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Ai2 presents the TutorMoments framework for evaluating language-model decisions during math tutoring sessions, focusing on the balance between providing support and encouraging students to think for themselves. Initial results showed that clarifying this balance in instructions improves model performance, but does not eliminate differences between models or close the gap with human teaching.