RETRACTED: Wireless sensors application in smart English classroom design based on artificial intelligent system

• DOI: 10.1016/j.micpro.2020.103798
• Publication Date: 2020-12-29T07:11:36Z
• Authors: Shuwen Yin; Dingyu Zhang; Dingxuan Zhang; Hong Li
• Keywords: Affect

Abstract In the traditional intelligent English classroom teaching, the efficiency of students' learning is often affected by many external environments, such as the influence of learning environment, the influence of students' own condition, and the influence of teachers' teaching mode. In view of these problems, we propose a wireless sensor network technology intelligent teacher management system, which can reduce the influence of the above factors on students' learning efficiency and improve students' learning efficiency. Make students more focused on learning. The system can monitor the state of students through wireless sensors. When the students are in bad condition, the system can adopt certain measures to enhance the enthusiasm of students. At the same time, the state of students and the state of the classroom will be recorded in the internal background system, the system managers can timely monitor the state of students and teachers, and give some guidance and feedback to students and teachers. This learning system is based on machine-free learning and sensor development. It can adjust the classroom environment to suitable conditions and make students more motivated to learn. Teachers can also have a more stable play, will not cause waste of classroom time and attention loss and other phenomena. When students feel tired or sleepy in class, the management system can also actively remind students. Observing the students' state at all times in the traditional classroom will lead to the teacher's distraction, but the teacher has to observe the students' state while lecturing. This may affect teachers and affect their teaching level, and the use of this automated classroom detection technology can solve such problems. Machine learning is to improve the calculation method through various experiences, which is also a problem in the field of artificial intelligence.