Lattice-Based Approach to Building Templates for Natural Language Understanding in Intelligent Tutoring Systems

Date
2011-01-01
Authors
Devasani, Shrenik
Aist, Gregory
Blessing, Stephen
Gilbert, Stephen
Gilbert, Stephen
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Psychology
Organizational Unit
Journal Issue
Series
Department
Virtual Reality Applications CenterPsychologyVirtual Reality Applications Center
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.

Comments

This is a post-peer-review, pre-copyedit version of a proceeding published 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. The final authenticated version is available online at DOI: 10.1007/978-3-642-21869-9_9. Posted with permission.

Description
Keywords
Citation
DOI