Using EEG in Knowledge Tracing

نویسندگان

  • Yanbo Xu
  • Kai-min Chang
  • Yueran Yuan
  • Jack Mostow
چکیده

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.

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تاریخ انتشار 2014