CN111079113B - Teaching system with artificial intelligent control and use method thereof - Google Patents
Teaching system with artificial intelligent control and use method thereof Download PDFInfo
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- CN111079113B CN111079113B CN201911282847.2A CN201911282847A CN111079113B CN 111079113 B CN111079113 B CN 111079113B CN 201911282847 A CN201911282847 A CN 201911282847A CN 111079113 B CN111079113 B CN 111079113B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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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
Abstract
A teaching system of artificial intelligent control comprises a server, an application module, a storage module and N mobile terminals; the application module and the storage module are respectively connected with the server, the storage module is connected with the application module through data communication, and the mobile terminal is connected with the server through the Internet; the server sends an instruction to the mobile terminal through the application module, acquires data, compares the data with the data inside the storage terminal and makes a judgment; the application module is used for face recognition, attendance checking, in-class analysis, teaching interaction, login and channel automatic matching; the use method of the teaching system comprises the use methods of an attendance checking unit, a verification unit, a detection unit, a course channel matching unit, a in-course state analysis unit, a teaching interaction unit, a course recording unit and a monitoring unit. The teaching system can be used for intelligently checking attendance and analyzing the in-class state of students, not only ensures the integrity of teaching process data, but also is convenient for the students to repeatedly learn and improves the teaching effect.
Description
Technical Field
The invention relates to an intelligent teaching system and a using method thereof, in particular to an artificial intelligent control teaching system and a using method thereof.
Background
Along with the popularization of computers, more and more colleges combine teaching with computers to realize that computer equipment and internet technology can be used for teaching a plurality of students, teachers and students can be effectively communicated to carry out teaching, interactive communication, examination and other different teaching modes, teachers enable each student to independently generate a learning picture through a computer, electronic computer teaching is added, teaching activities of classroom teaching and management are carried out by means of computers, the computers provide teaching materials and various problems, and students directly talk with the computers by using terminals.
The existing teaching system has the following defects:
1. generally, the classroom local area network is used in a connected mode, and the classroom local area network can only be used for learning in a school machine room or a classroom, so that the learning place and times are limited, and the user can not go to next study after class;
2. usually, the teacher can only demonstrate through the computer, and then the students can study again, if the study content is difficult, the students can hardly learn once, and can not watch the study teaching screen again, so that the study difficulty is increased, and the study effect is influenced;
3. learning function is less, does not have better attendance system, and the teacher does not know the student and has or not class, and can't input the teaching in advance to the teacher of giving lessons and look the screen, not only influences the teaching effect, increases the teaching degree of difficulty moreover, has delayed the teaching progress, has wasted a large amount of time.
Disclosure of Invention
The invention aims to provide an artificial intelligent control teaching system and a using method thereof, so as to overcome the defects in the prior art.
The technical scheme adopted by the invention is as follows:
a teaching system of artificial intelligent control comprises a server, an application module, a storage module and N mobile terminals, wherein the N mobile terminals comprise a teacher terminal and a student terminal; the application module is connected with the server through a network port, the storage module is connected with a storage end of the server through a connection port, the storage module is connected with the application module through data communication, and the N mobile terminals are connected with the server through the Internet;
the server is configured to:
(1) Sending an instruction to the mobile terminal through the application module to acquire data;
(2) Comparing the acquired data with the data inside the storage end, and sending a confirmation instruction through the mobile terminal when the acquired data is consistent with the data inside; when the comparison between the acquired data and the inner side data is inconsistent, a negative instruction is sent out through the mobile terminal;
the application module is used for realizing the basic functions of the system, including face recognition, attendance checking, in-class analysis, classroom interaction and automatic matching of login accounts and channels;
the storage module is used for performing data interaction with the server and uploading data to a storage end of the server;
the mobile terminal is used for realizing teaching communication between students and teachers, and comprises teaching demonstration and test question receiving;
the mobile terminal is one of intelligent equipment such as a mobile phone, a tablet personal computer and a notebook computer which can be accessed to WiFi, 4G, 5G and a wired network, the acquisition end of the mobile terminal is connected with an execution terminal camera and a microphone, and the camera is used for acquiring the face information of a user and analyzing the facial expressions of students in a classroom; the microphone is used for collecting the audio of a user;
the application module comprises a verification unit, a detection unit, an attendance checking unit, a class state analysis unit, a teaching interaction unit, a course channel matching unit and a course recording unit;
the verification unit is configured to: the server gives authority, data collected by a camera and a microphone connected with the mobile terminal and a data read-write request are transmitted to the server and are stored in the storage module through the server;
the detection unit is used for: calling the inner side data of the storage module, matching the mobile terminal data with the inner side data, detecting the difference between the mobile terminal data and the inner side data, and independently displaying the difference data through the mobile terminal;
the attendance checking unit is used for: in the process of student login, a server calls a student terminal camera to capture face image data of a student, the image data is compared with the face data in a database, login is successful if the comparison is successful, a lesson is prompted if the comparison is not successful, and a student in the leave-asking state identifies leave-asking notes in the server;
the in-class state analysis unit is used for: connect with storage module, give through the server and transfer mobile terminal camera and microphone authority for collect and store teacher's in the classroom and student's behavioral data:
(1) The server gives the authority to call the camera and the microphone of the mobile terminal, and real-time facial expression data of each student in a classroom are collected;
(2) The number of question-asking interactions of the teacher;
(3) Student's answer data;
the teaching interaction unit is used for:
(1) After collecting teacher image data and sound data through a camera and a microphone, a teacher terminal sends images of a display screen of the teacher terminal, thumbnail images of the teacher image and sound data to student terminals in a channel through a server;
(2) Receiving the teacher terminal display screen image, the teacher figure thumbnail and the audio file by the student terminals in the channels through the network and displaying the teacher terminal display screen image, the teacher figure thumbnail and the audio file in the display screens of the student terminals;
(3) The student terminal microphones collect student audio and send the student audio to the teacher terminal, and the teacher terminal clicks to play the student audio after receiving the audio file;
(4) The teacher terminal pushes the electronic test paper to the student terminal, students answer the electronic test paper at the mobile terminal, all answer data are fed back to the teacher terminal, and the teacher checks the accuracy statistical information of all students through the teacher terminal to judge the classroom quality;
the course channel matching unit is used for: the teacher and the student login system automatically identify the identity of the login person recorded in the storage module, match the class of the login person with the curriculum schedule, assign students belonging to one class to the same class channel, and automatically match the current lessee with the class teaching channel in the curriculum schedule;
the course recording unit is used for:
(1) Automatically recording video and audio multimedia materials of a teacher in the course of class;
(2) After the recording is finished, the data are automatically uploaded to a corresponding storage node in a server, and the node address of the class is sent to students who do not participate in learning for reviewing the knowledge content of the class.
