The EEG-Based Attention Analysis in Multimedia m-Learning
Joint Authors
Ni, Dan
Wang, Shuo
Liu, Guocheng
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In recent years, research on brain-computer interfaces has been increasing in the field of education, and mobile learning has become a very important way of learning.
In this study, EEG experiment of a group of iPad-based mobile learners was conducted through algorithm optimization on the TGAM chip.
Under the three learning media (text, text + graphic, and video), the researchers analyzed the difference in learners’ attention.
The study found no significant difference in attention in different media, but learners using text media had the highest attention value.
Later, the researchers studied the attention of learners with different learning styles and found that active and reflective learners’ attention exhibited significant differences when using video media to learn.
American Psychological Association (APA)
Ni, Dan& Wang, Shuo& Liu, Guocheng. 2020. The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139451
Modern Language Association (MLA)
Ni, Dan…[et al.]. The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139451
American Medical Association (AMA)
Ni, Dan& Wang, Shuo& Liu, Guocheng. The EEG-Based Attention Analysis in Multimedia m-Learning. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139451
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139451