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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper focuses on how to choose optimal training examples for people learning to discriminate categories. The authors develop an optimal teacher model that selects training examples in order to minimize generalization error, assuming that people make classification decisions in accordance with the GCM, a widely used categorization model. They test their model with an experiment and find that the best teacher is one that assumes that people have a limited memory capacity that only allows them to retrieve a few previous examples to compare to a new item. This teacher chooses idealized training sets rather than representative ones.