CN114299523A - Auxiliary operation identification and correction analysis method and analysis system - Google Patents
Auxiliary operation identification and correction analysis method and analysis system Download PDFInfo
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Abstract
The invention provides a method and a system for identifying, correcting and analyzing auxiliary jobs, wherein the method for identifying, correcting and analyzing the auxiliary jobs comprises the following steps: acquiring an auxiliary operation image to be analyzed; recognizing a plurality of actual correction traces from the teaching and assisting operation image, and binding the actual correction traces with all the problems in the teaching and assisting operation problem stem template according to the coordinate range of the actual correction traces and a preset teaching and assisting problem template; the teaching auxiliary topic template comprises a topic number and a coordinate range of the topic; acquiring a preset correction trace sample, and comparing each actual correction trace with the correction trace sample to obtain correct answer information and wrong answer information of each question represented by each actual correction trace; and calculating the corresponding answer correct rate according to the answer correct information and the answer wrong information of the same question to obtain the answer correct rate of each question. The method can efficiently and quickly analyze the correction condition of the auxiliary teaching operation and count the answer accuracy of the question.
Description
Technical Field
The invention relates to the technical field of correction analysis of auxiliary jobs, in particular to an auxiliary job identification correction analysis method and an auxiliary job identification correction analysis system.
Background
With the continuous development of intelligent identification, image identification is more mature, and particularly in an intelligent classroom, the functions of intelligent batch improvement, uniform scoring and the like of data such as teaching assistance, test paper and the like can be realized.
At present, teaching and assistance recognition is applied to a smart classroom, but the difficulty of current teaching and assistance recognition is serious because students have different homework habits and different teacher correction styles, the current teaching and assistance recognition aims at recognizing and correcting major problems, wrong problem collection and statistics which are not beneficial to the teaching and assistance of the smart classroom are not facilitated, and therefore a more refined teaching and assistance recognition statistical analysis method and system are urgently needed at present.
Disclosure of Invention
The invention aims to overcome the defects and shortcomings in the prior art, and provides a method and a system for identifying, correcting and analyzing auxiliary jobs, which can efficiently and quickly analyze the correcting condition of the auxiliary jobs and count the answer accuracy of the questions.
One embodiment of the invention provides a method for identifying and correcting and analyzing auxiliary jobs, which comprises the following steps:
acquiring an auxiliary operation image to be analyzed;
recognizing a plurality of actual correction marks from the auxiliary teaching operation image, and binding the actual correction marks with all the problems in the auxiliary teaching operation problem template according to the coordinate range of the actual correction marks and a preset auxiliary teaching problem template; the teaching and assistant topic template comprises a topic number and a coordinate range of the topic;
acquiring a preset correction trace sample, and comparing each actual correction trace with the correction trace sample to obtain correct answer information and wrong answer information of each question represented by each actual correction trace;
and calculating the corresponding answer correct rate according to the answer correct information and the answer wrong information of the same question to obtain the answer correct rate of each question.
Compared with the prior art, the auxiliary teaching work identification and correction analysis method has the advantages that multiple actual correction marks are identified from the auxiliary teaching work image, the actual correction marks at all the positions are bound with all the questions in the auxiliary teaching work question template according to the coordinate range of the actual correction marks at all the positions and the preset auxiliary teaching question template, and then the preset correction mark samples are combined for comparison to obtain correct answer information and wrong answer information of all the questions represented by the actual correction marks at all the positions, so that the correct answer rate of all the questions is calculated. The correction condition of the auxiliary teaching operation can be analyzed efficiently and quickly, and the answer accuracy of the given question can be counted.
Further, the recognizing a plurality of actual correction traces from the assistant job image includes:
identifying the colors of all handwritten symbols from the teaching and assisting operation image to obtain the color value of each handwritten symbol;
and acquiring a preset correction color range value, comparing the color value of each handwritten symbol with the correction color range value, and determining the corresponding handwritten symbol as an actual correction trace if the color value is within the correction color range value. The actual correction trace is identified by color.
Further, the correction trace samples comprise correct answer correction samples and wrong answer correction samples. The information represented by the actual correction trace can be compared favorably.
Further, the storage attributes of the assistant homework image comprise the name and the class of the student and the subject and theme corresponding to the assistant homework image. The method is favorable for classified storage, management and searching of the corresponding auxiliary operation images.
