A hybrid language understanding approach for robust selection of tutoring goals

Carolyn P. Rosé, Dumisizwe Bhembe, Antonio Roque, Stephanie Siler, Ramesh Srivastava, Kurt VanLehn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

In this paper we explore the problem of selecting appropriate Knowledge Construction Dialogues (KCDs) for the purpose of encouraging students to include important points in their qualitative physics explanations that are missing. We describe a hybrid symbolic/statistical approach developed in the context of the Why2 conceptual physics tutor (Vanlehn et al., 2002). Our preliminary results demonstrate that our hybrid approach outperforms both the symbolic approach and the statistical approach by themselves.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages552-561
Number of pages10
Volume2363
ISBN (Print)9783540437505
StatePublished - 2002
Externally publishedYes
Event6th International Conference on Intelligent Tutoring Systems, ITS 2002 - Biarritz, France
Duration: Jun 2 2002Jun 7 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2363
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Intelligent Tutoring Systems, ITS 2002
CountryFrance
CityBiarritz
Period6/2/026/7/02

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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