CN113141534A - Network remote education device - Google Patents
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- CN113141534A CN113141534A CN202110470061.4A CN202110470061A CN113141534A CN 113141534 A CN113141534 A CN 113141534A CN 202110470061 A CN202110470061 A CN 202110470061A CN 113141534 A CN113141534 A CN 113141534A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
- H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
- H04N21/4334—Recording operations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
- H04N21/47205—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for manipulating displayed content, e.g. interacting with MPEG-4 objects, editing locally
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/485—End-user interface for client configuration
- H04N21/4858—End-user interface for client configuration for modifying screen layout parameters, e.g. fonts, size of the windows
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- Electrically Operated Instructional Devices (AREA)
Abstract
The invention relates to the technical field of network equipment, in particular to a network remote education device, which comprises a teacher end, a student end and a cloud server, wherein the teacher end is connected with the student end; the teacher end comprises a first acquisition module, a first communication module, a transmission module and a comment receiving module; the transmission module transmits the acquired data and the teaching plan used in the class to the cloud server and stores the data and the teaching plan; the comment receiving module receives and displays the comments of the student end; the student end comprises a display module, a second acquisition module, an analysis module, a generation module and a second communication module; the second acquisition module acquires face dynamic data of students watching teaching plans; the analysis module analyzes confusion points in the learning process of students according to the collected face dynamic data; and the generation module generates related comments according to the confusion points of the students and sends the comments to the teacher end. The invention can solve the problem that the knowledge mastery is not firm because the students do not like to ask questions about the questionable knowledge points and the teachers cannot pertinently explain the difficult and serious points.
Description
Technical Field
The invention relates to the technical field of network equipment, in particular to a network remote education device.
Background
The distance education is a teaching mode using a computer, the internet and other propagation media, breaks through the boundary line of time and space, does not need to go to a specific place for class and can go to class at any time and any place. Distance education is a new concept generated after modern information technology is applied to education, various education resource banks span the limitation of spatial distance through a network, so that the education of schools becomes open education which can be radiated to wider areas beyond the schools, the schools can give full play to the advantages of subjects and education resources, and the best teachers and the best teaching results are spread to all directions through the network. With the spread of various direct seeding software flowers, fertile soil which is developed rapidly is laid for distance education.
However, the existing distance education system has some problems, and a comment area or a speech area is usually set in a student end (a mobile phone, a computer, etc.), so that students can listen to a question asked by a teacher when giving lessons, and the question can be edited and sent to the teacher end, thereby facilitating the teacher to know the knowledge points of each student in time. However, some students often give some speeches which are irrelevant to the teaching of the teacher in the comment area or the speech area, which is not beneficial for the teacher to know the knowledge points of the students and is also not beneficial for forming a good learning atmosphere in a remote education environment; the students are questioned about the knowledge points, because the students are restrained in nature and do not like to ask questions to communicate with teachers, the teachers cannot know people who are not understanding the knowledge points and cannot give pointed comments on the important points, so that the students are not firm in knowledge control and not beneficial to learning.
Disclosure of Invention
The technical problem solved by the invention is to provide a network remote education device, which can solve the problem that students are doubtful about learned knowledge points in the existing network remote education environment, but because the students are restrained in nature and do not like to ask questions to communicate with teachers, the teachers cannot find the problems existing in the learning of the students, so that the students cannot teach the important points in a targeted manner, and the knowledge of the students is not firm.
