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. 2020 Jun 10:2020:4837291.
doi: 10.1155/2020/4837291. eCollection 2020.

The EEG-Based Attention Analysis in Multimedia m-Learning

Dan Ni  1 , Shuo Wang  1 , Guocheng Liu  1
Affiliations
Free PMC article

The EEG-Based Attention Analysis in Multimedia m-Learning

Dan Ni et al. Comput Math Methods Med. .
Free PMC article

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.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
MindWave mobile headset.
Figure 2
Figure 2
Attention data calculated by the chip's algorithm.
Figure 3
Figure 3
EEG measurement process. The participant was being tested while using an iPad.
See this image and copyright information in PMC

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