CN109388709A - Automatic Creating Test Paper method, electronic equipment and storage medium - Google Patents
Automatic Creating Test Paper method, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN109388709A CN109388709A CN201810946896.0A CN201810946896A CN109388709A CN 109388709 A CN109388709 A CN 109388709A CN 201810946896 A CN201810946896 A CN 201810946896A CN 109388709 A CN109388709 A CN 109388709A
- Authority
- CN
- China
- Prior art keywords
- examination
- examination point
- identity information
- grouping
- fallibility
- 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
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
This application discloses a kind of Automatic Creating Test Paper method, electronic equipment and storage mediums.This method includes the identity information for receiving and verifying examinee;Fallibility examination point corresponding with the identity information is obtained according to the identity information;Default examination point corresponding with the paper is obtained according to the identity information;According to the fallibility examination point, different groupings is clustered by similarity to the default examination point using unsupervised learning algorithm;For the different grouping, corresponding examination question is extracted from test item bank and generates paper.At least to be partially solved the problem that complexity in Automatic Creating Test Paper is high, examination personalization is insufficient, examination point is more unilateral.
Description
Technical field
This application involves artificial intelligence fields, in particular to a kind of Automatic Creating Test Paper method, electronic equipment and deposit
Storage media.
Background technique
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 Item Bank in Auto-generating Paper Based implementation method using improved adaptive GA-IAGA,
But may there are still following deficiencies: complexity be high, examination personalization is insufficient, examination point is more unilateral.
Summary of the invention
This application provides a kind of Automatic Creating Test Paper method, electronic equipment and storage mediums, at least to be partially solved
The problem that complexity is high in Automatic Creating Test Paper, examination personalization is insufficient, examination point is more unilateral.
A kind of Automatic Creating Test Paper method, the method comprises the following steps:
Receive and verify the identity information of examinee;
Fallibility examination point corresponding with the identity information is obtained according to the identity information;
Default examination point corresponding with the paper is obtained according to the identity information;
According to the fallibility examination point, the default examination point is clustered by similarity using unsupervised learning algorithm different
Grouping;
For the different grouping, corresponding examination question is extracted from test item bank and generates paper.
In an alternate embodiment of the invention, history test situation is determined according to the identity information, and according to history test situation
Obtain fallibility examination point corresponding with the identity information.
In an alternate embodiment of the invention, the default examination point is the preset examination point of current test for the examinee.
In an alternate embodiment of the invention, for the different grouping, corresponding examination question is extracted from test item bank and generates paper,
Include:
Corresponding examination question is extracted from test item bank and generates paper in conjunction with the fallibility examination point for the different grouping.
In an alternate embodiment of the invention, the grouping includes the first grouping and second packet, and the fallibility examination point includes first
Examination point and the second examination point, wherein first grouping includes first examination point, and the second packet is examined comprising described second
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
At least one examination question comprising the examination point in the second packet generates paper.
It in an alternate embodiment of the invention, include multiple examination points in first grouping and the second packet.
In an alternate embodiment of the invention, the identity information is the student number or identification card number of the examinee.
In an alternate embodiment of the invention, the identity information of the examinee is verified by recognition of face.
Present invention also provides a kind of electronic equipment, comprising: processor;And memory, for storage processor can
It executes instruction;Wherein, processor is configured to execute the information processing method of any of the above item via executable instruction is executed.
Present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, computer program
The information processing method of any of the above item is realized when being executed by processor.
By using the Automatic Creating Test Paper method of the application, can at least be partially solved in Automatic Creating Test Paper complicated
The problem that degree is high, examination personalization is insufficient, examination point is more unilateral.
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 method step flow diagram according to the application wherein embodiment;
Fig. 2 be according to the application wherein an embodiment fallibility point cluster schematic diagram.
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 Automatic Creating Test Paper method is provided, it should be noted that in attached drawing
Process the step of illustrating can execute in a computer system such as a set of computer executable instructions, although also,
Logical order is shown in flow charts, but in some cases, can be executed with the sequence for being different from herein it is shown or
The step of description.
According to the Automatic Creating Test Paper method of the application wherein embodiment, as shown in Figure 1, this method may include as follows
Step:
In step s 110, receive and verify the identity information of examinee;
In step s 130, fallibility examination point corresponding with the identity information is obtained according to the identity information;
In step S150, default examination point corresponding with the paper is obtained according to the identity information;
In step S170, according to the fallibility examination point, using unsupervised learning algorithm to the default examination point by similar
Degree is clustered into different groupings;
In step S190, for the different grouping, corresponding examination question is extracted from test item bank and generates paper.
