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
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