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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
Adlof, Suzanne; Frishkoff, Gwen; Dandy, Jennifer; Perfetti, Charles – Grantee Submission, 2016
Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, a.k.a. "frontier words" (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar. However,…
Descriptors: Semantics, Familiarity, Adults, Children

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