Method for automatically identifying student grouping information in school experiment teaching process

Abstract

The invention discloses a method for automatically identifying student grouping information in a school experiment teaching process, and belongs to the technical field of school experiment teaching, and the method comprises the following steps: carrying out AI intelligent analysis on a monitoring video stream, and building an AI target detection model; for each experiment classroom, a certain number of grouping frames are predefined according to requirements, and the distance between each position vertex coordinate of each student and a judgment point of each predefined grouping frame is calculated; and determining groups of the students according to the distances between the positions of the students and the judgment points. Real-time analysis is carried out based on school video streams, and students are grouped. And other statistical information does not need to be acquired and processed to judge grouping, video streams are directly analyzed, students are directly grouped according to vision, the accuracy is higher, original video monitoring of a school can be directly accessed for analysis, and the expansibility is high. And a good tool and environment are provided for supervising experiment classes of students in schools.

Description

technical field [0001] The invention relates to the technical field of school experiment teaching, in particular to a method for automatically identifying student grouping information in the process of school experiment teaching. Background technique [0002] In recent years, primary and secondary schools have paid more and more attention to the practical ability of students, and the Education Bureau has also paid more and more attention to the teaching quality of experimental classes in schools. In experimental classes, teachers are usually required to manually group students according to the number of students on site, desk positions, and class conditions. During class, students may need to move around due to the experimental relationship, so this management method of manual grouping by teachers increases the burden of teachers, and the efficiency of students' grouping is low, which reduces the learning effect and quality of students in the experimental class. . [0003]...

AI Technical Summary

Problems solved by technology

Before the live broadcast class starts, students register for the live class on the student terminal, and the student terminal uploads the registration information to the server. The registration information includes the student's name, student ID, registered live class name and live class ID; When class students are divided into groups, count the total number of times the registered students have spoken in the discussion area in the previous live broadcast class; the students whose total number of speeches is not 0 are sorted in descending order of the total number of speeches, and the total number of speeches is 0 Students do not participate in the arrangement, they are listed separately; then the number of student groups is determined according to the number of management teachers in the discussion area of ​​the live class, and one management teacher manages a student group; each student group is assigned students who participate in the arrangement in turn, and each assignment is in Take the first student and the last student in the queue of the students who participated in the arrangement, and delete the students from the queue after taking them, until the students who participated in the arrangement are all assigned; finally, assign the students who did not participate in the arrangement to each student group in turn, each time Assignment takes one student until all students are assigned. This type of method often needs to obtain additional statistical information first, such as the total number of students, the number of groups, the number of speeches, the frequency of speeches, the number of rounds of speeches, etc., and then based on these statistical information. Grouping, if the above information is not obtained accurately enough, it is easy to have the problem of wrong grouping

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