A video teaching comprehensive evaluation method and system based on face recognition
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
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
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
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
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
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
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
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
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
Login to view more 
Login to view more