Lattice-based approach to building templates for natural language understanding in intelligent tutoring systems

Authors:
Shrenik Devasani;Gregory Aist;Stephen B. Blessing;Stephen Gilbert
Affiliations:
VRAC, Iowa State University, Ames, IA;VRAC, Iowa State University, Ames, IA;University of Tampa, Tampa, FL;VRAC, Iowa State University, Ames, IA
Venue:
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Year:
2011

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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.