CN111681474A - Online live broadcast teaching method and device, computer equipment and readable storage medium - Google Patents
Online live broadcast teaching method and device, computer equipment and readable storage medium Download PDFInfo
- Publication number
- CN111681474A CN111681474A CN202010555736.0A CN202010555736A CN111681474A CN 111681474 A CN111681474 A CN 111681474A CN 202010555736 A CN202010555736 A CN 202010555736A CN 111681474 A CN111681474 A CN 111681474A
- Authority
- CN
- China
- Prior art keywords
- behavior characteristics
- video information
- teacher
- teaching
- preset behavior
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The embodiment of the invention provides an online live broadcast teaching method, an online live broadcast teaching device, computer equipment and a readable storage medium, wherein the method comprises the following steps: acquiring video information of a student end during online live broadcasting teaching; identifying preset behavior characteristics in the video information, wherein the preset behavior characteristics comprise classroom discipline behavior characteristics and/or classroom interaction behavior characteristics; and prompting the video information with the preset behavior characteristics on a teacher end. This scheme has classroom behavior of breaking a discipline and/or classroom interaction behavior in the teacher end suggestion teacher video information, for the teacher supervise, monitor classroom behavior of breaking a discipline and/or for the teacher in time with the student carry out teaching interaction and provide foundation and auxiliary information, be favorable to improving the online study attention, the interest in learning of student on class, and then be favorable to promoting on-line teaching quality and teaching effect.
Description
Technical Field
The invention relates to the technical field of online live broadcast, in particular to an online live broadcast teaching method, an online live broadcast teaching device, computer equipment and a readable storage medium.
Background
In the period of on-site teaching, schools and training institutions generally adopt on-line live broadcasting to carry out teaching, along with popularization and development of networks, teachers and students generally adopt audio and video communication software such as WeChat meeting/Tencent meeting/live broadcasting software to carry out teaching in on-line live broadcasting teaching, teachers give lessons through sharing a courseware screen or a talkback table/blackboard live broadcasting camera in the teaching process, communication is achieved through a computer or a mobile phone screen, after a period of teaching, a common problem is found, on-line live broadcasting teaching cannot be achieved, on-site classroom conditions can be mastered at any time through eyes in the class teaching, face-to-face communication interaction with students cannot be achieved, on-line teaching is lack of effective supervision compared with on-site teaching in a classroom, the problem that classroom discipline is difficult to manage is caused, and attention of students is not concentrated, even because of lack of classroom discipline supervision, some students even leave the scene of the teaching screen in the classroom, and the teacher still can't perceive, therefore, the teaching quality and the learning effect of the on-line live broadcast are far away from the traditional classroom on-the-spot teaching mode. In addition, the form of on-line teaching is adopted, teacher and student's interaction is also difficult to develop more than the interaction when on-the-spot teaching site teaching, in order to avoid many people in the network software to speak simultaneously and produce noise interference, all take one person to speak in general teaching, the mode that other people all are silent, even this makes in the teaching that the student has the problem to want to ask questions, teacher also difficult in time to notice, teacher chooses the student to speak and answer the problem, everybody also can only listen sound and can't see the classmate video who speaks.
In order to improve the teaching effect of the on-line live broadcasting mode and improve the attention of students in class, schools also want methods, for example, some parents call for to supervise the students in class at home as much as possible, other schools and training institutions encourage the teachers to return to school classrooms, live broadcasting is performed before standing in a classroom blackboard, the learning attention of the students is improved by simulating the on-site teaching environment familiar to the great family, and the students are encouraged to interrupt the speeches of the teachers to ask questions and answer questions through microphones, and the measures achieve certain effects, but even under the efforts, the teaching mode of on-line live broadcasting still cannot achieve the interactive teaching effect of on-site teaching supervision and teaching process in the classroom.
