Classroom data processing method

Abstract

The invention relates to a classroom data processing method. The method comprises the steps that a video service terminal collects behavior data of students; extracting behavior feature information of the behavior data; generating behavior evaluation information according to the behavior feature information; the behavior evaluation information comprises mental state evaluation information, emotional state evaluation information, learning state evaluation information and interpersonal relationship evaluation information; generating an analysis report according to the teaching information data, the student information data and the multiple pieces of behavior evaluation information within the preset time; the student information data comprises student IDs; the analysis report comprises a comprehensive literacy evaluation report, a campus safety early warning report and a teaching quality evaluation report. According to the classroom data processing method, the behavior data of the students at the school are continuously collected for a long time, so that comprehensive literacy, academic conditions and emotions of the students are comprehensively tracked in real time, and the teaching quality of teachers is tracked in real time.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a classroom data processing method. Background technique [0002] With the progress of the times and the development of science, education no longer only pays attention to students' test scores, but pays more attention to the development of students' comprehensive quality, such as students' mental health, individual growth, academic development, thinking and morality, etc. At present, the teaching system applied to the market through artificial intelligence technology mainly focuses on teaching methods, and the evaluation of students' comprehensive quality and teaching quality is simply through statistical scores and teachers' subjective ratings based on students' performance in school. It is impossible to make an objective and long-term diagnosis and evaluation of the comprehensive quality of students, and it is also impossible to clearly analyze the advantages and disad...

AI Technical Summary

Problems solved by technology

At present, the teaching system applied to the market through artificial intelligence technology mainly focuses on teaching methods, and the evaluation of students' comprehensive quality and teaching quality is simply through statistical scores and teachers' subjective ratings based on students' performance in school. It is impossible to make an objective and long-term diagnosis and evaluation of the comprehensive quality of students, and it is also impossible to clearly analyze the advantages and disadvantages of the teacher's teaching

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