CN112990878A - Real-time correcting system and analyzing method for classroom teaching behaviors of teacher - Google Patents
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Abstract
The invention relates to the technical field of teacher classroom behavior analysis, in particular to a real-time correction system and an analysis method for teacher classroom teaching behaviors, which realize the intelligent training of the teacher standardized classroom teaching behaviors, fill up the blank in related methods, improve the teacher classroom teaching training efficiency and promote the promotion of the teacher teaching efficiency; the method comprises the following steps: step one, acquiring real-time audio-visual identification of classroom teaching behaviors of a teacher by using an audio-visual acquisition module of a system, and writing the identification into a system cache area; step two, acquiring a standard audio-visual identification library of the classroom teaching behavior of the teacher, and writing the standard audio-visual identification library into a system authorization erasing storage area; and step three, acquiring teaching state comparison information of the audio-visual identification by using an operation module and a specific algorithm in the system, writing the comparison information into a system repeated erasing and writing storage area, wherein the teaching state comparison information is classroom teaching behavior correction information and supervision information.
Description
Technical Field
The invention relates to the technical field of teacher classroom behavior analysis, in particular to a real-time teacher classroom teaching behavior correction system and an analysis method.
Background
The teacher classroom teaching behavior is a specific behavior initiated by the teacher in a specific teaching environment and organizing and presenting teaching information through the body and language (including auxiliary languages such as pictures and texts, video and audio organization and the like). In the teaching process, the classroom teaching behavior of the teacher plays a vital role, the classroom teaching behavior is a carrier of teaching information, and is a catalyst of teaching efficiency, and the classroom teaching behavior directly determines the effect and quality of teaching.
From the perspective of teaching organization, the classroom teaching behaviors of a teacher are complex, all the time through the teaching process, the behaviors are mutually linked and influenced, and the habituation and the recurrence of bad behaviors are strong. Therefore, although in the industry, many normative requirements are made on the classroom teaching behavior of the teacher, because there is no effective method in the prior art to store and correct the non-normative behavior of the classroom teaching of the teacher, the training and supervision of the classroom teaching behavior of the teacher are standardized by adopting a mode of listening to the teacher in real time or watching videos of the teacher giving lessons in real time.
The existing manual mode has low efficiency, is subject to factors such as manpower, environment and the like (the level, attention, group organization and the like of teachers and trainees), teachers or trainees cannot carry out intelligent self-training, non-normative habitual behaviors cannot be corrected in real time, and the constraint of inertial behaviors cannot be broken; when a teaching manager aims at group non-normative classroom teaching behaviors, the teaching manager is also limited by factors such as manpower and environment, and cannot carry out intelligent supervision.
Disclosure of Invention
In order to solve the technical problems, the invention provides a real-time correcting system and an analyzing method for teacher classroom teaching behaviors based on machine vision.
The invention discloses a real-time correcting system and an analyzing method for classroom teaching behaviors of teachers, which comprises the following steps:
step one, acquiring real-time audio-visual identification of classroom teaching behaviors of a teacher by using an audio-visual acquisition module of a system, and writing the identification into a system cache area;
step two, acquiring a standard audio-visual identification library of the classroom teaching behavior of the teacher, and writing the standard audio-visual identification library into a system authorization erasing storage area;
thirdly, acquiring teaching state comparison information of the audio-visual identification by using an operation module and a specific algorithm in the system, writing the comparison information into a system repeated erasing and writing storage area, wherein the teaching state comparison information is classroom teaching behavior correction information and supervision information;
step four, storing and displaying digital audio-visual information and teaching state comparison information of the classroom teaching behaviors of the teacher in real time by using a storage and display module in the system;
fifthly, digital audio and video and teaching state comparison information of the teacher teaching in the classroom is automatically uploaded and shared by using control and network modules in the system;
and step six, automatically issuing, uploading, sharing and printing an analysis report of the classroom teaching behavior of the teacher by using a publishing module in the system.
Furthermore, the audio-visual acquisition module in the first step is composed of an image acquisition device and an audio acquisition device, and acquires video identification data and voice identification data simultaneously after the system starts to operate.
Furthermore, the standard audio-visual identification library obtained in the second step is a format which can set authorized data in a system storage area according to the standard classroom teaching posture of the teacher in the formatted environment, and teacher classroom behavior data is stored.
