CN111191592A - Automatic processing system for traceable test paper - Google Patents
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- CN111191592A CN111191592A CN201911398151.6A CN201911398151A CN111191592A CN 111191592 A CN111191592 A CN 111191592A CN 201911398151 A CN201911398151 A CN 201911398151A CN 111191592 A CN111191592 A CN 111191592A
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Abstract
The invention discloses an automatic processing system of a traceable test paper, which relates to the field of electronic marking and comprises a local analysis system and a cloud processing system, wherein the local analysis system comprises a test paper scanning management module, a data synchronization module and a sample extraction module, the test paper scanning management module is used for driving a scanner to scan the test paper after manual marking is finished, a test paper scanning picture is generated, meanwhile, the fraction in the test paper scanning picture is identified based on an image identification technology, and the obtained examination score of a student is uploaded to a cloud score library through the data synchronization module; the sample extraction module is used for cutting an area where the wrong question is located by taking a single question as a unit according to the wrong question in the test paper scanning picture to obtain a wrong question picture, and transmitting the wrong question picture to the cloud storage module. The invention keeps the original paper scoring habit of a scoring teacher and can also provide personalized wrong question pushing for students so as to facilitate wrong question review and practice after examination of the students.
Description
Technical Field
The invention relates to the field of electronic paper marking, in particular to an automatic processing system for a test paper with a trace.
Background
At present, the mainstream electronic paper marking in the market adopts a traceless paper marking mode. The traceless examination paper is scanned to a computer end, and then questions and answers are displayed by dividing a fixed area so as to be evaluated by an examiner. This approach suffers mainly from the following disadvantages: 1. although a new means different from paper correction is provided for the reader teacher, the reader teacher needs to change the original reader preference and habit; 2. the correction trace of the traceless examination mode only exists in the examination system, students cannot know where the students specifically mistake, the effect of classroom explanation after examination is reduced, and the management of wrong questions after examination is not facilitated.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an automatic processing system for a marked test paper, which reserves the original paper marking habit of a marking teacher and can also provide personalized wrong-question pushing for students so as to facilitate wrong-question review and practice after the students take examinations.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a local analytics system, the local analytics system comprising:
the examination paper scanning management module is used for driving the scanner to scan the examination paper after manual examination paper marking is finished, generating an examination paper scanning picture, and meanwhile, identifying scores in the examination paper scanning picture based on an image identification technology, and uploading the obtained examination scores of students to the cloud score library through the data synchronization module;
-a data synchronization module for performing a synchronized transmission of data between the local analysis system and the cloud processing system;
the sample extraction module is used for cutting an area where the wrong question is located by taking a single question as a unit according to the wrong question in the test paper scanning picture to obtain a wrong question picture, and uploading the wrong question picture to the cloud storage module;
a cloud processing system, the cloud processing system comprising:
the cloud processing module is used for collecting the examination scores of the students in the cloud score library and the wrong-question pictures in the cloud storage module, directionally pushing the examination scores or the wrong-question situations to the students, and performing statistical analysis on the wrong-question pictures so as to directionally push questions similar to the wrong questions to the students;
-a cloud achievements repository for storing student exam achievements.
On the basis of the technical proposal, the device comprises a shell,
positioning identifiers are arranged at the top and the bottom of the test paper; the location identifier is used for identifying the orientation of the test paper;
a fixed score frame for filling the scores obtained by the big questions is arranged in front of each big question stem of the test paper;
each question of the test paper is provided with a question positioning identifier at present, and the question positioning identifier is used for distinguishing two adjacent questions.
On the basis of the technical scheme, the local analysis system further comprises a local handwriting sample library, the sample extraction module is further used for cutting an area where a fixed fraction frame in a test paper scanning picture is located, the cut picture is used as a training picture, the training picture is stored in the local handwriting sample library, and the training picture is used as a training set of an image recognition technology.
On the basis of the technical scheme, the cloud processing system further comprises a cloud handwriting sample library, and the data synchronization module is further used for uploading training pictures in the local handwriting sample library to the cloud handwriting sample library and synchronizing the training pictures in the cloud handwriting sample library to the local handwriting sample library.
On the basis of the technical scheme, the local analysis system further comprises a local student score library, the student examination scores obtained by the examination paper scanning management module are stored in the local student score library, and then the student examination scores in the local student score library are uploaded to the cloud end score library by the data synchronization module.
