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Identifying the best network structure from a myriad of candidates is not an easy task, and we propose a supervised learning method for this task. We test the idea with an instance of learning student models from students’ responses to test items, because student models are very important for intelligent tutoring systems. The training data for the classifiers were simulated based on the expectation...
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