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The EEG-Based Attention Analysis in Multimedia m-Learning.
Computational and Mathematical Methods in Medicine ( IF 2.809 ) Pub Date : 2020-06-10 , DOI: 10.1155/2020/4837291
Dan Ni 1 , Shuo Wang 1 , Guocheng Liu 1
Affiliation  

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.

中文翻译:

多媒体移动学习中基于脑电图的注意力分析。

近年来,在教育领域中对脑机接口的研究不断增加,而移动学习已成为一种非常重要的学习方式。在这项研究中,通过在TGAM芯片上进行算法优化,对一组基于iPad的移动学习器进行了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,在不同媒体上的注意力没有显着差异,但是使用文本媒体的学习者的注意力价值最高。后来,研究人员研究了不同学习方式的学习者的注意力,发现在使用视频媒体进行学习时,主动型和反思型学习者的注意力表现出显着差异。
更新日期:2020-06-10
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