Disclosure of Invention
The embodiment of the invention provides an online live broadcast teaching method, which aims to solve the technical problems of poor teaching quality and poor teaching effect of online live broadcast teaching in the prior art. The method comprises the following steps:
acquiring video information of a student end during online live broadcasting teaching;
identifying preset behavior characteristics in the video information, wherein the preset behavior characteristics comprise classroom discipline behavior characteristics and/or classroom interaction behavior characteristics;
and prompting the video information with the preset behavior characteristics on a teacher end.
The embodiment of the invention also provides an online live broadcast teaching device, which is used for solving the technical problems of poor teaching quality and poor teaching effect in online live broadcast teaching in the prior art. The device includes:
the video acquisition module is used for acquiring video information of a student end during online live broadcasting teaching;
the behavior identification module is used for identifying preset behavior characteristics in the video information, wherein the preset behavior characteristics comprise classroom discipline behavior characteristics and/or classroom interaction behavior characteristics;
and the behavior prompt module is used for prompting the video information with the recognized preset behavior characteristics on a teacher end.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the optional online live broadcast teaching method when executing the computer program so as to solve the technical problems of poor teaching quality and poor teaching effect in online live broadcast teaching in the prior art.
The embodiment of the invention also provides a computer readable storage medium, wherein a computer program for executing the any online live broadcast teaching method is stored in the computer readable storage medium, so that the technical problems of poor teaching quality and poor teaching effect in online live broadcast teaching in the prior art are solved.
In the embodiment of the invention, video information of a student end is obtained during online live broadcast teaching, whether preset behavior characteristics exist in the video information of the student end is further identified, the preset behavior characteristics can comprise classroom discipline behavior characteristics and/or classroom interaction behavior characteristics, and the video information with the identified preset behavior characteristics is prompted on a teacher end aiming at the video information with the identified preset behavior characteristics. Compared with the on-line live broadcast teaching method in the prior art, in which a teacher cannot supervise, monitor the class discipline condition and/or cannot discover the teaching interactive behaviors of students in time, the on-line live broadcast teaching method identifies the class discipline behavior characteristics and/or the class interactive behavior characteristics in the video information of the student end in real time, and then prompts the teacher end that the class discipline behaviors and/or the class interactive behaviors exist in the video information of the teacher, so that a basis and auxiliary information are provided for the teacher to supervise, monitor the class discipline behaviors and/or for the teacher to perform teaching interaction with the students in time, the on-line on-class learning attention and learning interest of the students are favorably improved, and the on-line teaching quality and teaching effect are favorably improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a flowchart of an online live broadcast teaching method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a computer device according to an embodiment of the present invention;
fig. 3 is a block diagram of an online live broadcast teaching apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In an embodiment of the present invention, an online live broadcast teaching method is provided, as shown in fig. 1, the method includes:
step 102: acquiring video information of a student end during online live broadcasting teaching;
step 104: identifying preset behavior characteristics in the video information, wherein the preset behavior characteristics comprise classroom discipline behavior characteristics and/or classroom interaction behavior characteristics;
step 106: and prompting the video information with the preset behavior characteristics on a teacher end.
As can be seen from the flow shown in fig. 1, in the embodiment of the present invention, it is proposed that video information of a student end is obtained during online live broadcast teaching, and then whether preset behavior features exist in the video information of the student end is identified, where the preset behavior features may include classroom discipline behavior features and/or classroom interaction behavior features, and for the video information with the identified preset behavior features, the video information with the identified preset behavior features is prompted on a teacher end. Compared with the on-line live broadcast teaching method in the prior art, in which a teacher cannot supervise, monitor the class discipline condition and/or cannot discover the teaching interactive behaviors of students in time, the on-line live broadcast teaching method can recognize the class discipline behavior characteristics and/or the class interactive behavior characteristics in the video information of a student end in real time, further prompt the teacher that the class discipline behavior and/or the class interactive behaviors exist in the video information of the teacher end, make up for a short board which is difficult for the teacher to master the class attendance condition of the students during on-line teaching, provide basis and auxiliary information for supervising and monitoring the class discipline behaviors of the teacher and/or timely teaching interaction between the teacher and the students, and is beneficial to improving the learning attention and learning interest of the students on-line teaching, and further beneficial to improving the on-line teaching quality and teaching effect.