By the Automatic Creating Test Paper method in the present exemplary embodiment, the identity information of examinee is received and verified;According to
The identity information obtains fallibility examination point corresponding with the identity information;It is obtained according to the identity information corresponding with the paper
Default examination point;According to the fallibility examination point, the default examination point is clustered into not by similarity using unsupervised learning algorithm
Same grouping;For the different grouping, corresponding examination question is extracted from test item bank and generates paper.Provide a kind of new examination
Automatic generation method is rolled up, complexity in Automatic Creating Test Paper is high, examination personalization is insufficient, examination point at least to be partially solved
More unilateral problem.
In the following, will be further described to information processing method in the present exemplary embodiment.
In step s 110, receive and verify 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.
In step s 130, fallibility examination point corresponding with the identity information is obtained according to the identity 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.
In step S150, default examination point corresponding with the paper is obtained according to the identity information.
The default examination point is the preset some examination points of current test for the examinee.
It should be noted that the execution sequence of step S130 and S150 can exchange, the protection model of the application will not influence
It encloses and effect.
In step S170, according to the fallibility examination point, using unsupervised learning algorithm to the default examination point by similar
Degree is clustered into different groupings.
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.
In step S190, for the different grouping, corresponding examination question is extracted from test item bank and generates paper.
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.
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 Automatic Creating Test Paper method, which is characterized in that the method comprises the following steps:
Receive and verify the identity information of examinee;
Fallibility examination point corresponding with the identity information is obtained according to the identity information;
Default examination point corresponding with the paper is obtained according to the identity information;
According to the fallibility examination point, different points is clustered by similarity to the default examination point using unsupervised learning algorithm
Group;
For the different grouping, corresponding examination question is extracted from test item bank and generates paper.
2. the method according to claim 1, wherein determine history test situation according to the identity information, and
Fallibility examination point corresponding with the identity information is obtained according to history test situation.
3. the method according to claim 1, wherein the default examination point is the current test for the examinee
Preset examination point.
4. the method according to claim 1, wherein be directed to the different grouping, from test item bank extract pair
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. according to the method described in claim 4, it is characterized in that, it is described grouping comprising first grouping and second packet, it is 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. according to the method described in claim 4, it is characterized in that, comprising more in first grouping and the second packet
A examination point.
7. the method according to claim 1, wherein the identity information is the student number or identity card of the examinee
Number.
8. the method according to claim 1, wherein verifying the identity information of the examinee by recognition of face.
9. a kind of electronic equipment characterized by comprising
Processor;And
Memory, for storing the executable instruction of the processor;
Wherein, the processor is configured to require 1-8 described in any item via executing the executable instruction and carry out perform claim
Information processing method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
Claim 1-8 described in any item information processing methods are realized when being executed by processor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810946896.0A CN109388709A (en) | 2018-08-20 | 2018-08-20 | Automatic Creating Test Paper method, electronic equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810946896.0A CN109388709A (en) | 2018-08-20 | 2018-08-20 | Automatic Creating Test Paper method, electronic equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109388709A true CN109388709A (en) | 2019-02-26 |
Family
ID=65417673
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810946896.0A Pending CN109388709A (en) | 2018-08-20 | 2018-08-20 | Automatic Creating Test Paper method, electronic equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109388709A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110347791A (en) * | 2019-06-20 | 2019-10-18 | 广东工业大学 | A kind of topic recommended method based on multi-tag classification convolutional neural networks |
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 |
CN112287659A (en) * | 2019-07-15 | 2021-01-29 | 北京字节跳动网络技术有限公司 | Information generation method and device, electronic equipment and storage medium |
CN112669181A (en) * | 2020-12-29 | 2021-04-16 | 吉林工商学院 | Assessment method for education practice training |
CN113408880A (en) * | 2021-06-08 | 2021-09-17 | 北京捷通华声科技股份有限公司 | Test paper generation method and device and intelligent examination system |
