CN109147446A - Electric examination system - Google Patents
Electric examination system Download PDFInfo
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- CN109147446A CN109147446A CN201810946913.0A CN201810946913A CN109147446A CN 109147446 A CN109147446 A CN 109147446A CN 201810946913 A CN201810946913 A CN 201810946913A CN 109147446 A CN109147446 A CN 109147446A
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- 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
- G09B7/04—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 characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
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- 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
Abstract
A kind of electric examination system, including examination question memory module, identity validation module, wrong topic analysis module, examination point obtain module, examination question abstraction module, close rule detection module, wherein identity validation module receives and verifies the identity information of examinee；Mistake topic analysis module obtains fallibility examination point corresponding with identity information according to biological information；Examination point obtains module and obtains default examination point corresponding with paper according to identity information；Examination question abstraction module is clustered into different groupings by similarity to default examination point according to fallibility examination point, using unsupervised learning algorithm, and is directed to different groupings, and corresponding examination question is extracted from test item bank and generates paper；The Degree of difficulty of test paper that rule detection module counts same group of other different examinees is closed, and deviates the paper that average Degree of difficulty of test paper is greater than preset value for wherein Degree of difficulty of test paper, examination question is extracted again and generates paper.At least to be partially solved the problem of complexity in Automatic Creating Test Paper is high, examination personalization is insufficient, examination point is more unilateral, without rule detection is closed.
Description
Technical field
This application involves artificial intelligence fields, in particular to a kind of electric examination system.
Background technique
With constantly improve for computer and network technology, occurs Computer Examination mode in recent years, that is, utilize
The objective item type paper that traditionally on paper is taken an examination is entered into test question using computer by computer technology and communication network technique
Library, examination pool pass through encryption, are downloaded by network or mobile storage is installed in the server of examination hall, and when student examination opens
Dynamic examination operating terminal, examination operating terminal download examination pool automatically, and student examination finishes, and computer automatic marking is simultaneously shown
Examination result, examinee's examination process recording documents and examination result recording documents are automatically saved in the server of examination hall, so making
It is had great advantages with Computer Examination mode than traditional examination mode.Patent document CN101964152A is disclosed
A kind of network test system based on local area network, still, the system can not automatically generate paper according to test item bank.
Existing Item Bank in Auto-generating Paper Based method has randomized, backtracking method, genetic algorithm etc..Wherein randomized structure letter
It is single, it is very fast for the extraction speed of service of single track topic；But this method is inefficient, main problem is not only to require examination
The examination question amount of exam pool is big, to be also distributed good.The time that randomized group volume usually requires search is longer, this is for online exam
It is insufferable.Backtracking method is to belong to conditional depth-priority-searching method, and for group volume simple paper of index, group is rolled into
Power is higher.But find that this algorithm will occupy a large amount of memory in practical application, program structure is relatively complicated,
And choose examination question and lack randomness, the group volume time is long.Patent document CN1588308A discloses a kind of using improved genetic algorithms
The Item Bank in Auto-generating Paper Based implementation method of method still may there are still following deficiencies: complexity is high, examination personalization is insufficient,
Examination point is more unilateral, can not carry out closing rule detection to paper is automatically generated.
Summary of the invention
This application provides a kind of electric examination system, at least be partially solved complexity in Automatic Creating Test Paper it is high,
The problem of personalization of examination is insufficient, examination point is more unilateral, without rule detection is closed.
According to the application wherein embodiment, electric examination system, including, examination question memory module, identity validation module, mistake
Inscribe analysis module, examination point obtains module, examination question abstraction module, closes rule detection module, wherein
Identity validation module receives and verifies the identity information of examinee；
Mistake topic analysis module obtains fallibility examination point corresponding with identity information according to biological information；
Examination point obtains module and obtains default examination point corresponding with paper according to identity information；
Examination question abstraction module is clustered into not default examination point by similarity according to fallibility examination point, using unsupervised learning algorithm
Same grouping, and it is directed to different groupings, corresponding examination question is extracted from test item bank generates paper；
The Degree of difficulty of test paper that rule detection module counts same group of other different examinees is closed, and flat for the deviation of wherein Degree of difficulty of test paper
Equal Degree of difficulty of test paper is greater than the paper of preset value, extracts examination question again and generates paper.
In an alternate embodiment of the invention, history test situation is determined according to identity information, and is obtained according to history test situation
Fallibility examination point corresponding with identity information.