In the process of on-line live broadcasting teaching, a student end refers to terminal equipment used by students, such as personal computers, mobile phones and the like; the teacher end refers to terminal equipment used by a teacher, and can also be a personal computer, a mobile phone and the like.
In specific implementation, the classroom discipline behavior feature can be a behavior prohibited in classroom, such as a behavior of leaving, standing still for a long time, sleeping with a head lowered, lying on a table, speaking with a mouth opened, closing eyes, playing a mobile phone, holding objects in a non-classroom state, lying posture and the like; the classroom interaction behavior characteristics can be teaching interaction and interaction behaviors, such as various teaching interaction behaviors like hand-raising prompts, answering questions after a teacher calls, and the like.
In specific implementation, in order to improve the identification accuracy, the process of identifying the preset behavior features in the video information may be implemented by a deep learning algorithm. For example, identifying preset behavior features in the video information includes: and inputting the video information into a recognition model, and outputting the recognized preset behavior characteristics by the recognition model, wherein the recognition model is obtained by training sample data based on the preset behavior characteristics.
In specific implementation, in order to improve the accuracy of the recognition model, enough pictures with preset behavior characteristics can be collected as samples to participate in model training, so as to obtain the recognition model. For example, the recognition model can be trained by using a framework of artificial intelligent deep learning technologies such as Resnet, SSD, YOLO, and the like. The algorithm of the recognition model can be realized by adopting the recognition technologies of biological behavior characteristics such as behavior recognition, face recognition, target detection and tracking and combining the technical means such as artificial intelligence and edge calculation, and the application is not particularly limited.
During specific implementation, one recognition model can be used for recognizing various preset behavior characteristics, in order to ensure that the recognition model has good adaptability to scenes, sample data under the same behavior can be obtained by a sample data set depended on by model training with higher complexity, and in principle, the corresponding recognition models can be obtained by respectively and independently training aiming at various preset behavior characteristics, so that the recognition accuracy is higher.
In the specific implementation, in the recognition model, the bottom layer algorithm capability analyzes the video information and recognizes the preset behavior characteristics, the calculation force requirement of the recognition process on hardware equipment is high, and the recognition process can be completed by adopting a processor with an AI chip or a GPU server.
In specific implementation, when the computing power of the teacher end can support the operation algorithm of the operation recognition model, the online live broadcast teaching method can be operated on the teacher end, namely, the teacher end completes the processes of acquiring video information of the student end during online live broadcast teaching, recognizing preset behavior characteristics in the video information, prompting the video information with the recognized preset behavior characteristics and the like.
In specific implementation, when a teacher end is a terminal device such as a personal computer or a mobile phone and the like which cannot support an operation algorithm of an operation recognition model, at this time, a preset behavior feature in the video information can be recognized through the student end and a device other than the teacher end, and the video information with the recognized preset behavior feature is sent to the teacher end, that is, the recognition model is operated through the student end and the device other than the teacher end to complete a process of recognizing the preset behavior feature, and the video information with the recognized preset behavior feature is sent to the teacher end, so as to trigger the video information with the recognized preset behavior feature to prompt the teacher end which video information has the preset behavior feature, so that the teacher can timely perform corresponding processing such as classroom discipline supervision or teaching interaction based on the preset behavior feature, at this time, the online live broadcast teaching method can be operated on devices other than the student side and the teacher side.