CN117151070A (en) * | 2023-10-31 | 2023-12-01 | 联城科技(河北)股份有限公司 | Test paper question-setting method, device, equipment and computer readable storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102663659A (en) * | 2012-03-27 | 2012-09-12 | 上海爱友科技有限公司 | Education system based on academic achievement development index |
CN103136453A (en) * | 2013-03-25 | 2013-06-05 | 华北电力大学(保定) | Automatic test paper formation method and automatic scoring method of document manipulation subjects |
CN104820707A (en) * | 2015-05-14 | 2015-08-05 | 西安交通大学 | Automatic test paper composition method in B/S (Brower/Server) mode based on knowledge hierarchy in field of computers |
CN106897767A (en) * | 2017-03-03 | 2017-06-27 | 盐城工学院 | Automatic volume group method and device |
CN107564357A (en) * | 2017-10-26 | 2018-01-09 | 北京星空百灵科技有限公司 | Teen-age robot industrial grade examination system and the method for examination |
-
2018
- 2018-08-20 CN CN201810946896.0A patent/CN109388709A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102663659A (en) * | 2012-03-27 | 2012-09-12 | 上海爱友科技有限公司 | Education system based on academic achievement development index |
CN103136453A (en) * | 2013-03-25 | 2013-06-05 | 华北电力大学(保定) | Automatic test paper formation method and automatic scoring method of document manipulation subjects |
CN104820707A (en) * | 2015-05-14 | 2015-08-05 | 西安交通大学 | Automatic test paper composition method in B/S (Brower/Server) mode based on knowledge hierarchy in field of computers |
CN106897767A (en) * | 2017-03-03 | 2017-06-27 | 盐城工学院 | Automatic volume group method and device |
CN107564357A (en) * | 2017-10-26 | 2018-01-09 | 北京星空百灵科技有限公司 | Teen-age robot industrial grade examination system and the method for examination |
Non-Patent Citations (2)
Title |
---|
潘婷婷 等: "基于知识点与错误率关联的个性化智能组卷模型", 《计算机系统应用》 * |
范玉玲 等: "基于时空聚类分析的自动组卷模型研究", 《计算机与现代化》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110347791A (en) * | 2019-06-20 | 2019-10-18 | 广东工业大学 | A kind of topic recommended method based on multi-tag classification convolutional neural networks |
CN112287659A (en) * | 2019-07-15 | 2021-01-29 | 北京字节跳动网络技术有限公司 | Information generation method and device, electronic equipment and storage medium |
CN112287659B (en) * | 2019-07-15 | 2024-03-19 | 北京字节跳动网络技术有限公司 | Information generation method and device, electronic equipment and storage medium |
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 |
CN110428681B (en) * | 2019-08-02 | 2021-12-07 | 运城学院 | Remote auxiliary teaching 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 |
CN112669181B (en) * | 2020-12-29 | 2023-06-30 | 吉林工商学院 | Assessment method for education practice training |
CN113408880A (en) * | 2021-06-08 | 2021-09-17 | 北京捷通华声科技股份有限公司 | Test paper generation method and device and intelligent examination system |
CN117151070A (en) * | 2023-10-31 | 2023-12-01 | 联城科技(河北)股份有限公司 | Test paper question-setting method, device, equipment and computer readable storage medium |
CN117151070B (en) * | 2023-10-31 | 2024-01-23 | 联城科技(河北)股份有限公司 | Test paper question-setting method, device, equipment and computer readable storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109388709A (en) | Automatic Creating Test Paper method, electronic equipment and storage medium | |
Young et al. | Augmenting end-to-end dialogue systems with commonsense knowledge | |
EP3564950A1 (en) | Method and apparatus for voiceprint creation and registration | |
CN109241418A (en) | Abnormal user recognition methods and device, equipment, medium based on random forest | |
CN107992596A (en) | A kind of Text Clustering Method, device, server and storage medium | |
CN111159380A (en) | Interaction method and device, computer equipment and storage medium | |
CN105940394B (en) | Interactive server and method for control server | |
CN109147446A (en) | Electric examination system | |
CN104915399A (en) | Recommended data processing method based on news headline and recommended data processing method system based on news headline | |
CN110334268A (en) | A kind of block chain project hot word generation method and device | |
CN105740808A (en) | Human face identification method and device | |
CN109670559A (en) | Recognition methods, device, equipment and the storage medium of handwritten Chinese character | |
CN110991433B (en) | Face recognition method, device, equipment and storage medium | |
CN109325178A (en) | Method and apparatus for handling information | |
CN113869398B (en) | Unbalanced text classification method, device, equipment and storage medium | |
CN117114063A (en) | Method for training a generative large language model and for processing image tasks | |
CN110162769B (en) | Text theme output method and device, storage medium and electronic device | |
CN109684198A (en) | Data capture method to be tested, device, medium, electronic equipment | |
CN117688946A (en) | Intent recognition method and device based on large model, electronic equipment and storage medium | |
CN110866094A (en) | Instruction recognition method, instruction recognition device, storage medium, and electronic device | |
Kaliyar et al. | SMS spam filtering on multiple background datasets using machine learning techniques: A novel approach | |
CN114841471B (en) | Knowledge point prediction method and device, electronic equipment and storage medium | |
CN115660001A (en) | Near field communication card confirmation method and device, storage medium and electronic equipment | |
CN113886543A (en) | Method, apparatus, medium, and program product for generating an intent recognition model | |
CN114444514A (en) | Semantic matching model training method, semantic matching method and related device |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190226 |