CN109003492B - Topic selection device and terminal equipment - Google Patents
Topic selection device and terminal equipment Download PDFInfo
- Publication number
- CN109003492B CN109003492B CN201810826293.7A CN201810826293A CN109003492B CN 109003492 B CN109003492 B CN 109003492B CN 201810826293 A CN201810826293 A CN 201810826293A CN 109003492 B CN109003492 B CN 109003492B
- Authority
- CN
- China
- Prior art keywords
- question
- questions
- examination paper
- subjective
- knowledge
- 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.)
- Active
Links
Images
Classifications
-
- 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)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a question selection method, which comprises the following steps of obtaining self-learning evaluation data of a person to be examined; the self-learning evaluation data comprises historical answer accuracy of objective questions; extracting objective questions with the historical answer accuracy of the objective questions being larger than a preset threshold value in the self-learning evaluation data as first questions; generating a first examination paper, wherein the first examination paper comprises a first subjective question generated according to the first question, so that the person to be examined performs examination according to the first subjective question; wherein the first subject matter has similar or the same knowledge attributes as the first topic. So as to sequentially guide the people to be assessed to master the knowledge points.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a question selection device and terminal equipment.
Background
At present, theoretical knowledge assessment is an important reference index for talent screening in both academic and working fields; the theoretical knowledge assessment means that the personnel to be assessed can quickly adapt to and understand the field knowledge of the working and learning, and the talent culture is accelerated;
however, in the field with more theoretical knowledge, it is very easy to make the examinee have no pertinence to make the entrance difficult or the examination handling with complete mechanicalness can not achieve good knowledge grasping effect, and needs to be improved.
Disclosure of Invention
The embodiment of the invention provides a topic selection method, a topic selection device and terminal equipment.
As a first aspect of embodiments of the present invention, embodiments of the present invention provide a title selection method, including the steps of,
acquiring self-learning evaluation data of a person to be checked; the self-learning evaluation data comprises historical answer accuracy of objective questions;
extracting objective questions with the historical answer accuracy of the objective questions being larger than a preset threshold value in the self-learning evaluation data as first questions;
generating a first examination paper, wherein the first examination paper comprises a first subjective question generated according to the first question, so that the person to be examined performs examination according to the first subjective question; wherein the first subject matter has similar or the same knowledge attributes as the first topic.
As a further improvement, the method further comprises the following steps:
obtaining a first examination paper after the examination by the person to be examined;
and judging whether the first subjective question after being answered is qualified, and if so, judging that the knowledge type corresponding to the first subjective question is mastered and generating recording data.
As a further improvement, a second examination paper is generated according to the evaluation result of the first examination paper after answering, wherein the second examination paper comprises subjective questions and objective questions; the objective questions in the second examination paper do not comprise the knowledge attributes similar to the first questions.
As a further improvement, the preset threshold is in a range of 90% -100%.
As a further improvement, the first examination paper comprises the number of subjective questions and the number of objective questions;
acquiring the accuracy ranking of the first question according to the preset threshold; and taking the number of the subjective questions as a screening condition, judging whether the accuracy ranking of the first question meets the screening condition, and if so, generating the subjective questions according to the first question of the screening condition.
As a further improvement, the recorded data of the first examination paper is annotated to the first examination paper.
As a further improvement, the step of generating the first examination paper comprises the following steps,
the self-learning evaluation data of the personnel to be evaluated is the result of evaluation of the personnel to be evaluated based on questions in the question bank,
the questions in the question bank comprise knowledge attribute information;
and randomly extracting a subjective question matched with the knowledge attribute of the first question from the question bank according to the knowledge attribute of the first question as a first subjective question.
Correspondingly, the embodiment of the invention also provides a question selection device, which comprises an acquisition module, an extraction module, an examination paper generation module, a first judgment module and an annotation module;
acquiring self-learning evaluation data of a person to be checked; the self-learning evaluation data comprises historical answer accuracy of objective questions;
the extraction module is used for extracting objective questions with the accuracy rate larger than a preset threshold value in the historical answer accuracy rate as first questions;
the examination paper generation module is used for generating a first examination paper, wherein the first examination paper comprises a first subjective question generated according to the first question, so that the person to be examined is examined according to the subjective question; wherein the first subject matter has similar or the same knowledge attributes as the first topic.