Specifically, the online live broadcast teaching method can be divided into a model training layer (i.e. a function of completely training and recognizing a model), an access layer (i.e. a function of receiving video information of a teacher end and a student end in online live broadcast teaching and transmitting the video information to the model layer), a model layer (i.e. a function of identifying behavior characteristics of an operation recognition model), and a service layer (i.e. a function of prompting and displaying on the teacher end based on the recognition result of the model layer), the model training layer, the access layer, and the model layer of the behavior recognition system are deployed on a device outside the student end and the teacher end, the device can be a processor with an AI chip or a GPU server, etc., the service layer of the behavior recognition system can be deployed on the teacher end, preset behavior characteristics recognized by the model layer are transmitted to the service layer of the system, and the service layer is responsible for prompting the video information including the preset behavior characteristics to the teacher, and the teacher end collects corresponding video record preservation certificates so as to carry out inquiry statistics after class.
When specifically implementing, in order to in time highlight, remind mr which student's video information appear predetermineeing the behavior characteristic, in this embodiment, the teacher serves the suggestion and identifies predetermineeing the behavior characteristic video information includes:
automatically popping up a video window of the video information with the preset behavior characteristics identified on the teacher end, and amplifying and displaying the video window; or, a video window of the video information with the preset behavior characteristics can be automatically identified on the teacher end in a flashing mode.
In this embodiment, when the confirmation message that the recognized preset behavior feature is the classroom interaction behavior feature is received, the video windows of the parties participating in the interaction are popped up and displayed on the student side and the teacher side in an enlarged manner, that is, all students and teachers are allowed to watch the interaction process. For example, after the teacher end prompts the video window of the video information with the recognized preset behavior characteristics, when the teacher end receives a confirmation message that the preset behavior characteristics input by the teacher are classroom interaction behavior characteristics, the video window of the party participating in interaction is popped up and displayed on the student end and the teacher end in an enlarged manner.
In specific implementation, the online live broadcast teaching method is described below by combining two different preset behavior characteristics, for example, the preset behavior characteristics take classroom discipline behavior characteristics as an example:
1. video information of students in an online live broadcast teaching screen is collected.
2. The method comprises the steps of performing behavior recognition on video information of students, and performing behavior feature algorithm analysis on classroom discipline behavior features (such as leaving videos, sleeping, lying on a table, speaking, holding teaching irrelevant objects and the like) through a recognition model.
3. And according to the analysis result of the recognition model, performing pop-up and amplification prompt on the video window of the student identified as the class breaking behavior characteristic on a teacher screen.
4. And collecting videos or pictures of the classroom discipline behavior characteristics to store information for subsequent classroom information statistics.
As another example, the preset behavior characteristics take classroom interaction behavior characteristics as an example:
1. video information of students in an online live broadcast teaching screen is collected.
2. And (3) performing behavior recognition on student video information, and performing behavior feature algorithm analysis on classroom interaction behavior features (raising hands, speaking, inputting problems and the like) through a recognition model.
3. And prompting a teacher according to an analysis result of the recognition model, and after confirming that the recognized preset behavior characteristics belong to the classroom interaction behavior, performing popup and amplification display on video windows of students participating in the interaction on screens of the student terminals and the teacher terminal.
4. And collecting videos or pictures of the classroom interaction behavior characteristics for information storage, and carrying out follow-up classroom information statistics.
In this embodiment, a computer device is provided, as shown in fig. 2, and includes a memory 202, a processor 204, and a computer program stored on the memory and executable on the processor, and the processor implements any of the above-mentioned online live education methods when executing the computer program.
In particular, the computer device may be a computer terminal, a server or a similar computing device.
In this embodiment, a computer-readable storage medium storing a computer program for executing any of the above-described online live education methods is provided.
