CN112164262A - Intelligent paper reading tutoring system - Google Patents
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- CN112164262A CN112164262A CN202011241800.4A CN202011241800A CN112164262A CN 112164262 A CN112164262 A CN 112164262A CN 202011241800 A CN202011241800 A CN 202011241800A CN 112164262 A CN112164262 A CN 112164262A
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- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
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Abstract
The invention provides an intelligent paper reading tutoring system and relates to the field of intelligent paper reading. An intelligent paper reading tutoring system comprises a test paper acquisition module, a paper reading analysis module and an examination question identification module; the examination paper acquisition module is used for acquiring examination paper questions and examination paper answers in one-person or multi-person examinations and sending the examination paper questions and the examination paper answers to the examination paper analysis module, the examination paper analysis module screens examination paper wrong questions in the examination paper questions according to the examination paper answers and sends the examination paper wrong questions to the examination paper identification module, and the examination paper identification module performs text identification on the content of the examination paper wrong questions to extract key words as examination points of the examination paper.
Description
Technical Field
The invention relates to the field of intelligent paper marking, in particular to an intelligent paper marking tutoring system.
Background
At present, when a papery examination is carried out, answer is generally carried out on an original test paper or an answer sheet is used, if the traditional answer is carried out on the original test paper, a large amount of manpower is needed to read the test paper in batches, and therefore the mode of online paper reading is gradually popularized.
At present, the online paper reading mode is generally that standard answers and photos of test papers are put on a computer display screen, and teachers check the standard answers and the photos through a computer to score. The online paper marking mode greatly improves the paper marking efficiency. However, the online examination reading mode still consumes time and labor, and the examination scores can only be counted generally by using the online examination reading mode, so that the learning efficiency of the examinees cannot be improved.
Therefore, in order to solve the above problems, an intelligent paper reading tutoring system capable of improving the learning efficiency of examinees is needed.
Disclosure of Invention
The invention aims to provide an intelligent paper marking tutoring system which can improve the study efficiency of examinees.
The embodiment of the invention is realized by the following steps:
the embodiment of the application provides an intelligent paper reading tutoring system, which comprises a test paper acquisition module, a paper reading analysis module and an examination question identification module; the examination paper obtaining module is used for obtaining examination paper questions and examination paper answers in one-person or multi-person examinations and sending the examination paper questions and the examination paper answers to the examination paper analyzing module, the examination paper analyzing module screens examination paper wrong questions in the examination paper questions according to the examination paper answers and sends the examination paper wrong questions to the examination paper identifying module, and the examination paper identifying module performs text identification on the content of the examination paper wrong questions to extract key words as examination points of the examination paper.
In some embodiments of the present invention, the intelligent paper reading guidance system includes a wrong question summarizing module, and the wrong question summarizing module is configured to receive the test points of the test paper and obtain correct answers as error-prone knowledge points according to the test points of the test paper.
In some embodiments of the present invention, the above-mentioned intelligent paper marking tutoring system includes a knowledge chart module, and the knowledge chart module is configured to receive the error-prone knowledge points and generate a knowledge chart according to the error-prone knowledge points.
In some embodiments of the present invention, the test paper obtaining module obtains the question of the test paper and the answer of the test paper by scanning an unanswered test paper and an answer test paper.
In some embodiments of the present invention, the paper marking analysis module determines whether the answer of each test paper is correct by comparing the standard answer of each test paper question with the answer of the test paper, and selects the corresponding test paper question as the test paper error question when the answer of each test paper is incorrect.
In some embodiments of the invention, the examination paper analyzing module inputs the examination paper question and the examination paper answer into an examination paper learning model to obtain the standard answer.
In some embodiments of the invention, the paper marking learning model is obtained by machine learning using a plurality of sets of test paper data, wherein each set of test paper data includes the test paper answers and test paper scores for marking the test paper answers, and the paper marking analysis module selects the test paper answers as the standard answers according to the test paper scores.
In some embodiments of the invention, the paper marking analysis module selects a plurality of the test paper answers according to the test paper scores, analyzes text contents of the test paper answers by a semantic analysis technology, and recombines the text contents of the test paper answers into the standard answers.
In some embodiments of the present invention, the intelligent paper reading guidance system includes a paper reading communication module, and the paper reading communication module is configured to send the test points of the test paper to a mobile terminal.