Further, still include: receiving teacher login information, acquiring and displaying student information corresponding to the teacher login information, wherein the student information comprises student names, classes and the teaching and assisting homework images with the storage attributes of the same student names. The teacher can conveniently log in and check the teaching and assisting homework images of the students at any time.
Further, the question numbers of the auxiliary question template comprise big question numbers and small question numbers for distinguishing big questions and small questions; wherein, one big topic comprises at least two small topics; the coordinate range of the questions comprises a coordinate range of a big question and a coordinate range of a small question, wherein the coordinate range of the big question corresponds to the big question number, and the coordinate range of the small question corresponds to the small question number;
the answer correct rate of each question comprises the answer correct rate of a big question, wherein the answer correct rate of the big question is calculated in the following mode: and dividing the answer accuracy of the small questions belonging to the large question by the number of the small questions belonging to the large question. The answer accuracy of the big question is calculated by using the answer accuracy of the small question so as to conveniently count the answer condition of the big question
Further, after a plurality of actual correction traces are identified from the assistant job image, the method further comprises the following steps:
cutting the teaching and assisting operation image to be analyzed according to the actual correction trace to obtain an actual correction trace image;
and sequentially carrying out color extraction, filling and expansion on the actual correction trace in the actual correction trace image to obtain the repaired actual correction trace. The accuracy of the identification and analysis of the actual correction trace is improved by repairing the actual correction trace.
Further, the process of obtaining a preset correction trace sample, comparing the actual correction trace at each position with the correction trace sample, and obtaining correct answer information and wrong answer information of each question represented by the actual correction trace at each position includes:
receiving teacher login information, and acquiring correct answer correcting samples and wrong answer correcting samples corresponding to the teacher login information;
comparing the actual correcting traces with the correct answer correcting sample and the wrong answer correcting sample respectively to obtain a first matching degree of the actual correcting traces and the correct answer correcting sample and a second matching degree of the actual correcting traces and the wrong answer correcting sample;
and comparing the first matching degree with the second matching degree, if the first matching degree is greater than the second matching degree, determining that the actual correcting trace represents correct answer information, and otherwise, determining that the actual correcting trace represents wrong answer information. By comparing the actual correcting trace with the correct answer correcting sample and the wrong answer correcting sample, the information represented by the actual correcting trace compared with the correct answer correcting sample and the wrong answer correcting sample can be analyzed more accurately.
The invention also provides a system for identifying, correcting and analyzing the auxiliary jobs, which comprises the following components: teaching assistance identification client and server; the server side comprises an image identification module and a data statistics module;
the teaching and assistant recognition client is used for acquiring teaching and assistant operation images to be analyzed;
the image identification module is used for identifying a plurality of actual correction traces from the auxiliary teaching operation image and binding the actual correction traces with all the topics in the auxiliary teaching operation topic template according to the coordinate range of the actual correction traces and a preset auxiliary teaching topic template; the teaching and assistant topic template comprises a topic number and a coordinate range of the topic;
the image identification module is further used for acquiring a preset correction trace sample, comparing each actual correction trace with the correction trace sample, and obtaining correct answer information and wrong answer information of each question represented by each actual correction trace;
and the data statistics module is used for calculating the corresponding answer correct rate according to the answer correct information and the answer wrong information of the same question to obtain the answer correct rate of each question.
Compared with the prior art, the auxiliary teaching work identification and correction analysis system provided by the invention has the advantages that a plurality of actual correction marks are identified from the auxiliary teaching work image, the actual correction marks at all the positions are bound with all the questions in the auxiliary teaching work question template according to the coordinate range of the actual correction marks at all the positions and the preset auxiliary teaching question template, and then the comparison is carried out by combining with the preset correction mark sample, so that the correct answer information and the wrong answer information of all the questions represented by the actual correction marks at all the positions are obtained, and the correct answer rate of all the questions is calculated. The correction condition of the auxiliary teaching operation can be analyzed efficiently and quickly, and the answer accuracy of the given question can be counted.
Further, the server side also comprises a educational administration system module and a data storage module;
the educational administration system module is used for receiving teacher login information, acquiring and displaying student information corresponding to the teacher login information, wherein the student information comprises student names, classes and the educational and auxiliary homework images with the storage attributes of the same student names;
wherein the student information is stored in the data storage module. The teacher can conveniently log in and check the teaching and assisting homework images of the students at any time.