In addition, an embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements the title selection method when executing the computer program.
Compared with the prior art, the invention has the advantages that,
the inventor finds out through research that the response mode of the person to be examined to the objective question type is divided into two modes. One is an analytical understanding type answer by detailed grasping of theoretical knowledge, and the other is a memory type answer by remembering the contents of the answer. Compared with the former answering mode, the latter answering mode can obtain high scores, but the understanding of theoretical knowledge is still not profound, and only the examination is dealt with, thus causing confusing misleading and blocking to the screening of personnel. Therefore, the inventor screens objective questions with outstanding historical answer accuracy of the person to be assessed in a targeted manner as first questions; acquiring knowledge attributes corresponding to a first question, randomly screening subjective questions corresponding to the knowledge attributes in a question bank as subjective question questions of a first examination paper, and examining objective question parts of the knowledge attributes (knowledge points) corresponding to the first question, which are not in the first examination paper, so as to purposefully eliminate the situation that high scores are obtained in a memory mode; moreover, through the steps, the method can help the person to be examined who answers in an analysis and understanding mode to check the mastering condition of the knowledge point, the score displayed by the first examination paper is closer to the real level of the person to be examined, and the talent can be conveniently and objectively examined.
The foregoing summary is provided for the purpose of description only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present invention will be readily apparent by reference to the drawings and following detailed description.
Drawings
In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
FIG. 1 is a schematic overall flow chart of a first embodiment of the present invention;
FIG. 2 is a schematic diagram showing a modification of step S60' in the second embodiment of the present invention;
FIG. 3 is a schematic diagram of an overall module of a topic selection device in a third embodiment of the present invention;
FIG. 4 is a schematic diagram of an overall module of an apparatus including a detailed constitution of an examination paper generation module according to a third embodiment of the present invention.
Detailed Description
In the following, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1, an embodiment of the present invention provides a title selection method, including the following steps, wherein the execution subjects of the following steps S10 to S70 in this embodiment all use servers;
s10, acquiring self-learning evaluation data of the personnel to be examined; the self-learning evaluation data comprises the historical answer accuracy of the objective questions;
the self-study evaluation data is derived from the historical answer condition of the person to be examined in the question bank, the self-study evaluation data of different persons to be examined are different, and for example, the question bank is assumed to be a, the self-study evaluation data of the person to be examined B is assumed to be B1, and the self-study evaluation data of the person to be examined C in the question bank is assumed to be C1.
S20, extracting objective questions with the historical answer accuracy rate of the objective questions being larger than a preset threshold value from the self-learning evaluation data as first questions;
s30, generating a first examination paper, wherein the first examination paper comprises a first subjective question generated according to a first question, so that the person to be examined is examined according to the first subjective question; wherein the first main topic has a knowledge attribute similar to or the same as the first topic.
Specifically, the generation of the first examination paper comprises the following steps,
s31, the self-study assessment data of the person to be examined is the result of the assessment of the person to be examined based on the questions in the question bank,
s32, the questions in the question bank comprise knowledge attribute information;
s33, randomly extracting a subjective question matched with the knowledge attribute of the first question from the question bank according to the knowledge attribute of the first question as a first subjective question.
The inventor finds out through research that the response mode of the person to be examined to the objective question type is divided into two modes. One is an analytical understanding type answer by detailed grasping of theoretical knowledge, and the other is a memory type answer by remembering the contents of the answer. Compared with the former answering mode, the latter answering mode can obtain high scores, but the understanding of theoretical knowledge is still not profound, and only the examination is dealt with, thus causing confusing misleading and blocking to the screening of personnel. Therefore, the inventor screens objective questions with outstanding historical answer accuracy of the person to be examined as first questions in a targeted manner through steps S20-S30; acquiring knowledge attributes corresponding to a first question, randomly screening subjective questions corresponding to the knowledge attributes in a question bank as subjective question questions of a first examination paper, and examining objective question parts of the knowledge attributes (knowledge points) corresponding to the first question, which are not in the first examination paper, so as to purposefully eliminate the situation that high scores are obtained in a memory mode; moreover, through the steps, the method can help the person to be examined who answers in an analysis and understanding mode to check the mastering condition of the knowledge point, the score displayed by the first examination paper is closer to the real level of the person to be examined, and the talent can be conveniently and objectively examined.
