A framework for distributed intelligent tutoring

This work addresses the need for learning environments that are easy to customize for different instructional uses and that can address a large number of students. The generation of web-based intelligent tutoring systems for different domains can help alleviate this need. In this report, we describe the development of an architecture for the generation of intelligent tutoring systems for various domains by interfacing with existing expert systems, and reusing the other tutoring components. We also describe how the architecture can be modified to run in a distributed environment, and discuss the benefits and limitations of our approach.