Lattice-Based Approach to Building Templates for Natural Language Understanding in Intelligent Tutoring Systems
- Cite this paper as:
- 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
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.
Keywordsnatural language processing intelligent tutoring system authoring tool
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