CN111429318A - Man-machine interactive acquisition and correction system for paper operation - Google Patents
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Abstract
The invention discloses a human-computer interactive acquisition and correction system for paper work, which comprises a mobile phone APP, a paper work scanning module, an image-text recognition module, a digital processing module, an image-text conversion module, a data comparison module, a work correction module, an electronic question bank, a manual checking module, a manual correction module, a data uploading module, a data receiving module, a question evaluation module, a question result analysis module, a wrong question label module, a label classification module, a label recognition module, a similar recommendation module, an error rate statistics module and a report generation module, wherein the invention innovatively and effectively combines an intelligent question bank technology and a manual checking right and wrong on the premise of not changing the traditional paper questions of students, provides a human-computer interactive acquisition-correction flow for paper work, is built in a traditional mobile phone or a small program, realizes the convenience of the correction mode and also ensures the accuracy of the correction result, meanwhile, the score rate is set for the subjective questions, so that a brand new and quick correction mode is provided for correcting the subjective questions.
Description
Technical Field
The invention relates to the technical field of education and teaching, in particular to a paper work human-computer interactive acquisition and correction system.
Background
The artificial intelligence enters the education field, the direction is to promote the education career to realize the teaching individuality, and the teaching individuality is to realize the teaching of each student according to the material. The main body of the student data is still paper homework, and the key of the education in accordance with the material lies in realizing the intelligent collection and correction of the paper homework. Two important indicators are convenience and accuracy.
The existing job collection method includes:
1. The shooting arrangement is carried out, on one hand, the shooting quality cannot be guaranteed, the questions are askew and cannot be identified, and the identification rate is not high;
2. The intelligent classroom needs to be provided with an electronic panel for each student, so that the cost is high;
3. The scanner is high in cost, is generally prepared in schools and is inconvenient to use;
4. In the prior art, only the correction of objective questions can be carried out, and the correction of subjective questions cannot be carried out.
Therefore, it is necessary to design a paper work human-computer interactive collection and correction system.
Disclosure of Invention
The invention aims to provide a paper operation man-machine interactive acquisition and correction system to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the paper work human-computer interactive acquisition and correction system comprises a mobile phone APP, a paper work scanning module, an image-text recognition module, a digital processing module, an image-text conversion module, a data comparison module, a work correction module, an electronic question bank, a manual checking module, a manual correction module, a data uploading module, a data receiving module, a question evaluation module, a question result analysis module, a wrong question label module, a label classification module, a label recognition module, a similar recommendation module, an error rate statistics module and a report generation module, wherein the mobile phone APP is connected with the paper work scanning module through a signal, the output end of the paper work scanning module is connected with the input end of the image-text recognition module through a signal, the output end of the image-text recognition module is connected with the input end of the digital processing module through a signal, the output end of the digital processing module is connected with the input end of the image-text conversion module through a signal, the output end of the image-text conversion module is in signal connection with the input end of the data comparison module, the output end of the data comparison module is in signal connection with the input end of the electronic question bank through the data uploading module, the input end of the data uploading module is in signal connection with the output end of the data receiving module, the output end of the data receiving module is in signal connection with the input end of the electronic question bank, the input end of the electronic question bank is in signal connection with the output end of the question evaluation module, the output end of the question evaluation module is in signal connection with the input end of the question result analysis module, the output end of the question result analysis module is in signal connection with the input end of the wrong question label module, the output end of the wrong question label module is in signal connection with the input end of the label identification module, and the output end of the label identification module is in signal connection with the input ends of the same type recommendation module, the output end of the question result analysis module is also connected with the input end of the report generation module through a signal.
According to the technical scheme, the electronic question bank is further connected with the operation correcting module through signals, the input end of the operation correcting module is connected with the output end of the manual checking module through signals, and the input end of the manual checking module is connected with the manual correcting module through signals.
According to the technical scheme, the basis of the image-text recognition module is established on an OCR recognition technology platform.
According to the technical scheme, the question evaluation and analysis module and the question making result analysis module establish a data analysis model according to analysis indexes.
According to the technical scheme, the output end of the question result analyzing module is also connected with the input end of the error rate counting module through signals.
According to the technical scheme, the output end of the wrong label module is also connected with the input end of the similar recommendation module through a signal.
According to the technical scheme, the label classification module comprises a question type label generation unit, a knowledge point label generation unit and a difficulty label generation unit.
