CN112948453B - System for paper-out based on question difficulty - Google Patents
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Abstract
The invention provides a question difficulty paper output based system, which comprises a test question storage module: the question library is constructed according to the examination outline, and the question attribute of each test question in the question library is determined; wherein the title attribute comprises: a type attribute, an examination point attribute, a difficulty attribute and a time attribute; a title labeling module: the attribute numeralization module is used for carrying out attribute numeralization on the test questions in the question bank according to the question attributes; a topic screening module: the question library is used for receiving question information of the test paper, selecting questions in the question library according to the attribution numerical value and determining a test question set; and (3) a roll discharging module: the method is used for determining the question setting difficulty of the test paper, determining the difficulty ratio of the test paper, and selecting questions in the test paper set to generate the test paper. The invention improves the intelligence and the convenience of the test paper generation and saves time and human resources. The invention can also judge whether the reasonability of each test question in the test paper is judged when the test questions are selected, thereby ensuring that the test questions can be done by students.
Description
Technical Field
The invention relates to the technical field of online examination, in particular to a question difficulty-based paper-out system.
Background
At present, basically all schools can carry out targeted assessment in different learning stages of a school period, and the assessment of students through test paper is the mainstream assessment mode at present. At present, most schools directly extract a set of complete test paper from a fixed test paper library containing a plurality of test papers for examination, and the problem of examination question leakage is easy to occur in the mode, and the problem that the examination questions are old and cannot be matched with the learning content corresponding to a new teaching material is also possible; some schools adopt: the teacher screens the test paper one by one to complete the test paper, and the mode is time-consuming and labor-consuming and low in efficiency. Therefore, a system for topic-based difficulty rollout is currently needed.
Disclosure of Invention
The invention provides a question difficulty paper output system, which is used for solving the problems that in the prior art, most schools directly extract a set of complete test papers from a fixed test paper library containing a plurality of test papers to take an examination, the examination questions are easy to leak in the mode, and the examination questions are possibly not matched with the learning content corresponding to a new teaching material because the examination questions are old; some schools adopt: the teacher screens the test paper one by one to complete the test paper, and the method is time-consuming, labor-consuming and low in efficiency.
A system for topic-based difficulty rollout, comprising:
test question storage module: the question library is constructed according to the examination outline, and the question attribute of each test question in the question library is determined; wherein
The title attributes include: a type attribute, an examination point attribute, a difficulty attribute and a time attribute;
a title labeling module: the attribute numeralization module is used for carrying out attribute numeralization on the test questions in the question bank according to the question attributes;
a topic screening module: the question library is used for receiving question information of the test paper, selecting questions in the question library according to the attribution numerical value and determining a test question set;
and (3) a roll discharging module: the method is used for determining the question setting difficulty of the test paper, determining the difficulty ratio of the test paper, and selecting questions in the test paper set to generate the test paper.
As an embodiment of the present invention: the test question storage module comprises:
question bank range determining unit: the examination system is used for determining an investigation range of the examination paper according to the examination outline and acquiring examination questions in a cloud network according to the investigation range;
a topic classification unit: the system is used for performing situational analysis on the test questions after the test questions are collected, and respectively storing the situational test questions after situational analysis and the conventional test questions before situational analysis;
question bank constructing unit: the system is used for storing the situational test questions and the conventional test questions in a database based on a tree symmetric structure;
a type dividing unit: the system is used for dividing the test questions step by step according to the test question types and determining the attribute of each test question; wherein the content of the first and second substances,
the test question types comprise: subject type, chapter type, and question type;
an examination point determination unit: the system is used for determining a knowledge point corresponding to each test question in the test questions and determining the importance degree of the knowledge point in the test outline;
a time determination unit: the answer time of each test question is determined, the thinking time and the answering time of the test questions in the question bank are counted, and the standard answer time of each test question is determined according to the counting result;
a difficulty determination unit: and sequencing the answering time of the test questions in the question bank according to the standard answering time, carrying out gradient division according to a sequencing result to generate a gradient space, and taking each gradient as a difficulty value of the corresponding test question.
As an embodiment of the invention: the title classification unit comprises:
a scene construction subunit: the method comprises the steps of determining an applicable scene of each test question in a question bank in advance, and determining scene elements and a scene frame;
a judgment subunit: the system comprises a question bank, a scene database and a plurality of scene texts, wherein the scene database is used for respectively determining applicable scene elements and applicable scene frames of each test question in the question bank, forming a plurality of scene texts, introducing the test questions into the scene texts, and sequentially judging the scene texts to which each test question can be applied;
scenario subunit: the method comprises the steps of counting scenes to form situational test questions when the test questions can be applied to the scenes;
a storage subunit: the method is used for distinguishing the test questions before and after the situational test questions of each test question are stored through different storage spaces.