In particular, computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer-readable storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable storage medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Based on the same inventive concept, the embodiment of the present invention further provides an online live broadcast teaching device, as described in the following embodiments. Because the principle of solving the problems of the online live broadcast teaching device is similar to that of the online live broadcast teaching method, the implementation of the online live broadcast teaching device can refer to the implementation of the online live broadcast teaching method, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a block diagram of an online live broadcast teaching apparatus according to an embodiment of the present invention, and as shown in fig. 3, the apparatus includes:
the video acquisition module 302 is used for acquiring video information of a student end during online live broadcasting teaching;
the behavior identification module 304 is configured to identify preset behavior characteristics in the video information, where the preset behavior characteristics include classroom discipline behavior characteristics and/or classroom interaction behavior characteristics;
a behavior prompt module 306, configured to prompt, on a teacher end, the video information with the identified preset behavior feature.
In an embodiment, the behavior recognition module is configured to input the video information into a recognition model, and the recognition model outputs a recognized preset behavior feature, where the recognition model is trained based on sample data of the preset behavior feature.
In an embodiment, the behavior recognition module is disposed on a device other than the student side and the teacher side, and is further configured to send the video information with the recognized preset behavior features to the teacher side.
In one embodiment, the behavior prompt module is configured to pop up and enlarge and display a video window of the video information with the recognized preset behavior characteristics on the teacher side; or
And flashing and identifying a video window of the video information with the preset behavior characteristics on the teacher side.
In one embodiment, further comprising:
and the interactive display module is used for popping up and amplifying and displaying video windows of the parties participating in interaction on the student end and the teacher end when receiving the confirmation message that the recognized preset behavior characteristics are classroom interactive behavior characteristics aiming at the video information of which the preset behavior characteristics are recognized.
The embodiment of the invention realizes the following technical effects: the video information of the student end is acquired during online live broadcast teaching, whether preset behavior characteristics exist in the video information of the student end or not is further recognized, the preset behavior characteristics can include class break-of-discipline behavior characteristics and/or class interaction behavior characteristics, and the video information with the recognized preset behavior characteristics is prompted on a teacher end for recognizing the video information with the preset behavior characteristics. Compared with the on-line live broadcast teaching method in the prior art, in which a teacher cannot supervise and monitor the class discipline condition and/or cannot discover the teaching interaction behaviors of students in time, the on-line live broadcast teaching method can recognize the class discipline behavior characteristics and/or the class interaction behavior characteristics in the video information of the student end in real time, so that the teacher end can prompt that the class discipline behaviors and/or the class interaction behaviors exist in the video information of the teacher, and basis and auxiliary information are provided for supervision and monitoring of the class discipline behaviors by the teacher and/or timely teaching interaction between the teacher and the students, so that the on-line teaching quality and teaching effect of the students can be improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (12)
1. An online live broadcast teaching method is characterized by comprising the following steps:
acquiring video information of a student end during online live broadcasting teaching;
identifying preset behavior characteristics in the video information, wherein the preset behavior characteristics comprise classroom discipline behavior characteristics and/or classroom interaction behavior characteristics;
and prompting the video information with the preset behavior characteristics on a teacher end.
2. The online live teaching method of claim 1, wherein identifying the preset behavior feature in the video information comprises:
and inputting the video information into a recognition model, and outputting the recognized preset behavior characteristics by the recognition model, wherein the recognition model is obtained by training sample data based on the preset behavior characteristics.
3. The online live teaching method of claim 1, wherein identifying the preset behavior feature in the video information comprises:
and recognizing preset behavior characteristics in the video information through the student terminal and equipment except the teacher terminal, and sending the video information with the recognized preset behavior characteristics to the teacher terminal.
4. The on-line live teaching method of claim 1 wherein prompting the video information identifying the predetermined behavior characteristic on a teacher's side comprises:
popping up a video window of the video information with the preset behavior characteristics identified on the teacher end, and amplifying and displaying the video window; or
And flashing and identifying a video window of the video information with the preset behavior characteristics on the teacher side.
5. An online live teaching method as claimed in any one of claims 1 to 4 further comprising:
and for the video information with the recognized preset behavior characteristics, when receiving a confirmation message that the recognized preset behavior characteristics are classroom interaction behavior characteristics, popping up and amplifying to display video windows of the parties participating in the interaction on the student side and the teacher side.
