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We present an innovative application of discourse processing concepts to educational technology. In our corpus analysis of peer learning dialogues, we found that initiative and initiative shifts are indicative of learning, and of learning-conducive episodes. We are incorporating this finding in KSC-PaL, the peer learning agent we have been developing. KSC-PaL will promote learning by encouraging shifts in task initiative.