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

dc.contributor.author Devasani, Shrenik
dc.contributor.author Aist, Gregory
dc.contributor.author Blessing, Stephen
dc.contributor.author Gilbert, Stephen
dc.contributor.author Gilbert, Stephen
dc.contributor.department Virtual Reality Applications Center
dc.contributor.department Psychology
dc.contributor.department Virtual Reality Applications Center
dc.date 2021-05-04T22:53:52.000
dc.date.accessioned 2021-08-15T02:11:06Z
dc.date.available 2021-08-15T02:11:06Z
dc.date.copyright Sat Jan 01 00:00:00 UTC 2011
dc.date.embargo 2021-05-04
dc.date.issued 2011-01-01
dc.description.abstract <p>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.</p>
dc.description.comments <p>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) <em>Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science</em>, vol 6738. Springer, Berlin, Heidelberg. The final authenticated version is available online at DOI: <a href="https://doi.org/10.1007/978-3-642-21869-9_9" target="_blank">10.1007/978-3-642-21869-9_9</a>. Posted with permission.</p>
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dc.identifier archive/lib.dr.iastate.edu/vrac_conf/1/
dc.identifier.articleid 1001
dc.identifier.contextkey 22786176
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath vrac_conf/1
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/3wxa5L0v
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/vrac_conf/1/2011_GilbertStephen_LatticeBased.pdf|||Fri Jan 14 18:03:26 UTC 2022
dc.source.uri 10.1007/978-3-642-21869-9_9
dc.subject.disciplines Cognitive Psychology
dc.subject.disciplines Communication
dc.subject.disciplines Human Factors Psychology
dc.subject.keywords natural language processing
dc.subject.keywords intelligent tutoring system
dc.subject.keywords authoring tool
dc.title Lattice-Based Approach to Building Templates for Natural Language Understanding in Intelligent Tutoring Systems
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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