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A Public Toolkit and ITS Dataset for EEG

We present a data set collected since 2012 containing children’s EEG signals logged during their usage of Project LISTEN’s Reading Tutor. We also present EEG-ML, an integrated machine learning toolkit to preprocess EEG data, extract and select features, train and cross-validate classifiers to predict behavioral labels, and analyze their statistical reliability. To illustrate, we describe and evaluate a classifier to estimate a student’s amount of prior exposure to a given word. We make this dataset and toolkit publically available to help researchers explore how EEG might improve intelligent tutoring systems.