In an alternate embodiment of the invention, presetting examination point is the preset examination point of current test for examinee.
In an alternate embodiment of the invention, for different groupings, corresponding examination question is extracted from test item bank and generates paper, packet
It includes:
For different groupings, in conjunction with fallibility examination point, corresponding examination question is extracted from test item bank and generates paper.
In an alternate embodiment of the invention, grouping includes the first grouping and second packet, and fallibility examination point includes the first examination point and the
Two examination points, wherein the first grouping includes the first examination point, and second packet includes the second examination point；
For different groupings, corresponding examination question is extracted from test item bank and generates paper, comprising:
At least one examination question from extraction in test item bank comprising the examination point in the first grouping, and extracted from test item bank and include
At least one examination question of examination point in second packet generates paper.
It in an alternate embodiment of the invention, include multiple examination points in the first grouping and second packet.
In an alternate embodiment of the invention, identity information is the student number or identification card number of examinee.
In an alternate embodiment of the invention, the identity information of examinee is verified by recognition of face.
In an alternate embodiment of the invention, the corresponding degree-of-difficulty factor of examination question is stored in test item bank, according to the difficulty system of each examination question
It unites and determines the difficulty of paper.
In an alternate embodiment of the invention, its degree-of-difficulty factor in test item bank is updated according to the accuracy of examination question dynamic.
It is high, examination a that the electric examination system of the application can at least be partially solved complexity in Automatic Creating Test Paper
The problem of propertyization is insufficient, examination point is more unilateral, without rule detection is closed.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen
Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.In the accompanying drawings:
Fig. 1 is the system block diagram schematic diagram according to the embodiment of the present application；
Fig. 2 is to cluster schematic diagram according to the fallibility point of the embodiment of the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
The embodiment of the application a part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's every other embodiment obtained without making creative work, all should belong to the model of the application protection
It encloses.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
According to the application wherein embodiment, a kind of electric examination system is provided, it should be noted that in the stream of attached drawing
The step of journey illustrates can execute in a computer system such as a set of computer executable instructions, although also, flowing
Logical order is shown in journey figure, but in some cases, it can be to be different from shown or described by sequence execution herein
The step of.
According to the electric examination system of the application wherein embodiment, as shown in Figure 1, the system may include:
Examination question memory module, identity validation module, wrong topic analysis module, examination point obtain module, examination question abstraction module, close rule
Detection module, in which:
Identity validation module receives and verifies the identity information of examinee；
Mistake topic analysis module obtains fallibility examination point corresponding with identity information according to biological information；
Examination point obtains module and obtains default examination point corresponding with paper according to identity information；
Examination question abstraction module is clustered into not default examination point by similarity according to fallibility examination point, using unsupervised learning algorithm
Same grouping, and it is directed to different groupings, corresponding examination question is extracted from test item bank generates paper；
The Degree of difficulty of test paper that rule detection module counts same group of other different examinees is closed, and flat for the deviation of wherein Degree of difficulty of test paper
Equal Degree of difficulty of test paper is greater than the paper of preset value, extracts examination question again and generates paper.
By the system in the present exemplary embodiment, which includes examination question memory module, identity validation module, wrong topic point
Analyse module, examination point obtains module, examination question abstraction module, closes rule detection module, wherein identity validation module receives and verifies examinee
Identity information；Mistake topic analysis module obtains fallibility examination point corresponding with identity information according to biological information；Examination point obtains module root
Default examination point corresponding with paper is obtained according to identity information；Examination question abstraction module is calculated according to fallibility examination point using unsupervised learning
Method is clustered into different groupings by similarity to default examination point, and is directed to different groupings, and corresponding examination is extracted from test item bank
Topic generates paper；The Degree of difficulty of test paper that rule detection module counts same group of other different examinees is closed, and inclined for wherein Degree of difficulty of test paper
From the paper that average Degree of difficulty of test paper is greater than preset value, examination question is extracted again and generates paper.It is automatic at least to be partially solved paper
The problem of complexity is high in generation, examination personalization is insufficient, examination point is more unilateral, without rule detection is closed.
In the following, will be further described to information processing method in the present exemplary embodiment.
Identity validation module receives and verifies the identity information of examinee.
Identity information can be various forms, as long as can distinguish to examinee.
In an alternate embodiment of the invention, the identity information is the student number or identification card number of the examinee.