The further technical scheme is as follows: the detection unit further comprises a monitoring unit, and the monitoring unit is used for monitoring the authenticity of the instant data: the monitoring unit calls the picture uploaded by the camera of the mobile terminal by sending an instruction to the mobile terminal and makes a judgment according to the picture dynamic: when the camera calls the picture main body A, the main body A tilts by forty-five degrees and the time exceeds T seconds, the monitoring unit judges that the main body A is in an abnormal state; when the main body A rotates more than three times left and right, the main body A is indicated to have a cheating tendency, and a prompt box pops up to warn the cheating tendency action of the main body A; the T >30.
Further: the storage module also comprises a node management module, wherein the node management module is used for matching the data collected by the mobile terminal with the information list of the data attribute, grouping the data according to the matching attribute of the data, and further storing the grouped different data into the storage module in a node distinguishing way.
Further: the attendance checking unit is in a dynamic non-perception attendance checking mode, and after students log in a classroom through the mobile terminals, the attendance checking unit sends out an image instruction of calling a camera of the student terminal to all the accessed mobile terminals and compares the captured facial feature images with a facial database in the storage module:
(1) Checking in attendance when the comparison is consistent;
(2) Students who do not participate in face comparison prompt for a lesson;
(3) If the student asks for leave before class for approval, the student prompts the leave asking.
Further: the teaching interaction unit is used for teaching links of displaying courseware, films and test papers to students by teachers in class; the method comprises the following steps:
(1) The student terminal receives the real-time teaching explanation image sent by the teacher terminal;
(2) The students use the student terminals to ask questions of teachers;
(3) The teacher terminal pushes the electronic test paper to the student terminals, students answer at the student terminals, and all answer data can be fed back to the teacher terminal;
(4) The teacher checks the accuracy statistical information of all students through the teacher terminal to judge the classroom quality;
(5) The teacher specifies a particular student to demonstrate the answering process steps to the students throughout the class.
Further: the application module is a functional program group installed in the server, and the verification unit, the detection unit, the attendance checking unit, the in-class state analysis unit, the teaching interaction unit, the course channel matching unit and the course recording unit in the application module are all software units with software structures.
The other technical scheme is as follows: an application method of the artificial intelligence control teaching system is the application method of the artificial intelligence control teaching system, and comprises the following steps: the attendance checking unit using method, the verification unit using method, the detection unit using method, the course channel matching unit using method, the in-course state analysis unit using method, the teaching interaction unit using method, the course recording unit using method and the monitoring unit using method;
the use method of the attendance checking unit comprises the following steps:
firstly, a teacher or a student runs a teaching system APP or an application program of a mobile terminal and logs in by using a face recognition or account password authentication mode;
secondly, the system calls a camera of the mobile terminal to capture facial feature information of the human face and compares the facial feature information with the information of the human face library in the storage module;
(1) After the face comparison is successful, the identity of a login person is automatically identified, the current class information is matched, and the identity is added into a class channel;
(2) If the face recognition fails, an account password is selected for login, if the account password is consistent with the user name and password library information in the password login authentication server, the authentication is passed, and after the authentication is passed, the account is automatically recognized and enters a channel matching program;
thirdly, acquiring the class time T1, the current time T2 and the class leaving time T3 of the current course; acquiring a login person list in a class; when T2= T1, starting a timer, calling a verification unit every 5 minutes to perform face comparison attendance checking, judging whether a student exits early, and recording 10 seconds of short video for future reference for the student logged in by an account password; when T2= T3, finishing attendance checking;
the method for using the verification unit comprises the following steps:
the method comprises the steps that firstly, the authority of a mobile terminal computer is obtained through a server, and a camera is called to shoot;
secondly, generating instant data from the shooting data;
step three, instant data are sent to a server;
fourthly, calling the storage data in the storage module for comparison;
fifthly, sending a determining instruction when the comparison is consistent, otherwise sending a comparison inconsistent instruction;
the using method of the detection unit comprises the following steps:
the first step, calling the data inside the memory module, including the face data,
Secondly, matching the data collected by the mobile terminal with the inside data;
thirdly, detecting whether the data of the mobile terminal is consistent with the data of the inner side;
fourthly, calling the distinguishing data through a mobile terminal computer to be displayed independently;
the course channel matching unit using method comprises the following steps:
the first step, obtaining the identity information of the login person, including: identity card number, class, curriculum schedule, class channel list;
secondly, acquiring the current system time T, and reading a curriculum schedule M corresponding to a current time logger in the server;
thirdly, determining a class TM at the current time, adding a login person into the class TM, and distinguishing identity information of a teacher and identity information of students;
fourthly, reading a class TM member list in the storage module, and comparing the registered personnel at the current time with the member list:
(1) The class attendance time is T1, and the normal login is performed before the login time is T1;
(2) The login time is late after T1;
(3) The unregistered course is open;
fifthly, recording the login state into a member list login attribute field;
the using method of the in-class state analysis unit comprises the following steps:
the method comprises the steps of firstly, obtaining the class time T1, the current time T2 and the class leaving time T3 of a current course;
secondly, acquiring control authorities of all cameras and microphones in a channel;
thirdly, acquiring facial expression characteristics of each class, wherein the facial expression characteristics are respectively expressed by codes: x = smile, Y = stupid, Z = normal; counting the time and the number of the facial expression characteristics in the course according to the current course time;
fourthly, acquiring times of demonstration, questioning and answering of a teacher in a classroom and storing the times into a storage module;
step five, when T2= T3, ending the in-class state analysis unit task, and counting the student state and the teacher state of the class;
the use method of the teaching interaction unit comprises the following steps:
step one, teacher screen demonstration:
(1) Acquiring image information of a teacher terminal;
(2) Connecting address information of all student terminals in a current channel;
(3) Transmitting the teacher terminal screen image to the server;
(4) The server synchronously forwards the teacher terminal screen image to the student terminal screen;
step two, file sending:
(1) The teacher selects the students in the channel;
(2) A teacher selects a file to be sent;
(3) After the confirmation of no error, the selected file is sent to the corresponding student terminal desktop through the Internet;
(4) After receiving the file, the student feeds the file back to the teacher terminal to finish the file sending;
thirdly, submitting the operation:
(1) The student selects a teacher in the channel to submit the homework;
(2) The student selects the homework to be submitted:
(3) Sending the homework to a teacher terminal through the Internet;
(4) The teacher successfully receives the job completion job submission;
fourthly, remotely asking questions:
(1) The student selects a teacher in the channel to initiate a question;
(2) The teacher terminal pops up a student question request;
(3) If yes, connecting the audio and the video of the two parties for communication, otherwise, ending the question asking;
the course recording unit using method comprises the following steps:
step one, identifying the information of a mobile terminal of a Teacher loggers, and displaying a code identification Teacher T of a current class Teacher terminal on a picture;
secondly, acquiring a class-taking time T1, a class-leaving time T3 and a system current time T2, and when T2= T1, sending a recording command to a Teacher terminal of a class schedule with a code number of Teacher TM;
thirdly, after the teacher terminal receives the recording command sent by the server, the execution terminal of the teacher terminal, namely a camera and a microphone, starts working: the camera shoots a teacher picture, the picture code is set as W, the microphone records the teacher sound, the recording code is set as S, the teacher terminal picture is recorded, the picture code is set as M, and the course recording information is set as WSM;
fourthly, recording the current time, the course and teacher information and the course with the code number of WSM and storing the recorded information into a server storage module: the current time, course and teacher information comprises time, course and teacher information corresponding to a teacher class video file recorded by the current class, and is set as a code number T-M-Tezcher T;
fifthly, when T2= T3, the server sends an instruction to call a microphone of the Teacher T of the Teacher terminal, the microphone sound-free time TS is used as judgment time, if TS is more than 30 seconds, video recording is stopped, and if not, video recording is continued;
sixthly, reading students leaving class and asking for leave in the current time course table TM, and sending the current time with the recorded code number of T-M-Tezcher T and the video connection addresses of the course and teacher information to the students leaving class and asking for review;
the monitoring unit using method comprises the following steps:
firstly, calling a control right of a computer display screen through a server;
secondly, sending an instruction to the mobile terminal through the server, calling a camera of the mobile terminal to shoot and uploading a student picture;
thirdly, judging according to a system instruction: if the student A inclines for 45 degrees and the time T exceeds 30 seconds in the student picture, the monitoring unit judges that the student A is in an abnormal state; if the student A rotates left and right more than three times, the detection module pops up a prompt box, and the state is abnormal.
Due to the adoption of the technical scheme, compared with the prior art, the teaching system with the artificial intelligent control and the using method thereof have the following beneficial effects:
1. after the teaching of the teacher is started to be finished, the invention can automatically record the video and audio of the teaching content of the teacher through the node management module and store the teaching content into the storage module through the server, thereby not only ensuring the integrity of teaching process data, but also facilitating the repeated study of students: the students log in the system at the post-class time and click the rest-on button, so that the video data of all courses related to the specialty can be checked, and students who ask for leave, have no way to go to class and leave early in the course of the current class can also learn by watching and recording videos;
2. the invention can effectively break through the limitation of teaching regions, so that students are not limited to machine room learning, learning modes and ways are increased, the students can log in the Internet through the mobile terminal to participate in classroom teaching in real time, and can repeatedly learn the in-class visual screen through the mobile terminal at any time, thereby saving time and energy and improving learning effect;
3. according to the invention, the mobile terminal camera can be called by the monitoring unit, and the dynamic state of students is judged effectively, so that if the student cheats is prevented by judging whether the alternative examination phenomenon exists, the invigilation difficulty of teachers is greatly reduced, and each student can perform knowledge test in a relatively fair environment;
4. the invention can analyze the state in class, the function is automatically executed after a teacher clicks a class button, the function is mainly used for counting the class behavior data of teachers and students in class, automatically captures the times of courseware, questions and questions displayed by the teachers in class, automatically captures the facial expressions (smiling, speaking, attention and the like) of the students and reflects the active degree in class; the method comprises the following steps of grabbing the number of times of questioning of students, storing the number of times of questioning of the students in a storage module, forming classroom process state data of teachers and students in a section, forming a teaching quality evaluation system based on classroom big data by combining end-of-term scores of the students after a school period is finished, and performing objective evaluation on teachers and the students;
5. the invention can intelligently match the class teaching channels of the loggers, can automatically identify the identity of the loggers recorded in the storage module when teachers and students log in the system, and can match classes and class schedules to distribute students belonging to one class to the same class channel. The current any lesson teacher is automatically matched with a class teaching channel in the curriculum schedule;
6. the intelligent attendance checking system can effectively carry out intelligent attendance checking on students, and can compare the face characteristic data generated by the students in real time with the face database in the server storage module through the matching use of the attendance checking unit and the server, so that whether the students are on class or not can be judged, the complex steps during attendance checking are reduced, the time is greatly saved, the condition of replacing the attendance checking can be prevented, the authenticity of the attendance checking is increased, and meanwhile, the phenomena of late arrival, early retreat and the like can be effectively judged.
The technical features of an artificial intelligence control teaching system and its using method of the present invention will be further described with reference to the accompanying drawings and embodiments.
Drawings
FIG. 1 is a block diagram of the general architecture of an artificial intelligence control teaching system of the present invention;
FIG. 2 is a flow chart of the working principle of the attendance checking unit;
FIG. 3 is a flow chart of the operating principle of the verification unit;
FIG. 4 is a flow chart of the working principle of the detecting unit and the monitoring unit;
FIG. 5 is a flowchart illustrating the operation of the course channel matching unit;
FIG. 6 is a flowchart illustrating the operation of the course recording unit;
FIG. 7 is a flow chart of the working principle of the teaching interaction unit;
fig. 8 is a flowchart of the operating principle of the in-class state analyzing unit.
Detailed Description
Example one
A teaching system of artificial intelligent control comprises a server, an application module, a storage module and N mobile terminals, wherein the N mobile terminals comprise a teacher terminal and a student terminal; the number of N is determined by the number of students in class, and the number of small classrooms (or machine rooms) can be 20-30, and the number of large classrooms (or machine rooms) can be 60-200.
The application module is connected with the server through a network port, the storage module is connected with a storage end of the server through a connection port, the storage module is connected with the application module through data communication, and the N mobile terminals are connected with the server through the Internet;
the server is configured to:
(1) Sending an instruction to the mobile terminal through the application module to acquire data;
(2) Comparing the acquired data with the data inside the storage end, and sending a confirmation instruction through the mobile terminal when the acquired data is consistent with the data inside; when the comparison between the acquired data and the inside data is inconsistent, a negative instruction is sent out through the mobile terminal;
the application module is used for realizing the basic functions of the system, including face recognition, attendance checking, in-class analysis, classroom interaction and automatic matching of login accounts and channels;
the storage module is used for performing data interaction with the server and uploading data to a storage end of the server;
the mobile terminal is used for realizing teaching communication between students and teachers, and comprises teaching demonstration and test question receiving;
the mobile terminal is one of intelligent equipment such as a mobile phone, a tablet personal computer and a notebook computer which can be accessed to WiFi, 4G, 5G and a wired network, the acquisition end of the mobile terminal is connected with an execution terminal camera and a microphone, and the camera is used for acquiring the face information of a user and analyzing the facial expressions of students in a classroom; the microphone is used for collecting the audio of a user;
the application module comprises a verification unit, a detection unit, an attendance checking unit, a in-class state analysis unit, a teaching interaction unit, a course channel matching unit and a course recording unit;
the verification unit is to: the server gives authority, data collected by a camera and a microphone connected with the mobile terminal and a data read-write request are transmitted to the server and are stored in the storage module through the server;
the detection unit is used for: calling the inner data of the storage module, matching the mobile terminal data with the inner data, detecting the difference between the mobile terminal data and the inner data, and independently displaying the difference data through the mobile terminal;
the attendance checking unit is used for: in the student login process, the server calls a student terminal camera to capture face image data of a student, the image data is compared with face data in a database, login is successful if the comparison is successful, absence is prompted, and a student in the leave-on state identifies the leave-on note in the server;
the in-class state analysis unit is used for:
the in-class state analysis unit is connected with the storage module, and gives permission to call a camera and a microphone of the mobile terminal through the server, so that the behavior data of teachers and students in classes can be collected and stored:
(1) Giving permission to call a camera and a microphone of the mobile terminal through the server, and collecting real-time facial expression data of each student in a classroom;
(2) The number of question-asking interactions of the teacher;
(3) Student's answer data;
the teaching interaction unit is used for:
(1) After the teacher terminal collects teacher image data and sound data through the camera and the microphone, images of a display screen of the teacher terminal, a teacher image thumbnail and sound data are sent to the student terminals in the channels through the server;
(2) Receiving the teacher terminal display screen image, the teacher figure thumbnail and the audio file by the student terminals in the channels through the network and displaying the teacher terminal display screen image, the teacher figure thumbnail and the audio file in the display screens of the student terminals;
(3) The student terminal microphones collect student audio and send the student audio to the teacher terminal, and the teacher terminal clicks to play the student audio after receiving the audio file;
(4) The teacher terminal pushes the electronic test paper to the student terminal, students answer at the mobile terminal, all answer data are fed back to the teacher terminal, and a teacher checks the accuracy statistical information of all students through the teacher terminal to judge the classroom quality;
the course channel matching unit is used for: the teacher and the student login system automatically identify the identity of the login person recorded in the storage module, match the class of the login person with the curriculum schedule, assign students belonging to one class to the same class channel, and automatically match the current lessee with the class teaching channel in the curriculum schedule;
the course recording unit is used for:
(1) Automatically recording video and audio multimedia materials of a teacher in the course of giving lessons;
(2) After the recording is finished, the data are automatically uploaded to a corresponding storage node in a server, and the node address of the class is sent to students who do not participate in learning for reviewing the knowledge content of the class.
