Using EEG to Improve Massive Open Online Courses Feedback Interaction

Unlike classroom education, immediate feedback from the student is less accessible in Massive Open Online Courses (MOOC). A new type of sensor for detecting students’ mental states is a single-channel EEG headset simple enough to use in MOOC. Using its signal from adults watching MOOC video clips in a pilot study, we trained and tested classifiers to detect when the student is confused while watching the course material. We found weak but abovechance performance for using EEG to distinguish when a student is confused or not. The classifier performed comparably to the human observers who monitored student body language and rated the students’ confusion levels. This pilot study shows promise for MOOC-deployable EEG devices being able to capture tutor relevant information.

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