An Intelligent Tutoring Architecture for Simulation-based Training

Dave Gomboc, H. Chad Lane, Mark Core, Ashish Karnavat, Milton Rosenberg

Truly generic and reusable intelligent tutoring software architectures have remained elusive. As part of our effort to develop tutoring systems for simulations of ill-defined domains, a software framework has emerged with minimal dependencies on any domain-specific details, except for the data used to instantiate the framework for a particular application. Here, we describe this framework, its functionality, underlying representations, configurability, use of natural language generation, and do so in the context of other approaches to generic ITS architectures.

Subjects: 1.3 Computer-Aided Education; 2. Architectures

Submitted: Feb 25, 2008


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