As an embodiment of the present invention: the examination point determining unit determines the importance degree of the knowledge points, and comprises the following steps:
step 1: according to the subject types, determining subject parameters of each test question:
wherein Z is i The subject meaning characteristics of the ith test question are shown; δ represents a discipline division coefficient; w i The number of types of character symbols representing the ith test question; rho i The byte number of the ith test question is represented; q. q.s i Representing the weight of the ith test question;
the meaning characteristic of the epsilon-th byte of the ith test question is shown; e j Representing the characteristic parameter of the jth door subject; i is 1,2,3, … … n, n represents the total number of the test questions; j is 1,2,3, … … m, m represents the total number of disciplines;
step 2: determining the knowledge point characteristics of the test questions according to the characteristics of each test question in the test questions:
wherein r is · Representing the type coefficient difference of the test questions; r represents the type coefficient of the test question; d i A knowledge-related scope parameter representing the ith test question; d i A knowledge-related range mean representing the ith test question;
the fact that the ith test question belongs to the jth subject is the total range of the knowledge points;
and step 3: determining the importance degree of the test questions in all the test questions according to the subject parameters and the knowledge point characteristics of the test questions:
wherein Y represents the importance of the test question.
As an embodiment of the present invention: the title labeling module comprises:
a type numeralization unit: the system comprises a question bank, a question database and a weight calculation module, wherein the question bank is used for storing the types of the questions to be tested, determining the weight of each question under the current type according to the type of each question, and determining a first numerical set of the test question type membership degree in the question bank through fuzzy reasoning based on the test question types;
an examination point digitizing unit: the system comprises a question bank, a question bank and a question database, wherein the question bank is used for storing question points of all questions, and the question bank is used for storing the question points of all the questions;
difficulty numeralization unit: the system comprises a question bank, a question answering time database, a third numerical value set and a third numerical value set, wherein the question answering time database is used for storing the standard answer time of each test question;
a time digitizing unit: the system comprises a question bank, a first numerical value set, a second numerical value set and a third numerical value set, wherein the first numerical value set is used for determining the ratio of thinking time to answering time according to the thinking time and the answering time of each question;
an attribute digitizing unit: the system is used for digitizing the digitized mean values of each question in the first digitized set, the second digitized set, the third digitized set and the fourth digitized set respectively, and taking the digitized mean values as attributes for digitization.
As an embodiment of the present invention: the title labeling module further comprises:
an information processing unit: the device is used for processing each test question, and determining the byte number, the acquisition time and the acquisition address of each test question;
an attribute value determination unit: the method comprises the steps of determining the value of the subject attribute of each test question, and grading each test question according to the attribute value to determine the grade of the test question;
a training unit: the linear regression equation is constructed according to the byte number, the acquisition time, the acquisition address and the test question level;
labeling unit: and the linear regression equation is led into a deep learning mathematic marking tool to determine a marking graph of each test question.
As an embodiment of the invention: the title screening module comprises:
a receiving unit: the system comprises a question receiving module, a question setting module and a question setting module, wherein the question setting module is used for receiving question setting information of a user and determining a question setting range, a question setting bias weight and a question setting subject;
an authority generation unit: is used for setting the examination question screening authority, wherein,
setting examination question type authority according to the question giving subject;
setting test question chapter authority according to the question setting range;
determining examination question knowledge point division authority according to the question bias weight;
screening unit: the system comprises a fuzzy algorithm, a selection rule and a screening rule, wherein the fuzzy algorithm is used for determining a selection tendency value of the test questions according to the test question screening authority and determining a screening value of each test question based on the correlation between the selection tendency value and an attribute value of each test question;
test question gathering unit: the method is used for determining question setting proportions of different types of test questions and determining a test question set according to the question setting proportions and the screening value.
As an embodiment of the present invention: the unwinding module comprises:
a demand difficulty judging unit: the system comprises a question setting module, a first difficulty factor, a second difficulty factor and a first rule module, wherein the question setting module is used for setting a question setting range according to question setting information;
an investigation difficulty judging unit: the system is used for determining an investigation object, determining the history level of the investigation object, and determining a second difficulty factor according to the history level;
a deviation difficulty judging unit: the system is used for determining historical investigation weak points, determining investigation focal points and determining a third difficulty factor according to the investigation focal points;
the type judgment proportioning unit: the difficulty matching is determined according to the weights of the first difficulty factor, the second difficulty factor and the third difficulty factor in different types of questions;
a roll-out unit: and the test paper is screened in the test question set according to the difficulty ratio to generate test paper.
As an embodiment of the present invention: the unwinding module further comprises:
question mode determination unit: the test paper management system is used for determining the test paper as an investigation test paper or an intensified test paper according to the question information, executing a conventional mode when the test paper is the investigation test paper, and executing an intensified mode when the test paper is the intensified test paper; wherein the content of the first and second substances,
when the test paper is in the conventional mode, the sum K of the difficulty of all the test questions in the difficulty ratio is calculated;
when the test paper is in the strengthening mode, the difficulty of each test question in the difficulty ratio can reach K; k represents a difficulty value.
