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The EEG-Based Attention Analysis in Multimedia m-Learning

机译:多媒体M学习中基于脑电图的注意力分析

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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.
机译:近年来,教育领域的脑电脑界面研究已经增加,移动学习已成为一种非常重要的学习方式。在本研究中,通过TGAM芯片上的算法优化进行了一组基于iPad的移动学习者的EEG实验。在三个学习媒体(文本,文本+图形和视频)下,研究人员分析了学习者注意的差异。该研究发现不同媒体中注意力差异无关,但使用文本媒体的学习者具有最高的关注值。后来,研究人员用不同的学习方式研究了学习者的注意,发现在使用视频媒体学习时,积极和反思的学习者的注意力表现出显着差异。

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