In step S20, a preset threshold range is further introduced, where the preset range is 90% to 100%, and the higher the accuracy rate is, the better the mastery degree of the to-be-examined person on the knowledge point corresponding to the question is, which is only embodied in the self-learning evaluation data, and it is impossible for the assessment unit to reflect the actual mastery condition of the to-be-examined person on the knowledge point corresponding to the question with the high accuracy rate. The evaluation effect on the knowledge point mastering condition cannot be achieved for the person to be examined.
In order to make the method provided by the embodiment more consistent with the characteristic that the examinee is more skilled in knowledge point mastering, the inventor improves the generation method of the examination paper after the first examination paper, and aims to meet the characteristic. Specifically, please refer to S40-S60.
S40, acquiring a first examination paper after the examination of the person to be examined;
and S50, judging whether the first subjective question after answering is qualified, and if so, judging that the knowledge type corresponding to the first subjective question is mastered and generating recorded data.
The step of judging whether the first subjective question is qualified or not may be manual examination and approval by a teacher for examination, or examination and approval by a computer in a mechanical deep learning mode based on big data in the prior art.
S60, generating a second examination paper according to the evaluation result of the first examination paper after answering, wherein the second examination paper comprises subjective questions and objective questions; the objective questions in the second examination paper do not include knowledge attributes similar to the first questions.
Through the steps S40-S60, the trainees to be examined can eliminate the mastered knowledge points and focus on learning the mastered knowledge points, so that the learning process of the trainees to be examined is accelerated, and the trainees to be examined have more direction for review.
In the above steps, since the knowledge points already mastered do not appear in the examination paper in the future, the present embodiment presents the examination person in the manner as described in S70,
and S70, annotating the recorded data of the first examination paper to the first examination paper.
The annotating mode is intuitive and can be a mode of 'XX knowledge points are mastered by you'; by the method, each progress of the nuclear to be examined can be displayed, so that the information of the nuclear to be examined can be enhanced conveniently, and meanwhile, assessment personnel can know the progress of the nuclear to be examined conveniently.
Referring to fig. 2, in a second embodiment of the present invention, based on the first embodiment, S60' is preferably, specifically,
s60', the first examination paper comprises the number of subjective questions and the number of objective questions;
acquiring the accuracy ranking of the first question according to a preset threshold; and taking the number of the subjective questions as a screening condition, judging whether the accuracy ranking of the first questions meets the screening condition, and if so, generating the subjective questions according to the first questions of the screening condition.
In the generation of the first examination paper, the number of subjective questions of the first examination paper has a certain upper limit, but the number of knowledge attributes corresponding to the first question exceeding a preset threshold may exceed the upper limit of the number of subjective questions of the first examination paper, so that the inventor selects the knowledge attributes corresponding to the first question according to the ranking sequence of the self-learning evaluation data corresponding to the knowledge attributes with high and low accuracy, and the server can conveniently generate the first examination paper.
And if the quantity of the knowledge attributes corresponding to the first question exceeding the preset threshold is less than the upper limit of the quantity of the subjective questions of the first examination paper, randomly selecting the subjective questions corresponding to the knowledge attributes in the question bank according to a certain question setting proportion according to the accuracy.
Referring to fig. 3 to 4, a third embodiment of the present invention further provides a topic selection device, which includes an obtaining module 10, an extracting module 20, an examination paper generating module 30, a first determining module 40, and an annotating module 50;
acquiring self-learning evaluation data of a person to be checked; the self-learning evaluation data comprises the historical answer accuracy of the objective questions;
the extraction module 20 is used for extracting the objective questions with the historical answer accuracy of the objective questions being greater than a preset threshold value in the self-learning evaluation data as first questions;
the examination paper generating module 30 is configured to generate a first examination paper, where the first examination paper includes a first subjective question generated according to a first question, so that a person to be examined performs examination according to the subjective question; wherein the first main topic has a knowledge attribute similar to or the same as the first topic.
