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Representing Expert Knowledge for Instructional System Design: A Case Study

This paper describes the process by which an AI knowledge engineering technique was used for performing knowledge acquisition within the context of Instructional System Design. The method is a type of cognitive task analysis in which conceptual graphs are developed using several complementary knowledge acquisition methods. The graphs can be used to explicitly represent a variety of knowledge types including semantic, rule, and implicit knowledge. We outline the process by which we applied the method to represent expert knowledge for instructional design in the domain of engineering mechanics, and describe modifications and lessons learned from the application.