CN113808447A - Network teaching method and system based on AI analysis - Google Patents
Network teaching method and system based on AI analysis Download PDFInfo
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- CN113808447A CN113808447A CN202110992214.1A CN202110992214A CN113808447A CN 113808447 A CN113808447 A CN 113808447A CN 202110992214 A CN202110992214 A CN 202110992214A CN 113808447 A CN113808447 A CN 113808447A
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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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- 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
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
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Abstract
The invention discloses an AI analysis-based network teaching method and system, which can facilitate teachers to know the class condition of students at the first time, help teachers to know the class mastering condition of students and improve teaching interactivity and teaching effect. The specific implementation mode is as follows: the student terminal is used for acquiring real-time lesson information of a student user using the student terminal; the teacher terminal acquires real-time class information of a teacher user using the teacher terminal and sends a request for acquiring student information carried by at least one student terminal; the student terminal sends the requested student information to the AI analysis processing device after acquiring the request information from the teacher terminal, the AI analysis processing device carries out AI analysis processing on the student information sent by the student terminal to obtain an AI analysis result, and the AI analysis result is sent to the teacher terminal through a wired network communication interface or a wireless network communication interface; and the teacher terminal receives and displays the received information.
Description
Technical Field
The invention relates to the technical field of network teaching, in particular to a network teaching method and system based on AI analysis.
Background
The network teaching is a teaching mode which realizes teaching targets by applying multimedia and network technology under the guidance of certain teaching theory and thought and through multi-edge and multi-direction interaction of teachers, students, media and the like and collection, transmission, processing and sharing of teaching information of various media.
However, the current network teaching system only shows video information and voice information through a brief teacher terminal, and the student terminal receives the video information and voice information from the teacher terminal for teaching, so that the teacher is difficult to know whether students really learn in the student terminal in the whole course, and how the learning effect is, the teaching mode does not really realize intelligent and internet teaching, and the traditional teaching mode still has the defect of poor teaching interactivity.
Disclosure of Invention
The invention aims to provide an AI analysis-based network teaching method, which can facilitate teachers to know the class conditions of students in the first time, help teachers to know the class mastering conditions of the students and improve teaching interactivity and teaching effect.
An AI analysis-based network teaching method, comprising:
the student terminal is used for acquiring the student information of the student user who uses the student terminal to attend a class in real time;
the teacher terminal acquires teacher information of a teacher user who uses the teacher terminal to give a class in real time and sends a request for acquiring student information carried by at least one student terminal;
the student terminal sends the requested student information to the AI analysis processing device after acquiring the request information from the teacher terminal, the AI analysis processing device carries out AI analysis processing on the student information sent by the student terminal to obtain an AI analysis result, and the AI analysis result is sent to the teacher terminal through a wired network communication interface or a wireless network communication interface;
and the teacher terminal receives and displays the received information and displays the information to the teacher user of the teacher terminal.
Preferably, the student information includes: at least one of real-time image information, voice information, student identity information, geographical location information of a student terminal, pupil activity information of a student, fingerprint information and account information of the student, wherein the information can be stored for a specified period or permanently.
Preferably, the student terminal sends a request for obtaining teacher information carried by the teacher terminal, the teacher terminal sends the requested teacher information to the student terminal after obtaining the teacher information requested by the student terminal, and the student terminal receives and displays the received teacher information and displays the teacher information to student users of the student terminal.
Preferably, the teacher information includes: the teacher teaching course contains at least one of real-time image information, voice information, teacher identity information, teacher geographical position, courseware content, fingerprint information and account information, which may be stored for a specified period or permanently.
The invention also aims to provide the network teaching system based on AI analysis, which can facilitate teachers to know the class situations of students in the first time, help teachers to know the class mastering conditions of the students and improve teaching interactivity and teaching effect.