The examination paper generating module 30 specifically comprises a knowledge attribute obtaining module 11 and a question extracting module 12;
the knowledge attribute acquisition module 11 is used for acquiring knowledge attributes in the question bank;
the question extracting module 12 is configured to randomly extract a subjective question matched with the knowledge attribute of the first question from the question library according to the knowledge attribute of the first question as the first subjective question.
The examination paper generation module 30 further comprises a judgment submodule 13, and the judgment submodule 13 is used for acquiring the accuracy ranking of the first question according to a preset threshold; and taking the number of the subjective questions as a screening condition, judging whether the accuracy ranking of the first questions meets the screening condition, and if so, generating the subjective questions according to the first questions of the screening condition.
The acquisition module 10 is further configured to acquire a first examination paper after being answered by the person to be examined;
the first judging module 40 is configured to judge whether the first subjective question after being answered is qualified, and if so, judge that the knowledge type corresponding to the first subjective question is already mastered and generate the record data.
The examination paper generating module 30 is further configured to generate a second examination paper according to the evaluation result of the first examination paper after answering, wherein the second examination paper includes subjective questions and objective questions; the objective questions in the second examination paper do not include knowledge attributes similar to the first questions.
The annotating module 50 is used for annotating the recorded data of the first examination paper to the first examination paper.
In a fourth embodiment of the present invention, a terminal device for topic selection is provided, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor.
Illustratively, the computer program may be partitioned into one or more modules that are stored in the memory and executed by the processor to implement the invention. The one or more modules can be a series of instruction segments of the computer program capable of completing specific functions, and the instruction segments are used for describing the execution process of the computer program in the terminal equipment of the title selection.
The terminal device may include, but is not limited to, a processor, a memory, and a display. Those skilled in the art will appreciate that the schematic diagram is merely an example of the topic selection terminal device, and does not constitute a limitation on the topic selection terminal device, and may include more or less components than those shown, or combine some components, or different components, for example, the topic selection terminal device may further include an input-output device, a network access device, a bus, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor is a control center of the title-selected terminal device, and various interfaces and lines are used to connect various parts of the whole title-selected terminal device.
The memory can be used for storing the computer program and/or the module, and the processor can be used for calling various functions of the terminal equipment selected by the data and the theme stored in the memory by running or executing the computer program and/or the module stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, a text conversion function, etc.), and the like; the storage data area may store data (such as audio data, text message data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the module of the terminal device for topic selection can be stored in a computer readable storage medium if the module is implemented in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various changes or substitutions within the technical scope of the present invention, and these should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (5)
1. A title selection device is characterized by comprising an acquisition module, an extraction module, an examination paper generation module, a first judgment module and an annotation module;
the acquisition module is used for acquiring self-learning evaluation data of the personnel to be checked; the self-learning evaluation data comprises historical answer accuracy of objective questions;
the extraction module is used for extracting objective questions with the historical answer accuracy of the objective questions being larger than a preset threshold value in the self-learning evaluation data as first questions;
the examination paper generation module is used for generating a first examination paper, wherein the first examination paper comprises a first subjective question generated according to the first question, so that the person to be examined is examined according to the subjective question; wherein the first subjective question has similar or the same knowledge attributes as the first question;
wherein the range of the preset threshold is 90-100%;
the first judging module is used for judging whether the first subjective question after being answered is qualified or not, and if the first subjective question after being answered is qualified, judging that the knowledge type corresponding to the first subjective question is mastered and generating recording data;
the annotation module is used for annotating the recorded data of the first examination paper to the first examination paper.
2. The selection device according to claim 1, wherein the examination paper generation module is further configured to generate a second examination paper according to the evaluation result of the first examination paper after answering, wherein the second examination paper comprises subjective questions and objective questions; the objective questions in the second examination paper do not comprise the knowledge attributes similar to the first questions.
3. The selection device of claim 1, wherein the first assessment paper comprises a number of subjective questions and a number of objective questions; acquiring the accuracy ranking of the first question according to the preset threshold; and taking the number of the subjective questions as a screening condition, judging whether the accuracy ranking of the first question meets the screening condition, and if so, generating the subjective questions according to the first question of the screening condition.