Further, the structure of the operation module in step three includes: the teacher classroom behavior recognition module is used for recognizing classroom behaviors of teachers;
the specific recognition algorithm comprises a teacher behavior recognition algorithm, wherein the connection relation characteristics of the current classroom teaching teacher skeleton joint point data coordinates and limbs in the cache region are extracted through a human body posture estimation algorithm, and the specific recognition algorithm is constructed as a graph structure G represented as: g is (j, l), and a mixed classification model is established, wherein the mixed classification model comprises three classification algorithms;
the first algorithm operates as follows:
wherein, t isThe value range is [0,10 ]]The w and b values are the current weight parameter and the bias term, C is the current cell state, and h is the transmission state of the current cell; by bringing j, l into the above formula respectively, o is obtainedtjAnd otlValue, establish the Softmax classification function:
the classification probability value of the current characteristic belonging to the preset teaching digital audio-visual characteristic information cluster library can be obtained, and the identification result y can be obtained by the formula1；
The second algorithm operates as the following function:
K(x,z)＝φ(x)·φ(z)
where k (x, z) is a feature mapped to a high-dimensional space, from which the recognition result y can be obtained2；
The third algorithm operates as the following function:
yj＝f(sj)
wherein s is the output value of the current neuron, w and b are weight values and bias terms, and the output identification result y can be obtained by the formula3；
Three recognition results y obtained by three classification algorithms1,y2,y3Making a judgment wherein y1Corresponding to teacher classroom behavior a, y2Corresponding to teacher classroom behavior b, y3Corresponding to teacher classroom behavior c;
then there are:
if
judging the current action as a;
if
judging the current action as b;
if
the current action is determined as c.
Further, the operation flow of each part of the system in the fourth step is as follows:
s1, recoding the collected video data and storing the recoded video data in a repeated erasing and writing storage area;
s2, analyzing the preprocessed image representation through a specific algorithm, and feeding back to obtain the behavior condition in the current unit time;
and S3, the display equipment receives the behavior analysis data and the real-time video data and displays the real-time teaching mode comparison information.
Further, the main functions in the fifth step are digital audio and video and teaching mode comparison information for teacher classroom teaching through the network module, wherein the flow is as follows:
a) storing the digital audio and video and teaching state comparison information in the repeatedly erasable storage area into an information packet according to the user information;
b) and according to the port information of the cloud server, the local system is in communication connection with the cloud server, and transmits the current teacher information packet to a corresponding database in the cloud server to generate cloud information data.
Further, the flow of the analysis report for automatically issuing, uploading and sharing the teacher classroom teaching behavior in the sixth step is as follows:
1) counting teaching state comparison information after the classroom teaching of the current teacher is finished, setting a modifiable report content template according to the prestored personal information of the current teacher, and filling the personal information of the teacher and the teaching state comparison information;
2) and according to the port information of the cloud server, the local system is in communication connection with the cloud server, and transmits the analysis report of the classroom teaching behavior of the current teacher to a corresponding database in the cloud server to generate cloud information data.
Compared with the prior art, the invention has the beneficial effects that: the teacher classroom teaching behavior analysis method is characterized in that a teacher classroom teaching behavior identification module analyzes the behavior posture and the language to construct a teacher classroom teaching behavior analysis model, provides a quantitative analysis method for the teacher classroom behavior model, and lays a foundation for improving the classroom teaching effect of a teacher; moreover, by utilizing the advantages of the cloud platform, the teacher classroom teaching behavior analysis data information is transferred to be automatically shared to the cloud platform, the report file is issued in real time, the problem of intelligent supervision of classroom teaching behaviors of the teacher is solved, intelligent training of the teacher for standardizing classroom teaching behaviors is realized, the blank in related methods is filled, the classroom teaching training efficiency of the teacher is improved, and the teaching efficiency of the teacher is promoted to be improved.
Drawings
FIG. 1 is a logic flow diagram of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
As shown in fig. 1, the real-time correcting system and analyzing method for teacher's teaching behavior of the present invention includes the steps of:
step one, a teaching video acquisition module is used for acquiring classroom teaching of a teacher and writing classroom teaching audiovisual identification into a system cache area.
And step two, the master control module writes the standard audio-visual identification library for obtaining the classroom teaching behavior of the teacher into the system authorization erasing storage area.