On the basis of the technical scheme, the local analysis system further comprises a local student information base, and the local student information base is used for storing student information.
On the basis of the technical scheme, the cloud processing system further comprises a cloud student information base, and the data synchronization module is further used for uploading student information in the local student information base to the cloud student information base.
On the basis of the technical scheme, the cloud processing system further comprises a client module, and examination scores or wrong question conditions pushed to students by the cloud processing module are pushed to the intelligent equipment used by the students through the client module.
On the basis of the technical scheme, the client module is also used for the students to actively inquire examination scores or wrong question conditions.
On the basis of the technical scheme, the sample extraction module is further used for providing a manual proofreading function, manually correcting the scores of the errors identified by the test paper scanning management module, and uploading the examination scores of the students with the corrected scores to the cloud score library.
Compared with the prior art, the invention has the advantages that: compared with electronic paper marking, a marking teacher does not need to consider a marking area, original paper marking habits of the marking teacher are kept, the examination paper which is approved by the marking teacher is scanned into an examination paper scanning picture through a scanner, then the examination paper scanning picture is identified through an image processing technology, specific scores of all questions and specific wrong questions are obtained, the wrong questions are summarized through identifying wrong question marks, a personal wrong question set can be formed, and personalized wrong question pushing can be provided for students on the basis of cloud processing so as to facilitate wrong question review and practice after the students examine.
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FIG. 1 is a schematic structural diagram of an automatic processing system for a test paper with trace according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, an automatic processing system for a test paper with trace provided by the embodiment of the present invention includes a plurality of local analysis systems and a cloud processing system, and in an actual application process, a plurality of local analysis systems may exist, and one local analysis system is deployed in each school.
The local analysis system comprises a test paper scanning management module, a data synchronization module, a sample extraction module, a local handwriting sample library, a local student score library and a local student information library. The cloud processing system comprises a cloud processing module, a cloud score library, a cloud handwriting sample library, a cloud student information library, a client module and a cloud storage module. The data synchronization module is used for performing synchronous transmission of data between the local analysis system and the cloud processing system.
The examination paper scanning management module is used for driving the scanner to scan the examination paper after manual examination paper marking is finished, generating an examination paper scanning picture, identifying scores in the examination paper scanning picture based on an image identification technology, and uploading the obtained examination scores of students to the cloud end score library through the data synchronization module. In order to ensure the accuracy of the image recognition technology, a customized module can be adopted for the test paper, and specifically, positioning identifiers are arranged at the top and the bottom of the test paper; the positioning identifier is used for identifying the orientation of the test paper, a fixed score frame used for filling the scores obtained by the big questions is arranged in front of each big question of the test paper, each question of the test paper is provided with a question positioning identifier at present, and the question positioning identifiers are used for distinguishing two adjacent questions. The local analysis system also comprises a local visualization module, and the local visualization module is used for providing a local viewing function for the test paper scanning pictures obtained by scanning the test paper scanning management module and displaying the examination scores of the students obtained after identification.
The sample extraction module is used for cutting an area where the wrong question is located by taking a single question as a unit according to the wrong question in the test paper scanning picture to obtain a wrong question picture, and transmitting the wrong question picture to the cloud storage module. Regarding the judgment of the wrong question in the test paper scanning picture, the teacher of the examination paper can make an appointment, when the teacher of the examination paper makes the examination paper, if the answer written by the student for the current question is the wrong answer, the teacher of the examination paper adds the wrong correction mark (the wrong correction mark can be the symbol x, the symbol v, etc.), when the image recognition is carried out subsequently, if the wrong correction mark is recognized, namely, the current question is judged to be the wrong question, the examination paper is cut. The wrong question picture includes the question and the answer written by the student for the current question. In the process of identifying the scores, the problem of identification errors may exist, and for the situations, the sample extraction module is further used for providing a manual proofreading function, manually correcting the scores identified by the test paper scanning management module, and uploading the scores of the students with corrected scores to the cloud end score library.
The cloud processing module is used for collecting examination scores of students in the cloud score library and wrong-question pictures in the cloud storage module, directionally pushing examination scores or wrong-question conditions to the students, and conducting statistical analysis on the wrong-question pictures, so that questions similar to the wrong questions are directionally pushed to the students. Through the propelling movement, the student can learn own examinee score, also can see the correction record of wrong questions in the own examination paper simultaneously, makes things convenient for the follow-up examination lack of knowledge point of student to the mending.
The local analysis system further comprises a local handwriting sample library, the sample extraction module is further used for cutting the area where the fixed fraction frame in the test paper scanning picture is located, the cut picture is used as a training picture, the training picture is stored in the local handwriting sample library, and the training picture is used as a training set of the image recognition technology. The local handwriting sample library is equivalent to the collection of the handwriting of each paper-reading teacher, and the handwriting of the paper-reading teacher is used as a training set, so that the image recognition technology is trained in a targeted manner, and the recognition accuracy of the image recognition technology on the scores in the test paper scanning pictures is effectively improved. The data synchronization module is further used for uploading training pictures in the local handwriting sample library to the cloud handwriting sample library to form a large handwriting sample library of the marking teacher, the data synchronization module is further used for synchronizing the training pictures in the cloud handwriting sample library to the local handwriting sample library, and the training pictures in the cloud handwriting sample library are incrementally synchronized to a local analysis system of each school through the data synchronization module, so that the accuracy of picture identification is further improved, a cross-school marking and teacher cross-school movement scene can be responded, and the stability of the identification rate is guaranteed.
The examination scores of the students obtained by the examination paper scanning management module are firstly stored in a local student score library, and then the examination scores of the students in the local student score library are uploaded to a cloud score library by the data synchronization module. The local student information base is used for storing student information, and the student information comprises information such as student names, student numbers and classes. The data synchronization module is also used for uploading the student information in the local student information base to the cloud student information base.
The examination scores or wrong question conditions pushed to the students by the cloud processing module are pushed to the intelligent equipment used by the students through the client module, and the wrong question conditions are wrong question pictures in the student test paper. The examination record or wrong question condition is pushed by taking a student as a unit, and the examination record or wrong question condition of the student is only pushed to the student. The client module is also used for students to actively inquire examination results or wrong questions and can also inquire examination results or wrong questions in historical examinations.
Compared with electronic marking, the automatic processing system for the marked test paper has the advantages that an original paper marking mode is adopted, a marking teacher does not need to consider a marking area, the original paper marking habit of the marking teacher is kept, the test paper after the marking teacher is corrected is scanned into a test paper scanning picture through a scanner, then the test paper scanning picture is identified through an image processing technology, the specific score of each question and the specific question with errors are obtained, the score of each identified question is compared with the score calculated by the marking teacher, the total score is calculated automatically, and the probability of manual counting of the score errors is reduced. On the other hand, through discerning wrong question vestige, collect the wrong question, can form the wrong question set to individual, handle based on the high in the clouds, can provide individualized wrong question propelling movement for the student to the wrong question is reviewed and is practiced after the student examines, simultaneously, carries out sample analysis based on the high in the clouds, can provide multi-index multidimensionality's evaluation and trend prediction for school border joint examination.
The present invention is not limited to the above-described embodiments, and it will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements are also considered to be within the scope of the present invention. Those not described in detail in this specification are within the skill of the art.
Claims (10)
1. An automated processing system for scored test sheets, comprising:
a local analytics system, the local analytics system comprising:
the examination paper scanning management module is used for driving the scanner to scan the examination paper after manual examination paper marking is finished, generating an examination paper scanning picture, and meanwhile, identifying scores in the examination paper scanning picture based on an image identification technology, and uploading the obtained examination scores of students to the cloud score library through the data synchronization module;
-a data synchronization module for performing a synchronized transmission of data between the local analysis system and the cloud processing system;
the sample extraction module is used for cutting an area where the wrong question is located by taking a single question as a unit according to the wrong question in the test paper scanning picture to obtain a wrong question picture, and uploading the wrong question picture to the cloud storage module;
a cloud processing system, the cloud processing system comprising:
the cloud processing module is used for collecting the examination scores of the students in the cloud score library and the wrong-question pictures in the cloud storage module, directionally pushing the examination scores or the wrong-question situations to the students, and performing statistical analysis on the wrong-question pictures so as to directionally push questions similar to the wrong questions to the students;
-a cloud achievements repository for storing student exam achievements.
