Classroom teaching evaluation system based on artificial intelligence micro-expression analysis

Abstract

The invention discloses a classroom teaching evaluation system based on artificial intelligence micro-expression analysis. The evaluation system consists of a video input system, a cloud processing system and an output module. The cloud processing system comprises a server, a GPU acceleration artificial intelligence calculation module, a micro-expression module, an attendance checking module, a seat position information module, an interpersonal relationship module, a learning assistant system, an educational administration system and an evaluation and estimation system. According to the invention, through classroom real-time monitoring, comprehensive information like expressions and micro-expressions, seat position information and interpersonal relationships of students can be dynamically captured in real time; through a data base connected with educational administration information, learning assistant information and a mental health center, classroom effects, recognition and mental states of students can be reflected through big data processing; and important scientific analysis and decision basis are provided for each of teachers, educational administrators, learning assistants, and parents.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a classroom teaching evaluation system based on artificial intelligence micro-expression analysis. Background technique [0002] Classroom quality evaluation is a key link in the education and teaching system, and it is the comprehensive result of the dynamic process that reflects the teacher's "teaching" and students' "learning". The teacher's teaching level is indirectly reflected by the students' cognition and acceptance ability, and the classroom atmosphere and activities are reflected in the students' dynamic psychological behaviors and expressions or micro-expressions in the classroom. But how to scientifically measure classroom quality evaluation, [0003] The existing evaluation methods and means are based on the traditional teaching quality evaluation system. Through sampling surveys, interviews, examinations and evaluations, etc., a large number of teac...

AI Technical Summary

Problems solved by technology

[0003] The existing evaluation methods and means are based on the traditional teaching quality evaluation system. Through sampling surveys, interviews, examinations and evaluations, etc., a large number of teaching assistants and financial and material resources have been invested. The accuracy and reliability of the evaluation results Restricted by many external environments, it is impossible to accurately track classroom effectiveness in real time. The key is to ignore key elements such as cognition, feeling and mentality in the learning process of students

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