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Mills, Caitlin; D'Mello, Sidney – International Educational Data Mining Society, 2015
This paper reports the results from a sensor-free detector of mind wandering during an online reading task. Features consisted of reading behaviors (e.g., reading time) and textual features (e.g., level of difficulty) extracted from self-paced reading log files. Supervised machine learning was applied to two datasets in order to predict if…
Descriptors: Reading, Identification, Attention, Reading Rate