The basic scheme provided by the invention is as follows: a network remote education device comprises a teacher end, a student end and a cloud server;
the teacher end comprises a first acquisition module, a first communication module, a transmission module and a comment receiving module;
the first acquisition module: the teacher data acquisition module is used for acquiring data of a teacher in class;
the first communication module: the cloud server is used for data communication connection with the cloud server;
the transmission module: the system is used for transmitting the collected data and the teaching plan used in the class to the cloud server and storing the data and the teaching plan;
the comment receiving module: the device is used for receiving and displaying the comments of the student;
the student end comprises a display module, a second acquisition module, an analysis module, a generation module and a second communication module;
the display module: used for displaying teaching plans used in class;
the second acquisition module: the system is used for collecting face dynamic data and operation data when students watch teaching plans;
the analysis module: the system is used for analyzing confusion points in the learning process of students according to the collected face dynamic data;
the generation module: the system is used for generating relevant comments according to the confusion points of the students and sending the comments to the teacher end;
the second communication module: for data communication connection with the cloud server.
The principle and the advantages of the invention are as follows: the method comprises the steps of collecting face dynamic data of students watching teaching notes, analyzing confusion points existing in the learning process of the students, generating comments related to the confusion points existing in the learning process of the students, and sending the comments to a teacher end, so that the teacher can find problems existing in the learning process of the students. By adopting the scheme, when the students do not provide the problems existing in self learning due to the fact that characters are converged or other reasons in class, the teachers can find the problems existing in the learning of the students, so that the students can teach hard points in a targeted manner, and the problem that the knowledge mastered by the students is not firm is solved.
Further, the collected data comprises voice signals and video signals; first collection module includes headset and camera, the headset is used for collecting the teacher and goes on the speech signal of class hour, the camera is used for recording the teacher and goes on the video signal of class hour.
The first acquisition module comprises an earphone and a camera so as to acquire a language signal and a video signal of a teacher in class.
Further, the second acquisition module comprises a face acquisition module, and the face acquisition module comprises an eye movement acquisition module and an expression acquisition module;
the eye movement acquisition module is used for acquiring eye movement track information of a student watching a screen at the student end in real time;
the expression acquisition module is used for acquiring expression change information of a student watching a screen of the student terminal in real time.
The face condition of the student watching the screen at the student end is collected.
Furthermore, the eye movement track information comprises the fixation point and the fixation time of the eyes of the student, and the analysis module is used for analyzing the abnormal condition of the eye movement track of the student according to the fixation point and the fixation time of the eyes of the student.
The abnormal condition of the eye movement track of the student is analyzed by collecting the fixation point and the fixation time of the eyes of the student.
Further, the expression change information comprises expression likes and dislikes changes, and the analysis module is used for analyzing abnormal conditions of the expression changes of the students according to the expression likes and dislikes changes of the students.
The abnormal conditions of the expression changes of the students are analyzed by collecting the expression likes and dislikes changes of the students.
Further, the second acquisition module also comprises a detection module, and the detection module is used for detecting the time length for the student to watch each page of the teaching plan and the watching frequency of each page.
By detecting the watching time length and the watching frequency, the watching state of the student on each page of the teaching plan is convenient to analyze.
Further, the detection module is also used for detecting the teaching plan content and the framing frequency of the student in the cursor framing.
The content and the framing frequency of the teaching plan framed by the student using the cursor are detected, so that the analysis of places where the student encounters difficulty in the teaching plan is facilitated.
Furthermore, the second acquisition module also comprises a comment acquisition module, and the comment acquisition module is used for acquiring comments input by students at the student end in real time; the analysis module is used for analyzing the relevance between comments input by students and the teaching plan; the generation module is used for sending the comments with the correlation degrees higher than the threshold value to the teacher end.
The comments input by the student end are collected in real time, the relevance between the comments of the students and the teaching plan is analyzed, the comments with low relevance are screened out, and the comments with high relevance are only sent to the teacher end.
Further, the display module is used for displaying comments with the relevance higher than a threshold and related to the confusion points of the students; the system also comprises an approval rate acquisition module, wherein the approval rate acquisition module is used for acquiring approval rates of the students for the comments and sending the approval rates to the teacher end; the comment receiving module is used for displaying the comments according to the approval rate of the comments.
And displaying the comments according to the high and low approval rates.