The detection unit further comprises a monitoring unit, and the monitoring unit is used for monitoring the authenticity of the instant data:
the monitoring unit calls the picture uploaded by the camera of the mobile terminal by sending an instruction to the mobile terminal and makes a judgment according to the picture dynamic: when the camera calls the picture main body A, the main body A tilts by forty-five degrees and the time exceeds T seconds, the monitoring unit judges that the main body A is in an abnormal state; when the main body A rotates more than three times left and right, the main body A is indicated to have a cheating tendency, and a prompt box pops up to warn the cheating tendency action of the main body A; the T >30.
The storage module also comprises a node management module, wherein the node management module is used for matching the data collected by the mobile terminal with the information list of the data attributes, grouping the data according to the matching attributes of the data, and further storing the grouped different data into the storage module in a node distinguishing manner.
The attendance checking unit is in a dynamic non-perception attendance checking mode, and after students log in a classroom through the mobile terminals, the attendance checking unit sends out an image instruction of calling a camera of the student terminal to all the accessed mobile terminals and compares the captured facial feature images with a facial database in the storage module:
(1) Checking in attendance when the comparison is consistent;
(2) Students who do not participate in face comparison prompt for a lesson;
(3) If the student asks for approval before class, the student prompts for asking for leave.
The teaching interaction unit is used for teaching links of displaying courseware, films and test papers to students by teachers in class; the method comprises the following steps:
(1) The student terminal receives a real-time teaching explanation image sent by the teacher terminal;
(2) The students use the student terminals to ask questions of teachers;
(3) The teacher terminal pushes the electronic test paper to the student terminals, students answer at the student terminals, and all answer data can be fed back to the teacher terminal;
(4) The teacher checks the accuracy statistical information of all students through the teacher terminal to judge the classroom quality;
(5) The teacher designates a specific student to demonstrate the answering process steps to the students in the whole class.
The application module is a functional program group installed in the server, and the verification unit, the detection unit, the attendance checking unit, the in-class state analysis unit, the teaching interaction unit, the course channel matching unit and the course recording unit in the application module are all software units with software structures.
Example two
A method for using an artificial intelligence control teaching system, which is the method for using an artificial intelligence control teaching system described in the first embodiment, comprising: the attendance checking unit application method, the verification unit application method, the detection unit application method, the course channel matching unit application method, the in-course state analysis unit application method, the teaching interaction unit application method, the course recording unit application method and the monitoring unit application method are adopted;
the use method of the attendance checking unit comprises the following steps:
firstly, teachers or students run teaching system APP or application programs of the mobile terminals and log in a face recognition or account password authentication mode;
secondly, the system calls a camera of the mobile terminal to capture facial feature information of the human face and compares the facial feature information with the information of the human face library in the storage module;
(1) After the face comparison is successful, the identity of a login person is automatically identified, the current class information is matched, and the login person is added into a class channel;
(2) If the face recognition fails, an account password is selected for login, if the account password is consistent with the user name and password library information in the password login authentication server, the authentication is passed, and after the authentication is passed, the account is automatically recognized and enters a channel matching program;
thirdly, acquiring the class time T1, the current time T2 and the class leaving time T3 of the current course; acquiring a login person list in a class; when T2= T1, starting a timer, calling a verification unit every 5 minutes to perform face comparison attendance checking, judging whether a student exits early, and recording 10 seconds of short video for future reference for the student logged in by an account password; when T2= T3, finishing attendance checking;
the verification unit using method comprises the following steps:
the method comprises the steps that firstly, the authority of a mobile terminal computer is obtained through a server, and a camera is called to shoot;
secondly, generating instant data from the shooting data;
step three, instant data are sent to a server;
fourthly, calling the storage data in the storage module for comparison;
fifthly, sending a determining instruction when the comparison is consistent, otherwise sending a comparison inconsistent instruction;
the using method of the detection unit comprises the following steps:
the first step, calling the data inside the memory module, including the face data,
Secondly, matching the data collected by the mobile terminal with the inside data;
thirdly, detecting whether the data of the mobile terminal is consistent with the data of the inner side;
fourthly, calling the distinguishing data through a mobile terminal computer to be displayed independently;
the course channel matching unit using method comprises the following steps:
the first step, obtaining the identity information of the login person, including: identity card number, class, curriculum schedule, class channel list;
secondly, acquiring the current system time T, and reading a curriculum schedule M corresponding to a current time logger in the server;
thirdly, determining a class TM at the current time, adding a login person into the class TM, and distinguishing identity information of a teacher and identity information of students;
fourthly, reading a class TM member list in the storage module, and comparing the registered personnel at the current time with the member list:
(1) The class attendance time is T1, and the normal login is performed before the login time T1;
(2) The login time is late after T1;
(3) The unregistered course is open;
fifthly, recording the login state into a member list login attribute field;
the in-class state analysis unit using method comprises the following steps:
step one, acquiring the class attendance time T1, the current time T2 and the class attendance time T3 of a current course;
secondly, acquiring control authorities of all cameras and microphones in a channel;
thirdly, acquiring facial expression characteristics of each student in class, wherein the facial expression characteristics are respectively expressed by codes as: x = smile, Y = stupid, Z = normal; counting the time and the number of facial expression features in the course according to the current course time;
fourthly, acquiring times of demonstration, question asking and question answering of the teacher in the classroom and storing the times into a storage module;
fifthly, when T2= T3, ending the task of the in-class state analysis unit, and counting the states of students and teachers in the class;
the use method of the teaching interaction unit comprises the following steps:
step one, teacher screen demonstration:
(1) Acquiring image information of a teacher terminal;
(2) Connecting address information of all student terminals in a current channel;
(3) Transmitting the teacher terminal screen image to the server;
(4) The server synchronously forwards the teacher terminal screen image to the student terminal screen;
and secondly, file sending:
(1) The teacher selects the students in the channel;
(2) The teacher selects the file to be sent;
(3) After the confirmation of no error, the selected file is sent to the corresponding student terminal desktop through the Internet;
(4) The students receive the files and then feed back the files to the teacher terminal to finish the file sending;
thirdly, submitting the operation:
(1) The student selects a teacher in the channel to submit the homework;
(2) The student selects the homework to be submitted:
(3) Sending the homework to a teacher terminal through the Internet;
(4) The teacher successfully receives the job completion job submission;
fourthly, remotely asking questions:
(1) The student selects a teacher in the channel to initiate a question;
(2) The teacher terminal pops up a student question request;
(3) If yes, connecting the audio and the video of the two parties for communication, otherwise, ending the question asking;
the course recording unit using method comprises the following steps:
step one, identifying the information of a mobile terminal of a Teacher loggers, and displaying a code identification Teacher T of a current class Teacher terminal on a picture;
secondly, obtaining a class time T1, a class leaving time T3 and a system current time T2, and when T2= T1, the server sends a recording command to a Teacher terminal with a code number of Teacher TM for class on the class schedule at the current class;
thirdly, after the teacher terminal receives the recording command sent by the server, the executive terminal of the teacher terminal, namely the camera and the microphone, starts working: the camera shoots a teacher picture, the picture code is set as W, the microphone records the teacher sound, the recording code is set as S, the teacher terminal picture is recorded, the picture code is set as M, and the course recording information is set as WSM;
fourthly, recording the current time, the course and teacher information and the course with the code number of WSM and storing the recorded information into a server storage module: the current time, course and teacher information comprises time, course and teacher information corresponding to a teacher class video file recorded by the current class, and is set as a code number T-M-Tezcher T;
fifthly, when T2= T3, the server sends an instruction to call a microphone of the Teacher terminal Teacher T, the microphone sound-free time TS is used as judgment time, if TS is more than 30 seconds, video recording is stopped, and otherwise video recording is continued;
sixthly, reading students who leave the course and leave the course in the current time course table TM, and sending the current time with the recorded code number of T-M-Tezcher T, the video connection address of the course and the teacher information to the students who leave the course and leave the course for review;
the monitoring unit using method comprises the following steps:
firstly, calling a control right of a computer display screen through a server;
secondly, sending an instruction to the mobile terminal through the server, calling a camera of the mobile terminal to shoot and uploading a student picture;
thirdly, judging according to a system instruction: if the student A inclines for 45 degrees and the time T exceeds 30 seconds in the student picture, the monitoring unit judges that the student A is in an abnormal state; if the student A rotates left and right more than three times, the detection module pops up a prompt box, and the state is abnormal.
Claims (7)
1. The utility model provides an artificial intelligence control's teaching system which characterized in that: the system comprises a server, an application module, a storage module and N mobile terminals, wherein the N mobile terminals comprise a teacher terminal and a student terminal;
the application module is connected with the server through a network port, the storage module is connected with a storage end of the server through a connection port, the storage module is connected with the application module through data communication, and the N mobile terminals are connected with the server through the Internet;
the server is configured to:
(1) Sending an instruction to the mobile terminal through the application module to acquire data;
(2) Comparing the acquired data with the data inside the storage end, and sending a confirmation instruction through the mobile terminal when the acquired data is consistent with the data inside; when the comparison between the acquired data and the inside data is inconsistent, a negative instruction is sent out through the mobile terminal;
the application module is used for realizing the basic functions of the system, including face recognition, attendance checking, in-class analysis, classroom interaction and automatic matching of login accounts and channels;
the storage module is used for performing data interaction with the server and uploading data to a storage end of the server;
the mobile terminal is used for realizing teaching communication between students and teachers, and comprises teaching demonstration and test question receiving;
the mobile terminal is one of intelligent equipment such as a mobile phone, a tablet personal computer and a notebook computer which can be accessed to WiFi, 4G, 5G and a wired network, the acquisition end of the mobile terminal is connected with an execution terminal camera and a microphone, and the camera is used for acquiring the face information of a user and analyzing the facial expressions of students in a classroom; the microphone is used for collecting the audio of a user;