Compared with the prior art, the auxiliary job identification and correction analysis method and the auxiliary job identification and correction analysis system have the following advantages:
1. the method comprises the steps of identifying a plurality of actual correction traces from a teaching and assisting operation image, binding the actual correction traces with all questions in a teaching and assisting operation question stem template according to the coordinate range of the actual correction traces and a preset teaching and assisting question template, comparing by combining with a preset correction trace sample, and obtaining correct answer information and wrong answer information of all the questions represented by the actual correction traces, so that the correct answer rate of all the questions is calculated. The correction condition of the auxiliary teaching operation can be analyzed efficiently and quickly, and the answer accuracy of the given question can be counted.
2. The actual correction trace can be efficiently and accurately identified through the color.
3. The method is favorable for classified storage, management and searching of the corresponding auxiliary operation images.
4. And calculating the answer accuracy of the big question by using the answer accuracy of the small question so as to conveniently count the answer condition of the big question.
5. By comparing the actual correcting trace with the correct answer correcting sample and the wrong answer correcting sample, the information represented by the actual correcting trace compared with the correct answer correcting sample and the wrong answer correcting sample can be analyzed more accurately.
In order that the invention may be more clearly understood, specific embodiments thereof will be described hereinafter with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of an assistant job identification and modification analysis method according to an embodiment of the present invention.
FIG. 2 is an image of an instructional job to be analyzed, in accordance with one embodiment of the present invention.
Fig. 3 is an image of the actual modification mark identified in step S2 according to an embodiment of the present invention.
FIG. 4 is a block diagram of a system for identifying and wholesale analysis of a tutorial job according to an embodiment of the invention.
1. Teaching assistance to identify the client; 2. a server side; 21. an image recognition module; 22; and a data statistics module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
It should be understood that the embodiments described are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the embodiments in the present application.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. In the description of the present application, it is to be understood that the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not necessarily used to describe a particular order or sequence, nor are they to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The word "if/if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination".
Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Please refer to fig. 1, which is a flowchart illustrating a method for performing a verification and correction analysis according to an embodiment of the present invention, including:
and S1, acquiring the auxiliary job image to be analyzed.
The method comprises the steps that acquisition of teaching and auxiliary work images to be analyzed is achieved through a teaching and auxiliary recognition client side, wherein the teaching and auxiliary recognition client side is a client side for collecting, uploading, carrying out recognition analysis on teaching and auxiliary data and obtaining recognition and/or statistical results, and the teaching and auxiliary recognition client side comprises but is not limited to a high-speed shooting instrument, a scanner, a scanning pen, a student tablet with a camera, a PC and other electronic equipment.
S2, identifying a plurality of actual correction marks from the auxiliary work image, and binding the actual correction marks with all the topics in the auxiliary work topic template according to the coordinate range of the actual correction marks and a preset auxiliary task template; the teaching and assistant topic template comprises a topic number and a coordinate range of the topic.
The assistant job image is shown in fig. 2, and the plurality of actual modification traces identified in step S2 are shown in fig. 3. Preferably, in order to better bind the actual correction marks at each position with each question in the auxiliary teaching task question stem template, a corresponding rectangular frame is generated according to the actual correction marks at each position, and the rectangular frame is a minimum rectangular frame for framing the corresponding actual correction marks. And acquiring four vertex coordinates of the rectangular frame relative to the teaching and assisting operation image, and determining and binding the topics corresponding to the actual correction traces according to the four vertex coordinates and the coordinate range of each topic in the teaching and assisting operation topic stem template. For example, if the coordinates of the four vertices are located in the coordinate range of one of the topics, it indicates that the corresponding actual correction traces correspond to the topic corresponding to the coordinate range.
S3, obtaining a preset correction trace sample, and comparing the actual correction trace at each position with the correction trace sample to obtain correct answer information and wrong answer information of each question represented by the actual correction trace at each position.
And S4, calculating the corresponding answer correct rate according to the answer correct information and the answer wrong information of the same question, and obtaining the answer correct rate of each question.
