Dialogue Management for Embedded Training

Abigail S. Gertner, Brant A. Cheikes, and Lisa A. Haverty

We are developing an embedded training system to teach students to use complex software applications. Our tutor reasons strategically about its pedagogical plans. It uses a discourse model to communicate with the student and to guide its strategic decision making. We are developing the tutor using the Collagen platform for collaborative agent management, which provides a plan representation language, plan recognition capabilities, and a discourse model. Our embedded training system uses instrumentation software we have developed to allow Collagen to communicate with the application the student is learning. It also includes a student model to assess the state of the student’s domain knowledge. In this paper we discuss the need for dialogue in a strategic embedded training system. We then describe the system architecture and present an example of a possible training scenario.

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