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Europe and MENA Cooperation Advances in Information and Communication TechnologiesToward Incorporating Bio-signals in Online Education Case of Assessing Student Attention with BCI

Europe and MENA Cooperation Advances in Information and Communication Technologies: Toward... [Bio-signals acquired with sensors technologies are increasingly gaining attention beyond the classical medical domain, into a new paradigms such education. Attention is bio signal that can be measured and checked by Brain Computer Interface technology (BCI) through alpha wave (8–13 Hz) and beta wave (14–30 Hz) frequency measurement. Attention and learning are very dependent on one another. Student with attention deficits often have learning disabilities. According to many teachers’ and professional researchers, it has been found that the student’s attention is reducing. This paper talks about how to assess student attention in online education, during learning process students’ attention is controlled by attention assessment system EEG based on (BCI). Attention Data are stored in database, and used for Signal processing algorithms to understand student knowledge advancement.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Europe and MENA Cooperation Advances in Information and Communication TechnologiesToward Incorporating Bio-signals in Online Education Case of Assessing Student Attention with BCI

Part of the Advances in Intelligent Systems and Computing Book Series (volume 520)
Editors: Rocha, Álvaro; Serrhini, Mohammed; Felgueiras, Carlos

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References (16)

Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2017
ISBN
978-3-319-46567-8
Pages
135 –146
DOI
10.1007/978-3-319-46568-5_14
Publisher site
See Chapter on Publisher Site

Abstract

[Bio-signals acquired with sensors technologies are increasingly gaining attention beyond the classical medical domain, into a new paradigms such education. Attention is bio signal that can be measured and checked by Brain Computer Interface technology (BCI) through alpha wave (8–13 Hz) and beta wave (14–30 Hz) frequency measurement. Attention and learning are very dependent on one another. Student with attention deficits often have learning disabilities. According to many teachers’ and professional researchers, it has been found that the student’s attention is reducing. This paper talks about how to assess student attention in online education, during learning process students’ attention is controlled by attention assessment system EEG based on (BCI). Attention Data are stored in database, and used for Signal processing algorithms to understand student knowledge advancement.]

Published: Sep 23, 2016

Keywords: Online education; BCI; Attention in education; Bio signals; Human machine interaction; Mind brain; Education

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