In some embodiments of the present invention, the examination question recognition module performs semantic analysis on the contents of the examination paper wrong questions to extract keywords as examination points of the examination paper.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the embodiment of the application provides an intelligent paper reading tutoring system, which comprises a test paper acquisition module, a paper reading analysis module and an examination question identification module; the examination paper obtaining module is used for obtaining examination paper questions and examination paper answers in one-person or multi-person examinations and sending the examination paper questions and the examination paper answers to the examination paper analyzing module, the examination paper analyzing module screens examination paper wrong questions in the examination paper questions according to the examination paper answers and sends the examination paper wrong questions to the examination paper identifying module, and the examination paper identifying module performs text identification on the content of the examination paper wrong questions to extract key words as examination points of the examination paper.
According to the embodiment of the application, the examination paper questions and the examination paper answers in the examination of one person or more persons are obtained through the examination paper obtaining module, the examination paper error questions in the examination paper questions are screened by the examination paper analyzing module through the examination paper questions and the examination paper answers, the content of the examination paper error questions is subjected to text recognition through the examination question recognition module, the keywords are extracted to serve as examination paper examination points of the examination paper error questions, the examination paper examination points of the examination paper are conveniently extracted to be used as examination review, and the learning efficiency of examinees is improved. And because the examination paper questions and the examination paper answers of one person or more persons are utilized, examination points of individual examination conditions can be summarized, and the instructor can explain examination error-prone questions of most students, so that the teaching and learning efficiency is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram of an intelligent paper reading tutoring system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a schematic diagram illustrating an intelligent paper reading tutoring system according to an embodiment of the present application. The intelligent paper reading tutoring system comprises a test paper acquisition module, a paper reading analysis module and an examination question identification module; the examination paper obtaining module is used for obtaining examination paper questions and examination paper answers in one-person or multi-person examinations and sending the examination paper questions and the examination paper answers to the examination paper analyzing module, the examination paper analyzing module screens examination paper wrong questions in the examination paper questions according to the examination paper answers and sends the examination paper wrong questions to the examination paper identifying module, and the examination paper identifying module performs text identification on the content of the examination paper wrong questions to extract key words as examination points of the examination paper.
In detail, the test paper obtaining module is used for obtaining test paper questions and test paper answers in a one-person or multi-person test. Alternatively, a single test may be one or more test papers, and a test paper for a multi-person test may be the same test paper subject of the same test paper completed by multiple persons. Therefore, a plurality of test paper answers of the same or different test paper questions can exist in all the test paper questions acquired by the test paper acquisition module. Optionally, the test paper obtaining module may obtain the test paper question and the test paper answer by using an input or upload mode. Optionally, the test paper obtaining module may identify and process the obtained test paper questions and test paper answers, so as to delete the test paper questions or test paper answers that cannot be identified.
Optionally, the paper marking analysis module is in communication connection with the test paper acquisition module, so as to acquire test paper questions and test paper answers. In detail, the paper marking analysis module is used for screening test paper error questions in the test paper questions according to the test paper answers. Optionally, the paper marking analysis module screens out wrong test paper questions in the test paper answers as test paper wrong questions according to whether the test paper answers are wrong or not. The test paper answers can be text content or letter options, and whether the test paper answers are wrong or not is judged by comparing the test paper answers with the correct answers.
Optionally, the examination question recognition module is in communication connection with the examination paper reading analysis module, so as to obtain examination paper wrong questions. In detail, the examination question recognition module performs text recognition on the content of the wrong examination questions of the test paper, so that keywords are extracted to serve as examination points of the test paper. Optionally, the text recognition may locate the key sentences by using specific words, and delete the meaningless words and sentences through semantic analysis, thereby obtaining the keywords.
By acquiring the test paper questions and the test paper answers and screening the test paper questions corresponding to the test paper wrong questions in the test paper answers, the key words are extracted by using the content of the test paper wrong questions to serve as test paper examination points, a teacher can conveniently teach the test paper examination points easily by mistake, and the learning efficiency of students is improved.
The communication connection may be a bluetooth or network connection, or may be a direct input or upload method without acquiring data through communication connection between the components. The manner in which the various components are communicatively coupled together is not required to be described in detail herein, as is conventional to those of skill in the art.
In some embodiments of the present invention, the intelligent paper reading guidance system includes a wrong question summarizing module, and the wrong question summarizing module is configured to receive the test points of the test paper and obtain correct answers as error-prone knowledge points according to the test points of the test paper.
