The Impact of Interpretation Problems on Tutorial Dialogue

Abstract

Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We describe an evaluation of an error recovery policy in the BEETLE II tutorial dialogue system and discuss how different types of interpretation problems affect learning gain and user satisfaction. In particular, the problems arising from student use of non-standard terminology appear to have negative consequences. We argue that existing strategies for dealing with terminology problems are insufficient and that improving such strategies is important in future ITS research.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2010
Accession Number
ADA525751

Entities

People

  • Gwendolyn Campbell
  • Johanna D. Moore
  • Myroslava O. Dzikovska
  • Natalie Steinhauser

Organizations

  • Naval Air Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Dialogue Systems
  • Education
  • Language
  • Learning
  • Linguistics
  • Natural Languages
  • Recovery
  • Standards
  • Students
  • Test And Evaluation

Readers

  • Artificial Intelligence
  • Systems Analysis and Design