Student learning behavior analysis system based on big data

Abstract

The invention relates to the technical field of behavior analysis, in particular to a student learning behavior analysis system based on big data, which comprises a server and a monitoring group arranged in a classroom, and is characterized in that the server stores score data of each student in each period, a score difference threshold, normal face information of each student and corresponding identity information; the server is used for identifying the identity of the student according to the picture uploaded by the monitoring group, a face analysis module is used for identifying students ina sleeping state and a distracting state through the facial features of the students, and marking the students with marks of the sleeping students and the distracting students; a post analysis moduleis used for identifying students with poor sitting postures through the postures of the students, and marking the students as students with ill-conditioned sitting postures; a comparison module is used for periodically comparing scores of students and calculating score difference values; and when the score difference value is greater than the score difference threshold, a difference analysis module is used for calculating the difference between each piece of marked data and the previous period, so as to solve the problem that the teacher is limited in energy in class and then the specific reason for rising and falling of the student learning scores is difficult to find, and the method is mainly used for schools.

Description

technical field [0001] The invention relates to the technical field of behavior analysis, in particular to a student learning behavior analysis system based on big data. Background technique [0002] Students are the main body of learning, and their learning behavior includes data such as the duration of using course resources, repetition times, completion status, and test results. These learning behavior data not only reflect the mastery of individual students on specific knowledge points, but also quantitatively analyze the learning status of all students on a certain knowledge point from the overall level. [0003] The way the existing teaching system obtains learning behavior data mainly relies on homework, classroom questions, etc., and the learning behavior data of students obtained in this way is too one-sided and limited, and cannot effectively analyze the learning status of students, let alone Analyze the correlation between student achievement and learning behavio...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a student learning behavior analysis system based on big data, to solve the problem that teachers do not have too much energy to monitor and analyze the learning behavior of most students during class, and it is difficult to find out the specific reasons for the ups and downs of students' academic performance. cause of the problem

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