In this way, receiving and verifying the identity information of examinee, personalized examination can be carried out for different examinees.
In an alternate embodiment of the invention, the identity information of the examinee can be verified by recognition of face, in this way, it is possible to reduce
The case where cheating at one's exam reduces examinee and inputs identity information at the same time it can also match the identity information of examinee by recognition of face
Operation.
Mistake topic analysis module obtains fallibility examination point corresponding with identity information according to biological information.
Examinee's history test situation can be determined according to identity informations such as student number, the identification card numbers of examinee, wherein including
Fallibility point/fallibility examination point of the examinee.It, can also be in this way, can not only carry out personalized examination for different examinee
The history test situation of each examinee is considered when automatically generating paper, to be examined and to be consolidated.
Examination point obtains module and obtains default examination point corresponding with paper according to identity information.
The default examination point is the preset some examination points of current test for the examinee.
Examination question abstraction module is clustered into not default examination point by similarity according to fallibility examination point, using unsupervised learning algorithm
Same grouping, and it is directed to different groupings, corresponding examination question is extracted from test item bank generates paper.
There are many kinds of methods, including supervised learning, unsupervised learning, semi-supervised learning and intensified learning for machine learning.
Unsupervised learning needs directly to model data in advance without any training sample, deposits in computer oneself discovery data
Internal relation.Seem that unsupervised learning is extremely difficult, because this is the process that a computer oneself is groped, but true
The input of upper not all training sample is all classified correctly, therefore will appear problem, be will lead to and is suitble to (over-
Fitting), this when of unsupervised learning is exactly suitable algorithm, and also therefore unsupervised learning has phase in data mining
Application prospect more more extensive than other methods.
In this embodiment, unsupervised learning is applied in the study and cluster to examination question, in this way, can be carried out to examination point
Clustering excavates the relevance before examination point, and is clustered into different groupings.
So-called clustering is exactly divided data sample according to the similar or different degree of pattern feature to be sorted
Group, to keep same group of data as similar as possible, the data of difference group are as different as possible.Its purpose is for Knowledge Discovery
Rather than for predicting.The standard for judging cluster result is exactly: the data similarity for organizing inside is bigger, data between group and group
Diversity factor is bigger, then Clustering Effect is better.Application range of the clustering in terms of computer science is very more, including mould
Formula identification, data analysis, text mining etc..
Clustering algorithm based on division is in machine learning using most.Its principle is: assuming that clustering algorithm institute
The objective function used all can be micro-, preliminary grouping is first carried out to data sample, then using this division result as initial value
Be iterated, adjusted according to the distance of sample point to each group, be grouped again repeatedly in an iterative process, finally obtain one it is optimal
Objective function.Final cluster result appears in the convergent situation of objective function.
K-means algorithm is one of the classic algorithm in the clustering algorithm based on division.Its steps can be summarized as follows:
(1) arbitrarily select k sample point as initial group center；
(2)repeat；
(3) according to the average value of sample point in group, each sample point (again) is assigned apart from nearest group；
(4) the average value of more new sample point calculates the average value of sample point in each group；
(5) until is no longer changed.
Why K-means algorithm becomes classic algorithm, is that it has the advantage that decision: (1) time complexity and number
According to collection size it is in a linear relationship, (2) it converge on locally optimal solution.
There is no a kind of algorithm to be perfectly, K-means algorithm also has the determination of own: (1) traditional K-means makes
With Euclidean distance, spherical data are only applicable to, (2) are more sensitive to noise and isolated point.
Other than K-means algorithm, commonly there are also K-medoid, K-modes and K- for the clustering algorithm based on division
Prototypes scheduling algorithm.
Corresponding examination question is extracted from test item bank generates paper, it can be in conjunction with the fallibility examination point.
For example, default examination point is clustered into N number of grouping comprising the first grouping and second point by unsupervised learning
Group, it is described first grouping and the second packet in include multiple examination points.As shown in Fig. 2, including fallibility in the first grouping
Point (fallibility examination point) 1 and fallibility point (fallibility examination point) 2 include fallibility point (fallibility examination point) 3, fallibility point (fallibility in second packet
Examination point) 4 and wrong point (fallibility examination point) 5.It include in first grouping from being extracted in test item bank when automatically generating paper
Examination point at least one examination question, and from extracting at least one examination question comprising the examination point in the second packet in test item bank,
Generate paper.
