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Relations of attention and meditation level with learning in engineering education

机译:工程教育中注意力和冥想水平与学习的关系

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Neurons use electricity in order to communicate to each other. Due to numerous signals sent by neurons, there are oodles of electrical activity in the brain. Sensitive equipment like electroencephalogram (EEG) biosensor perceives the brainwaves emanated from neurons. Beta waves are responsible for problem solving or decision making and associated with attention. Alpha waves are associated with now and meditation. Neurosky EEG biosensor perceives the brainwaves and transforms these brainwaves into attention and meditation values. In this study, Neurosky EEG biosensor is used for measuring the attention and meditation levels of students. A program is developed in C# medium. The developed program records raw brainwave data, attention and meditation average while the students are studying. As the attention and meditation levels are high, the students learn the subjects in the course. If predetermined meditation and attention level are not caught, the developed program does not give permission to pass to another subject. Because of that the students have less meditation and attention average than the predetermined value; they get fewer grades in the exam.
机译:神经元使用电来相互交流。由于神经元发出的许多信号,大脑中存在大量的电活动。诸如脑电图(EEG)生物传感器之类的敏感设备可以感知神经元发出的脑电波。 Beta Wave负责解决问题或做出决策,并引起关注。阿尔法波与现在和冥想有关。 Neurosky EEG生物传感器感知脑电波并将这些脑电波转换为注意力和冥想值。在这项研究中,Neurosky脑电生物传感器用于测量学生的注意力和冥想水平。在C#介质中开发了一个程序。开发的程序记录学生学习期间的原始脑电波数据,注意力和冥想平均值。由于注意力和冥想水平很高,学生可以在课程中学习这些主题。如果未获得预定的冥想和注意力水平,则开发的程序不会授予传递给其他主题的权限。因此,学生的冥想和注意力平均水平低于预定值;他们在考试中获得的分数更少。

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