We analyzed unexpected student responses to a natural language (NL) ITS to determine if improved feedback could be beneficial. Our analysis of a corpus of ITS-student dialogues suggests that unexpected responses represent learning opportunities. We outline our plans for testing feedback appropriate to subclassifications of these responses.
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