Japanese / English

Detail of Publication

Text Language Japanese
Authors Koichi Kise, Olivier Augereau, Charles Lima Sanches, Hiroki Fujiyoshi, Ayano Okoso, Kento Yamada, Kai Kunze, Shoya Ishimaru, Andreas Dengel
Title Analysis of Reading Activities by Using Various Sensors
Journal JSiSE Research Report
Vol. 32
No. 2
Pages pp.53-60
Location 長野県松本市
Reviewed or not Not reviewed
Month & Year July 2017
Abstract Most of the current e-learning systems rely on shallow sensing of learners such as achievement tests and log of usage of the systems. This poses a limitation to know internal states of learners such as confidence and the level of knowledge. To solve this problem, we propose to employ deeper sensing by using eye trackers, EOG, EEG, motion and physiological sensors. As tasks, we consider learning of English and Japanese. The sensing technologies described in this report includes low level estimations (the number of read words, the period of reading), document type recognition and identification of read words, as well as high level estimations about confidence of answers, the English ability in terms of TOEIC scores, unknown words encountered while reading English documents, and subjective and objective level of understanding of Japanese. Such functionality helps learners and teachers to know the internal states.
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