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Nam, SungJin; Frishkoff, Gwen; Collins-Thompson, Kevyn – IEEE Transactions on Learning Technologies, 2018
In an intelligent tutoring system (ITS), it can be useful to know when a student has disengaged from a task and might benefit from a particular intervention. However, predicting disengagement on a trial-by-trial basis is a challenging problem, particularly in complex cognitive domains. In the present work, data-driven methods were used to address…
Descriptors: Intervention, Learner Engagement, Middle School Students, Vocabulary Development
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Kurby, Christopher A.; Magliano, Joseph P.; Dandotkar, Srikanth; Woehrle, James; Gilliam, Sara; McNamara, Danielle S. – Journal of Educational Computing Research, 2012
This study assessed whether and how self-explanation reading training, provided by iSTART (Interactive Strategy Training for Active Reading and Thinking), improves the effectiveness of comprehension processes. iSTART teaches students how to self-explain and which strategies will most effectively aid comprehension from moment-to-moment. We used…
Descriptors: Computer Assisted Testing, Federal Aid, Control Groups, Experimental Groups