As an embodiment of the present invention: the unwinding module further comprises:
a time limiting unit: the system is used for setting the conventional answer time of each test question and the total answer time of the test paper;
a rationality judgment unit: and the answer time judging module is used for judging whether the answer time of each question is reasonable according to the conventional answer time, and judging whether the test paper question selection is reasonable according to the total answer time of the conventional answer time of each question.
The invention has the beneficial effects that: firstly, generating a question bank, extracting test questions matched with the test paper difficulty level information from the question bank according to question information, namely question setting requirements, and then generating test papers; the method has the advantages that the corresponding test paper is automatically generated according to the difficulty level of the test paper, the intelligence and convenience of test paper generation are improved, and time and human resources are saved. In addition, the invention can judge whether the reasonability of each test question in the test paper is judged in the selection of the test questions, thereby ensuring that the test questions can be done by students.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
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 system diagram of a topic-based difficulty rollout system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in FIG. 1, the present invention is a system for difficult-to-document-based topic discharge, comprising:
test question storage module: the question library is constructed according to the examination outline, and the question attribute of each test question in the question library is determined; wherein
The title attributes include: a type attribute, an examination point attribute, a difficulty attribute and a time attribute;
the examination outline is determined before the question bank is built, the invention determines the question attribute of the test questions in the question bank, wherein, the type attribute is used for determining the subject of the test questions and the question type of the chapter of the subject at least comprises the following steps: selecting, filling in gaps, reading and the like; the examination point attribute is to determine which examination is performed on each test question and the corresponding specific examination point of the test paper. The difficulty attribute, the time attribute can be determined according to the answering time of one test question, the difficulty of each test question, the answering time, the question entry time and the like.
A title labeling module: the attribute numeralization module is used for carrying out attribute numeralization on the test questions in the question bank according to the question attributes; the attribute numeralization is to numeralize the states of each test question under different attributes, and the questions can be made based on numerical value matching according to the numerical values when the questions are made through the numeralization, so that the purpose of difficulty balance of the questions can be achieved, and the difficulty of the questions making can also be controlled. Therefore, the system is not only suitable for single-person coil-out monitoring, but also suitable for overall examination and coil-out of a large number of people.
A topic screening module: the question library is used for receiving question information of the test paper, selecting questions in the question library according to the attribution numerical value and determining a test question set; the question information comprises the scope of the question, the requirement of the question, the type of the question, the difficulty of the question and the like, and the invention gives the question according to the information of the question and the attribute of the question after being digitalized.
And (3) a roll discharging module: the method is used for determining the question setting difficulty of the test paper, determining the difficulty ratio of the test paper, and selecting questions in the test paper set to generate the test paper. Difficulty ratio is in order to be applicable to more different students, and the difficulty ratio of can as required goes on the question, also can go on the question according to fixed predetermined degree of difficulty ratio equally.
The working principle of the technical scheme is as follows: the invention relates to a system for setting questions according to the difficulty of test questions, wherein an examination outline can be preset, after the examination outline is set, the system can automatically construct question banks, the questions are captured based on cloud questions during construction, and each question is definitely classified during the purpose of question attributes. When the questions represent the purposes of the hu, the question difficulty, the type, the examination point, the answering time and the like are all digitalized and used as the judgment standard of the questions. And during the topic screening, the selected test questions are determined to be specific in the question bank according to specific topic information, and finally, test papers are generated by selecting the test questions in the test question set according to the difficulty ratio.
The beneficial effects of the above technical scheme are: firstly, generating a question bank, extracting test questions matched with the test paper difficulty level information from the question bank according to question information, namely question setting requirements, and then generating test papers; the method has the advantages that the corresponding test paper is automatically generated according to the difficulty level of the test paper, the intelligence and convenience of test paper generation are improved, and time and human resources are saved. In addition, the invention can judge whether the reasonability of each test question in the test paper is judged in the selection of the test questions, thereby ensuring that the test questions can be done by students.
As an embodiment of the present invention: the test question storage module comprises:
question bank range determining unit: the examination system is used for determining an investigation range of the examination paper according to the examination outline and acquiring examination questions in a cloud network according to the investigation range; the test outline determines the range of all questions in the question bank, so that the test questions can be prevented from being overdimensioned. The cloud network is used for acquiring the test questions because the cloud network can update the questions in real time and keep the diversity and the comprehensiveness of the questions.
A topic classification unit: the system is used for performing situational analysis on the test questions after the test questions are collected, and respectively storing the situational test questions after situational analysis and the conventional test questions before situational analysis; situational means bringing the test questions into a scene. For example, a mathematical application question is given to one application scene, and a situational test question is generated.
Question bank constructing unit: the system is used for storing the situational test questions and the conventional test questions in a database based on a tree symmetric structure; the tree symmetry is that the situational test questions and the conventional test questions are arranged on two sides of the tree diagram in a symmetrical mode, so that the situational test questions and the conventional test questions can be issued according to requirements of students when the papers are issued, and the questions can be prevented from being repeated due to symmetrical distribution.
