An Intelligent Tutoring Framework for Simulation-Based Training

Abstract

Truly generic, reusable intelligent tutoring software frameworks remain elusive. As part of our effort to develop ITSs for simulations, a software framework with minimal dependencies on domain specifics has emerged. Herein, we describe this framework, its functionality, components, configurability, and use of natural language generation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
AD1157971

Entities

People

  • Ashish Karnavat
  • Daniel Auerbach
  • Dave Gomboc
  • H. Clifford Lane
  • Mark Core
  • Milton Rosenberg

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Computer Science
  • Computers
  • Delphi Method
  • Education
  • Expert Systems
  • Language
  • Learning
  • Military Acquisition
  • Models
  • Natural Languages
  • New Jersey
  • Simulations
  • Simulators
  • Students
  • Template Patterns
  • Training
  • United States

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Software Engineering.
  • Systems Analysis and Design