An AI-analysis-based network tutoring system comprising:
the student terminal is used for acquiring student information of a student user when the student user uses the student terminal to go to class;
the teacher terminal acquires teacher information when a teacher user uses the teacher terminal to go to class and sends a request for acquiring student information carried by at least one student terminal;
the AI analysis processing device is in electric signal connection with the student terminal and the teacher terminal and is used for carrying out AI analysis processing on student information sent by the student terminal to obtain an AI analysis result;
the server is in signal connection with the student terminals and the teacher terminal through a network, the teacher sends a student information calling command to the student terminals through the teacher terminal, the server receives and sends the calling command to the student terminals, and the student terminals send the calling command to the teacher terminal through the server after obtaining the student information and then sending the calling command to the teacher terminal after being analyzed by the AI analysis processing device.
Preferably, the student terminal comprises:
the student request sending module is used for sending a teacher information obtaining request to the server so that the server can call corresponding teacher information to the teacher terminal;
and the student information receiving module is used for receiving the teacher information sent by the server.
Preferably, the student terminal further comprises at least one of the following modules:
the student camera module is used for collecting real-time image information of students in class;
the student voice module is used for enabling student users to initiate real-time voice communication with the teacher terminal and users of other student terminals;
the student geographic position acquisition module is used for acquiring the geographic position of the student terminal and transmitting the geographic position information to the teacher terminal according to the request transmitted by the teacher terminal;
the student identity information acquisition module is used for acquiring at least one of account information, fingerprint information and personal identity information of a student user;
and the pupil activity track detection module is used for acquiring pupil activity tracks of the student users and carrying out AI analysis processing by the AI analysis processing device.
Preferably, the teacher terminal includes:
the teacher request sending module is used for sending a student information acquisition request to the server so that the server can call corresponding student information to the teacher terminal;
and the teacher information receiving module is used for receiving the student information sent by the server.
Preferably, the teacher terminal further includes at least one of the following modules:
the teacher camera module is used for collecting real-time image information of a teacher in class;
the teacher voice module is used for enabling a teacher user to initiate real-time voice communication with a user of the student terminal;
the teacher position acquisition module is used for acquiring the geographical position of the teacher terminal and transmitting the geographical position information to the student terminals according to the request transmitted by the student terminals;
and the teacher identity information acquisition module is used for acquiring at least one of account information, fingerprint information and personal identity information of the student user.
Through the technical scheme, the invention has the following effects:
1. the teacher terminal can acquire student information at any time, know the class state of the student at the first time (or know the class state through information review after class), and judge the learning condition of the student through the performance and operation of a student user in a classroom, so that the teacher can judge the learning and mastering condition of the student more accurately;
2. the student terminals can acquire teacher information at any time, and can know the lesson information of the teacher at the first time (or know the lesson information through information review after class), so that interactivity can be enhanced, and meanwhile, the student terminals can conveniently review the lesson information;
3. student information or teacher information during the course of the lesson can be saved to facilitate review of the lesson, and other people can learn related contents by reviewing the lesson.
Drawings
FIG. 1 is a flow chart of the AI analysis-based network teaching method of the present invention;
FIG. 2 is a schematic diagram of a third embodiment of the AI-analysis-based network teaching system according to the present invention;
FIG. 3 is a schematic diagram of a fourth embodiment of the AI-analysis-based network teaching system according to the invention;
fig. 4 is a detailed configuration diagram of a student terminal of the present invention;
fig. 5 is a specific configuration diagram of the teacher's terminal of the present invention.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings and examples.
Example one
Please refer to fig. 1, which shows a flow chart of an AI analysis-based network teaching method, which is convenient for a teacher to know the class situation of a student at the first time, and is helpful for the teacher to know the class situation of the student, thereby improving teaching interactivity and teaching effect.