A type dividing unit: the system is used for dividing the test questions step by step according to the types of the test questions and determining the attribute of each test question; wherein the content of the first and second substances,
the test question types comprise: subject type, chapter type, and question type;
and dividing the test questions in a large-to-small range, finally determining the type of each test question, and setting attribute parameters.
An examination point determination unit: the system is used for determining a knowledge point corresponding to each test question in the test questions and determining the importance degree of the knowledge point in the test outline; the more important the knowledge points are referred to in the test outline.
A time determination unit: the system is used for processing each test question in the test questions through a preset answer model, determining the answer time of each test question, counting the thinking time and the answer time of the test questions in the question bank, and determining the standard answer time of each question according to the counting result; the standard answering time is used for ensuring that the time is more reasonable when the examination paper is output, and the difficulty of the examination paper can be calculated.
A difficulty determination unit: and sequencing the answering time of the test questions in the question bank according to the standard answering time, carrying out gradient division according to a sequencing result to generate a gradient space, and taking each gradient as a difficulty value of the corresponding test question.
The working principle of the technical scheme is as follows: in the invention, after the test questions are collected, the invention can also perform the situational test questions, and the situational test questions are suitable for different students, because the practical teaching shows that twenty percent of children can easily receive the conventional test questions, and eighty percent of children can easily receive the situational test questions. On type division, discipline: the physical, mathematical and chemical division is adopted, the chapters represent the learning progress, and the types of the questions are different types of the questions such as selection questions, application questions, judgment questions and the like according to the chapters of the textbook. The time determination is to clearly recognize the difficulty of each question, and the average duration of the general questions made by students is a good difficulty judgment mode.
The beneficial effects of the above technical scheme are: the invention can be suitable for different students and has two question setting modes of situational mode and routine mode. The type division is accurate, the numeralization of questions is convenient to carry out, the importance degree of the test questions can be judged, the answering time of the test questions is counted, the questions have time standards, and the difficulty value is convenient to determine.
As an embodiment of the present invention: the title classification unit comprises:
a scene construction subunit: the method comprises the steps of determining an applicable scene of each test question in a question bank in advance, and determining scene elements and a scene frame; in the question bank of the invention, the scene elements and the scene frames of the applicable scenes of different types of test questions are preset, when new conventional test questions are added, the corresponding scene elements are directly extracted and filled in the scene frames to form the scene text of the situational test questions, and the main investigation content adaptability of the text winning test questions is imported to form the situational test questions.
A judgment subunit: the system comprises a question bank, a scene element, a scene frame, a scene text and a plurality of test questions, wherein the scene element and the scene frame are used for respectively determining each test question in the question bank, a plurality of scene texts are formed, the test questions are led into the scene texts, and the scene texts to which each test question can be applied are sequentially judged; when judging whether the conventional test questions are suitable for the scene texts, the method selects the most scene texts to form the situational test questions by sequentially performing matching screening.
Scenario subunit: the method comprises the steps of counting scenes to form situational test questions when the test questions can be applied to the scenes;
a storage subunit: the method is used for distinguishing the test questions before and after the situational test questions of each test question are stored through different storage spaces. Namely, the test questions before and after the situational are respectively stored on two sides of the space based on the tree diagram.
The working principle of the technical scheme is as follows: when the test questions are subjected to scene processing, the scene elements and the scene framework are indispensable, and the test questions can be rapidly processed. The storage aspects are respectively stored, which is equivalent to a tree-shaped bifurcation diagram and is divided into gradually finer parts.
The beneficial effects of the above technical scheme are: the method is convenient for rapid situational of the conventional test questions, is convenient for accurate storage of the test questions, and is easy to extract the test questions of different types.
As an embodiment of the present invention: the examination point determining unit determines the importance degree of the knowledge points, and comprises the following steps:
step 1: according to the subject types, determining subject parameters of each test question:
wherein Z is i The subject meaning characteristics of the ith test question are shown; δ represents a discipline division coefficient; w i The number of types of character symbols representing the ith test question; rho i The byte number of the ith test question is represented; q. q.s i Representing the weight of the ith test question;
the meaning characteristic of the epsilon-th byte of the ith test question is shown; e j Representing the characteristic parameter of the jth door subject; i is 1,2,3, … … n, n represents the total number of the test questions; j is 1,2,3, … … m, m represents the total number of disciplines;
in the present invention
Is a subject for dividing each test question according to the subject;
is used to determine the total content of the subject test question divided by p i Is used for extracting the ratio of the total content of the current test questions to the total content of the subject; and determining the capacity parameter of the subject test question totality by cumulatively determining the sum of the ratio of the total content of each test question to the total content of the subject in the subject; while
Is used for calculating the product of each byte of each test question and the subject characteristics by
Content parameters of each test question relative to the discipline can be determined; the content parameter is set as a subject parameter.
