CN113191002A - Examination simulation method and system - Google Patents
Examination simulation method and system Download PDFInfo
- Publication number
- CN113191002A CN113191002A CN202110487127.0A CN202110487127A CN113191002A CN 113191002 A CN113191002 A CN 113191002A CN 202110487127 A CN202110487127 A CN 202110487127A CN 113191002 A CN113191002 A CN 113191002A
- Authority
- CN
- China
- Prior art keywords
- user
- examination
- data
- test
- simulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 66
- 238000004088 simulation Methods 0.000 title claims abstract description 59
- 238000012360 testing method Methods 0.000 claims abstract description 67
- 230000008569 process Effects 0.000 claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 5
- 238000009826 distribution Methods 0.000 claims description 30
- 230000006870 function Effects 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 4
- 238000011160 research Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 10
- 238000011156 evaluation Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000005315 distribution function Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012552 review Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007596 consolidation process Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an examination simulation method and system, and relates to the technical field of simulation. An examination simulation method includes: acquiring user identity data and inputting user basic condition parameters; verifying the identity of a user and sending a simulation test creating instruction; according to the basic condition parameters of the user, calculating and obtaining the simulation examination data of each individual subject by utilizing a normally distributed probability density function; monitoring the answering process and evaluating the results of the simulated test; which enables the creation of test sheets based on the identity and request of the user. In addition, the invention also provides an examination simulation system, which comprises: the device comprises an acquisition module, a creation instruction module, a measuring and calculating module and an output module.
Description
Technical Field
The invention relates to the technical field of simulation, in particular to an examination simulation method and system.
Background
Conventionally, in large-scale examinations and evaluations, there are qualified examinations and graded examinations for different purposes, and they are used for talent evaluation and talent selection. Basically, a number of related techniques based on CTT (classical measurement theory) are used in conventional examinations and evaluations. In recent years, with the development of theoretical research, IRT (project response theory) has been increasingly used, but large examinations are based on CTT theory as a whole.
In the related research process, methods generally adopted for qualitative research include methods routes such as literature research methods, experience summary methods and comprehensive evaluation methods, and for quantitative research, a simulation research method is generally adopted, and the influence degree of related factors on scoring modes is researched and corresponding solutions are proposed by utilizing big data analysis and simulation technologies.
In the process of obtaining various qualification certifications in the society, the examination is divided into paper examination papers and electronic examination papers without taking out the examination. Paper test paper is not environment-friendly, and the test paper needs typesetting, printing, carrying and large workload for manufacturing the test paper, thereby causing low efficiency. In the traditional electronic test paper, because each test paper is preset and batched, when in examination, a certain test paper is randomly selected for testing, and the test paper suitable for each user cannot be created according to the identity and the request of the user.
Disclosure of Invention
The invention aims to provide an examination simulation method which can realize the creation of test paper according to the identity and the request of a user.
It is another object of the present invention to provide an examination simulation system capable of executing an examination simulation method.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an examination simulation method, which includes acquiring user identity data and inputting user basic condition parameters; verifying the identity of a user and sending a simulation test creating instruction; according to the basic condition parameters of the user, calculating and obtaining the simulation examination data of each individual subject by utilizing a normally distributed probability density function; the answering process is monitored and the results of the simulated test are evaluated.
In some embodiments of the present invention, the acquiring the user identity data and entering the user basic condition parameters includes: and obtaining the examinee number, the subject information and the historical examination data information.
In some embodiments of the present invention, the above further includes: and acquiring subject information, wherein the subject information comprises basic information of each individual test paper, a score range and difficulty parameters.
In some embodiments of the present invention, the verifying the user identity and sending the instruction to create the simulation test includes: and judging whether the user can enter the simulated examination system or not according to the acquired user name identification, and if the judgment result shows that the user can enter the simulated examination system, acquiring the grade and the authority of the user.
In some embodiments of the present invention, the above further includes: and searching and matching corresponding items in the simulated test database according to the received request of the user for creating the test and the grade and the authority of the user, and generating a test instruction after integrating.
In some embodiments of the present invention, the calculating, according to the user basic condition parameters and by using a normally distributed probability density function, to obtain the simulated test data of each individual subject includes: and calculating to obtain the theoretical distribution probability of each point value by utilizing a probability density function of normal distribution according to the basic condition parameters, and multiplying the theoretical distribution probability by the number of subjects to obtain the subject distribution of each subject, namely the performance data distribution.