6. An online live broadcast teaching device, comprising:
the video acquisition module is used for acquiring video information of a student end during online live broadcasting teaching;
the behavior identification module is used for identifying preset behavior characteristics in the video information, wherein the preset behavior characteristics comprise classroom discipline behavior characteristics and/or classroom interaction behavior characteristics;
and the behavior prompt module is used for prompting the video information with the recognized preset behavior characteristics on a teacher end.
7. The online live-broadcast teaching device according to claim 6, wherein the behavior recognition module is configured to input the video information into a recognition model, and the recognition model outputs a recognized preset behavior feature, wherein the recognition model is trained based on sample data of the preset behavior feature.
8. The on-line live teaching apparatus of claim 6, wherein the behavior recognition module is disposed on a device other than the student side and the teacher side, and further configured to send the video information with the recognized preset behavior characteristics to the teacher side.
9. The online live-broadcast teaching device according to claim 6, wherein the behavior prompting module is configured to pop up and enlarge and display a video window of the video information with the recognized preset behavior characteristics on the teacher side; or
And flashing and identifying a video window of the video information with the preset behavior characteristics on the teacher side.
10. An online live teaching apparatus as claimed in any one of claims 6 to 9 further comprising:
and the interactive display module is used for popping up and amplifying and displaying video windows of the parties participating in interaction on the student end and the teacher end when receiving the confirmation message that the recognized preset behavior characteristics are classroom interactive behavior characteristics aiming at the video information of which the preset behavior characteristics are recognized.
11. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the live online tutoring method of any of claims 1-5 when executing the computer program.
12. A computer-readable storage medium storing a computer program for executing the online live teaching method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010555736.0A CN111681474A (en) | 2020-06-17 | 2020-06-17 | Online live broadcast teaching method and device, computer equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010555736.0A CN111681474A (en) | 2020-06-17 | 2020-06-17 | Online live broadcast teaching method and device, computer equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111681474A true CN111681474A (en) | 2020-09-18 |
Family
ID=72455436
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010555736.0A Pending CN111681474A (en) | 2020-06-17 | 2020-06-17 | Online live broadcast teaching method and device, computer equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111681474A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113014967A (en) * | 2021-02-22 | 2021-06-22 | 上海居正文化传播有限公司 | Interactive teaching tutoring system and method based on Internet |
| CN113283383A (en) * | 2021-06-15 | 2021-08-20 | 北京有竹居网络技术有限公司 | Live broadcast behavior recognition method, device, equipment and readable medium |
| CN114786027A (en) * | 2022-04-18 | 2022-07-22 | 北京高途云集教育科技有限公司 | Online live broadcast teaching prompting method and device, electronic equipment and storage medium |
| CN115019236A (en) * | 2022-06-27 | 2022-09-06 | 禾麦科技开发（深圳）有限公司 | Mobile phone playing and off-duty detection alarm system and method based on deep learning |
| CN115314746A (en) * | 2021-05-08 | 2022-11-08 | 北京字节跳动网络技术有限公司 | Method and device for realizing online room, electronic equipment and storage medium |