Thirdly, acquiring teaching state comparison information of the audio-visual identification by using an operation module and a specific algorithm in the system, writing the comparison information into a system repeated erasing and writing storage area, wherein the teaching state comparison information is classroom teaching behavior correction information and supervision information;
step four, utilizing a storage and display module in the system to store and display digital audio-video information and teaching state comparison information of the classroom teaching behavior of the teacher in real time;
fifthly, the control and network modules in the system are utilized to automatically upload and share the digital audio and video and teaching state comparison information of the teacher teaching in the classroom;
and step six, automatically issuing, uploading, sharing and printing an analysis report of the classroom teaching behavior of the teacher by using a publishing module in the system.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (7)
1. A real-time correcting system and an analyzing method for classroom teaching behaviors of teachers are characterized by comprising the following steps:
step one, acquiring real-time audio-visual identification of classroom teaching behaviors of a teacher by using an audio-visual acquisition module of a system, and writing the identification into a system cache area;
step two, acquiring a standard audio-visual identification library of the classroom teaching behavior of the teacher, and writing the standard audio-visual identification library into a system authorization erasing storage area;
thirdly, acquiring teaching state comparison information of the audio-visual identification by using an operation module and a specific algorithm in the system, writing the comparison information into a system repeated erasing and writing storage area, wherein the teaching state comparison information is classroom teaching behavior correction information and supervision information;
step four, storing and displaying digital audio-visual information and teaching state comparison information of the classroom teaching behaviors of the teacher in real time by using a storage and display module in the system;
fifthly, digital audio and video and teaching state comparison information of the teacher teaching in the classroom is automatically uploaded and shared by using control and network modules in the system;
and step six, automatically issuing, uploading, sharing and printing an analysis report of the classroom teaching behavior of the teacher by using a publishing module in the system.
2. The system for real-time correction and analysis of teacher's classroom teaching behavior as claimed in claim 1, wherein said audio-visual acquisition module in step one is formed from image acquisition equipment and audio acquisition equipment, after the system is started to run, it can simultaneously acquire video identification data and speech identification data.
3. The system for real-time correction and analysis of teacher's classroom teaching behavior as claimed in claim 1, wherein said standard audiovisual identification library obtained in step two is set in a format of authorized data in the system storage area according to the standard classroom teaching posture of teacher in formatted environment, and teacher's classroom behavior data is stored.
4. The system for real-time correction and analysis of teacher's classroom teaching behavior as claimed in claim 1, wherein said structure of said operation module in step three includes: the teacher classroom behavior recognition module is used for recognizing classroom behaviors of teachers;
the specific recognition algorithm comprises a teacher behavior recognition algorithm, wherein the connection relation characteristics of the current classroom teaching teacher skeleton joint point data coordinates and limbs in the cache region are extracted through a human body posture estimation algorithm, and the specific recognition algorithm is constructed as a graph structure G represented as: g is (j, l), and a mixed classification model is established, wherein the mixed classification model comprises three classification algorithms;
the first algorithm operates as follows:
wherein t is in the range of [0,10 ]]The w and b values are the current weight parameter and the bias term, C is the current cell state, and h is the transmission state of the current cell; by bringing j, l into the above formula respectively, o is obtainedtjAnd otlValue, establish the Softmax classification function:
the classification probability value of the current characteristic belonging to the preset teaching digital audio-visual characteristic information cluster library can be obtained, and the identification result y can be obtained by the formula1；
The second algorithm operates as the following function:
K(x,z)＝φ(x)·φ(z)
where k (x, z) is a feature mapped to a high-dimensional space, from which the recognition result y can be obtained2；
The third algorithm operates as the following function:
yj＝f(sj)
wherein s is the output value of the current neuron, w and b are weight values and bias terms, and the output identification result y can be obtained by the formula3；
Three recognition results y obtained by three classification algorithms1,y2,y3Making a judgment wherein y1Corresponding to teacher classroom behavior a, y2Corresponding to teacher classroom behavior b, y3Corresponding to teacher classroom behavior c; then there are:
5. The system for real-time correction and analysis of teacher classroom teaching behavior as claimed in claim 1, wherein the operation flow of each part of said system in step four is:
s1, recoding the collected video data and storing the recoded video data in a repeated erasing and writing storage area;
s2, analyzing the preprocessed image representation through a specific algorithm, and feeding back to obtain the behavior condition in the current unit time;
and S3, the display equipment receives the behavior analysis data and the real-time video data and displays the real-time teaching mode comparison information.
6. The system for real-time correction and analysis of teacher's classroom teaching behavior as claimed in claim 1, wherein said five steps are mainly performed by the network module to perform digital video and audio and teaching mode comparison information of teacher's classroom teaching, wherein the flow is:
a) storing the digital audio and video and teaching state comparison information in the repeatedly erasable storage area into an information packet according to the user information;
b) and according to the port information of the cloud server, the local system is in communication connection with the cloud server, and transmits the current teacher information packet to a corresponding database in the cloud server to generate cloud information data.
7. The system and the method for real-time correction of the teacher classroom teaching behavior as claimed in claim 1, wherein the flow of automatically issuing, uploading and sharing the analysis report of the teacher classroom teaching behavior in the sixth step is as follows:
1) counting teaching state comparison information after the classroom teaching of the current teacher is finished, setting a modifiable report content template according to the prestored personal information of the current teacher, and filling the personal information of the teacher and the teaching state comparison information;
2) and according to the port information of the cloud server, the local system is in communication connection with the cloud server, and transmits the analysis report of the classroom teaching behavior of the current teacher to a corresponding database in the cloud server to generate cloud information data.
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