In some embodiments of the present invention, the above further includes: and distributing the result data to a result array with the same number as the subjects to obtain the result data of each single subject, matching the result data of at least one subject with the information of the examinees, and fixing the matching relationship.
In a second aspect, an embodiment of the present application provides an examination simulation system, which includes an obtaining module, configured to obtain user identity data and input user basic condition parameters; the creating instruction module is used for verifying the identity of the user and sending an instruction for creating the simulation test; the measuring and calculating module is used for measuring and calculating the simulation test data of each individual subject by utilizing the probability density function of normal distribution according to the basic condition parameters of the user; and the output module is used for monitoring the answering process and evaluating the simulation test result.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the device comprises an acquisition module, a creation instruction module, a measuring and calculating module and an output module.
In a third aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method such as any one of the examination simulation methods.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the quality of simulation data can be effectively improved in relevant research and analysis of large-scale examinations, so that the level and quality of examinations and tests are improved, paperless examinations are realized through on-line question setting and reading, the environment is protected, and the cost is saved; the test paper can be quickly generated and read in batches automatically, so that the working strength of teachers is greatly reduced, and the whole examination process is more convenient, efficient and fair; the user can check the examination condition of the user at any time so as to improve the examination condition in a targeted manner in time.
Drawings
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 illustrating steps of an examination simulation method according to an embodiment of the present invention;
fig. 2 is a detailed step diagram of an examination simulation method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an examination simulation system module according to an embodiment of the present invention;
fig. 4 is an electronic device according to an embodiment of the present invention.
Icon: 10-an acquisition module; 20-creating an instruction module; 30-a measuring and calculating module; and 40-an output module.
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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
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.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram illustrating the steps of an examination simulation method according to an embodiment of the present invention, which is shown as follows:
step S100, acquiring user identity data and inputting user basic condition parameters;
in some embodiments, the user identity data includes test taker information including a number of test takers, a test taker number, and package information; the subject information comprises basic information of each individual test paper, a score range and difficulty parameters.
For example, large multi-subject or multi-item examinations and assessments; the data simulation method for a single subject or a single item can be multi-source, namely, the data simulation method can be generated based on historical data (detail or statistical data) or without historical data (detail or statistical data), and can be generated based on standard normal distribution function simulation or other distribution functions (such as beta distribution) or methods when no historical data exists; for the generated multidimensional data (each single subject or single item data set), the data attribution (sequence) of each single-dimensional data set is changed through a specific algorithm, so that the data set with original multidimensional data without correlation (or correlation far from theoretical or actual expectation) is more in accordance with practical requirements and expectations.
Step S110, verifying the identity of a user and sending a simulation test creating instruction;
in some embodiments, the instructions adapted to the user are established based on the received request to create the instructions and the identity of the user. Therefore, the pertinence to the user is higher, and the reviewing efficiency is also higher.
After obtaining the corresponding level and authority of the user, the factors of the level and authority of the user may be considered when generating the examination instruction, and specifically may include: and searching and matching corresponding items in a test paper database according to the received request of the user creating instruction and the grade and the authority of the user, and generating the test instruction after integrating. For example, the general users may be divided into primary users who take a small number of tests and advanced users who take a large number of tests. If the user is only a primary user and makes a request for creating a new instruction, searching the test paper database and matching the items of the simple point, and integrating to generate a new instruction of the simple point. If the user is a high-level user, searching and matching difficult items in the test paper database, and integrating to generate a new instruction with high difficulty. Because the personalized questions are made by the user in a targeted manner, the user can be trained every time the examination is performed, and the more times the user trains, the more knowledge he obtains, and the more consolidated and more skilled the user obtains. In addition, the examination instruction is generated by integration, so that the examination questions can be set comprehensively, the review process is not omitted and is not biased, and the knowledge points are mastered comprehensively.
Step S120, calculating and obtaining simulation test data of each individual subject by utilizing a normally distributed probability density function according to the basic condition parameters of the user;
in some embodiments, the obtaining the performance data of each individual subject by measuring and calculating according to the user basic condition parameters and by using a probability density function of normal distribution includes:
calculating theoretical distribution probability of each score value by using a probability density function of normal distribution according to basic condition parameters, and multiplying the theoretical distribution probability by the number of examinees to obtain the number distribution of each score, namely the achievement number distribution; and (4) assigning the score number distribution to a score array equal to the number of examinees to obtain score data of each single subject.
