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Classroom teaching analysis and quality evaluation system and method based on behavior and expression intelligent identification

A technology of intelligent analysis and quality assessment, which is applied in character and pattern recognition, biometric recognition, and facial feature acquisition/recognition. The effect of not being specific in class

Pending Publication Date: 2020-04-17
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The classroom teaching analysis and quality evaluation system fully presents the whole picture of classroom teaching through visual data analysis, solves the outstanding problems of students' non-specific teaching and low teaching effectiveness in the current classroom, and has great impact on teaching evaluation and teacher teaching improvement Practical value

Method used

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  • Classroom teaching analysis and quality evaluation system and method based on behavior and expression intelligent identification
  • Classroom teaching analysis and quality evaluation system and method based on behavior and expression intelligent identification
  • Classroom teaching analysis and quality evaluation system and method based on behavior and expression intelligent identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0183] A classroom teaching analysis and quality evaluation system based on intelligent analysis of behavior and expression, such as figure 1 As shown, it includes image data acquisition module, data intelligent analysis module, classroom teaching index analysis module, teaching comprehensive analysis and quality evaluation module and teaching analysis report output module connected in sequence.

[0184] The image data acquisition module is used to collect the original image data of students and teachers, that is, to use the classroom camera monitoring system to collect images of teachers, students and classroom environment, and send them to the intelligent data analysis module; Collect (the time interval of collection can be set according to the system requirements, such as every second, every 10 seconds, every minute, etc.) classroom video, and use the existing digital image processing algorithm and computer vision algorithm to cut the video into a frame-by-frame picture, Co...

Embodiment 2

[0190] According to a kind of classroom teaching analysis and quality evaluation system based on behavior and facial expression intelligent analysis described in embodiment 1, its difference is:

[0191] The data intelligent analysis module includes a student behavior classification and recognition unit, a student expression classification and recognition unit, a teacher's behavior classification and recognition unit, and a teacher's expression classification and recognition unit.

[0192] The student behavior classification and identification unit uses the existing digital image processing algorithm to complete the classification, identification and statistics of several learning behaviors and several non-learning behaviors of students in the image data; learning behaviors, such as listening to lectures, raising hands, reading, etc. Behavior; non-learning behavior, such as playing with mobile phones, lying on the table, chatting, etc., which reflect behaviors that are not rela...

Embodiment 3

[0198] According to a kind of classroom teaching analysis and quality evaluation system based on the intelligent analysis of behavior and expression described in embodiment 1 or 2, its difference is:

[0199] The student behavior index analysis unit is used to analyze the behavior of students in the classroom. By counting the different proportions of various behaviors in the number of students, it can show the learning situation of students in the classroom from the aspect of behavior, that is: calculate the student enthusiasm index based on behavior , student passivity index, and student behavior evaluation index.

[0200] The calculation formula of the student enthusiasm index is shown in formula (1):

[0201]

[0202] In formula (1), I sb_a Indicates the student enthusiasm index; A i Indicates the impact factor of different student behaviors on the student enthusiasm index, i=1,2,...,M sb_a ,M sb_a Indicates the upper limit of the number of student behaviors that aff...

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Abstract

The invention relates to a classroom teaching analysis and quality evaluation system and method based on behavior and expression intelligent identification. The classroom teaching analysis and qualityevaluation system comprises an image data acquisition module, a data intelligent identification module, a classroom teaching index analysis module, a teaching comprehensive analysis and quality evaluation module and a teaching analysis report output module which are connected in sequence. Classrooms are used as carriers, based on a classroom camera monitoring system, data acquisition, classification and identification, quantitative analysis and teaching depth fusion of behaviors and expressions are focused, visual analysis results are output by analyzing various index data of behaviors and expressions of students and teachers in a classroom, and finally scientific and comprehensive teaching comprehensive analysis and quality evaluation are realized in combination with teaching expectation. According to the classroom teaching analysis and quality evaluation system, the full view of classroom teaching is comprehensively presented through visual data analysis, the problems that studentsare not specific in class and the teaching effect is not high in a current efficient classroom are solved, and the classroom teaching analysis and quality evaluation system has great practical value for teaching evaluation institutions and teaching improvement of teachers.

Description

technical field [0001] The invention relates to a classroom teaching analysis and quality evaluation system and method based on intelligent analysis of behavior and expression, and belongs to the technical field of artificial intelligence and teaching new technology application. Background technique [0002] In the process of popularization of higher education, people pay more and more attention to the quality of education. As the main place for teachers to impart knowledge and students to learn knowledge, classrooms in colleges and universities are the space for interaction between teachers and students and students, and the main channel for teachers to guide students to develop and explore knowledge. However, there are more and more non-learning behaviors such as playing mobile phones and sleeping in college classrooms. On the other hand, teachers' dominance in classrooms is gradually decreasing. These have become more prominent teaching dilemmas at present. [0003] Most...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/20G06K9/00
CPCG06Q10/06395G06Q10/06393G06Q50/205G06V40/174G06V40/10
Inventor 许宏吉赵文杰李梦荷冯金库樊士迪李恬阔邢庆华
Owner SHANDONG UNIV
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