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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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
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