Compared with the prior art, the auxiliary teaching work identification and correction analysis method has the advantages that multiple actual correction marks are identified from the auxiliary teaching work image, the actual correction marks at all the positions are bound with all the questions in the auxiliary teaching work question template according to the coordinate range of the actual correction marks at all the positions and the preset auxiliary teaching question template, and then the preset correction mark samples are combined for comparison to obtain correct answer information and wrong answer information of all the questions represented by the actual correction marks at all the positions, so that the correct answer rate of all the questions is calculated. The correction condition of the auxiliary teaching operation can be analyzed efficiently and quickly, and the answer accuracy of the given question can be counted.
In a possible embodiment, the identifying a plurality of actual modification traces from the assistant job image includes:
identifying the colors of all handwritten symbols from the teaching and assisting operation image to obtain the color value of each handwritten symbol;
and acquiring a preset correction color range value, comparing the color value of each handwritten symbol with the correction color range value, and determining the corresponding handwritten symbol as an actual correction trace if the color value is within the correction color range value.
In this embodiment, specifically, the correction color range value is a range value corresponding to light red to dark red, and may be represented in RGB form or CMYK form, so that the actual correction trace can be quickly recognized by color.
In one possible embodiment, the storage attribute of the assistant work image includes the name of the student, the class and the subject and theme corresponding to the assistant work image. The method is favorable for classified storage, management and searching of the corresponding auxiliary operation images.
In one possible embodiment, the method further comprises: receiving teacher login information, acquiring and displaying student information corresponding to the teacher login information, wherein the student information comprises student names, classes and the teaching and assisting homework images with the storage attributes of the same student names. The teacher can conveniently log in and check the teaching and assisting homework images of the students at any time.
In one possible embodiment, the topic numbers of the auxiliary topic template comprise a big topic number and a small topic number for distinguishing a big topic from a small topic; wherein, one big topic comprises at least two small topics; the coordinate range of the questions comprises a coordinate range of a big question and a coordinate range of a small question, wherein the coordinate range of the big question corresponds to the big question number, and the coordinate range of the small question corresponds to the small question number;
the answer correct rate of each question comprises the answer correct rate of a big question, wherein the answer correct rate of the big question is calculated in the following mode: and dividing the answer accuracy of the small questions belonging to the large question by the number of the small questions belonging to the large question. And calculating the answer accuracy of the big question by using the answer accuracy of the small question so as to conveniently count the answer condition of the big question.
In a possible embodiment, after identifying a plurality of actual modification traces from the assistant job image, the method further includes the following steps:
cutting the teaching and assisting operation image to be analyzed according to the actual correction trace to obtain an actual correction trace image;
and sequentially carrying out color extraction, filling and expansion on the actual correction trace in the actual correction trace image to obtain the repaired actual correction trace. The accuracy of the identification and analysis of the actual correction trace is improved by repairing the actual correction trace.
In a possible embodiment, the correction trace samples include correct answer correction samples and incorrect answer correction samples. The information represented by the actual correction trace can be compared favorably.
In this embodiment, preferably, the step of obtaining a preset correction trace sample, comparing each actual correction trace with the correction trace sample, and obtaining correct answer information and incorrect answer information of each question represented by each actual correction trace includes:
receiving teacher login information, and acquiring correct answer correcting samples and wrong answer correcting samples corresponding to the teacher login information;
comparing the actual correcting traces with the correct answer correcting sample and the wrong answer correcting sample respectively to obtain a first matching degree of the actual correcting traces and the correct answer correcting sample and a second matching degree of the actual correcting traces and the wrong answer correcting sample;
and comparing the first matching degree with the second matching degree, if the first matching degree is greater than the second matching degree, determining that the actual correcting trace represents correct answer information, and otherwise, determining that the actual correcting trace represents wrong answer information.
In this embodiment, the shapes of the correct answer correction sample and the incorrect answer correction sample are not limited, for example, the correct answer correction sample may be in a hook shape, and the incorrect answer correction sample may be in a fork or circle shape, and the actual correction trace is compared with the correct answer correction sample and the incorrect answer correction sample, so that the information represented by the actual correction trace obtained by comparing the correct answer correction sample and the incorrect answer correction sample can be analyzed more accurately.
Referring to fig. 4, the present invention further provides an assistant job identification and modification analysis system, which includes: the teaching assistance identification method comprises the following steps of teaching assistance identification client 1 and a server 2; the server 2 comprises an image recognition module 21 and a data statistics module 22;
the teaching assistance recognition client 1 is used for acquiring teaching assistance operation images to be analyzed;
the image identification module 21 is configured to identify a plurality of actual correction traces from the teaching and assisting job image, and bind the actual correction traces with the topics in the teaching and assisting job topic template according to a coordinate range of the actual correction traces and a preset teaching and assisting topic template; the teaching and assistant topic template comprises a topic number and a coordinate range of the topic;
the image recognition module 21 is further configured to obtain a preset correction trace sample, compare each actual correction trace with the correction trace sample, and obtain correct answer information and wrong answer information of each question represented by each actual correction trace;
the data statistics module 22 is configured to calculate a corresponding answer correctness according to the answer correctness information and the answer error information of the same question, so as to obtain the answer correctness of each question.
The teaching and assistant identification client 1 refers to a client for collecting, uploading, identifying and analyzing teaching and assistant data and obtaining identification and/or statistical results, and includes but is not limited to electronic devices such as a high-speed shooting instrument, a scanner, a scanning pen, a student tablet with a camera, and a PC.
Compared with the prior art, the auxiliary teaching work identification and correction analysis system provided by the invention has the advantages that a plurality of actual correction marks are identified from the auxiliary teaching work image, the actual correction marks at all the positions are bound with all the questions in the auxiliary teaching work question template according to the coordinate range of the actual correction marks at all the positions and the preset auxiliary teaching question template, and then the comparison is carried out by combining with the preset correction mark sample, so that the correct answer information and the wrong answer information of all the questions represented by the actual correction marks at all the positions are obtained, and the correct answer rate of all the questions is calculated. The correction condition of the auxiliary teaching operation can be analyzed efficiently and quickly, and the answer accuracy of the given question can be counted.
In a possible embodiment, the server 2 further includes a educational administration system module and a data storage module;
the educational administration system module is used for receiving teacher login information, acquiring and displaying student information corresponding to the teacher login information, wherein the student information comprises student names, classes and the educational and auxiliary homework images with the storage attributes of the same student names;
wherein the student information is stored in the data storage module. The teacher can conveniently log in and check the teaching and assisting homework images of the students at any time.
Preferably, the educational administration system module is further configured to enter a student information module of a teacher or a class of the teacher giving lessons, and the teacher authorized to log in can further look up corresponding student information data according to the authorization level. For example, a general teacher can only view the education and assistance works of the students of the class, and the class master can view the education and assistance works of all the subjects of the class, the education and assistance works of the whole year, and the like.
Preferably, the teaching assistance recognition client 1 further inputs two-dimensional code information corresponding to students and teaching assistance homework, and marks the two-dimensional code information as teaching assistance data submitted by specific students.
Preferably, the server 2 further includes a wrong topic collecting and counting module, which is used for collecting and counting the topics that the students made mistakes in the teaching and assisting homework, and mapping the corresponding data and the information such as the accuracy. Preferably, when the accuracy of the topic is lower than a preset system threshold, the corresponding topic is collected into the wrong topic collection statistical module.
Preferably, the server 2 further comprises a communication module, and the communication module is used for providing communication channels between teachers and students, such as a teacher group, a student group, a class group, and the like, and the communication forms of the communication channels include text communication, voice communication, microphone communication, and the like.
Preferably, the data statistics module 22 further stores data such as the accuracy of single-question recognition, the corresponding knowledge points, the number of right-to-answer and/or wrong-to-answer people, and student information of specific right-to-answer or wrong-to-answer.
The above-described device embodiments are merely illustrative, wherein the components described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart block or blocks and/or flowchart block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A teaching and assisting operation identification correction analysis method is characterized by comprising the following steps:
acquiring an auxiliary operation image to be analyzed;
recognizing a plurality of actual correction marks from the auxiliary teaching operation image, and binding the actual correction marks with all the problems in the auxiliary teaching operation problem template according to the coordinate range of the actual correction marks and a preset auxiliary teaching problem template; the teaching and assistant topic template comprises a topic number and a coordinate range of the topic;
acquiring a preset correction trace sample, and comparing each actual correction trace with the correction trace sample to obtain correct answer information and wrong answer information of each question represented by each actual correction trace;
and calculating the corresponding answer correct rate according to the answer correct information and the answer wrong information of the same question to obtain the answer correct rate of each question.