According to the technical scheme, the input end of the similar recommending module is also connected with the output end of the electronic question bank through a signal.
Compared with the prior art, the invention has the following beneficial effects: the paper homework human-computer interaction type gathers the correction system, on the premise of not changing the student's traditional paper and doing the question, the novelty is the intellectual question bank technology and the artifical inspection is just wrong effectively to combine, propose the paper homework human-computer interaction type gathers-the correction procedure, place traditional cell-phone or little program in, both realized the convenience of correction mode and guaranteed the rate of accuracy of the result of correcting, simultaneously, through setting up the score limit for the subjective question, provide a brand-new quick correction mode for subjective question correction.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow diagram of the system of the present invention;
In the figure: 1. a mobile phone APP; 2. a paper job scanning module; 3. an image-text identification module; 4. a digital processing module; 5. a picture-text conversion module; 6. a data comparison module; 7. an operation correction module; 8. an electronic question bank; 9. a manual checking module; 10. a manual correction module; 11. a data uploading module; 12. a data receiving module; 13. a question evaluation and analysis module; 14. a question making result analysis module; 15. a wrong label module; 16. a tag classification module; 17. a tag identification module; 18. a similar recommendation module; 19. an error rate statistics module; 20. and a report generation module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a paper work man-machine interactive acquisition and correction system comprises a mobile phone APP1, a paper work scanning module 2, an image-text recognition module 3, a digital processing module 4, an image-text conversion module 5, a data comparison module 6, a work correction module 7, an electronic question bank 8, a manual checking module 9, a manual correction module 10, a data uploading module 11, a data receiving module 12, a question evaluation module 13, a question making result analysis module 14, a wrong question label module 15, a label classification module 16, a label recognition module 17, a similar recommendation module 18, an error rate statistic module 19 and a report generation module 20, wherein the mobile phone APP1 is connected with the paper work scanning module 2 through signals, the output end of the paper work scanning module 2 is connected with the input end of the image-text recognition module 3 through signals, the basis of the image-text recognition module 3 is established on an OCR recognition technology platform, and the recognition accuracy is guaranteed, the output end of the image-text recognition module 3 is connected with the input end of the digital processing module 4 through a signal, the output end of the digital processing module 4 is connected with the input end of the image-text conversion module 5 through a signal, the output end of the image-text conversion module 5 is connected with the input end of the data comparison module 6 through a signal, the output end of the data comparison module 6 is connected with the input end of the electronic question bank 8 through a signal, the input end of the data uploading module 11 is connected with the output end of the data receiving module 12 through a signal, the electronic question bank 8 is also connected with the operation correcting module 7 through a signal, the input end of the operation correcting module 7 is connected with the output end of the manual checking module 9 through a signal, the input end of the manual checking module 9 is connected with the manual correcting module 10 through a signal, the manual checking is convenient, the output end of the data receiving module 12 is connected with the input end, the input end of the electronic question bank 8 is also connected with the output end of the question evaluation module 13 through signals, the output end of the question evaluation module 13 is also connected with the input end of the question result analysis module 14 through signals, the question evaluation module 13 and the question result analysis module 14 establish a data analysis model according to analysis indexes to facilitate data analysis, the output end of the question result analysis module 14 is also connected with the input end of the error rate statistic module 19 through signals, the output end of the question result analysis module 14 is connected with the input end of the wrong question label module 15 through signals, the output end of the wrong question label module 15 is also connected with the input end of the similar recommendation module 18 through signals, the output end of the wrong question label module 15 is connected with the input end of the label identification module 17 through signals, the output end of the label identification module 17 is connected with the input ends of the classification label module 16 and the similar recommendation module 18 through signals, the label classifying module 16 comprises an item type label generating unit, a knowledge point label generating unit and a difficulty label generating unit, which are convenient for label classification, the input end of the similar recommending module 18 is further connected with the output end of the electronic item bank 8 through signals, which is convenient for pushing similar item types in the electronic item bank 8, and the output end of the item making result analyzing module 14 is further connected with the input end of the report generating module 20 through signals.
