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Understanding how children perceive and interact with teachable agents (systems where children learn through teaching a synthetic character embedded in an intelligent tutoring system) can provide insight into the effects of social interaction on learning with intelligent tutoring systems. We describe results from a think-aloud study where children were instructed to narrate their experience teaching Stacy, an agent who can learn to solve linear equations with the student's help. We founddoi:10.1145/2207676.2207684 dblp:conf/chi/OganFMDMC12 fatcat:4ciehhtosfatznvniia56yuhoe