The detection of the change in brain state during L2 English rhythm learning process using electroencephalography and English learning robot

从五年前开始，我就对日语学习者在英语学习过程中脑电变化的假设进行了研究。我们测量了学习者在做Gragam和本项目成员之一的中野教授修改的英语节奏教学材料时脑电的变化。结果表明，额叶（F3、F4和Fz区域）的θ节律的功率，即Fm θ，随着英语节奏的学习而显著增加。之后，学习者保持节奏，Fm θ的功率下降。从这些结果来看，我们可以用Fm θ功率的变化来检测大脑的学习过程，在本研究中，我们还确定了二语学习者对英语节奏的记忆时间。他们可以背上六个月。因此，英语节奏材料将学习者对英语节奏的记忆转移到了长时记忆中。在本项目中，我们开发了一个能提供最适合学习者状态的英语节奏学习材料的机器人。机器人总是选择最好的英语学习材料，适合学习者的状态。机器人由三部分组成。一个是脑电记录部分，记录脑电信号。的学习者。第二部分是脑电分析部分，对脑电进行分析;第三部分是控制部分，机器人可以根据学习者脑电的分析结果改变英语节奏材料。在本项目中，我们在Linux（FedoraCore 6）上开发了系统。我们检查系统是否正常工作。在该系统中，当学习者在大脑中诱发α节律时，当他们闭上眼睛时，提供的英语节奏材料可以改变。在演示中，当学习者诱发α节律时，向学习者展示的学习材料发生了变化。

Since five years ago, I have studied on the hypothesis that electroencephalogram (EEG) is changed during the learning of English for L2 Japanese learners. We measured the change in EEG when the learners do the English rhythm instruction materials, which Gragam has developed and Prof Nakano, one of the member in this project, has modified. In the result, the power of theta rhythm at the frontal part (F3, F4, and Fz regions), that is, Fm theta significantly increased with learning of English rhythm. After that, while learners kept the rhythm, the power of Fm theta decreased. From these results, it is suggest that we use the change in the power of Fm theta as a signal for detecting the learning process in the brain.In this research, we also make sure how long the L2 learners memorize the English rhythm. They could memorize it for six months. So, the English rhythm materials transfer the learners' memory on English rhythm to the long-term memory storage. In the project, we have developed the robot which provides the proper English rhythm learning materials which fit the learners' state best. The robot always selects the best English learning materials which fit the learners' states. The robot consists of the three parts. One is EEG record part which records EEG. of learners. The second part is EEG analysis part, which analyzes EEG, and the third is the control part, where the robot can change the English rhythm materials depending on the analytic results of learners' EEG. In the project, we have developed the system on Linux (FedoraCore6). We check whether the system acts correctly or not. In the system, when the learners induced alpha rhythm in brain, when they closed their eyes, the providing English rhythm material could be changed. In the demonstration, when the learners induce alpha rhythm, the learning materials which were shown to the learners were changed.