Teaching quality assessment method and system based on student behavior analysis in classroom

Abstract

The invention discloses a teaching quality assessment method and system based on student behavior analysis in a classroom. Through an image acquisition module, a sound acquirer, a sound pickup and an electromagnetic radiation detector, video images, speech signals of a teacher, classroom environmental noise signals and electromagnetic radiation quantity in a teaching classroom are acquired in real time and transmitted to a teaching computer for processing. The processed data is output to a server terminal for following processing, so teaching quality assessment reports are acquired. According to the invention, corresponding assessment reports are generated according to different classification types of timetables, courses, teaching contents, grades and teachers; teaching quality of the teachers and listening quality of the students are tracked in a real-time online manner; comprehensive assessment is provided for objective, quantitative and comprehensive classroom 'teaching' quality and 'listening' quality effects; and quantitative data indexes are provided for knowing and improving teaching contents of teachers afterwards and tracking of teaching quality of the school.

Description

Technical field [0001] The invention belongs to the field of teaching evaluation systems, and specifically relates to a teaching quality evaluation method and system based on classroom student behavior analysis. Background technique [0002] With the advancement of technology, multimedia teaching aid systems are more and more widely used in modern teaching, making the originally monotonous teaching more diverse and interesting. For a long time, many research institutions and personnel have conducted a lot of research on how to track the quality of teachers’ teaching, how to understand students’ interest in different courses or different knowledge points of the same course, and how to master and compare the effects of different teachers on the same course. In general, the basic data in these research work mainly rely on random and subjective methods such as random inspections, questionnaire surveys, classroom observations and subjective statistics conducted by teachers or teaching...

AI Technical Summary

Problems solved by technology

For a long time, many research institutions and personnel have conducted a lot of research on how to track the teaching quality of teachers, how to deeply understand students' interest in different courses or different knowledge points of the same course, and how to grasp and compare the teaching effects of different teachers on the same course. Generally speaking, the basic data in these research work mainly rely on spot checks, questionnaire surveys, in-class observations and subjective statistics by teachers or teaching supervisors, etc., which have great randomness and subjectivity. , the accuracy rate is low, and the statistical process is cumbersome and time-consuming

At present, there is no automatic, intelligent and efficient equipment and means to provide large-scale objective and quantitative statistical data. Therefore, it is of great practical significance to design an intelligent and efficient teaching quality evaluation system

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