Step 2: determining the knowledge point characteristics of the test questions according to the characteristics of each test question in the test questions:
wherein r is · Representing the type coefficient difference of the test questions; r represents the type coefficient of the test question;D i a knowledge-related scope parameter representing the ith test question; d represents the average value of the knowledge-related range of the similar test questions;
the fact that the ith test question belongs to the jth subject is the total range of the knowledge points;
calculation of knowledge Point characteristics the invention introduces type coefficient differences of test questions by r · (D i -d i ) Calculating a knowledge-related range coefficient of the current type of test question;
determining a total range coefficient related to knowledge for calculating the current type of test question; determining the knowledge point characteristics of the current test questions according to the product of the ratio of the range coefficients and the content of the test questions, and determining the knowledge point characteristics of all the test questions through accumulation calculation;
and step 3: determining the importance degree of the test questions in all the test questions according to the subject parameters and the knowledge point characteristics of the test questions:
wherein Y represents the importance of the test question.
In the aspect of calculating the importance degree of the test questions, after the characteristics of the knowledge points and the subject parameters are determined, the invention passes through X H Z i And calculating the specific ratio of the specific knowledge coefficient of the main content of each test question to the total content of the test questions to determine the importance degree.
The working principle of the technical scheme is as follows: the subject parameters are calculated to judge the subject attributes of each subject, and because the examinations are single-subject examinations, the subject database can only search the subjects of one subject through the subject parameters when the subject is made. The knowledge point characteristics further strengthen the purpose of screening when the subjects are screened. It can know exactly what to look for and what to look for each test question in the existing test questions. And finally, judging the importance degree of the topic based on the ratio of the two factors to the accumulation of all bytes of all the topics under the condition that the two factors are determined at the main investigation point, wherein the importance degree is equivalent to the importance degree of each topic in all the topics, and the importance degree has no unique value.
As an embodiment of the present invention: the title labeling module comprises:
a type numeralization unit: the system comprises a question bank, a weight calculation module, a first numerical set and a second numerical set, wherein the weight calculation module is used for determining the weight of each test question under the current type according to the type of each test question and determining the first numerical set of the test question type membership degree in the question bank through fuzzy reasoning based on the test question type; the fuzzy inference of the invention is based on a general fuzzy inference model, calculates the type membership of the test questions and forms a numerical set.
An examination point digitizing unit: the system comprises a question bank, a first numerical value set and a second numerical value set, wherein the question bank is used for storing question points of all questions; the examination points are equal to the knowledge points of the test questions, and then the membership degree of the knowledge points is calculated.
Difficulty numeralization unit: the system comprises a question bank, a question answering time calculation module, a third numerical value set and a third numerical value set, wherein the question bank is used for determining the ratio of the standard answer time to the longest answer time of each test question according to the standard answer time of each test question and determining the third numerical value set of the difficulty in the question bank through difficulty-based fuzzy reasoning; the ratio of the standard answer time to the longest answer time of each test question determines the difficulty of the test question to a certain extent, so that the fuzzy inference based on the difficulty is carried out.
A time digitizing unit: the system comprises a question bank, a first numerical value set, a second numerical value set and a third numerical value set, wherein the first numerical value set is used for determining the ratio of thinking time to answering time according to the thinking time and the answering time of each question; in time, the thinking time actually determines the difficulty time of answering, and the answering time determines the efficiency time of answering.
An attribute digitizing unit: the system is used for digitizing the digitized mean values of each question in the first digitized set, the second digitized set, the third digitized set and the fourth digitized set respectively, and taking the digitized mean values as attributes for digitization. The title labeling module aims to perform attribute numeralization, each title determines attribute values from four angles, and the attribute values of different titles are different.
The working principle and the beneficial effects of the technical scheme are as follows: the type numeralization, the determination of the question type parameter, the numeralization of the examination point to determine the examination point parameter, the numeralization of the difficulty to determine the difficulty parameter, and the numeralization of the time to determine the time parameter are all based on the fuzzy reasoning, because the fuzzy reasoning reduces the calculation process, the middle calculation is omitted. And finally, determining the attribute numeralization of each question by the numeralization mean value of the three questions, wherein the numeralization has uniqueness.
As an embodiment of the present invention: the title labeling module further comprises:
an information processing unit: the device is used for processing each test question and determining the byte number, acquisition time and acquisition address of each test question; specific information used for determining that the test question is not reached;
an attribute value determination unit: the method comprises the steps of determining the value of the subject attribute of each test question, and grading each test question according to the attribute value to determine the grade of the test question; because the attribute values of different test questions are different, but all test questions have a total attribute value range, the invention determines the grade of each test question by grade division. For example: the difficulty attribute value of the test question is (1.2; 1.4; 1.7; 2.1; 2.5; 2.9; 3.8; 3.9; 7.5), and the attribute value range is (1.2-7.5); the grade dividing woolen can be divided into three grades, wherein the first grade comprises 1.2; 1.4; 1.7; the second level includes 2.1; 2.5; 2.9; the third level includes 3.8; 3.9; 7.5.
a training unit: the linear regression equation is constructed according to the byte number, the acquisition time, the acquisition address and the test question level; the regression linear equation is used for imaging the entity, and the regression linear equation embodies the characteristics of each test question; similar to the six mango star chart of article evaluation, the invention is based on the scatter diagram of the linear regression equation which can determine the test question; the graphic conditions of a large number of test questions can be determined simultaneously.