The achievement data of each individual subject is simulated according to the configuration parameters, subject configuration parameters and historical data, and the achievement data of each individual subject can be simulated and generated through the historical data or can be simulated and generated according to a pure theory (generally, normal distribution is used).
For the generated multidimensional data (each single subject or single item data group), in terms of algorithm implementation, continuous and repeated iteration is performed by configuring a relatively constant correlation coefficient (Pearson product moment correlation coefficient) and utilizing the principle of a least square method (Gauss-Markov theorem) to obtain an optimal calculation result as a final data result of simulation.
Step S130, the answering process is monitored and the results of the simulated test are evaluated.
In some embodiments, evaluation of test results may begin after the test paper is submitted after monitoring that the user's answer is over. Evaluating the examination result comprises judging which question of the user is right, judging which question is wrong, giving a correct reference answer, and giving a final score comprehensively. And the subject content and weak links which are easy to make mistakes for the user can be evaluated, so that the next targeted review and consolidation can be facilitated.
Generating a test paper which is more targeted and comprises the error-prone questions of the user, and sending the test result after evaluating the test result; historical test results are stored. Correspondingly, when the test paper is generated at this time, the step of searching and matching the corresponding items further comprises the step of searching and matching the questions with the same test contents as the historical wrong questions of the user according to the historical test results of the user. Therefore, the online examination training of the user has pertinence, weak links are strengthened, and the reviewing efficiency is higher.
Example 2
Referring to fig. 2, fig. 2 is a detailed step diagram of an examination simulation method according to an embodiment of the present invention, which is shown as follows:
and step S200, obtaining the examinee number, the subject information and the historical examination data information.
Step S210, subject information is obtained, and the subject information comprises basic information of each individual test paper, a score range and difficulty parameters.
And step S220, judging whether the user can enter the simulated examination system or not according to the acquired user name identification, and if the judgment result is that the user can enter the simulated examination system, acquiring the grade and the authority of the user.
And step S230, searching and matching corresponding items in the simulated test database according to the received request of the user for creating the test and the level and the authority of the user, and generating a test instruction after integrating.
And step S240, calculating to obtain the theoretical distribution probability of each point value by utilizing the probability density function of normal distribution according to the basic condition parameters, and multiplying the theoretical distribution probability by the number of subjects to obtain the subject distribution of each subject, namely the performance data distribution.
And step S250, assigning score data distribution to score arrays with the number equal to that of subjects to obtain score data of each single subject, matching the score data of at least one subject with the information of the examinee, and fixing the matching relation.
In some embodiments, for already generated multidisciplinary multiple-set simulation data, the multiple sets of single-subject achievement data are matched to the examinee data through continuous iteration by means of the least square principle (gaussian-markov theorem) according to the configured correlation coefficient (pearson product moment correlation coefficient), in the iteration process, the main operation mode is the sorting change of the data, and after the iteration is carried out to the optimal result (the error is minimum), the formed data containing the examinee and each subject achievement is the final simulation data.
And for the final analog simulation data, performing related analysis processing on the data according to the range and the content of related quantitative research to generate a final target result.
According to the teaching of the embodiment, the embodiment of the invention is mainly used for data simulation of examinations, and can be applied to the relevant research and analysis of large-scale examinations (such as high and middle schools), including various eligibility examinations, graded examinations, design of rule standards for talent selection evaluation, design of assigning modes and relevant research fields. The method is suitable for large-scale examination and evaluation of multidisciplinary (multi-project) types. The method can be combined with modern measurement technology theories such as CTT (classical measurement theory), IRT (project reaction theory) and the like, and repeated iteration processing is carried out on one-dimensional and multi-dimensional data generated based on Gaussian distribution (normal distribution) or other methods, combined with correlation coefficients (Pearson product moment correlation coefficients) and based on the method theory of least square method (Gauss-Markov theorem), so that simulation data which more accord with theory and practice are simulated, the quality of the simulation data is effectively improved, and the level and the quality of examination and test are further improved. The method is easier to realize by using modern IT technology, especially big data and cloud computing and related technologies in a low-cost and high-efficiency mode, and effectively improves means and technical level for solving several core requirements (quality, fairness and efficiency) in large-scale examination.