Optionally, the wrong-question summarizing module is in communication connection with the examination question identification module, so that test points of the test paper are obtained. Optionally, the wrong question summarizing module obtains correct answers according to the test points of the test paper, and the correct answers of the test points of the test paper are used as error-prone knowledge points, so that teaching is facilitated, and the learning efficiency is improved. The wrong question summarizing module can search correct answers according to the examination points of the test paper through the network. Optionally, the correct answers are input or uploaded according to the test points of different test paper questions, wherein the contents can be input through a computer or uploaded by using a storage medium.
In some embodiments of the present invention, the above-mentioned intelligent paper marking tutoring system includes a knowledge chart module, and the knowledge chart module is configured to receive the error-prone knowledge points and generate a knowledge chart according to the error-prone knowledge points.
Optionally, the knowledge icon module may be in communication connection with the error summary module, so as to obtain error-prone knowledge points. In detail, the knowledge chart module generates a chart according to the error-prone knowledge points, and therefore viewing and teaching are facilitated. Optionally, the knowledge graph module may enumerate error-prone knowledge points to generate a graph, or may make a tree graph according to the association between different error-prone knowledge points. The knowledge graph module can perform semantic analysis on different error-prone knowledge points of all examination paper error questions, so that the inclusion or parallel relation among the different error-prone knowledge points is obtained, and a tree graph is manufactured according to the relevance.
In some embodiments of the present invention, the test paper obtaining module obtains the question of the test paper and the answer of the test paper by scanning an unanswered test paper and an answer test paper.
In detail, the text content can be conveniently identified by scanning the unanswered test paper and the answer to the test paper to obtain the question and the answer to the test paper, wherein the scanning can be realized by taking a picture and identifying the text. Optionally, when the answer sheet test paper has test paper questions and test paper answers, the test paper obtaining module obtains the test paper questions by scanning the unanswered test paper, obtains the test paper questions and the test paper answers by the answer sheet test paper, screens out the test paper answers by using the test paper questions of the unanswered test paper, is convenient for removing the test paper answers which cannot be identified due to reasons such as the unanswered test paper answers and the like, and improves the accuracy of identifying the test points of the test paper.
In some embodiments of the present invention, the paper marking analysis module determines whether the answer of each test paper is correct by comparing the standard answer of each test paper question with the answer of the test paper, and selects the corresponding test paper question as the test paper error question when the answer of each test paper is incorrect.
Optionally, the paper marking analysis module compares the standard answers of the test paper questions with the test paper answers by using semantic analysis, so as to judge whether the test paper answers are correct according to the semantic similarity, and when the test paper answers are inaccurate, the corresponding test paper questions are selected as test paper error questions. Optionally, when the standard answers and the test paper answers are texts, performing semantic analysis according to the standard answers and the test paper answers, judging semantic similarity and giving corresponding scores, and when the scores are lower than a certain value, selecting test paper questions as test paper error questions. And judging whether the answer of the test paper is correct or not according to the comparison with the answer of the test paper, so that the wrong test paper can be conveniently obtained for learning.
In some embodiments of the invention, the examination paper analyzing module inputs the examination paper question and the examination paper answer into an examination paper learning model to obtain the standard answer.
In detail, the examination paper marking analysis module inputs examination paper questions and examination paper answers into the examination paper marking learning model to obtain standard answers, and therefore the standard answers are obtained through big data analysis and compared with the examination paper answers, and the result of judging whether the examination paper answers are correct is more accurate.
In some embodiments of the invention, the paper marking learning model is obtained by machine learning using a plurality of sets of test paper data, wherein each set of test paper data includes the test paper answers and test paper scores for marking the test paper answers, and the paper marking analysis module selects the test paper answers as the standard answers according to the test paper scores.
In detail, the paper marking learning model is obtained by machine learning by using a plurality of groups of test paper data, each group of test paper data comprises test paper answers and test paper scores for marking the test paper answers, and the paper marking analysis module selects the test paper answers as standard answers according to the size of the paper marking scores. By using the test paper scores of the paper marking learning model, wrong test paper scores in a plurality of groups of similar test paper answers can be conveniently screened out, so that a proper standard answer is determined according to the final test paper score.
In some embodiments of the invention, the paper marking analysis module selects a plurality of the test paper answers according to the test paper scores, analyzes text contents of the test paper answers by a semantic analysis technology, and recombines the text contents of the test paper answers into the standard answers.
In detail, the paper marking analysis module selects a plurality of test paper answers according to the size range of the test paper scores and combines the test paper answers into more accurate standard answers. The content of the multiple test paper answers can be split and extracted by utilizing semantic analysis to combine into standard answers, so that the result of judging whether the test paper answers are correct is more accurate.