Labeling unit: and the linear regression equation is led into a deep learning mathematic labeling tool to determine a labeling graph of each test question. Deep learning mathematical annotation tools are numerous, for example: labelImg; yolo _ mark; vatic et al
The working principle and the beneficial effects of the technical scheme are as follows: the method comprises the steps of determining specific information of each test question during information processing, wherein the specific information is label information, attribute numeralization is to establish a linear regression equation for determining the level of each test question, the test questions are graph labels and labels of scatter diagrams, the labels have determinacy, and the states of different questions on difficulty, types and time are determined according to the positions of the test questions in the scatter diagrams.
As an embodiment of the present invention: the title screening module comprises:
a receiving unit: the system comprises a question receiving module, a question setting module and a question setting module, wherein the question setting module is used for receiving question setting information of a user and determining a question setting range, a question setting bias weight and a question setting subject;
an authority generation unit: is used for setting the examination question screening authority, wherein,
setting examination question type authority according to the question giving subject; the authority is used for screening out test questions in the same subject;
setting test question chapter authority according to the question setting range; for determining the scope of questions within the same subject;
determining examination question knowledge point division authority according to the question bias weight; and determining which knowledge points have more test questions and which knowledge points have less test questions according to the bias of question making.
Screening unit: the system comprises a fuzzy algorithm, a selection rule and a screening rule, wherein the fuzzy algorithm is used for determining a selection tendency value of the test questions according to the test question screening authority and determining a screening value of each test question based on the correlation between the selection tendency value and an attribute value of each test question;
test question gathering unit: the method is used for determining question setting proportions of different types of test questions and determining a test question set according to the question setting proportions and the screening value. All the test questions in the test question set can be selected, and the test questions conform to the test question selection information.
The working principle of the technical scheme is as follows: the receiving unit can judge what questions need to be presented, specification characteristics, range and investigation points of the questions, and the screening authority is set by the invention to determine the required test questions with higher accuracy. The final result is a test question set, and the test question set contains all selectable questions.
The beneficial effects of the above technical scheme are: the method and the device quickly determine which test questions need to be selected by setting the authority rules, complete statistics and further directly select the questions needing to be selected when the paper is output.
As an embodiment of the present invention: the unwinding module comprises:
a demand difficulty judging unit: the system comprises a question setting module, a first difficulty factor, a second difficulty factor and a first rule module, wherein the question setting module is used for setting a question setting range according to question setting information; the examination requirements are what contents need to be examined on the test paper needing to be provided, how difficult, how long the examination is, and the like.
An investigation difficulty judging unit: the system is used for determining an investigation object, determining the history level of the investigation object, and determining a second difficulty factor according to the history level; the difficulty factor of the test question is determined according to the adaptability of the object to be examined, so that the test paper is not too difficult or too simple.
A deviation difficulty judging unit: the system is used for determining historical investigation weak points, determining investigation focal points and determining a third difficulty factor according to the investigation focal points; the ability is improved by not considering where and where to do more examinations, so the weak points of students are also the establishment standards of difficulty factors.
The type judgment proportioning unit: the difficulty matching is determined according to the weights of the first difficulty factor, the second difficulty factor and the third difficulty factor in different types of questions;
a roll-out unit: and the test paper is screened in the test question set according to the difficulty ratio to generate test paper.
The working principle of the technical scheme is as follows: the difficulty level is required in the difficulty judgment, and the difficulty level is required to examine the contents, and the examination requirements are in the examination outline. The investigation difficulty is to judge the conventional investigation or the reinforced investigation, so that the overall difficulty of the subject is determined. The deviation difficulty is used for determining the weak points of students or answering persons before, and then single difficulty matching can be carried out, and the deviation of the whole students can be calculated for the whole students. And finally, generating a test paper through difficulty matching.
The beneficial effects of the above technical scheme are: according to the invention, when the test paper is drawn according to the question difficulty, the required difficulty is combined, then the question is drawn according to the specific question difficulty, the study on the weak points of students can be strengthened, and the level detection and the strengthening detection are clearly distinguished.
As an embodiment of the present invention: the unwinding module further comprises:
question mode determination unit: the test paper management system is used for determining the test paper as an investigation test paper or an intensified test paper according to the question information, executing a conventional mode when the test paper is the investigation test paper, and executing an intensified mode when the test paper is the intensified test paper; wherein the content of the first and second substances,
when the test paper is in the conventional mode, the sum K of the difficulties of all the test questions is matched according to the difficulty; k may be the highest difficulty value, or any difficulty value, depending on the user setting.
When the test paper is in the strengthening mode, the difficulty of each test question in the difficulty ratio can reach K; k represents a difficulty value.