An AI analysis-based network teaching method specifically comprises the following steps:
the student terminal is used for acquiring student information of a student user who uses the student terminal for class in real time, wherein the student information is real-time image information, voice information, student identity information, geographical position information of the student terminal and pupil activity information of the student, and the student information is permanently stored;
the teacher terminal is used for acquiring real-time class information of a teacher user by using the teacher terminal, wherein the teacher information is real-time image information, voice information, teacher identity information, teacher geographic position and courseware content of a teacher teaching class, and the teacher information is permanently stored;
the teacher terminal sends a request for acquiring the student information carried by at least one student terminal;
the student terminal sends the requested student information to the AI analysis processing device after acquiring the request information from the teacher terminal, the AI analysis processing device carries out AI analysis processing on the student information sent by the student terminal to obtain an AI analysis result, and the AI analysis result is sent to the teacher terminal through a wired network communication interface or a wireless network communication interface;
and the teacher terminal receives and displays the received information and displays the information to the teacher user of the teacher terminal.
The AI analysis result comprises a target monitoring event preset by the teacher terminal to the student terminal, and an early warning signal is sent to the server or the teacher terminal, wherein the target monitoring event refers to the occurrence of a preset target behavior in the video; for example, the student leaves the position for more than a specified time (which may be set to 1 minute, 2 minutes, 5 minutes, etc.) during the class, the student sits in front of the computer but is in an abnormal class state such as sleeping, playing games, listening to songs, etc., and the student gives expressions such as confusion and disinterest, etc.
Example two
Different from the first embodiment, the student terminal may also send a request for obtaining teacher information carried by the teacher terminal, the teacher terminal sends the requested teacher information to the student terminal after obtaining the teacher information requested by the student terminal, and the student terminal receives and displays the received teacher information and displays the teacher information to student users of the student terminal.
EXAMPLE III
Referring to fig. 2 and 4, an AI analysis-based network teaching system includes:
the student terminal is used for acquiring student information of a student user when the student user uses the student terminal to go to class;
teacher terminal, including: the teacher request sending module is used for sending a student information acquisition request to the server so that the server can call corresponding student information to the teacher terminal;
and the teacher information receiving module is used for receiving the student information sent by the server.
The AI analysis processing device is in electric signal connection with the student terminal and the teacher terminal and is used for carrying out AI analysis processing on student information sent by the student terminal to obtain an AI analysis result;
the server is in signal connection with the student terminals and the teacher terminal through a network, the teacher sends a student information calling command to the student terminals through the teacher terminal, the server receives and sends the calling command to the student terminals, and the student terminals send the calling command to the teacher terminal through the server after obtaining the student information and then sending the calling command to the teacher terminal after being analyzed by the AI analysis processing device.
The student terminal also comprises the following modules:
the student camera module is used for collecting real-time image information of students in class;
the student voice module is used for enabling student users to initiate real-time voice communication with the teacher terminal and users of other student terminals;
the student geographic position acquisition module is used for acquiring the geographic position of the student terminal and transmitting the geographic position information to the teacher terminal according to the request transmitted by the teacher terminal;
the student identity information acquisition module is used for acquiring account information, fingerprint information and personal identity information of a student user;
and the pupil activity track detection module is used for acquiring pupil activity tracks of the student users and carrying out AI analysis processing by the AI analysis processing device.
Example four
Referring to fig. 3 and 5, in contrast to the third embodiment, the teacher terminal includes the following modules:
the teacher camera module is used for collecting real-time image information of a teacher in class;
the teacher voice module is used for enabling a teacher user to initiate real-time voice communication with a user of the student terminal;
the teacher position acquisition module is used for acquiring the geographical position of the teacher terminal and transmitting the geographical position information to the student terminals according to the request transmitted by the student terminals;
and the teacher identity information acquisition module is used for acquiring account information, fingerprint information and personal identity information of the student user.
Student's terminal is still including:
the student request sending module is used for sending a teacher information obtaining request to the server so that the server can call corresponding teacher information to the teacher terminal;
and the student information receiving module is used for receiving the teacher information sent by the server.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. An AI analysis-based network teaching method is characterized by comprising the following steps:
the student terminal is used for acquiring the student information of the student user who uses the student terminal to attend a class in real time;
the teacher terminal acquires teacher information of a teacher user who uses the teacher terminal to give a class in real time and sends a request for acquiring student information carried by at least one student terminal;
the student terminal sends the requested student information to the AI analysis processing device after acquiring the request information from the teacher terminal, the AI analysis processing device carries out AI analysis processing on the student information sent by the student terminal to obtain an AI analysis result, and the AI analysis result is sent to the teacher terminal through a wired network communication interface or a wireless network communication interface;
and the teacher terminal receives and displays the received information and displays the information to the teacher user of the teacher terminal.
