Teaching quality evaluation system based on AI and big data analysis

A technology of teaching quality and evaluation system, applied in data processing applications, instruments, resources, etc., can solve problems such as low accuracy and large errors in quality evaluation results, and achieve the effect of improving accuracy

Pending Publication Date: 2021-06-04
中科惠统智慧科技有限公司
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The general method of evaluating teaching classrooms is to collect the opinions of students after class, or arrange special evaluators or other teachers to observe and evaluate the quality of teaching. However, the above methods are too subjective, and the quality obtained The evaluation results have large errors and low accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Teaching quality evaluation system based on AI and big data analysis
  • Teaching quality evaluation system based on AI and big data analysis
  • Teaching quality evaluation system based on AI and big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The following is attached figure 1 The application is described in further detail.

[0045] The embodiment of this application discloses a teaching quality evaluation system based on AI and big data analysis. refer to figure 1 , a teaching quality evaluation system based on AI and big data analysis, including a data collection module 101, a data processing module 102, a student class status evaluation module 103, a teacher class status evaluation module 104, a teacher-student interaction evaluation module 105, and a data upload module 106 and the comprehensive quality evaluation module 107, wherein the data processing module 102 is provided with a data storage unit 1021, and the data storage unit 1021 is used for data storage.

[0046]As an embodiment of the data collection module 101, the data collection module 101 is used to collect video data and audio data in the classroom, and the data collection module 101 includes a video collection unit 1011 for collecting vid...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a teaching quality evaluation system based on AI and big data analysis, and the system comprises: a data collection module which is used for collecting video data and audio data in a classroom; the data processing module that is used for processing the collected video data and audio data to obtain evaluation data, and the evaluation data comprises the number of people, actions, expressions and speech content; the student class state evaluation module that is used for generating a student class state evaluation result according to the evaluation data; the teacher class state evaluation module that is used for generating a teacher class state evaluation result according to the evaluation data; the data uploading module that is used for acquiring other education results, and the other education results comprise examination scores; and the comprehensive quality evaluation module that is used for comprehensively evaluating the teaching quality according to the student class state evaluation result, the teacher class state evaluation result and other education results. The invention has the effect of improving the accuracy of teaching quality evaluation.

Description

technical field [0001] This application relates to the field of education quality management, especially a teaching quality evaluation system based on AI and big data analysis. Background technique [0002] Education and teaching is the top priority of social development. How to improve the quality management of education and teaching, establish and improve the teaching quality standards and teaching quality evaluation system is also a very important part. At the same time, it is also necessary to evaluate and analyze the quality of the teaching process. [0003] The general method of evaluating teaching classrooms is to collect the opinions of students after class, or arrange special evaluators or other teachers to observe and evaluate the quality of teaching. However, the above methods are too subjective, and the quality obtained The evaluation results have large errors and low accuracy. Contents of the invention [0004] In order to improve the accuracy of teaching qua...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20
CPCG06Q10/06395G06Q50/205
Inventor 李健段怡刘念梁照宇张屹黄律
Owner 中科惠统智慧科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap