Brainwave Acquisition Terminal Based on IoT Smart Sensor for English Listening Test

In our teaching, teachers cannot understand students’ learning situation deeply, they can only judge students’ mastery of English through usual homework situation and test scores, but this is not an accurate way of judging. In addition, the combination of the Internet of Things and sensors and their application in the teaching field has made preliminary progress, and the phenomenon of Internet of Things smart sensors being used in teaching is becoming more and more common. For this reason, this article proposes that the brainwaves of the students’ learning process can be sent to a remote server for persistent transmission through the Internet of Things. It also collects brainwave data to match the learning structure in the student management system and finally establishes a machine learning model for analyzing the student’s learning process to analyze the student’s learning situation. This article discusses and constructs a brain wave collection terminal based on the intelligent sensor of the Internet of Things for English listening test. Experiments have shown that the brainwave collection terminal in this article has achieved an accurate grasp of how students learn in the English listening test. Its accuracy is as high as 89.34 ols pay more and more attention to the education of their children. However, the understanding of the students’ learning situation only stays on the surface, and it is impossible to have a deep understanding of the students’ specific learning situation. In addition, the development of science and technology has become more and more mature. The Internet of Things and smart sensors are gradually being used in the teaching field. Although they provide convenience for daily teaching activities, their research and development in this area is not very mature, and there are still many problems. In addition, products used in the field of brainwave sensors for teaching have appeared. However, the data cannot be obtained and the computer wave model cannot be established or modified. Therefore, the technology for applying brain wave sensors to teaching is not mature. Therefore, this article needs to study the brainwave collection terminal of English listening test, and provide technical support for more accurate grasp of students’ learning situation.