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

Othmar Othmar Mwambe, Eiji Kamioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 12th SEATUC Symposium, SEATUC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538650943
DOIs
Publication statusPublished - 2018 Mar 1
Event12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018 - Yogyakarta, Indonesia
Duration: 2018 Mar 122018 Mar 13

Publication series

NameProceedings - 12th SEATUC Symposium, SEATUC 2018

Conference

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

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Keywords

  • Aptitude-treatment interaction
  • Brain computer interfaces-BCI
  • Cognition
  • E-learning
  • Long-term memory
  • Metacognition
  • Motivation states
  • Visual spatial attention
  • Working Memory

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization

Cite this

Mwambe, O. O., & Kamioka, E. (2018). EEG cognition detection to support aptitude-treatment interaction in E-learning platforms. In Proceedings - 12th SEATUC Symposium, SEATUC 2018 [8788854] (Proceedings - 12th SEATUC Symposium, SEATUC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEATUC.2018.8788854