Drawings
Fig. 1 is a logic block diagram of an embodiment of a network remote education apparatus according to the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
the first embodiment is as follows:
as shown in fig. 1, a network remote education device of the present embodiment includes a teacher end, a student end, and a cloud server; the teacher end of the embodiment is preferably a computer, and the student end is preferably a mobile phone; the teacher end and the student end are respectively provided with a communication module which is a first communication module and a second communication module, the teacher end is in data communication connection with the cloud server through the first communication module, and the student end is in data communication connection with the cloud server through the second communication module.
The teacher end comprises a first acquisition module, a first communication module, a transmission module and a comment receiving module. First collection module is used for gathering the teacher and goes up the data of class hour, and the data of gathering include speech signal and video signal, first collection module includes headset and camera, the headset is used for collecting the teacher and goes up the speech signal of class hour, the camera is used for recording the teacher and goes up the video signal of class hour.
The transmission module is used for transmitting the collected voice signals, video signals and teaching notes (such as PPT) used in class to the cloud server and storing the collected voice signals, video signals and teaching notes; the comment receiving module is used for receiving and displaying the comments of the student side, and in the embodiment, the comments received by the comment receiving module are displayed on the upper right side of the computer screen of the teacher side.
The student end comprises a display module, a second acquisition module, an analysis module, a generation module and a second communication module. The display module is used for displaying teaching plans used in class; the second acquisition module is used for acquiring face dynamic data and operation data when the students watch teaching plans, and comprises a face acquisition module, a detection module and a comment acquisition module; the analysis module is used for analyzing puzzlement points in the learning process of the students according to the collected face dynamic data.
The face acquisition module comprises an eye movement acquisition module and an expression acquisition module; the eye movement acquisition module is used for acquiring eye movement track information of a student watching a screen at the student end in real time; the expression acquisition module is used for acquiring expression change information of a student watching a screen at a student end in real time. The analysis module is used for analyzing the abnormal condition of the eye movement track of the student according to the fixation point and the fixation time of the eyes of the student; the expression change information comprises expression likes and dislikes changes, and the analysis module is used for analyzing abnormal conditions of the expression changes of the students according to the expression likes and dislikes changes of the students.
Specifically, when the teaching plan appears on a screen of a student, an eye movement acquisition module acquires eye movement track information of the student, when eyes of the student watch the screen, light of the screen of the student is reflected through pupils of the eyes of the student and captured by a camera to form a light spot, the direction and watching time of the eyes of the student watching the screen can be judged according to the light spot, and if the direction and watching time of the eyes of the student watching the screen are not changed for more than 10 seconds all the time, an analysis module generates a conclusion that the student is nervous and does not hear seriously; if the direction and the watching time of the eyes of the student watching the screen are kept changing every 2-3 seconds, the analysis module generates a conclusion that the state of the student is normal; if the direction and the watching time of the eyes of the student watching the screen are kept unchanged for 3-9 seconds, the analysis module generates a conclusion that the student is confused about the knowledge of the current page.
The facial expression image analysis method comprises the steps that an expression acquisition module automatically shoots an interface through a camera at a learning end, shooting is carried out once every second, after shooting is completed, the expression acquisition module sends a shot facial expression image to an analysis module, the analysis module carries out primary screening on the shot facial expression image, based on a facial recognition algorithm, the analysis module judges whether a complete face exists in the shot facial expression image, if a complete face does not exist in a certain facial expression image, the facial expression image is not in accordance with requirements, and the analysis module does not process the unsatisfactory facial expression image. Because the facial expressions usually have a plurality of types such as happiness, aversion, fear, anger, surprise, hurt, confusion and the like, when the analysis module identifies that the uploaded facial expression images have images showing the confused expressions, a conclusion that the students have confusion points on the knowledge of the current page is generated.
