Domain Specific Knowledge Representation for an Intelligent Tutoring System to Teach Algebraic Reasoning
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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.
[1] Kaye Stacey,et al. Learning the Algebraic Method of Solving Problems , 1999 .
[2] Antonija Mitrovic,et al. Intelligent Tutors for All: The Constraint-Based Approach , 2007, IEEE Intelligent Systems.
[3] Neil T. Heffernan,et al. Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive Model , 2004, Intelligent Tutoring Systems.