Example 3
Referring to fig. 3, fig. 3 is a schematic diagram of an examination simulation system module according to an embodiment of the present invention, which is shown as follows:
the acquisition module 10 is used for acquiring user identity data and inputting user basic condition parameters;
a creating instruction module 20, configured to verify the identity of the user and send an instruction for creating a simulated test;
the measuring and calculating module 30 is used for measuring and calculating the simulated examination data of each individual subject by utilizing the probability density function of normal distribution according to the basic condition parameters of the user;
an output module 40 for monitoring the answering process and evaluating the results of the simulated test.
As shown in fig. 4, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system and method can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, 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/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, 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.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. 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 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the examination simulation method and system provided by the embodiment of the application can effectively improve the quality of simulation data in relevant research and analysis of large-scale examinations, so as to improve the level and quality of examinations and tests, realize paperless examinations through online question setting and reading, protect the environment and save the cost; the test paper can be quickly generated and read in batches automatically, so that the working strength of teachers is greatly reduced, and the whole examination process is more convenient, efficient and fair; the user can check the examination condition of the user at any time so as to improve the examination condition in a targeted manner in time.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An examination simulation method, comprising:
acquiring user identity data and inputting user basic condition parameters;
verifying the identity of a user and sending a simulation test creating instruction;
according to the basic condition parameters of the user, calculating and obtaining the simulation examination data of each individual subject by utilizing a normally distributed probability density function;
the answering process is monitored and the results of the simulated test are evaluated.
2. An examination simulation method as claimed in claim 1, wherein the acquiring of the user identification data and the entering of the user basic condition parameters comprises:
and obtaining the examinee number, the subject information and the historical examination data information.
3. An examination simulation method according to claim 2, further comprising:
and acquiring subject information, wherein the subject information comprises basic information of each individual test paper, a score range and difficulty parameters.
4. The test simulation method of claim 1, wherein the verifying the identity of the user and sending the instruction to create the simulated test comprises:
and judging whether the user can enter the simulated examination system or not according to the acquired user name identification, and if the judgment result shows that the user can enter the simulated examination system, acquiring the grade and the authority of the user.
5. The examination simulation method of claim 4, further comprising:
and searching and matching corresponding items in the simulated test database according to the received request of the user for creating the test and the grade and the authority of the user, and generating a test instruction after integrating.
6. The examination simulation method of claim 1, wherein the calculating the simulated examination data of each subject according to the user basic condition parameters by using the normally distributed probability density function comprises:
and calculating to obtain the theoretical distribution probability of each point value by utilizing a probability density function of normal distribution according to the basic condition parameters, and multiplying the theoretical distribution probability by the number of subjects to obtain the subject distribution of each subject, namely the performance data distribution.
7. The examination simulation method of claim 6, further comprising:
and distributing the result data to a result array with the same number as the subjects to obtain the result data of each single subject, matching the result data of at least one subject with the information of the examinees, and fixing the matching relationship.
8. An examination simulation system, comprising:
the acquisition module is used for acquiring user identity data and inputting user basic condition parameters;
the creating instruction module is used for verifying the identity of the user and sending an instruction for creating the simulation test;
the measuring and calculating module is used for measuring and calculating the simulation test data of each individual subject by utilizing the probability density function of normal distribution according to the basic condition parameters of the user;
and the output module is used for monitoring the answering process and evaluating the simulation test result.
