CN114693480A - A teachers and students real-time interactive system for practising course - Google Patents
A teachers and students real-time interactive system for practising course Download PDFInfo
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Abstract
The invention discloses a teacher-student real-time interaction system for practicing courses, which comprises a teacher terminal and student terminals, wherein the teacher terminal comprises an all-in-one machine inside, the teacher terminal is in communication connection with the student terminals, the teacher terminal also comprises an image system, a task arrangement module, a question module, a teaching log generation module, a processing system and an attendance system inside, the image system comprises an image acquisition module, an image identification module and a face extraction module inside, and the image system acquires and identifies images of students in the teaching process; the attention of the students in the course of listening is effectively judged by matching the limbs, the expression recognition module and the voice extraction module in the processing system, and the deep learning module is combined with the class answering times, answering accuracy and homework completion degree of the students to obtain learning suggestions and facilitate the correction of the students.
Description
Technical Field
The invention relates to the technical field of real-time interactive teaching of teachers and students, in particular to a real-time interactive system for teachers and students for practicing courses.
Background
Through retrieval, a utility model with a Chinese patent number of CN111243361A discloses a teacher-student real-time interaction system for practice courses, which comprises a teaching server, a teacher terminal and student terminals, wherein the teaching server is respectively connected with an interaction display, a plurality of student terminals, a cloud end and the teacher terminal, and also comprises student peripheral equipment and a judgment device which are connected with the student terminals, and the cloud end is connected with the teacher terminal; the interactive teaching system strengthens real-time communication and interaction between the teacher and the students in practice courses through the combined action of the teaching server, the student terminals and the teacher terminal, improves the learning enthusiasm of the students for the courses through the interactive communication of the interactive display, and can effectively feed back the effect of teaching contents to teaching teachers through the interactive display and the teacher terminal.
However, the above system can only facilitate the viewing of the attendance rate and the teaching feedback of the students in the using process, but is difficult to observe the enthusiasm of the students in the class in the actual teaching process, and meanwhile, the attention of the students in the class cannot be accurately known, and the subsequent learning of the students cannot be suggested according to the performance inside and outside the class, so that a real-time teacher-student interaction system for practicing courses is needed.
Disclosure of Invention
The invention aims to solve the defects that the enthusiasm of students in a classroom is difficult to observe and the attention of the students in the classroom cannot be accurately known in the prior art, and provides a teacher-student real-time interaction system for practicing courses.
In order to achieve the purpose, the invention adopts the following technical scheme:
a teacher-student real-time interaction system for practicing courses comprises a teacher terminal and student terminals, wherein the teacher terminal comprises an all-in-one machine, the teacher terminal is in communication connection with the student terminals, the teacher terminal further comprises an image system, a task arrangement module, a question asking module, a teaching log generation module, a processing system and an attendance system, the image system comprises an image acquisition module, an image identification module and a face extraction module, and the image system acquires and identifies images of students in a teaching process;
the processing system comprises limbs, an expression recognition module, a voice extraction module and a deep learning module, extracts the limbs, the expressions and the corresponding voices of the students and performs deep learning so as to judge the lecture listening condition of the students;
the student terminal comprises a feedback module, a card punching module, a question asking module and a file uploading module, application data in the student terminal are transmitted to the teacher terminal in real time, and meanwhile, images and audio data in the student terminal are uploaded to the teacher terminal.
The above technical solution further comprises:
the image acquisition module acquires image data transmitted to students in the student terminal, the image acquisition module transmits the acquired data to the image recognition module, the image recognition module processes the data, noise points in the image are reduced, the brightness of the image is improved, the image recognition module recognizes the processed image, and the content recognized by the image recognition module comprises facial features and body states of the students.
The image recognition module transmits the recognized image data to the face extraction module, the face extraction module extracts facial features of students in the received data, the image system is in communication connection with the processing system, and the image system transmits the recognized data to the processing system.
The teacher passes through the task arranges the module and publishes the homework task, the task arrange the module with communication connection between the student terminal, the task arranges the module and transmits the homework task of publishing to each in the student terminal, the teacher passes through the questioning module sends out the question to the problem in the classroom, questioning module with communication connection between the student terminal, questioning module will send the problem transmit to every in the student terminal.
The teaching log generation module automatically generates teaching logs according to teaching contents of teachers in the class, questions, issued homework and answer conditions of students.
The student feeds back problems in a classroom through the feedback module, the feedback module transmits the fed-back contents to the teaching log generation module for gathering, the student punches the card in the classroom through the punching module, and the punching module transmits the punched card data to the attendance system for gathering.
The student passes through the homework that the teacher published upload the module and uploads, file upload module with the file transmission to in the teacher terminal, the classmate passes through the question module answers the problem that the teacher proposed, and the number of times of the problem that student's answer and the exactness of answering are recorded to student terminal simultaneously.
The body and expression recognition module recognizes facial expressions of students according to acquired image data and facial data, the voice extraction module extracts voices of the students during class, the voice extraction module partially extracts and recognizes the voices, when the voice extraction module recognizes that the voices are irrelevant to the content of the class, the voice extraction module transmits student information corresponding to the recognized voices to the all-in-one machine for display, and the deep learning module deeply learns the class performance of the students according to the data in the body, the expression recognition module and the voice extraction module so as to score the class performance of the students, and the deep learning module combines the class answering times, answering accuracy and work completion degree of the students to obtain learning suggestions.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the body state and the facial features can be extracted through the matched use of the image acquisition module, the image recognition module and the facial extraction module in the image system, then the effective judgment of the attention of students in the course of listening is realized through the matched use of the limbs, the expression recognition module and the voice extraction module in the processing system, and the learning suggestion is obtained through the deep learning module in combination with the classroom answering times, answering accuracy and operation completion degree of the students, so that the correction of the students is facilitated.
Drawings
FIG. 1 is a system diagram of a teacher terminal in a real-time teacher-student interaction system for practicing courses according to the present invention;
FIG. 2 is a system block diagram of a student terminal of the present invention;
FIG. 3 is a system block diagram of an imaging system according to the present invention;
FIG. 4 is a system block diagram of a processing system of the present invention;
FIG. 5 is a schematic diagram of the connection between a teacher terminal and a student terminal according to the present invention; .
In the figure: 1. a teacher terminal; 2. a student terminal; 3. an image system; 4. a task arrangement module; 5. a question module; 6. a teaching log generation module; 7. a processing system; 8. an attendance system; 9. A feedback module; 10. a card punching module; 11. a question module; 12. a file uploading module; 13. an image acquisition module; 14. an image recognition module; 15. a face extraction module; 16. a limb and expression recognition module; 17. a voice extraction module; 18. and a deep learning module.
Detailed Description
The technical solution of the present invention is further explained with reference to the accompanying drawings and specific embodiments.
Example one
As shown in fig. 1-5, the teacher-student real-time interaction system for practicing courses provided by the invention comprises a teacher terminal 1 and a student terminal 2, wherein the teacher terminal 1 comprises an all-in-one machine, the teacher terminal 1 is in communication connection with the student terminal 2, the teacher terminal 1 comprises an image system 3, a task arrangement module 4, a question module 5, a teaching log generation module 6, a processing system 7 and an attendance system 8, the image system 3 comprises an image acquisition module 13, an image identification module 14 and a face extraction module 15, and the image system 3 acquires and identifies images of students in a teaching process;
the processing system 7 comprises a limb, expression recognition module 16, a voice extraction module 17 and a deep learning module 18, the processing system 7 extracts the limb, the expression and the corresponding voice of the student and performs deep learning, so as to judge the lecture listening status of the student;
the student terminal 2 internally comprises a feedback module 9, a card punching module 10, a question asking module 11 and a file uploading module 12, application data in the student terminal 2 are transmitted to the teacher terminal 1 in real time, and simultaneously, image and audio data in the student terminal 2 are uploaded to the teacher terminal 1;
the image acquisition module 13 acquires image data of students transmitting to the student terminal 2, the image acquisition module 13 transmits the acquired data to the image recognition module 14, the image recognition module 14 processes the data, noise in the image is reduced, the brightness of the image is improved, the image recognition module 14 recognizes the processed image, and the contents recognized by the image recognition module 14 comprise facial features and body states of the students;
the image recognition module 14 transmits the recognized image data to the face extraction module 15, the face extraction module 15 extracts facial features of students in the received data, the image system 3 is in communication connection with the processing system 7, and the image system 3 transmits the recognized data to the processing system 7.
The working principle of the teacher-student real-time interaction system for the practical course based on the first embodiment is that when the teacher-student real-time interaction system works, the image acquisition module 13 acquires image data of students in the student terminal 2, the image acquisition module 13 transmits the acquired image data to the image recognition module 14, and the image recognition module 14 processes the image data, so that noise in the image is reduced, and the brightness of the image is improved;
the image recognition module 14 recognizes the processed image, the recognized content includes facial features and physical state of the student, the facial extraction module 15 extracts the facial features of the student from the received data, and the image system 3 transmits the recognized data to the processing system 7.
Example two
As shown in fig. 1 to 5, based on the first embodiment, a teacher issues a job task through the task arrangement module 4, the task arrangement module 4 is in communication connection with the student terminals 2, the task arrangement module 4 transmits the issued job task to each student terminal 2, the teacher issues a question for a question in a classroom through the question module 5, the question module 5 is in communication connection with the student terminals 2, and the question module 5 transmits the issued question to each student terminal 2;
the teaching log generation module 6 automatically generates teaching logs according to teaching contents, questions, issued homework and answer conditions of students of a teacher in the class;
limbs, facial expression of student is discerned according to image data and the facial data that acquire to expression recognition module 16, pronunciation when the pronunciation extraction module 17 is gone up the student and is drawed, pronunciation extraction module 17 carries out the part extraction discernment to the pronunciation simultaneously, when the pronunciation is discerned in the pronunciation and when the content of this classroom is irrelevant in, pronunciation extraction module 17 shows in the all-in-one with the student information transmission that discerns the pronunciation correspondence, deep learning module 18 is according to limbs, the data in expression recognition module 16 and the pronunciation extraction module 17 carries out the deep learning to student's classroom expression simultaneously, thereby grade student's classroom expression, deep learning module 18 combines student's classroom number of times of answering, the completion degree of answer accuracy and operation, thereby reachs the study suggestion.
In the embodiment, when the student terminal works, a teacher issues a homework task through the task arrangement module 4, the task arrangement module 4 transmits the issued homework task to each student terminal 2, the teacher issues a question to a question in a classroom through the question module 5, and the question module 5 transmits the issued question to each student terminal 2;
the teaching log generation module 6 automatically generates a teaching log according to the teaching content, the questions, the published homework and the answer conditions of the students of the teacher in the class, so that the teacher can conveniently check the teaching log, find out and correct the problems in the class;
the limb and expression recognition module 16 recognizes facial expressions of the students according to the acquired image data and the facial data, and when abnormal characteristics such as cheerful and the like of facial characteristics of the students are detected, the limb and expression recognition module 16 transmits student information corresponding to the recognized voice to the all-in-one machine for displaying, so that a teacher is helped to quickly remind the students;
the voice extraction module 17 extracts voices of students in class, meanwhile, the voice extraction module 17 partially extracts and identifies the voices, and when the voice extraction module 17 identifies that the voices are irrelevant to the content of the class, the voice extraction module 17 transmits student information corresponding to the identified voices to the all-in-one machine for displaying, so that a teacher can be helped to timely stop the actions of the students irrelevant to the class;
the deep learning module 18 performs deep learning on the classroom performance of the students according to the data in the limb and expression recognition module 16 and the voice extraction module 17 so as to grade the classroom performance of the students, and the deep learning module 18 combines the classroom answering times, answering accuracy and homework completion degree of the students so as to obtain learning suggestions and facilitate the correction of the students;
the acquired images are stored in a server (in the prior art, the server is not shown in the figure), and the server cleans the stored images every day.
EXAMPLE III
As shown in fig. 1-5, based on the first or second embodiment, the student feeds back the problems existing in the classroom through the feedback module 9, the feedback module 9 transmits the feedback contents to the teaching log generation module 6 for summarizing, the student punches the card in the classroom through the card punching module 10, and the card punching module 10 transmits the data of punching the card to the attendance system 8 for summarizing;
the students upload homework issued by teachers through the file uploading module 12, the file uploading module 12 transmits files to the teacher terminal 1, students answer questions provided by teachers through the questioning module 11, and meanwhile, the student terminal 2 records the times of the questions answered by the students and the accuracy of the answers.
In the embodiment, during work, students feed back problems in a classroom through the feedback module 9, the fed-back problems are transmitted to the teaching log generation module 6 to be collected, after the students log in an account number in the process of each class, class punching is performed through the punching module 10, the punching module 10 synchronizes punching data to the attendance system 8 to be collected, and a teacher can conveniently check attendance of the students in time;
for the homework published by the teacher, the student uploads the homework through the file uploading module 12, the file uploading module 12 transmits the file to the teacher terminal 1, the students answer the questions proposed by the teacher through the questioning module 11, meanwhile, the student terminal 2 records the times of the questions answered by the student and the accuracy of the answers, and for the homework uploaded by the student, the teacher stores the homework in the server after commenting, and the storage time is one school year.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. The utility model provides a teachers and students real-time interaction system for practicing course, includes teacher terminal (1) and student terminal (2), the inside of teacher terminal (1) includes the all-in-one, its characterized in that, teacher terminal (1) with communication connection between student terminal (2), the inside of teacher terminal (1) still includes image system (3), task arrangement module (4), questioning module (5), teaching log generation module (6), processing system (7) and attendance system (8), the inside of image system (3) includes image acquisition module (13), image identification module (14) and face extraction module (15), image system (3) are gathered the discernment to the image of teaching in-process student;
the processing system (7) comprises a limb, an expression recognition module (16), a voice extraction module (17) and a deep learning module (18), and the processing system (7) extracts the limb, the expression and the corresponding voice of the student and performs deep learning so as to judge the lecture listening condition of the student;
the inside of student terminal (2) is including feedback module (9), punch card module (10), questioning module (11) and file upload module (12), the inside application data of student terminal (2) transmits in real time in teacher terminal (1), simultaneously image and audio data in student terminal (2) all upload in teacher terminal (1).
2. The system of claim 1, wherein the image acquisition module (13) collects the image data of the student in the student terminal (2), the image acquisition module (13) transmits the collected data to the image recognition module (14), the image recognition module (14) processes the data, reduces the noise in the image, improves the brightness of the image, the image recognition module (14) recognizes the processed image again, and the content recognized by the image recognition module (14) includes the facial features and the body state of the student.
3. A teacher-student real-time interaction system for practical lessons as claimed in claim 2, wherein said image recognition module (14) transmits the recognized image data to said face extraction module (15), said face extraction module (15) extracts the facial features of students in the received data, said image system (3) and said processing system (7) are connected for communication, said image system (3) transmits the recognized data to said processing system (7).
4. A teacher-student real-time interaction system for practicing courses according to claim 3, wherein a teacher passes through task arrangement module (4) issues homework tasks, task arrangement module (4) with communication connection between student terminals (2), task arrangement module (4) transmits each of the issued homework tasks in student terminals (2), the teacher passes through question module (5) issues questions to questions in the classroom, question module (5) with communication connection between student terminals (2), question module (5) transmits each of the issued questions in student terminals (2).
5. A teacher-student real-time interaction system for practicing courses according to claim 4, wherein said teaching log generation module (6) automatically generates teaching logs according to the teaching lesson content of the teacher in the class, the questions asked, the homework issued, and the answer condition of the student.
6. A teacher-student real-time interaction system for practical course according to claim 5, wherein students feedback problems existing in class through the feedback module (9), the feedback module (9) transmits the feedback contents to the teaching log generation module (6) for collection, students punch cards in class through the punching module (10), and the punching module (10) transmits the punched card data to the attendance system (8) for collection.
7. A teacher-student real-time interaction system for practicing courses according to claim 6, wherein students pass through the homework published by teachers the file uploading module (12) uploads, the file uploading module (12) transmits files to the teacher terminal (1), students pass through the question module (11) answers the questions asked by teachers, and simultaneously the student terminal (2) records the number of times of the questions answered by students and the accuracy of the answers.
8. The teacher-student real-time interaction system for practical lessons according to claim 7, wherein the body, expression recognition module (16) recognizes the facial expression of the student according to the acquired image data and facial data, the voice extraction module (17) extracts the voice of the student in class, and the voice extraction module (17) performs partial extraction recognition on the voice, and when the voice extraction module (17) recognizes that the voice is irrelevant to the content of the class at this time, the voice extraction module (17) transmits the student information corresponding to the recognized voice to the integrated machine for display, and the deep learning module (18) performs deep learning on the class performance of the student according to the data in the body, the expression recognition module (16) and the voice extraction module (17) to score the class performance of the student, the deep learning module (18) combines the classroom answering times, answering accuracy and homework completion degree of students to obtain learning suggestions.
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Cited By (1)
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| CN115953272A (en) * | 2022-12-19 | 2023-04-11 | 西安交通工程学院 | Teaching demonstration system combining vision and image processing |
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