A Natural Language Tutorial Dialogue System for Physics

Abstract

We describe the WHY2-ATLAS intelligent tutoring system for qualitative physics that interacts with students via natural language dialogue. We focus on the issue of analyzing and responding to multi-sentential explanations. We explore approaches for achieving a deeper understanding of these explanations and dialogue management approaches and strategies for providing appropriate feedback on them.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA520370

Entities

People

  • Kurt VanLehn
  • Maxim Makatchev
  • Pamela W. Jordan
  • Patricia Albacete
  • Umarani Pappuswamy

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Classification
  • Cognitive Science
  • Computer Languages
  • Computer Science
  • Dialogue Systems
  • Displacement
  • Grammars
  • Language
  • Linguistics
  • Machine Learning
  • Natural Language Processing
  • Natural Languages
  • Students
  • Systems Engineering
  • Time Intervals

Readers

  • Artificial Intelligence