9. An examination simulation system according to claim 8, comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the device comprises an acquisition module, a creation instruction module, a measuring and calculating module and an output module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110487127.0A CN113191002A (en) | 2021-05-04 | 2021-05-04 | Examination simulation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110487127.0A CN113191002A (en) | 2021-05-04 | 2021-05-04 | Examination simulation method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113191002A true CN113191002A (en) | 2021-07-30 |
Family
ID=76983639
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110487127.0A Pending CN113191002A (en) | 2021-05-04 | 2021-05-04 | Examination simulation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113191002A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105590283A (en) * | 2016-03-03 | 2016-05-18 | 云南电网有限责任公司教育培训评价中心 | Examination data analysis method on the basis of fuzzy synthetic evaluation model |
| CN107170313A (en) * | 2016-03-07 | 2017-09-15 | 北京竞业达数码科技有限公司 | A kind of wechat online simulation examination device and its method |
| CN107170314A (en) * | 2016-03-07 | 2017-09-15 | 北京竞业达数码科技有限公司 | A kind of computer online simulation examination device and its method |
| DE202018002612U1 (en) * | 2018-05-30 | 2018-07-13 | Daniel Sliwiok-Born | Subject-independent system for the content registration, evaluation and evaluation of examinations, which are provided on the basis of an open question or several open questions in the free text format |
| CN110705025A (en) * | 2019-09-03 | 2020-01-17 | 水晶球教育信息技术有限公司 | Large-scale examination data analog simulation method, device and storage medium |
| KR20200015054A (en) * | 2018-08-02 | 2020-02-12 | 주식회사 한국영상솔루션 | System for evaluating supply mock exam automatically |
-
2021
- 2021-05-04 CN CN202110487127.0A patent/CN113191002A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105590283A (en) * | 2016-03-03 | 2016-05-18 | 云南电网有限责任公司教育培训评价中心 | Examination data analysis method on the basis of fuzzy synthetic evaluation model |
| CN107170313A (en) * | 2016-03-07 | 2017-09-15 | 北京竞业达数码科技有限公司 | A kind of wechat online simulation examination device and its method |
| CN107170314A (en) * | 2016-03-07 | 2017-09-15 | 北京竞业达数码科技有限公司 | A kind of computer online simulation examination device and its method |
| DE202018002612U1 (en) * | 2018-05-30 | 2018-07-13 | Daniel Sliwiok-Born | Subject-independent system for the content registration, evaluation and evaluation of examinations, which are provided on the basis of an open question or several open questions in the free text format |
| KR20200015054A (en) * | 2018-08-02 | 2020-02-12 | 주식회사 한국영상솔루션 | System for evaluating supply mock exam automatically |
| CN110705025A (en) * | 2019-09-03 | 2020-01-17 | 水晶球教育信息技术有限公司 | Large-scale examination data analog simulation method, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Baron | Probability and statistics for computer scientists | |
| McHaney et al. | Computer simulation success: on the use of the end‐user computing satisfaction instrument: a comment | |
| Mitchell | The Delphi technique: An exposition and application | |
| Boumans | Science outside the laboratory: Measurement in field science and economics | |
| JP2022008867A (en) | Machine learning method, apparatus, and computer program for providing individually customized educational content based on learning efficiency | |
| Saptono et al. | Web-Based Evaluation for Teacher Professional Program: Design and Development Studies. | |
| Sukhija et al. | The recent state of educational data mining: A survey and future visions | |
| CN105930409A (en) | Data verification method and device based on dynamic generation rule | |
| Sarker et al. | Exploring student predictive model that relies on institutional databases and open data instead of traditional questionnaires | |
| Harmon | t-tests in Excel-The Excel statistical master | |
| CN113191002A (en) | Examination simulation method and system | |
| CN115984054A (en) | Intelligent education method and system based on big data platform | |
| CN114971384A (en) | Artificial intelligence machine learning experiment skill scoring method and system | |
| Wowczko | A case study of evaluating job readiness with data mining tools and CRISP-DM methodology | |
| CN112395115A (en) | Real-time result processing method and device, electronic equipment and computer readable medium | |
| CN112819389A (en) | Method and system for evaluating online education effect | |
| KR101946551B1 (en) | Server for generating diagnosis indicator to evaluate university administration service | |
| CN113159596A (en) | Big data configuration tuning system, method, device and medium based on deep learning | |
| CN110705025A (en) | Large-scale examination data analog simulation method, device and storage medium | |
| US20070111182A1 (en) | Method and system for distributing answers | |
| Al_Nawaiseh et al. | Evaluating system content’s quality in elearning system | |
| Nugent | Measurement equivalence, symmetry, effect sizes, and meta-analysis | |
| Li et al. | Assessing statistical results in MOR articles: An essay on verifiability and ways to enhance it | |
| Hatzinger et al. | Package ‘prefmod’ | |
| Owolabi et al. | Factors Influencing the Adoption of Electronic Information Resources among Postgraduate Students in Nigerian Universities. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |