EEG Helps Knowledge Tracing!
نویسندگان
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. In this paper, we combine such EEG measures with KT to improve estimates of the students’ hidden knowledge state. We propose two approaches to insert the EEG measured mental states into KT as a way of fitting parameters learn, forget, guess and slip specifically for the different mental states. Both approaches improve the original KT prediction, and one of them outperforms KT significantly.
منابع مشابه
Using EEG in Knowledge Tracing
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-...
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