Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A video teaching comprehensive evaluation method and system based on face recognition

A face recognition and comprehensive evaluation technology, applied in the field of face recognition, can solve problems such as poor teaching effect, monotonous cheating, and not leaving teachers.

Pending Publication Date: 2019-05-10
NANJING ZHONGSHAN VIRTUAL REALITY TECH RES INST CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the existing technology, educational institutions organize students to study at the same place, and when the lectures are concentrated by playing pre-recorded video courseware, usually, no teacher is left on the teaching site, only an assistant is left. After each knowledge point is broadcast, the assistant will operate the mobile phone Suspend the courseware, pop up exercises in the courseware, and students answer on their mobile phones, which is monotonous and often cheats; students are passive, the teaching effect is not good, and evaluation methods are lacking

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
  • A video teaching comprehensive evaluation method and system based on face recognition
  • A video teaching comprehensive evaluation method and system based on face recognition
  • A video teaching comprehensive evaluation method and system based on face recognition

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0061] combine figure 1 , the present invention proposes a comprehensive evaluation method for video teaching based on face recognition. Each teaching video is provided with M rounds of classroom questions, and each round of classroom questions is correspondingly provided with an attention evaluation standard value A' i , Evaluation standard value of knowledge absorption degree B′ i . The method comprises the steps of:

[0062] S1: Send the i-th round of class questions and a face recognition instruction to the clients of all students who are receiving video lectures according to the set rules, where i=1,2,...,M.

[0063] The face recognition instruction is used to collect the face image of the student answering the question, and compare it with the face image of the student when logging into the client for identity verification.

[0064] S2: After collecting the classroom questions and sending them K 1 The answer data of all students within the time range, and the student...

specific Embodiment 2

[0096]When using the above method to evaluate the effect of video teaching, there is another important parameter to consider, that is, the violation situation. When the above method is used, the number of violations has been eliminated to ensure the accuracy of the evaluation results. But in other examples, we can use violations as one of the evaluation parameters to evaluate the effect of video teaching from another angle. On this basis, the method also includes:

[0097] Create a dynamic storage database to store IDs of students whose identity verification fails during a video lecture.

[0098] In step S2, if there is a student whose identity verification has not passed, compare the ID of the student with the ID of the student in the dynamic storage database, if the ID of the student is not stored in the dynamic database, store the ID of the student to the dynamic database.

[0099] Through the aforementioned method, students who violate the rules can be effectively monito...

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 provides a video teaching comprehensive evaluation method based on face recognition. The video teaching comprehensive evaluation method based on face recognition comprises the steps thatS1, sending an ith round of classroom questions and a face recognition instruction to clients of all students who are receiving video teaching according to a set rule; S2, collecting answer data of all students in a K1 time range after the classroom questions are sent; S3, counting the collected answer data, and calculating to obtain the following three evaluation parameters: a total co-answer rate, a total co-accuracy rate and a response rate; S4, calculating a class evaluation result of the current round; S5, repeating the steps S1-S4 until statistics of classroom assessment results of allrounds is completed; and S5, calculating the total evaluation score of the video teaching. The video teaching effect is evaluated in stages and overall through various parameters of the student duringanswering, reference is provided for improvement of the teaching mode, and in addition, the participation enthusiasm of the student is aroused by changing the answering mode.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a comprehensive evaluation method and system for video teaching based on face recognition. Background technique [0002] In the existing technology, educational institutions organize students to study at the same place, and when the lectures are concentrated by playing pre-recorded video courseware, usually, no teacher is left on the teaching site, only an assistant is left. After each knowledge point is broadcast, the assistant will operate the mobile phone The courseware is suspended, exercises pop up in the courseware, and students answer on their mobile phones, which is monotonous and often cheats; students are passive, the teaching effect is not good, and evaluation methods are lacking. Contents of the invention [0003] The purpose of the present invention is to provide a method and system for comprehensive evaluation of video teaching based on face recog...

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): G06Q10/06G06Q50/20G06K9/00
Inventor 谢海春陆郝凌栾敏文
Owner NANJING ZHONGSHAN VIRTUAL REALITY TECH RES INST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com