Intelligent Instruction of Dynamic Decision Making Tasks
Final technical report 4 Apr 1998-31 Mar 2000,
UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES BEHAVIORAL TECHNOLOGY LABS
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Very many of the high-level decision tasks in both the military and private sector involve a complex problem situation changing over time and at least partially in response to the decision makers actions. Gaining proficiency in such tasks as tactical decision making, response to natural disasters, and hostage negotiation typically requires many years of training and experience. A simulation-based system, D3M Dynamic Discrete Decision Making, provides a relatively realistic environment in which to learn and practice managing such operations. The instructional system has the capacities 1 to demonstrate exercises previously worked by experts and issue those experts rationale as the exercise unfolds, 2 to adaptively produce practice exercises at a difficulty level appropriate to the individual learner, 3 to monitor the learners actions in relation to critical-condition specifications defined by task experts, and 4 to maintain the status of learning objectives achieved by the learner.
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