Title of article :
The EEG-Based Attention Analysis in Multimedia m-Learning
Author/Authors :
Ni, Dan School of Information Engineering - Jilin Engineering Normal University - Changchun - Jilin, China , Wang, Shuo School of Information Engineering - Jilin Engineering Normal University - Changchun - Jilin, China , Liu, Guocheng School of Information Engineering - Jilin Engineering Normal University - Changchun - Jilin, China
Pages :
9
From page :
1
To page :
9
Abstract :
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.
Keywords :
EEG , Multimedia , TGAM
Journal title :
Computational and Mathematical Methods in Medicine
Serial Year :
2020
Full Text URL :
Record number :
2613663
Link To Document :
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