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Download full textD'Mello, Sidney; Olney, Andrew; Person, Natalie – Journal of Educational Data Mining, 2010
We present a method to automatically detect collaborative patterns of student and tutor dialogue moves. The method identifies significant two-step excitatory transitions between dialogue moves, integrates the transitions into a directed graph representation, and generates and tests data-driven hypotheses from the directed graph. The method was…
Descriptors: Tutors, Interpersonal Communication, Discourse Analysis, Intelligent Tutoring Systems
