Classroom quality bi-directional evaluation system based on in-depth learning

Abstract

The invention discloses a classroom quality bi-directional evaluation system based on depth learning, which comprises a classroom terminal, a teacher terminal, an educational administration terminal,a student terminal and a cloud server. The teacher terminal collects, processes and sends classroom pictures and videos. The teacher terminal sends text information and images to the cloud server to release the job, notify the examination time and place, and receive and display the analysis results. The educational administration terminal receives and displays the basic information of each teacher's class, history teaching situation and students' learning situation; The student terminal receives and displays the notification of class assignment, the notification of examination time and place,the individual classroom performance and the teaching quality evaluation results of each teacher. Based on the received classroom pictures and frames, the cloud server uses the object detection model,face detection model and face segmentation model to analyze the attendance, the listening rate, classroom behaviors, classroom expression, classroom seating and feedback analysis results.

Description

technical field [0001] The invention relates to the technical field of teaching management information, in particular to a two-way evaluation system for classroom teaching quality based on deep learning. Background technique [0002] With the continuous reform of the education system in colleges and universities in recent years, how to effectively improve the quality of classroom teaching has long been the focus of teaching managers. Good classroom teaching management in colleges and universities is not only important for college teachers to achieve teaching goals and complete teaching tasks, but also plays an important role in coordinating the relationship between teachers and students and cultivating outstanding talents. However, there are many problems in today's college classrooms, such as students often skipping classes, low class attendance, common phenomena such as sleeping and playing with mobile phones in class, and students passing time passively in class. Althoug...

AI Technical Summary

Problems solved by technology

According to the literature review, most of the current intelligent teaching systems focus on the level of classroom teaching, but there are not many related educational products that use the intelligent teaching management and quality analysis of college classrooms to conduct two-way evaluations of students' learning conditions and teachers' teaching quality.

[0004] Most of the existing intelligent teaching systems are based on image recognition, AR / VR technology, speech recognition and other technologies to promote classroom innovation, lack the application of deep learning, and the accuracy of image recognition and classification is not high

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