Classroom teaching evaluation method and system based on expression recognition

Abstract

The invention discloses a classroom teaching evaluation method and system based on expression recognition. The method comprises the steps that S1, teacher teaching images and time tags are stored in an associated mode; S2, student classroom images are processed, classroom performance standard reaching judgment is performed on the listening state and / or understanding degree of each student at eachcollection time point, if classroom performance does not reach a standard, each collection time point is marked as a video clip tag of each student; S3, classroom performance evaluation of the students is obtained; and S4, the dense degree of each knowledge point is calculated, all the knowledge points are ordered according to the dense degrees, and classroom teaching quality evaluation is performed based on the classroom performance evaluation in a student set. According to the classroom teaching evaluation method and system, teaching evaluation is refined to each knowledge point on a classroom; and time periods when the classroom performance of each student does not reach the standard are recorded through the video clip tags, so that it is convenient to grasp the learning effect and after-class review of each student and perform accurate evaluation on the classroom teaching quality through the listening states and the understanding degrees.

Description

technical field [0001] The invention relates to the field of intelligent education, in particular to a classroom teaching evaluation method and system based on facial expression recognition. Background technique [0002] In the prior art, the Chinese patent application whose publication number is CN107169902A discloses "a classroom teaching evaluation system based on artificial intelligence micro-expression analysis, which is characterized in that: it is composed of a video input module, a cloud processing system and an output module. The cloud processing system includes a server, a GPU-accelerated artificial intelligence computing module, a micro-expression module, an attendance module, a seat position information module, an interpersonal relationship module, a student-worker system, an educational administration system, and an evaluation system.” The patent application uses artificial intelligence depth The technical means of learning fully reflects the information of clas...

AI Technical Summary

Problems solved by technology

[0003] The evaluation of teaching in the above two patent applications is only for the course, without detailing the classroom teaching content, let alone the knowledge points in the classroom teaching content, which is not conducive to grasping the specific learning effect of students

In addition, the courses in colleges and universities are heavy and the class hours are limited. Teachers need to complete teaching tasks in a short period of time. However, students skipping classes, falling asleep in class, and distracted often occur in college courses. In order to ensure the quality of classroom teaching, college teachers often interact with students in teaching. , such as asking students to answer questions on the spot, maintaining classroom discipline, reminding students who are drowsy and distracted, and recording students' classroom performance, etc., undoubtedly increase the difficulty of teaching for teachers, reduce the continuity of classroom teaching, and affect the quality of teaching; The degree of understanding of knowledge is different, and how to understand the learning progress of each student for personalized guidance has always troubled teachers

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