The detection module is used for detecting the time length for the student to watch each page of the teaching plan and the watching frequency of each page, and the analysis module analyzes the confusion points of the student in the learning process according to the detection result of the detection module. The comment acquisition module is used for acquiring comments input by students at the student end in real time. In the embodiment, when the difference between the time taken by a student to watch a certain teaching plan and the teaching time of a teacher on the teaching plan exceeds 1 minute, the analysis module generates a conclusion that the student has a confusion point on the knowledge of the current page; when the number of times that the student watches a certain page of teaching plan exceeds 3 times, the analysis module generates a conclusion that the student has confusion points on the knowledge of the current page.
For example: the teacher gives a lecture in the 5 th teaching plan for 10 minutes, the detection module detects that the time for the students to watch the 5 th teaching plan is 13 minutes, and the analysis module generates a conclusion that the students have confusion on the knowledge of the current page, which shows that the students have difficulty in the 5 th teaching plan and need help of the teacher to answer. For example: if the student watches 5 times on the 15 th teaching plan, the analysis module generates a conclusion that the student has confusion on the knowledge of the current page, which shows that the student has difficulty on the 15 th teaching plan and needs help and answer of a teacher.
In this embodiment, after the analysis module generates a conclusion that the knowledge of the student on the current page has the confusion point, the comment acquisition module does not acquire any comment input by the current student, and then the generation module generates a relevant comment according to the confusion point of the student and sends the comment to the teacher end. Such as: the doubt point of the student is the application of the Pythagorean theorem, and then a comment on how to move the Pythagorean theorem is generated.
The display module is used for displaying comments of which the relevance is higher than a threshold and is related to the confusion points of the students, namely, the students can see the comments which are sent by classmates and have similar confusion with the students through the display module and can click the comments to show approval; the system also comprises an approval rate acquisition module, wherein the approval rate acquisition module is used for acquiring approval rates of the students for the comments and sending the approval rates to the teacher end; the comment receiving module is used for displaying comments according to the approval rate of the comments, and specifically comprises the following steps:
in this embodiment, when the approval rate of a certain comment is higher than 30%, the format displayed by the comment is changed to be font highlighting, for example: the font size of the comment is default to five, the font is black, and when the approval rate of the comment is higher than 30%, the font of the comment is changed to four, and the font is red. And the format of the comment display will be highlighted with the increasing approval rate until the font becomes one.
The comment acquisition module acquires comments input by students at the student end, the analysis module is used for analyzing the relevance between the comments input by the students and the teaching plan, the generation module is used for sending the comments with the relevance higher than a threshold value to the teacher end, the comments with the relevance lower than the threshold value are only displayed at the student ends, and the relevance is 0-100%. For example: when a student inputs comments 'secondary function.', an analysis module calls teaching plans stored in a cloud server to analyze, including teaching plans in teaching and teaching plans historically taught by teachers, the correlation degree between the comments input by the current student and the teaching plans stored in the cloud server is analyzed, and a generation module sends the comments of which the correlation degree is higher than a threshold value to a teacher terminal, wherein in the embodiment, the threshold value is 80%.
Example two:
the difference between this embodiment and the first embodiment is that, in this embodiment, the detection module is further configured to detect the content of the teaching plan framed by the student using the cursor and the framing frequency, and the analysis module is configured to generate a conclusion that the student has a confusion point on the knowledge of the current page according to the content of the teaching plan framed by the student using the cursor and the framing frequency detected by the detection module, specifically:
the student uses the cursor to perform frame selection on the 2 nd section of the 10 th page of the teaching plan, and the frame selection is performed for 10 times within 30 seconds, which shows that the student encounters difficulty on the 2 nd section of the 10 th page of the teaching plan and needs the help of a teacher to answer, and at the moment, the analysis module generates a conclusion that the student has a doubt point on the knowledge of the current page; if the student uses the cursor to frame in the 3 rd section of the 14 th page of the teaching plan and frames 1 time in 30 seconds, the student has no difficulty in the 3 rd section of the 14 th page of the teaching plan.
