Accession Number:

AD1157971

Title:

An Intelligent Tutoring Framework for Simulation-Based Training

Descriptive Note:

[Technical Report, Research Paper]

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES

Personal Author(s):

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

Report Date:

2008-01-01

Pagination or Media Count:

5

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.

Descriptors:

• artificial intelligence
• students
• delphi method
• simulations
• computer science
• training
• united states
• education
• simulators
• computers
• expert systems
• learning
• military acquisition
• models
• natural languages
• new jersey
• template patterns

Subject Categories:

• Cybernetics
• Linguistics

Distribution Statement:

[A, Approved For Public Release]