2. The AI analysis-based network teaching method according to claim 1, wherein the AI analysis result includes that the teacher terminal sends an early warning signal to the server or the teacher terminal for a target monitoring event preset by the student terminal, and the target monitoring event refers to a preset target behavior occurring in the video.
3. The AI analysis-based network teaching method according to claim 1, wherein the student information includes: the student information can be stored for a specified period or permanently.
4. The AI analysis-based network teaching method according to claim 1, wherein the student terminal sends a request for obtaining teacher information carried by the teacher terminal, the teacher terminal sends the requested teacher information to the student terminal after obtaining the teacher information requested from the student terminal, and the student terminal receives and displays the received teacher information and displays it to student users of the student terminals.
5. The AI analysis-based network teaching method of claim 4, wherein the teacher information includes: the teacher teaching course contains at least one of real-time image information, voice information, teacher identity information, teacher geographical position and courseware content, which can be stored for a specified period or permanently.
6. An AI-analysis-based network teaching system, comprising:
the student terminal is used for acquiring student information of a student user when the student user uses the student terminal to go to class;
the teacher terminal acquires teacher information when a teacher user uses the teacher terminal to go to class and sends a request for acquiring student information carried by at least one student terminal;
the AI analysis processing device is in electric signal connection with the student terminal and the teacher terminal and is used for carrying out AI analysis processing on student information sent by the student terminal to obtain an AI analysis result;
the server is in signal connection with the student terminals and the teacher terminal through a network, the teacher sends a student information calling command to the student terminals through the teacher terminal, the server receives and sends the calling command to the student terminals, and the student terminals send the calling command to the teacher terminal through the server after obtaining the student information and then sending the calling command to the teacher terminal after being analyzed by the AI analysis processing device.
7. The AI analysis-based network teaching system of claim 6, wherein the student terminal includes:
the student request sending module is used for sending a teacher information obtaining request to the server so that the server can call corresponding teacher information to the teacher terminal;
and the student information receiving module is used for receiving the teacher information sent by the server.
8. The AI analysis-based network teaching system of claim 7, wherein the student terminal further includes at least one of the following modules:
the student camera module is used for collecting real-time image information of students in class;
the student voice module is used for enabling student users to initiate real-time voice communication with the teacher terminal and users of other student terminals;
the student geographic position acquisition module is used for acquiring the geographic position of the student terminal and transmitting the geographic position information to the teacher terminal according to the request transmitted by the teacher terminal;
the student identity information acquisition module is used for acquiring at least one of account information, fingerprint information and personal identity information of a student user;
and the pupil activity track detection module is used for acquiring pupil activity tracks of the student users and carrying out AI analysis processing by the AI analysis processing device.
9. The AI analysis-based network teaching system of claim 6, wherein said teacher terminal includes:
the teacher request sending module is used for sending a student information acquisition request to the server so that the server can call corresponding student information to the teacher terminal;
and the teacher information receiving module is used for receiving the student information sent by the server.
10. The AI analysis-based network teaching system of claim 9 wherein the teacher terminal further includes at least one of the following modules:
the teacher camera module is used for collecting real-time image information of a teacher in class;
the teacher voice module is used for enabling a teacher user to initiate real-time voice communication with a user of the student terminal;
the teacher position acquisition module is used for acquiring the geographical position of the teacher terminal and transmitting the geographical position information to the student terminals according to the request transmitted by the student terminals;
and the teacher identity information acquisition module is used for acquiring at least one of account information, fingerprint information and personal identity information of the student user.
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| CN202110992214.1A CN113808447A (en) | 2021-08-27 | 2021-08-27 | Network teaching method and system based on AI analysis |
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