2. The method for identifying and analyzing the correction of the auxiliary job according to claim 1, wherein the identifying a plurality of actual correction traces from the image of the auxiliary job comprises:
identifying the colors of all handwritten symbols from the teaching and assisting operation image to obtain the color value of each handwritten symbol;
and acquiring a preset correction color range value, comparing the color value of each handwritten symbol with the correction color range value, and determining the corresponding handwritten symbol as an actual correction trace if the color value is within the correction color range value.
3. The teaching task recognition batch analysis method of claim 2, wherein: the correction trace sample comprises a correct answer correction sample and an incorrect answer correction sample.
4. The method for identifying and modifying an analysis of an assistant homework according to claim 3, wherein the storage attributes of the assistant homework image include a student name, a class, and a subject and a theme corresponding to the assistant homework image.
5. The teaching task recognition batch analysis method of claim 4, further comprising: receiving teacher login information, acquiring and displaying student information corresponding to the teacher login information, wherein the student information comprises student names, classes and the teaching and assisting homework images with the storage attributes of the same student names.
6. The assistant job identification correction analysis method according to claim 5, wherein the question numbers of the assistant question templates include a major question number and a minor question number for distinguishing a major question from a minor question; wherein, one big topic comprises at least two small topics; the coordinate range of the questions comprises a coordinate range of a big question and a coordinate range of a small question, wherein the coordinate range of the big question corresponds to the big question number, and the coordinate range of the small question corresponds to the small question number;
the answer correct rate of each question comprises the answer correct rate of a big question, wherein the answer correct rate of the big question is calculated in the following mode: and dividing the answer accuracy of the small questions belonging to the large question by the number of the small questions belonging to the large question.
7. The method for identifying and analyzing the correction of the auxiliary work according to claim 6, wherein after a plurality of actual correction traces are identified from the image of the auxiliary work, the method further comprises the following steps:
cutting the teaching and assisting operation image to be analyzed according to the actual correction trace to obtain an actual correction trace image;
and sequentially carrying out color extraction, filling and expansion on the actual correction trace in the actual correction trace image to obtain the repaired actual correction trace.
8. The assistant work recognition, correction and analysis method according to claim 7, wherein the process of obtaining a preset correction trace sample, comparing each actual correction trace with the correction trace sample, and obtaining correct answer information and incorrect answer information of each question represented by each actual correction trace comprises:
receiving teacher login information, and acquiring correct answer correcting samples and wrong answer correcting samples corresponding to the teacher login information;
comparing the actual correcting traces with the correct answer correcting sample and the wrong answer correcting sample respectively to obtain a first matching degree of the actual correcting traces and the correct answer correcting sample and a second matching degree of the actual correcting traces and the wrong answer correcting sample;
and comparing the first matching degree with the second matching degree, if the first matching degree is greater than the second matching degree, determining that the actual correcting trace represents correct answer information, and otherwise, determining that the actual correcting trace represents wrong answer information.
9. An assistant job identification correction analysis system, comprising: teaching assistance identification client and server; the server side comprises an image identification module and a data statistics module;
the teaching and assistant recognition client is used for acquiring teaching and assistant operation images to be analyzed;
the image identification module is used for identifying a plurality of actual correction traces from the auxiliary teaching operation image and binding the actual correction traces with all the topics in the auxiliary teaching operation topic template according to the coordinate range of the actual correction traces and a preset auxiliary teaching topic template; the teaching and assistant topic template comprises a topic number and a coordinate range of the topic;
the image identification module is further used for acquiring a preset correction trace sample, comparing each actual correction trace with the correction trace sample, and obtaining correct answer information and wrong answer information of each question represented by each actual correction trace;
and the data statistics module is used for calculating the corresponding answer correct rate according to the answer correct information and the answer wrong information of the same question to obtain the answer correct rate of each question.
10. The auxiliary operation identification and correction analysis system is characterized in that the server side further comprises a teaching service system module and a data storage module;
the educational administration system module is used for receiving teacher login information, acquiring and displaying student information corresponding to the teacher login information, wherein the student information comprises student names, classes and the educational and auxiliary homework images with the storage attributes of the same student names;
wherein the student information is stored in the data storage module.
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