Change characterizes complex-dynamic systems, including the practitioners' role and required knowledge. Almost all change in these systems requires training. Moreover, as change is expected to be ongoing, so too will training. GT-CBITS (Georgia Tech Case-Based Intelligent Tutoring System) is an architecture for an intelligent tutor designed to teach highly skilled practitioners in complex-dynamic systems. GT-CBITS uses a case-based teaching approach that allows the training curriculum to be easily extended. This paper discusses some of the capabilities of the tutor and presents an example implementation.
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