the application module comprises a verification unit, a detection unit, an attendance checking unit, a in-class state analysis unit, a teaching interaction unit, a course channel matching unit and a course recording unit;
the verification unit is configured to: the server gives authority, data collected by a camera and a microphone connected with the mobile terminal and a data read-write request are transmitted to the server and are stored in the storage module through the server;
the detection unit is used for: calling the inner data of the storage module, matching the mobile terminal data with the inner data, detecting the difference between the mobile terminal data and the inner data, and independently displaying the difference data through the mobile terminal;
the attendance checking unit is used for: in the student login process, the server calls a student terminal camera to capture face image data of a student, the image data is compared with face data in a database, login is successful if the comparison is successful, absence is prompted, and a student in the leave-on state identifies the leave-on note in the server;
the in-class state analysis unit is used for: be connected with storage module, give through the server and transfer mobile terminal camera and microphone authority for collect and store teacher's in the classroom and student's behavioral data:
(1) The server gives the authority to call the camera and the microphone of the mobile terminal, and real-time facial expression data of each student in a classroom are collected;
(2) The number of question-asking interactions of the teacher;
(3) Student's answer data;
the teaching interaction unit is used for:
(1) After the teacher terminal collects teacher image data and sound data through the camera and the microphone, images of a display screen of the teacher terminal, a teacher image thumbnail and sound data are sent to the student terminals in the channels through the server;
(2) Receiving the teacher terminal display screen image, the teacher figure thumbnail and the audio file by the student terminals in the channels through the network and displaying the teacher terminal display screen image, the teacher figure thumbnail and the audio file in the display screens of the student terminals;
(3) The student terminal microphones collect student audio and send the student audio to the teacher terminal, and the teacher terminal clicks to play the student audio after receiving the audio file;
(4) The teacher terminal pushes the electronic test paper to the student terminal, students answer the electronic test paper at the mobile terminal, all answer data are fed back to the teacher terminal, and the teacher checks the accuracy statistical information of all students through the teacher terminal to judge the classroom quality;
the course channel matching unit is used for: the teacher and the student login system automatically identify the identity of the login person recorded in the storage module, match the class of the login person with the curriculum schedule, assign students belonging to one class to the same class channel, and automatically match the current lessee with the class teaching channel in the curriculum schedule;
the course recording unit is used for:
(1) Automatically recording video and audio multimedia materials of a teacher in the course of class;
(2) After the recording is finished, the data are automatically uploaded to corresponding storage nodes in the server, and the node addresses of the class are sent to students who do not participate in learning to review the knowledge contents of the class.
2. An artificial intelligence controlled instruction system according to claim 1, wherein: the detection unit further comprises a monitoring unit, and the monitoring unit is used for monitoring the authenticity of the instant data:
the monitoring unit calls the picture uploaded by the camera of the mobile terminal by sending an instruction to the mobile terminal and makes a judgment according to the picture dynamic: when the main body of the image taken by the camera is A, the main body A inclines for forty-five degrees and the time exceeds T seconds, the monitoring unit judges that the main body A is in an abnormal state; when the main body A rotates more than three times left and right, the main body A is indicated to have a cheating tendency, and a prompt box pops up to warn the cheating tendency action of the main body A; the T >30.
3. An artificial intelligence controlled instruction system according to claim 2, wherein: the storage module also comprises a node management module, wherein the node management module is used for matching the data collected by the mobile terminal with the information list of the data attribute, grouping the data according to the matching attribute of the data, and further storing the grouped different data into the storage module in a node distinguishing way.
4. An artificial intelligence controlled instruction system according to claim 3, wherein: the attendance checking unit is in a dynamic non-perception attendance checking mode, and after students log in a classroom through the mobile terminals, the attendance checking unit sends out an image instruction of calling a camera of the student terminal to all the accessed mobile terminals and compares the captured facial feature images with a facial database in the storage module:
(1) Checking in attendance when the comparison is consistent;
(2) Students who do not participate in face comparison prompt for absenteeism;
(3) If the student asks for approval before class, the student prompts for asking for leave.
5. An artificial intelligence controlled instruction system according to claim 4, wherein: the teaching interaction unit is used for teaching links of displaying courseware, films and test papers to students by teachers in class; the method comprises the following steps:
(1) The student terminal receives a real-time teaching explanation image sent by the teacher terminal;
(2) The students use the student terminals to ask questions of teachers;
(3) The teacher terminal pushes the electronic test paper to the student terminals, students answer at the student terminals, and all answer data can be fed back to the teacher terminal;
(4) A teacher checks the accuracy statistical information of all students through a teacher terminal to judge the classroom quality;
(5) The teacher specifies a particular student to demonstrate the answering process steps to the students throughout the class.
6. An artificial intelligence controlled instruction system according to claim 5, wherein: the application module is a functional program group installed in the server, and the verification unit, the detection unit, the attendance checking unit, the in-class state analysis unit, the teaching interaction unit, the course channel matching unit and the course recording unit in the application module are all software units with software structures.
