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摘要: ADVISOR is a machine learning architecture for constructing intelligent tutoring systems (ITS). ADVISOR is able to automate some of the reasoning about how the student will probably perform, and all of the reasoning about which teaching action should be made in a particular context. The benefit of this approach is that it works by observing students using an ITS. By observing students, ADVISOR constructs a model of how a student will respond to a particular teaching action in a given situation. With this model, ADVISOR is able to experiment and determine a policy for presenting teaching actions that tries to achieve a customizable teaching goal.