Development and deployment of a large-scale dialog-based intelligent tutoring system

  • Shazia Afzal
  • , Tejas Indulal Dhamecha
  • , Nirmal Mukhi
  • , Renuka Sindhgatta
  • , Smit Marvaniya
  • , Matthew Ventura
  • , Jessica Yarbro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Citations (Scopus)

Abstract

There are significant challenges involved in the design and implementation of a dialogbased tutoring system (DBT) ranging from domain engineering to natural language classification and eventually instantiating an adaptive, personalized dialog strategy. These issues are magnified when implementing such a system at scale and across domains. In this paper, we describe and reflect on the design, methods, decisions and assessments that led to the successful deployment of our AI driven DBT currently being used by several hundreds of college level students for practice and selfregulated study in diverse subjects like Sociology, Communications, and American Government.

Original languageEnglish
Title of host publicationIndustry Papers
PublisherAssociation for Computational Linguistics (ACL)
Pages114-121
Number of pages8
ISBN (Electronic)9781950737147
Publication statusPublished - 2019
Externally publishedYes
Event2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019 - Minneapolis, United States
Duration: 2 Jun 20197 Jun 2019

Publication series

NameNAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference
Volume2

Conference

Conference2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019
Country/TerritoryUnited States
CityMinneapolis
Period2/06/197/06/19

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