7. The use method of the teaching system controlled by the artificial intelligence is characterized in that: the method of claim 6 for using an artificial intelligence teaching system, comprising: the attendance checking unit using method, the verification unit using method, the detection unit using method, the course channel matching unit using method, the in-course state analysis unit using method, the teaching interaction unit using method, the course recording unit using method and the monitoring unit using method;
the use method of the attendance checking unit comprises the following steps:
firstly, a teacher or a student runs a teaching system APP or an application program of a mobile terminal and logs in by using a face recognition or account password authentication mode;
secondly, the system calls a camera of the mobile terminal to grab the facial feature information of the human face and compares the facial feature information with the human face library information in the storage module;
(1) After the face comparison is successful, the identity of a login person is automatically identified, the current class information is matched, and the login person is added into a class channel;
(2) If the face recognition fails, an account password is selected for login, if the account password is consistent with the user name and password library information in the password login authentication server, the authentication is passed, and after the authentication is passed, the account is automatically recognized and enters a channel matching program;
thirdly, acquiring the class time T1, the current time T2 and the class leaving time T3 of the current course; acquiring a login person list in a class; when T2= T1, starting a timer, calling a verification unit every 5 minutes to perform face comparison attendance checking, judging whether a student exits early, and recording 10 seconds of short video for future reference for the student logged in by an account password; when T2= T3, finishing attendance checking;
the verification unit using method comprises the following steps:
the method comprises the steps that firstly, the authority of a mobile terminal computer is obtained through a server, and a camera is called to shoot;
secondly, generating instant data from the shooting data;
step three, instant data are sent to a server;
fourthly, calling the storage data in the storage module for comparison;
fifthly, sending a determining instruction when the comparison is consistent, otherwise sending a comparison inconsistent instruction;
the using method of the detection unit comprises the following steps:
firstly, calling the data inside the storage module, including the face data,
Secondly, matching the data collected by the mobile terminal with the inside data;
thirdly, detecting whether the data of the mobile terminal is consistent with the data of the inner side;
fourthly, calling the distinguishing data through a mobile terminal computer to be displayed independently;
the course channel matching unit using method comprises the following steps:
the first step, obtaining the identity information of the login person, including: identity card number, class, curriculum schedule, class channel list;
secondly, acquiring the current system time T, and reading a curriculum schedule M corresponding to a current time logger in the server;
thirdly, determining a class TM at the current time, adding a login person into the class TM, and distinguishing identity information of a teacher and identity information of students;
fourthly, reading a class TM member list in the storage module, and comparing the registered personnel at the current time with the member list:
(1) The class attendance time is T1, and the normal login is performed before the login time T1;
(2) The login time is late after T1;
(3) The unregistered course is open;
fifthly, recording the login state into a member list login attribute field;
the in-class state analysis unit using method comprises the following steps:
step one, acquiring the class attendance time T1, the current time T2 and the class attendance time T3 of a current course;
secondly, acquiring control authorities of all cameras and microphones in the channels;
thirdly, acquiring facial expression characteristics of each class, wherein the facial expression characteristics are respectively expressed by codes: x = smile, Y = stupid, Z = normal; counting the time and the number of the facial expression characteristics in the course according to the current course time;
fourthly, acquiring times of demonstration, question asking and question answering of the teacher in the classroom and storing the times into a storage module;
fifthly, when T2= T3, ending the task of the in-class state analysis unit, and counting the states of students and teachers in the class;
the use method of the teaching interaction unit comprises the following steps:
step one, teacher screen demonstration:
(1) Acquiring image information of a teacher terminal;
(2) Connecting address information of all student terminals in a current channel;
(3) Transmitting the teacher terminal screen image to the server;
(4) The server synchronously forwards the teacher terminal screen image to the student terminal screen;
step two, file sending:
(1) The teacher selects students in the channel;
(2) The teacher selects the file to be sent;
(3) After the confirmation of no error, the selected file is sent to the corresponding student terminal desktop through the Internet;
(4) The students receive the files and then feed back the files to the teacher terminal to finish the file sending;
thirdly, submitting the operation:
(1) The student selects a teacher in the channel to submit the homework;
(2) The student selects the homework to be submitted:
(3) Sending the operation to a teacher terminal through the Internet;
(4) The teacher successfully receives the job completion job submission;
fourthly, remotely asking questions:
(1) The student selects a teacher in the channel to initiate a question;
(2) The teacher terminal pops up a student question request;
(3) If yes, connecting the audio and the video of the two parties for communication, otherwise, ending the question asking;
the course recording unit using method comprises the following steps:
step one, identifying the information of a mobile terminal of a Teacher loggers, and displaying a code identification Teacher T of a current class Teacher terminal on a picture;
secondly, acquiring a class-taking time T1, a class-leaving time T3 and a system current time T2, and when T2= T1, sending a recording command to a Teacher terminal of a class schedule with a code number of Teacher TM;
thirdly, after the teacher terminal receives the recording command sent by the server, the executive terminal of the teacher terminal, namely the camera and the microphone, starts working: the camera shoots a teacher picture, the picture code is set as W, the microphone records the teacher sound, the recording code is set as S, the picture of the teacher terminal is recorded, the picture code is set as M, and the course recording information is set as WSM;
fourthly, recording the current time, the course and teacher information and the course with the code number of WSM and storing the recorded information into a server storage module: the current time, course and teacher information comprises time, course and teacher information corresponding to a teacher class video file recorded by the current class, and is set as a code number T-M-Tezcher T;
fifthly, when T2= T3, the server sends an instruction to call a microphone of the Teacher T of the Teacher terminal, the microphone sound-free time TS is used as judgment time, if TS is more than 30 seconds, video recording is stopped, and if not, video recording is continued;
sixthly, reading students who leave the course and leave the course in the current time course table TM, and sending the current time with the recorded code number of T-M-Tezcher T, the video connection address of the course and the teacher information to the students who leave the course and leave the course for review;
the monitoring unit using method comprises the following steps:
firstly, calling a control right of a computer display screen through a server;
secondly, sending an instruction to the mobile terminal through the server, calling a camera of the mobile terminal to shoot and upload a student picture;
thirdly, judging according to a system instruction: if the student A inclines for 45 degrees and the time T exceeds 30 seconds in the student picture, the monitoring unit judges that the student A is in an abnormal state; if the student A rotates left and right for more than three times, the detection module pops up a prompt box, and the state is abnormal.
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