The working principle of the technical scheme is as follows: difficulty matching exists in the difficulty of setting questions, and the highest difficulty value of each question type is 10; for example: mathematics examination paper: the method comprises the following steps of selecting questions, applying questions and solving questions;
there are two question modes:
the first method comprises the following steps: in the conventional mode, the sum of the difficulty ratios is 10;
the choice questions and the application questions can be matched according to the difficulty of solving the questions as follows: 3:5: 2; 3:3: 4; etc. of
And the second method comprises the following steps: the strengthening mode, the sum of the difficulty ratios is (10-30);
selecting questions and applying questions, wherein the difficulty ratio of solving the questions can be as follows: 10:10: 10; 5:10:5, etc.;
the beneficial effects of the above technical scheme are: the examination and the routine detection can be carried out according to the needs, and the examination paper can not only be automatically discharged, but also be suitable for different students, whether the overall examination of a plurality of students or the independent examination of a single student.
As an embodiment of the present invention: the unwinding module further comprises:
a time limiting unit: the system is used for setting the conventional answer time of each test question and the total answer time of the test paper;
a rationality judgment unit: and the answer time judging module is used for judging whether the answer time of each question is reasonable according to the conventional answer time, and judging whether the test paper question selection is reasonable according to the total answer time of the conventional answer time of each question.
The working principle of the technical scheme is as follows: when each mode is distributed and the question is selected, whether the proportion is reasonable or not is judged based on the question answering time of each question; for example: when the total answer time of the selected questions is not more than 30 minutes, the sum of the total answer time of the 10 questions is not more than 30 minutes; adding the answering time of each question, wherein the sum of the answering times is not more than 30 minutes; the answering time is preset.
The beneficial effects of the above technical scheme are: the rationality detection only has one purpose, because the test paper is for effectual detecting after all, and the majority is in whole detection moreover, in order to guarantee the fairness, judges the rationality of every topic, and then carries out the overall detection's that the selected question accords with all people expectation.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A system for topic-based difficulty rollout, comprising:
the test question storage module: the question library is constructed according to the examination outline, and the question attribute of each test question in the question library is determined; wherein
The title attributes include: a type attribute, an examination point attribute, a difficulty attribute and a time attribute;
a title labeling module: the attribute numeralization module is used for carrying out attribute numeralization on the test questions in the question bank according to the question attributes;
a topic screening module: the question library is used for receiving question information of the test paper, selecting questions in the question library according to the attribution numerical value and determining a test question set;
and (3) a roll discharging module: the question matching method is used for determining question setting difficulty of the test paper, determining the difficulty ratio of the test paper, and selecting questions in the test paper set to generate the test paper; the test question storage module comprises:
question bank range determining unit: the examination system is used for determining an investigation range of the examination paper according to the examination outline and acquiring examination questions in a cloud network according to the investigation range;
a topic classification unit: the examination question storage device is used for performing situational examination on the examination questions after the examination questions are collected, and respectively storing the situational examination questions after the situational examination and the conventional examination questions before the situational examination;
question bank constitution unit: the system is used for storing the situational test questions and the conventional test questions in a database based on a tree symmetric structure;
a type dividing unit: the system is used for dividing the test questions step by step according to the types of the test questions and determining the attribute of each test question; wherein the content of the first and second substances,
the test question types comprise: subject type, chapter type, and question type;
an examination point determination unit: the system is used for determining a knowledge point corresponding to each test question in the test questions and determining the importance degree of the knowledge point in the test outline;
a time determination unit: the answer time of each test question is determined, the thinking time and the answering time of the test questions in the question bank are counted, and the standard answer time of each test question is determined according to the counting result;
a difficulty determination unit: sequencing the answering time of the test questions in the question bank according to the standard answering time, performing gradient division according to a sequencing result to generate a gradient space, and taking each gradient as a difficulty value of the corresponding test question;
the examination point determining unit determines the importance degree of the knowledge points, and comprises the following steps:
step 1: according to the subject types, determining subject parameters of each test question:
wherein the content of the first and second substances,
is shown as
Subject meaning characteristics of the test questions;
representing a subject division coefficient;
is shown as
The number of types of character symbols of the test question;
is shown as
The number of bytes of the test question;
is shown as
Weighting the test questions;
is shown as
Test question no
A meaning characteristic of a byte;
is shown as
A door subject characteristic parameter;
，
representing the total number of the test questions;
，
representing the total number of disciplines;
step 2: determining the knowledge point characteristics of the test questions according to the characteristics of each test question in the test questions:
wherein the content of the first and second substances,
representing the type coefficient difference of the test questions;
a type coefficient representing the test question;
is shown as
Knowledge-related scope parameters of the road test questions;
the range mean value related to knowledge representing the similar test questions;
is shown as
The examination questions belong to
The phylogenetic disciplines are the total range of points of knowledge;
and step 3: determining the importance degree of the test questions in all the test questions according to the subject parameters and the knowledge point characteristics of the test questions:
wherein the content of the first and second substances,
indicating the importance of the test question.
