Using EEG in Knowledge Tracing
Yanbo Xu, Kai-min Kevin Chang, Yueran Yuan, Jack Mostow · 2014
Knowledge tracing (KT) is widely used in Intelligent Tutoring Systems (ITS) to measure student learning. Inexpensive portable electroencephalography (EEG) devices are viable as a way to help detect a number of student mental states relevant to learning, e.g. engagement or attention. This paper reports a first attempt to improve KT estimates of the student’s hidden knowledge state by adding EEG-measured mental states as inputs. Values of learn, forget, guess and slip differ significantly for different EEG states.