In this way, default examination point is clustered into multiple groupings, and determine grouping wherein comprising fallibility examination point, and with these packets
The examination point containing fallibility is grouped into unit, carries out the extraction of examination question, has not only considered the history test situation of different examinees, but also examines
The relevance between examination question is considered, examinee can be effectively reduced to the error rate of fallibility examination question, and carried out more to examinee
Comprehensive examination.
The Degree of difficulty of test paper that rule detection module counts same group of other different examinees is closed, and flat for the deviation of wherein Degree of difficulty of test paper
Equal Degree of difficulty of test paper is greater than the paper of preset value, extracts examination question again and generates paper.
In an alternate embodiment of the invention, the corresponding degree-of-difficulty factor of each examination question is stored in test item bank, according to each examination question
Difficulty system can calculate the difficulty of determining paper.
Count the examination of the different examinees of same group (for example, same class, alternatively, the same group of examinee to take an examination with reference to homogeneous)
Difficulty is rolled up, and deviates the paper that average Degree of difficulty of test paper is greater than preset value for wherein Degree of difficulty of test paper, examination question is extracted again and generates examination
Volume.In this way, can carry out closing rule detection to the paper that same group automatically generates, avoids Degree of difficulty of test paper difference excessive and influence to examine
The fairness of examination.
In an alternate embodiment of the invention, its degree-of-difficulty factor in test item bank is updated according to the accuracy of examination question dynamic.In this way,
Can be according to actual testing situations, the dynamic degree-of-difficulty factor for adjusting examination question in test item bank so that degree-of-difficulty factor it is more accurate,
Rationally.
In an exemplary embodiment of the disclosure, a kind of electric examination method is additionally provided, is included the following steps:
Receive and verify the identity information of examinee；
Fallibility examination point corresponding with identity information is obtained according to biological information；
Default examination point corresponding with paper is obtained according to identity information；
According to fallibility examination point, different groupings is clustered by similarity to default examination point using unsupervised learning algorithm, and
For different groupings, corresponding examination question is extracted from test item bank and generates paper；
The Degree of difficulty of test paper of same group of other different examinees is counted, and big for the average Degree of difficulty of test paper of wherein Degree of difficulty of test paper deviation
In the paper of preset value, examination question is extracted again and generates paper.
In an exemplary embodiment of the disclosure, a kind of electronic equipment that can be realized the above method is additionally provided.
Person of ordinary skill in the field it is understood that the various aspects of the application can be implemented as system, method or
Program product.Therefore, the various aspects of the application can be with specific implementation is as follows, it may be assumed that complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
The electronic equipment of this embodiment of the application is showed in the form of universal computing device.The group of electronic equipment
Part can include but is not limited to: at least one above-mentioned processing unit, at least one above-mentioned storage unit, the different system components of connection
The bus of (including storage unit and processing unit), display unit.
Wherein, the storage unit is stored with program code, and said program code can be executed by the processing unit, make
Obtain the step of processing unit executes the illustrative embodiments various according to the application of this specification foregoing description.Storage is single
Member may include the readable medium of volatile memory cell form, such as Random Access Storage Unit (RAM) and/or cache
Storage unit can further include read-only memory unit (ROM).
Storage unit can also include program/utility with one group of (at least one) program module, such journey
Sequence module includes but is not limited to: operating system, one or more application program, other program modules and program data, this
It may include the realization of network environment in each of a little examples or certain combination.
Bus can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage unit
Controller, peripheral bus, graphics acceleration port, processing unit or the office using any bus structures in a variety of bus structures
Domain bus.
Electronic equipment can also be communicated with one or more external equipments (such as keyboard, sensing equipment, bluetooth equipment etc.),
Can also be enabled a user to one or more equipment interacted with the electronic equipment communication, and/or with make the electronic equipment
Any equipment (such as router, modem etc.) that can be communicated with one or more of the other calculating equipment communicates.
This communication can be carried out by input/output (I/O) interface.Also, electronic equipment can also pass through network adapter and one
A or multiple networks (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet) communication.Such as figure
Shown, network adapter is communicated by bus with other modules of electronic equipment.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, terminal installation or network equipment etc.) is executed according to disclosure embodiment
Method.
