: Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive Model. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 240–250. Springer, Heidelberg (2004)

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  3. Fridman, L.M.: Trinomial graphs (Russian). Mat. Modeli Povedeniya 3, 47–53 (1978)

    MathSciNet  MATH  Google Scholar 

  4. Mitrovic, A., Martin, B., Suraweera, P.: Intelligent tutors for all: the constraint based approach. IEEE Intelligent Systems 22(4), 38–45 (2007)

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© 2012 Springer-Verlag Berlin Heidelberg

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Arevalillo-Herráez, M., Arnau, D., González-Calero, J.A., Ayesh, A. (2012). Domain Specific Knowledge Representation for an Intelligent Tutoring System to Teach Algebraic Reasoning. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_95

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30949-6

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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