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Download full textBouchet, Francois; Azevedo, Roger; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2012
Identification of student learning behaviors, especially those that characterize or distinguish students, can yield important insights for the design of adaptation and feedback mechanisms in Intelligent Tutoring Systems (ITS). In this paper, we analyze trace data to identify distinguishing patterns of behavior in a study of 51 college students…
Descriptors: Tutoring, Feedback (Response), Intelligent Tutoring Systems, Academic Achievement