In an exemplary embodiment of the disclosure, a kind of computer readable storage medium is additionally provided, energy is stored thereon with
Enough realize the program product of this specification above method.In some possible embodiments, the various aspects of the application may be used also
In the form of being embodied as a kind of program product comprising program code, when described program product is run on the terminal device, institute
State program code for make the terminal device execute this specification foregoing description according to the various exemplary embodiment party of the application
The step of formula.
The program product for realizing the above method of presently filed embodiment, can be using portable compact disc only
It reads memory (CD-ROM) and including program code, and can be run on terminal device, such as PC.However, this Shen
Program product please is without being limited thereto, and in this document, readable storage medium storing program for executing can be any tangible Jie for including or store program
Matter, the program can be commanded execution system, device or device use or in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with any combination of one or more programming languages come write for execute the application operation program
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, above-mentioned attached drawing is only the schematic theory of the processing according to included by the method for the application exemplary embodiment
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
It should be noted that although being referred to several modules or list for acting the equipment executed in the above detailed description
Member, but this division is not enforceable.In fact, according to embodiment of the present disclosure, it is above-described two or more
Module or the feature and function of unit can embody in a module or unit.Conversely, an above-described mould
The feature and function of block or unit can be to be embodied by multiple modules or unit with further division.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
His embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Adaptive change follow the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure or
Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim
It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.
Claims (10)
1. a kind of electric examination system, which is characterized in that including examination question memory module, identity validation module, wrong topic analysis mould
Block, examination point obtain module, examination question abstraction module, close rule detection module, wherein
The identity validation module receives and verifies the identity information of examinee；
The wrong topic analysis module obtains fallibility examination point corresponding with the identity information according to the biological information；
The examination point obtains module and obtains default examination point corresponding with the paper according to the identity information；
The examination question abstraction module presses similarity to the default examination point according to the fallibility examination point, using unsupervised learning algorithm
It is clustered into different groupings, and is directed to the different grouping, corresponding examination question is extracted from test item bank and generates paper；
The Degree of difficulty of test paper for closing rule detection module and counting same group of other different examinees, and it is flat for the deviation of wherein Degree of difficulty of test paper
Equal Degree of difficulty of test paper is greater than the paper of preset value, extracts examination question again and generates paper.
2. system according to claim 1, which is characterized in that history test situation is determined according to the identity information, and
Fallibility examination point corresponding with the identity information is obtained according to history test situation.
3. system according to claim 1, which is characterized in that the default examination point is the current test for the examinee
Preset examination point.
4. system according to claim 1, which is characterized in that for the different grouping, the extraction pair from test item bank
The examination question answered generates paper, comprising:
Corresponding examination question is extracted from test item bank and generates paper in conjunction with the fallibility examination point for the different grouping.
5. system according to claim 4, which is characterized in that the grouping includes the first grouping and second packet, described
Fallibility examination point includes the first examination point and the second examination point, wherein first grouping includes first examination point, the second packet
Include second examination point；
For the different grouping, corresponding examination question is extracted from test item bank and generates paper, comprising:
At least one examination question from extraction in test item bank comprising the examination point in first grouping, and extracted from test item bank and include
At least one examination question of examination point in the second packet generates paper.
6. system according to claim 4, which is characterized in that comprising more in first grouping and the second packet
A examination point.
7. system according to claim 1, which is characterized in that the identity information is the student number or identity card of the examinee
Number.
8. system according to claim 1, which is characterized in that verify the identity information of the examinee by recognition of face.
9. system according to claim 1, which is characterized in that be stored with the corresponding difficulty of the examination question in the test item bank
Coefficient determines the difficulty of paper according to the difficulty system of each examination question.
10. system according to claim 9, which is characterized in that update it in institute according to the accuracy of examination question dynamic
State the degree-of-difficulty factor in test item bank.
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| CN201810946913.0A CN109147446A (en) | 2018-08-20 | 2018-08-20 | Electric examination system |
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| CN201810946913.0A CN109147446A (en) | 2018-08-20 | 2018-08-20 | Electric examination system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428681A (en) * | 2019-08-02 | 2019-11-08 | 运城学院 | A kind of distance assisted instruction system and method based on big data |
| CN112669181A (en) * | 2020-12-29 | 2021-04-16 | 吉林工商学院 | Assessment method for education practice training |
| WO2022170985A1 (en) * | 2021-02-09 | 2022-08-18 | 广州视源电子科技股份有限公司 | Exercise selection method and apparatus, and computer device and storage medium |
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