Based on the above, the invention firstly builds a large electronic question bank 8, establishes a uniform label for the question type, knowledge point, difficulty and other analysis indexes of the questions in the question bank through a label classification module 16, identifies the page cutting questions through a paper work scanning module 2 of a mobile phone APP1, converts the picture characters into data which can be identified by a computer through a picture-text identification module 3, a digital processing module 4 and a picture-text conversion module 5, compares the result with the similar questions in the electronic question bank 8 through a data comparison module 6, and corrects the questions through a work correction module 7; the tag identification module 17 identifies the corresponding questions in the electronic question bank 8 corresponding to the question tags; the two dimensions of the questions and the question making results are analyzed through the question evaluation module 13 and the question making result analysis module 14, the frequently wrong type questions are pushed according to the wrong question label module 15 and the similar recommendation module 18, meanwhile, the error rate counting module 19 and the report generating module 20 count the frequently wrong label type questions and generate reports, and a brand-new quick correction mode is provided for subjective question correction by setting the score for the subjective questions.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. Paper operation man-machine interactive collection correction system, including cell-phone APP (1), paper operation scanning module (2), picture and text identification module (3), digital processing module (4), picture and text conversion module (5), data contrast module (6), operation correction module (7), electronic questions bank (8), artifical module (9) of checking, artifical correction module (10), data upload module (11), data receiving module (12), question analysis module (13), do topic result analysis module (14), wrong topic label module (15), the label classifies module (16), label identification module (17), similar recommendation module (18), error rate statistics module (19) and report generation module (20), its characterized in that: the mobile phone APP (1) is connected with the paper operation scanning module (2) through a signal, the output end of the paper operation scanning module (2) is connected with the input end of the image-text recognition module (3) through a signal, the output end of the image-text recognition module (3) is connected with the input end of the digital processing module (4) through a signal, the output end of the digital processing module (4) is connected with the input end of the image-text conversion module (5) through a signal, the output end of the image-text conversion module (5) is connected with the input end of the data comparison module (6) through a signal, the output end of the data comparison module (6) is connected with the input end of the electronic question bank (8) through a data uploading module (11), the input end of the data uploading module (11) is connected with the output end of the data receiving module (12) through a signal, the output end of the data receiving module (12) is connected with the input end of the electronic question bank (8, the input end of the electronic question bank (8) is further connected with the output end of the question analyzing module (13) through signals, the output end of the question analyzing module (13) is further connected with the input end of the question result analyzing module (14) through signals, the output end of the question result analyzing module (14) is connected with the input end of the wrong question label module (15) through signals, the output end of the wrong question label module (15) is connected with the input end of the label identification module (17) through signals, the output end of the label identification module (17) is connected with the input ends of the label classification module (16) and the similar recommendation module (18) through signals, and the output end of the question result analyzing module (14) is further connected with the input end of the report generating module (20) through signals.
2. The paper job human-computer interactive acquisition and correction system according to claim 1, characterized in that: the electronic question bank (8) is further connected with the operation correcting module (7) through signals, the input end of the operation correcting module (7) is connected with the output end of the manual checking module (9) through signals, and the input end of the manual checking module (9) is connected with the manual correcting module (10) through signals.
3. The paper job human-computer interactive acquisition and correction system according to claim 1, characterized in that: the basis of the image-text recognition module (3) is established on an OCR recognition technology platform.
4. The paper job human-computer interactive acquisition and correction system according to claim 1, characterized in that: and the question evaluation and analysis module (13) and the question making result analysis module (14) establish a data analysis model according to the analysis indexes.
5. The paper job human-computer interactive acquisition and correction system according to claim 1, characterized in that: the output end of the question result analyzing module (14) is also connected with the input end of the error rate counting module (19) through signals.
6. The paper job human-computer interactive acquisition and correction system according to claim 1, characterized in that: the output end of the wrong label module (15) is also connected with the input end of the similar recommendation module (18) through signals.
7. The paper job human-computer interactive acquisition and correction system according to claim 1, characterized in that: the label classifying module (16) comprises a question type label generating unit, a knowledge point label generating unit and a difficulty label generating unit.
8. The paper job human-computer interactive acquisition and correction system according to claim 1, characterized in that: the input end of the similar recommending module (18) is also connected with the output end of the electronic question bank (8) through a signal.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111950240A (en) * | 2020-08-26 | 2020-11-17 | 北京高途云集教育科技有限公司 | Data correction method, device and system |
| CN114201126A (en) * | 2021-12-15 | 2022-03-18 | 北京大学 | Student homework generation method, printer and server |
| CN114932759A (en) * | 2022-04-19 | 2022-08-23 | 深圳市羽恒科技有限公司 | Wrong question analysis printing equipment and wrong question data analysis method |
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