EEG cognition detection to support aptitude-treatment interaction in E-learning platforms

Othmar Othmar Mwambe, Eiji Kamioka

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

E-learning platforms have emerged and played a crucial role in knowledge sharing and dissemination of information at large. However, an optimal knowledge acquisition in e-learning platforms is still a challenge due to poor interactive learning environment. To address that challenge, in this study a correlation between visual spatial attention, learners' motivation states and long-term memory during learning process has been investigated through learners' cognition detection based on their metacognitive experiences by using electroencephalogram (EEG). The obtained results show strong correlation between visual spatial attention, motivation states and long-term memory. Based on the obtained results, this paper proposes brain-computer interface based approach to assist adaptation of learners' motivation states in e-learning platforms. The study paves a way for the aptitude-treatment interaction monitoring and involvement of deaf individuals in e-learning platforms.

本文言語English
ホスト出版物のタイトルProceedings - 12th SEATUC Symposium, SEATUC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538650943
DOI
出版ステータスPublished - 2018 3
イベント12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018 - Yogyakarta, Indonesia
継続期間: 2018 3 122018 3 13

出版物シリーズ

名前Proceedings - 12th SEATUC Symposium, SEATUC 2018

Conference

Conference12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018
国/地域Indonesia
CityYogyakarta
Period18/3/1218/3/13

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • エネルギー工学および電力技術
  • 産業および生産工学
  • 制御と最適化

フィンガープリント

「EEG cognition detection to support aptitude-treatment interaction in E-learning platforms」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル