The School of Information Engineering, Jilin Engineering Normal University, Changchun, 130000 Jilin, China.
Comput Math Methods Med. 2020 Jun 10;2020:4837291. doi: 10.1155/2020/4837291. eCollection 2020.
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.
近年来，脑机接口研究在教育领域不断增加，移动学习已经成为一种非常重要的学习方式。在这项研究中，通过对 TGAM 芯片的算法优化，对一组基于 iPad 的移动学习者进行了 EEG 实验。在三种学习媒体（文本、文本+图形和视频）下，研究人员分析了学习者注意力的差异。研究发现，不同媒体之间的注意力没有显著差异，但使用文本媒体的学习者的注意力值最高。后来，研究人员研究了具有不同学习风格的学习者的注意力，发现使用视频媒体学习时，主动型和反思型学习者的注意力表现出显著差异。