2. The system of claim 1, wherein the topic classification unit comprises:
a scene construction subunit: the method comprises the steps of determining an applicable scene of each test question in a question bank in advance, and determining scene elements and a scene frame;
a judgment subunit: the system comprises a question bank, a scene database and a plurality of scene texts, wherein the scene database is used for respectively determining applicable scene elements and applicable scene frames of each test question in the question bank, forming a plurality of scene texts, introducing the test questions into the scene texts, and sequentially judging the scene texts to which each test question can be applied;
scenario subunit: the method comprises the steps of counting scenes to form situational test questions when the test questions can be applied to the scenes;
a storage subunit: the method is used for distinguishing the test questions before and after the situational test questions of each test question are stored through different storage spaces.
3. The system of claim 1, wherein the topic tagging module comprises:
a type numeralization unit: the system comprises a question bank, a weight calculation module, a first numerical set and a second numerical set, wherein the weight calculation module is used for determining the weight of each test question under the current type according to the type of each test question and determining the first numerical set of the test question type membership degree in the question bank through fuzzy reasoning based on the test question type;
an examination point digitizing unit: the system comprises a question bank, a first numerical value set and a second numerical value set, wherein the question bank is used for storing question points of all questions;
difficulty numeralization unit: the system comprises a question bank, a question answering time database, a third numerical value set and a third numerical value set, wherein the question answering time database is used for storing the standard question answering time of each test question;
a time digitizing unit: the system comprises a question bank, a first numerical value set, a second numerical value set and a third numerical value set, wherein the first numerical value set is used for determining the ratio of thinking time to answering time according to the thinking time and the answering time of each question;
an attribute digitizing unit: the system is used for digitizing the digitized mean values of each question in the first digitized set, the second digitized set, the third digitized set and the fourth digitized set respectively, and taking the digitized mean values as attributes for digitization.
4. The system of claim 3, wherein the topic tagging module further comprises:
an information processing unit: the device is used for processing each test question, and determining the byte number, the acquisition time and the acquisition address of each test question;
an attribute value determination unit: the method comprises the steps of determining the value of the subject attribute of each test question, and grading each test question according to the attribute value to determine the grade of the test question;
a training unit: the linear regression equation is constructed according to the byte number, the acquisition time, the acquisition address and the test question level;
labeling unit: and the linear regression equation is led into a deep learning mathematic labeling tool to determine a labeling graph of each test question.
5. The system of claim 1, wherein the topic screening module comprises:
a receiving unit: the system is used for receiving question setting information of a user and determining a question setting range, a question setting bias weight and a question setting subject;
an authority generation unit: is used for setting the examination question screening authority, wherein,
setting examination question type authority according to the question giving subject;
setting test question chapter authority according to the question setting range;
determining examination question knowledge point division authority according to the question bias weight;
a screening unit: the system comprises a fuzzy algorithm, a selection rule and a screening rule, wherein the fuzzy algorithm is used for determining a selection tendency value of the test questions according to the test question screening authority and determining a screening value of each test question based on the correlation between the selection tendency value and an attribute value of each test question;
test question gathering unit: the method is used for determining question setting proportions of different types of test questions and determining a test question set according to the question setting proportions and the screening value.
6. The system of claim 1, wherein the rollout module comprises:
a demand difficulty judging unit: the system comprises a question setting module, a first difficulty factor, a second difficulty factor and a first rule module, wherein the question setting module is used for setting a question setting range according to question setting information;
an investigation difficulty judging unit: the system is used for determining an investigation object, determining the history level of the investigation object, and determining a second difficulty factor according to the history level;
a deviation difficulty judging unit: the system is used for determining historical investigation weak points, determining investigation focal points and determining a third difficulty factor according to the investigation focal points;
the type judgment proportioning unit: the difficulty matching is determined according to the weights of the first difficulty factor, the second difficulty factor and the third difficulty factor in different types of questions;
a roll-out unit: and the test paper is screened in the test question set according to the difficulty ratio to generate test paper.
7. The system of claim 1, wherein the rollout module further comprises:
question mode determination unit: the test paper management system is used for determining the test paper as an investigation test paper or an intensified test paper according to the question information, executing a conventional mode when the test paper is the investigation test paper, and executing an intensified mode when the test paper is the intensified test paper; wherein the content of the first and second substances,
when the test paper is in the conventional mode, the sum of the difficulties of all the test questions in the difficulty ratio
；
When the test paper is in the strengthening mode, the difficulty of each test question in the difficulty ratio can reach
；
Indicating difficultyThe value is obtained.
8. The system of claim 1, wherein the rollout module further comprises:
a time limiting unit: the system is used for setting the conventional answer time of each test question and the total answer time of the test paper;
a rationality judgment unit: and the answer time judging module is used for judging whether the answer time of each question is reasonable according to the conventional answer time, and judging whether the test paper question selection is reasonable according to the total answer time of the conventional answer time of each question.
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