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.
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Serrhini, M., Dargham, A. (2017). Toward Incorporating Bio-signals in Online Education Case of Assessing Student Attention with BCI. In: Rocha, Á., Serrhini, M., Felgueiras, C. (eds) Europe and MENA Cooperation Advances in Information and Communication Technologies. Advances in Intelligent Systems and Computing, vol 520. Springer, Cham. https://doi.org/10.1007/978-3-319-46568-5_14
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DOI: https://doi.org/10.1007/978-3-319-46568-5_14
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