| CN117615182A (en) * | 2024-01-23 | 2024-02-27 | 江苏欧帝电子科技有限公司 | Live broadcast and interaction dynamic switching method, system and terminal based on number of participants |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102013176A (en) * | 2010-12-01 | 2011-04-13 | 曹乃承 | Online learning system |
| CN203455963U (en) * | 2013-09-04 | 2014-02-26 | 李凯 | Remote interactive simulation teaching system |
| US20140377727A1 (en) * | 2013-06-20 | 2014-12-25 | Microsoft Corporation | User Behavior Monitoring On A Computerized Device |
| CN107203953A (en) * | 2017-07-14 | 2017-09-26 | 深圳极速汉语网络教育有限公司 | It is a kind of based on internet, Expression Recognition and the tutoring system of speech recognition and its implementation |
| CN107292271A (en) * | 2017-06-23 | 2017-10-24 | 北京易真学思教育科技有限公司 | Learning-memory behavior method, device and electronic equipment |
| CN108010407A (en) * | 2017-11-30 | 2018-05-08 | 平顶山学院 | A kind of Dancing Teaching Interactive Experience method and system |
| CN108735022A (en) * | 2018-05-24 | 2018-11-02 | 西安恒坐标教育科技集团有限公司 | A kind of outdoor scene teaching platform |
| CN108805035A (en) * | 2018-05-22 | 2018-11-13 | 深圳市鹰硕技术有限公司 | Interactive teaching and learning method based on gesture identification and device |
| CN109448470A (en) * | 2018-11-09 | 2019-03-08 | 杭州赛鲁班网络科技有限公司 | A kind of Online class intelligent interaction device |
| CN109754655A (en) * | 2019-01-21 | 2019-05-14 | 武汉迈辽网络科技有限公司 | A kind of on-line education system based on campus network |
| CN110120000A (en) * | 2019-04-29 | 2019-08-13 | 长沙师范学院 | Multimedia remote interlocking quality of education intelligent monitor system and control method |
| CN110619267A (en) * | 2019-08-02 | 2019-12-27 | 河南科技学院 | Student expression recognition method and system based on deep learning |
| CN110660275A (en) * | 2019-09-18 | 2020-01-07 | 武汉天喻教育科技有限公司 | Teacher-student classroom instant interaction system and method based on video analysis |
| CN110740298A (en) * | 2019-10-28 | 2020-01-31 | 上海交通大学 | Distributed classroom discipline behavior detection system, method and medium |
| CN110992222A (en) * | 2019-11-05 | 2020-04-10 | 深圳追一科技有限公司 | Teaching interaction method and device, terminal equipment and storage medium |
-
2020
- 2020-06-17 CN CN202010555736.0A patent/CN111681474A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102013176A (en) * | 2010-12-01 | 2011-04-13 | 曹乃承 | Online learning system |
| US20140377727A1 (en) * | 2013-06-20 | 2014-12-25 | Microsoft Corporation | User Behavior Monitoring On A Computerized Device |
| CN203455963U (en) * | 2013-09-04 | 2014-02-26 | 李凯 | Remote interactive simulation teaching system |
| CN107292271A (en) * | 2017-06-23 | 2017-10-24 | 北京易真学思教育科技有限公司 | Learning-memory behavior method, device and electronic equipment |
| CN107203953A (en) * | 2017-07-14 | 2017-09-26 | 深圳极速汉语网络教育有限公司 | It is a kind of based on internet, Expression Recognition and the tutoring system of speech recognition and its implementation |
| CN108010407A (en) * | 2017-11-30 | 2018-05-08 | 平顶山学院 | A kind of Dancing Teaching Interactive Experience method and system |
| CN108805035A (en) * | 2018-05-22 | 2018-11-13 | 深圳市鹰硕技术有限公司 | Interactive teaching and learning method based on gesture identification and device |
| CN108735022A (en) * | 2018-05-24 | 2018-11-02 | 西安恒坐标教育科技集团有限公司 | A kind of outdoor scene teaching platform |
| CN109448470A (en) * | 2018-11-09 | 2019-03-08 | 杭州赛鲁班网络科技有限公司 | A kind of Online class intelligent interaction device |
| CN109754655A (en) * | 2019-01-21 | 2019-05-14 | 武汉迈辽网络科技有限公司 | A kind of on-line education system based on campus network |
| CN110120000A (en) * | 2019-04-29 | 2019-08-13 | 长沙师范学院 | Multimedia remote interlocking quality of education intelligent monitor system and control method |
| CN110619267A (en) * | 2019-08-02 | 2019-12-27 | 河南科技学院 | Student expression recognition method and system based on deep learning |
| CN110660275A (en) * | 2019-09-18 | 2020-01-07 | 武汉天喻教育科技有限公司 | Teacher-student classroom instant interaction system and method based on video analysis |
