Federico Cirett

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The study goal was to evaluate whether Electroencephalography (EEG) estimates of attention and cognitive workload captured as students solved math problems could be used to predict success or failure at solving the problems. Students (N = 16) solved a series of SAT math problems while wearing an EEG headset that generated estimates of sustained attention(More)
Problem solving was compared for English Learners and English Primary students who had used AnimalWatch, an algebra readiness ITS. Data records for word problems solved by students in both language groups were located and compared. Results indicated that English Learners were less likely to answer correctly, had more incorrect answer attempts, took longer(More)
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