In some embodiments of the present invention, the intelligent paper reading guidance system includes a paper reading communication module, and the paper reading communication module is configured to send the test points of the test paper to a mobile terminal.
Optionally, the examination paper communication module is in communication connection with the examination question recognition module, so as to obtain examination points of the examination paper. In detail, the examination paper communication module is in communication connection with the mobile terminal, so that examination paper examination points are sent to the mobile terminal, and students can learn independently through the mobile terminal.
In some embodiments of the invention, the examination question recognition module performs semantic analysis on the contents of the test paper wrong questions to extract keywords as the test points of the test paper.
Optionally, the examination question recognition module performs text recognition on the contents of the test paper wrong questions through semantic analysis so as to extract keywords, and excludes the keywords with repeated meanings according to semantic similarity, so that the keywords of the test paper wrong questions are selected as test points of the test paper.
It will be appreciated that the schematic diagram shown in FIG. 1 is merely illustrative, and that the intelligent scoring tutorial system may include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams, and combinations of blocks in the block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, the intelligent paper marking tutoring system provided by the embodiment of the application:
according to the embodiment of the application, the examination paper questions and the examination paper answers in the examination of one person or more persons are obtained through the examination paper obtaining module, the examination paper error questions in the examination paper questions are screened by the examination paper analyzing module through the examination paper questions and the examination paper answers, the content of the examination paper error questions is subjected to text recognition through the examination question recognition module, the keywords are extracted to serve as examination paper examination points of the examination paper error questions, the examination paper examination points of the examination paper are conveniently extracted to be used as examination review, and the learning efficiency of examinees is improved. And because the examination paper questions and the examination paper answers of one person or more persons are utilized, examination points of individual examination conditions can be summarized, and the instructor can explain examination error-prone questions of most students, so that the teaching and learning efficiency is improved.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. An intelligent paper reading tutoring system is characterized by comprising a test paper acquisition module, a paper reading analysis module and an examination question identification module; the examination paper obtaining module is used for obtaining examination paper questions and examination paper answers in one-person or multi-person examinations and sending the examination paper questions and the examination paper answers to the examination paper analyzing module, the examination paper analyzing module screens examination paper wrong questions in the examination paper questions according to the examination paper answers and sends the examination paper wrong questions to the examination paper identifying module, and the examination paper identifying module performs text identification on the content of the examination paper wrong questions to extract key words as examination points of the examination paper.
2. The intelligent paper reading tutoring system of claim 1, comprising a wrong-answer summarizing module, wherein the wrong-answer summarizing module is configured to receive the test points of the test paper and obtain correct answers as error-prone knowledge points according to the test points of the test paper.
3. The intelligent scoring tutoring system of claim 2, comprising a knowledge chart module, wherein the knowledge chart module is configured to receive the error-prone knowledge points and generate a knowledge chart according to the error-prone knowledge points.
4. The intelligent paper-reading tutoring system of claim 1, wherein, the test paper obtaining module obtains the test paper question and the test paper answer by scanning the unanswered test paper and the answer paper.
5. The intelligent paper marking tutoring system of claim 1, wherein the paper marking analysis module compares the standard answers of each test paper question with the test paper answers to determine whether each test paper answer is correct, and when incorrect, selects the corresponding test paper question as the test paper error question.
6. The intelligent paper marking tutoring system of claim 5, wherein, the paper marking analysis module inputs the paper marking questions and the paper marking answers into a paper marking learning model to obtain the standard answers.
7. The intelligent paper marking tutoring system of claim 6, wherein the paper marking learning model is obtained by machine learning by using a plurality of sets of test paper data, wherein each set of test paper data comprises the test paper answers and the test paper scores for marking the test paper answers, and the paper marking analysis module selects the test paper answers as the standard answers according to the test paper scores.
8. The intelligent paper marking tutoring system of claim 6, wherein the paper marking analysis module selects a plurality of the paper answers according to the paper scores, analyzes the text content of each paper answer through a semantic analysis technology, and recombines the text content of the plurality of the paper answers into the standard answer according to semantic similarity.
9. The intelligent paper reading tutoring system of claim 1, comprising a paper reading communication module, wherein the paper reading communication module is configured to send the test paper examination point to the mobile terminal.
10. The intelligent paper-reading tutoring system of claim 1, wherein, the examination question recognition module performs semantic analysis on the content of the test paper wrong questions to extract keywords as the test points of the test paper.
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