| CN110740298A (en) * | 2019-10-28 | 2020-01-31 | 上海交通大学 | Distributed classroom discipline behavior detection system, method and medium |
| CN110992222A (en) * | 2019-11-05 | 2020-04-10 | 深圳追一科技有限公司 | Teaching interaction method and device, terminal equipment and storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113014967A (en) * | 2021-02-22 | 2021-06-22 | 上海居正文化传播有限公司 | Interactive teaching tutoring system and method based on Internet |
| CN115314746A (en) * | 2021-05-08 | 2022-11-08 | 北京字节跳动网络技术有限公司 | Method and device for realizing online room, electronic equipment and storage medium |
| CN113283383A (en) * | 2021-06-15 | 2021-08-20 | 北京有竹居网络技术有限公司 | Live broadcast behavior recognition method, device, equipment and readable medium |
| CN114786027A (en) * | 2022-04-18 | 2022-07-22 | 北京高途云集教育科技有限公司 | Online live broadcast teaching prompting method and device, electronic equipment and storage medium |
| CN114786027B (en) * | 2022-04-18 | 2024-01-09 | 北京高途云集教育科技有限公司 | Online live broadcast teaching prompting method and device, electronic equipment and storage medium |
| CN115019236A (en) * | 2022-06-27 | 2022-09-06 | 禾麦科技开发（深圳）有限公司 | Mobile phone playing and off-duty detection alarm system and method based on deep learning |
| CN117615182A (en) * | 2024-01-23 | 2024-02-27 | 江苏欧帝电子科技有限公司 | Live broadcast and interaction dynamic switching method, system and terminal based on number of participants |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111681474A (en) | Online live broadcast teaching method and device, computer equipment and readable storage medium | |
| WO2018072390A1 (en) | Classroom teaching recording and requesting method and system | |
| CN105679121B (en) | A kind of intelligent teaching system | |
| WO2019174072A1 (en) | Intelligent robot based training method and apparatus, computer device and storage medium | |
| CN107967830A (en) | Online teaching interaction method, device, equipment and storage medium | |
| CN108389446A (en) | A kind of tutoring system of wisdom blackboard and wisdom classroom | |
| CN111290568A (en) | Interaction method and device and computer equipment | |
| CN112652200A (en) | Man-machine interaction system, man-machine interaction method, server, interaction control device and storage medium | |
| CN112581813A (en) | Intelligent interactive remote education system based on big data | |
| CN110767006A (en) | Situational English learning system | |
| CN112767759A (en) | Interaction method, interaction device, computer equipment and medium for live broadcast network course | |
| CN111028583A (en) | Remote network teaching system and method | |
| CN114067391A (en) | Method and device for identifying behaviors in classroom teaching video | |
| CN109949189A (en) | A kind of online teaching interaction effect evaluation method and device | |
| CN109215419A (en) | Educational robot and Experiencing teaching system | |
| CN116030788B (en) | Intelligent voice interaction method and device | |
| CN116880699A (en) | Multi-person immersive teaching interaction system | |
| CN111564068A (en) | Intelligent online art teaching system | |
| CN110796577A (en) | Information display method based on intelligent class board | |
| CN112712738B (en) | Student display processing method and device and electronic device | |
| Setyawati et al. | The implementation of learning medium: Google Meet application for ELE Students in EFL distance learning | |
| CN113194331A (en) | Remote teaching method for travel teaching | |
| CN111998259A (en) | Intelligent learning auxiliary system based on desk lamp | |
| CN110933510A (en) | Information interaction method in control system | |
| CN110853428A (en) | Recording and broadcasting control method and system based on Internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200918 |
|
| RJ01 | Rejection of invention patent application after publication |