Abstract
We describe a domain-independent authoring tool, ConceptGrid, that helps non-programmers develop intelligent tutoring systems (ITSs) that perform natural language processing. The approach involves the use of a lattice-style table-driven interface to build templates that describe a set of required concepts that are meant to be a part of a student’s response to a question, and a set of incorrect concepts that reflect incorrect understanding by the student. The tool also helps provide customized just-in-time feedback based on the concepts present or absent in the student’s response. This tool has been integrated and tested with a browser-based ITS authoring tool called xPST.
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Devasani, S., Aist, G., Blessing, S.B., Gilbert, S. (2011). Lattice-Based Approach to Building Templates for Natural Language Understanding in Intelligent Tutoring Systems. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_9
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DOI: https://doi.org/10.1007/978-3-642-21869-9_9
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