2. An automated processing system for scored test papers as in claim 1, wherein:
positioning identifiers are arranged at the top and the bottom of the test paper; the location identifier is used for identifying the orientation of the test paper;
a fixed score frame for filling the scores obtained by the big questions is arranged in front of each big question stem of the test paper;
each question of the test paper is provided with a question positioning identifier at present, and the question positioning identifier is used for distinguishing two adjacent questions.
3. An automated processing system for scored test papers as in claim 2, wherein: the local analysis system further comprises a local handwriting sample library, the sample extraction module is further used for cutting the area where the fixed fraction frame in the test paper scanning picture is located, taking the cut picture as a training picture, and storing the training picture in the local handwriting sample library, wherein the training picture is used as a training set of an image recognition technology.
4. An automated trace test paper handling system as claimed in claim 3, wherein: the cloud processing system further comprises a cloud handwriting sample library, and the data synchronization module is further used for uploading training pictures in the local handwriting sample library to the cloud handwriting sample library and synchronizing the training pictures in the cloud handwriting sample library to the local handwriting sample library.
5. An automated processing system for scored test papers as in claim 1, wherein: the local analysis system further comprises a local student achievement library, the student examination achievement obtained by the examination paper scanning management module is stored in the local student achievement library, and then the data synchronization module uploads the student examination achievement in the local student achievement library to the cloud achievement library.
6. An automated processing system for scored test papers as in claim 1, wherein: the local analysis system further comprises a local student information base, and the local student information base is used for storing student information.
7. An automated trace test paper handling system as claimed in claim 6, wherein: the cloud processing system further comprises a cloud student information base, and the data synchronization module is further used for uploading student information in the local student information base to the cloud student information base.
8. An automated processing system for scored test papers as in claim 1, wherein: the cloud processing system further comprises a client module, and examination scores or wrong question conditions pushed to the students by the cloud processing module are pushed to the intelligent equipment used by the students through the client module.
9. An automated trace test paper handling system as claimed in claim 8, wherein: the client module is also used for the students to actively inquire examination scores or wrong question conditions.
10. An automated processing system for scored test papers as in claim 1, wherein: the sample extraction module is also used for providing a manual proofreading function, manually correcting the scores of the errors identified by the test paper scanning management module, and uploading the scores of the students' examinations after the scores are corrected to the cloud score library.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793538A (en) * | 2021-09-18 | 2021-12-14 | 珠海读书郎软件科技有限公司 | Method and system for collecting teaching assistance operation wrong questions |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104809677A (en) * | 2015-05-13 | 2015-07-29 | 江苏黄金屋教育咨询有限公司 | Automatic examination paper scoring method based on statistics and analysis of knowledge point mastering condition |
| CN107025456A (en) * | 2017-03-20 | 2017-08-08 | 安徽七天教育科技有限公司 | A kind of method of teacher comment vestige automatic identification |
| CN108416352A (en) * | 2018-03-23 | 2018-08-17 | 李文 | A kind of computer network marking system and method to go over files |
| CN109447860A (en) * | 2018-10-16 | 2019-03-08 | 苏州友教习亦教育科技有限公司 | Examination result and analysis system |
| CN110322379A (en) * | 2019-07-08 | 2019-10-11 | 深圳中兴网信科技有限公司 | Paper processing method and paper processing system |
-
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- 2019-12-30 CN CN201911398151.6A patent/CN111191592A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104809677A (en) * | 2015-05-13 | 2015-07-29 | 江苏黄金屋教育咨询有限公司 | Automatic examination paper scoring method based on statistics and analysis of knowledge point mastering condition |
| CN107025456A (en) * | 2017-03-20 | 2017-08-08 | 安徽七天教育科技有限公司 | A kind of method of teacher comment vestige automatic identification |
| CN108416352A (en) * | 2018-03-23 | 2018-08-17 | 李文 | A kind of computer network marking system and method to go over files |
| CN109447860A (en) * | 2018-10-16 | 2019-03-08 | 苏州友教习亦教育科技有限公司 | Examination result and analysis system |
| CN110322379A (en) * | 2019-07-08 | 2019-10-11 | 深圳中兴网信科技有限公司 | Paper processing method and paper processing system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793538A (en) * | 2021-09-18 | 2021-12-14 | 珠海读书郎软件科技有限公司 | Method and system for collecting teaching assistance operation wrong questions |
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