The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (9)
1. A network distance education apparatus characterized by: the system comprises a teacher end, a student end and a cloud server;
the teacher end comprises a first acquisition module, a first communication module, a transmission module and a comment receiving module;
the first acquisition module: the teacher data acquisition module is used for acquiring data of a teacher in class;
the first communication module: the cloud server is used for data communication connection with the cloud server;
the transmission module: the system is used for transmitting the collected data and the teaching plan used in the class to the cloud server and storing the data and the teaching plan;
the comment receiving module: the device is used for receiving and displaying the comments of the student;
the student end comprises a display module, a second acquisition module, an analysis module, a generation module and a second communication module;
the display module: used for displaying teaching plans used in class;
the second acquisition module: the system is used for collecting face dynamic data and operation data when students watch teaching plans;
the analysis module: the system is used for analyzing confusion points in the learning process of students according to the collected face dynamic data;
the generation module: the system is used for generating relevant comments according to the confusion points of the students and sending the comments to the teacher end;
the second communication module: for data communication connection with the cloud server.
2. The apparatus of claim 1, wherein: the collected data comprises voice signals and video signals; first collection module includes headset and camera, the headset is used for collecting the teacher and goes on the speech signal of class hour, the camera is used for recording the teacher and goes on the video signal of class hour.
3. The apparatus of claim 2, wherein: the second acquisition module comprises a face acquisition module, and the face acquisition module comprises an eye movement acquisition module and an expression acquisition module;
the eye movement acquisition module is used for acquiring eye movement track information of a student watching a screen at the student end in real time;
the expression acquisition module is used for acquiring expression change information of a student watching a screen of the student terminal in real time.
4. A network distance education apparatus according to claim 3 wherein: the eye movement track information comprises the fixation point and the fixation time of the eyes of the student, and the analysis module is used for analyzing the abnormal condition of the eye movement track of the student according to the fixation point and the fixation time of the eyes of the student.
5. The apparatus of claim 4, wherein: the expression change information comprises expression likes and dislikes changes, and the analysis module is used for analyzing abnormal conditions of the expression changes of the students according to the expression likes and dislikes changes of the students.
6. The apparatus of claim 5, wherein: the second acquisition module further comprises a detection module, and the detection module is used for detecting the time length for the student to watch each page of the teaching plan and the watching frequency of each page.
7. The apparatus of claim 6, wherein: the detection module is also used for detecting the teaching plan content and the framing frequency of the student in the cursor framing.
8. The apparatus of claim 7, wherein: the second acquisition module also comprises a comment acquisition module, and the comment acquisition module is used for acquiring comments input by students at a student end in real time; the analysis module is used for analyzing the relevance between comments input by students and the teaching plan; the generation module is used for sending the comments with the correlation degrees higher than the threshold value to the teacher end.
9. The apparatus of claim 8, wherein: the display module is used for displaying comments with the relevance higher than a threshold and related to the confusion points of the students; the system also comprises an approval rate acquisition module, wherein the approval rate acquisition module is used for acquiring approval rates of the students for the comments and sending the approval rates to the teacher end; the comment receiving module is used for displaying the comments according to the approval rate of the comments.
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| CN202110470061.4A CN113141534A (en) | 2021-04-28 | 2021-04-28 | Network remote education device |
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| CN202110470061.4A CN113141534A (en) | 2021-04-28 | 2021-04-28 | Network remote education device |
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| CN113141534A true CN113141534A (en) | 2021-07-20 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113570484A (en) * | 2021-09-26 | 2021-10-29 | 广州华赛数据服务有限责任公司 | Online primary school education management system and method based on big data |
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2021
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113570484A (en) * | 2021-09-26 | 2021-10-29 | 广州华赛数据服务有限责任公司 | Online primary school education management system and method based on big data |
| CN113570484B (en) * | 2021-09-26 | 2022-02-08 | 广州华赛数据服务有限责任公司 | Online primary school education management system and method based on big data |
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