4. Selection device according to claim 1, characterized in that said "generating a first examination paper" comprises the following steps,
the self-learning evaluation data of the personnel to be evaluated is the result of evaluation of the personnel to be evaluated based on questions in the question bank,
the questions in the question bank comprise knowledge attribute information;
and randomly extracting a subjective question matched with the knowledge attribute of the first question from the question bank according to the knowledge attribute of the first question as a first subjective question.
5. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the computer program being divisible into one or more modules, the one or more modules being stored in the memory and being executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810826293.7A CN109003492B (en) | 2018-07-25 | 2018-07-25 | Topic selection device and terminal equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810826293.7A CN109003492B (en) | 2018-07-25 | 2018-07-25 | Topic selection device and terminal equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109003492A CN109003492A (en) | 2018-12-14 |
| CN109003492B true CN109003492B (en) | 2021-01-05 |
Family
ID=64597768
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810826293.7A Active CN109003492B (en) | 2018-07-25 | 2018-07-25 | Topic selection device and terminal equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109003492B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111782815A (en) * | 2019-04-04 | 2020-10-16 | 北京三好互动教育科技有限公司 | Knowledge evaluation method and device, storage medium and electronic equipment |
| CN113656536B (en) * | 2021-10-19 | 2022-02-08 | 深圳市菁优智慧教育股份有限公司 | Method and system for automatically and parallelly grouping rolls based on machine learning |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1641624A (en) * | 2004-01-14 | 2005-07-20 | 英业达股份有限公司 | History electronic test paper generating method and system |
| CN101458876A (en) * | 2008-12-05 | 2009-06-17 | 厦门大学 | Wireless communication transceiving module for communication principle experiment teaching system |
| CN105989555A (en) * | 2015-03-05 | 2016-10-05 | 上海汉声信息技术有限公司 | Language competence test method and system |
| CN106971637A (en) * | 2017-05-23 | 2017-07-21 | 河南城建学院 | A kind of foreign language entertaining learning machine and its method |
| JP6276836B1 (en) * | 2016-12-22 | 2018-02-07 | 株式会社みんコレ | Information processing apparatus, information processing method and system |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100273138A1 (en) * | 2009-04-28 | 2010-10-28 | Philip Glenny Edmonds | Apparatus and method for automatic generation of personalized learning and diagnostic exercises |
| US20130236863A1 (en) * | 2012-03-06 | 2013-09-12 | Amir Kiai | System and method for providing telephony based mathematic testing |
| CN105632268A (en) * | 2014-10-28 | 2016-06-01 | 骅钜数位科技有限公司 | Random question choosing system |
| CN106157720A (en) * | 2015-04-09 | 2016-11-23 | 中兴通讯股份有限公司 | A kind of method and apparatus obtaining exam information |
| US20160321938A1 (en) * | 2015-04-29 | 2016-11-03 | International Business Machines Corporation | Utilizing test-suite minimization for examination creation |
| CN105118348B (en) * | 2015-08-20 | 2017-10-03 | 浙江通关教育科技有限公司 | The subject Topic Selection of knowledge based point system |
| CN105469145B (en) * | 2016-01-15 | 2018-12-11 | 清华大学 | A kind of intelligent Auto-generating Test Paper method based on Genetic Particle Swarm Algorithm |
| KR102004180B1 (en) * | 2016-12-22 | 2019-10-01 | 김학현 | Apparatus and method for extracting similar test problem using recognition of test paper |
| CN106780212A (en) * | 2016-12-23 | 2017-05-31 | 上海云丞聚智能科技有限公司 | Online testing method, device and examination system |
| CN107483397A (en) * | 2017-06-19 | 2017-12-15 | 上海高顿教育培训有限公司 | A kind of examinee's self-test assessment method based on B/S framework |
| CN107622709A (en) * | 2017-09-18 | 2018-01-23 | 哈尔滨成长科技有限公司 | Knowledge point Grasping level evaluation method, medium and electronic equipment |
| CN107563924A (en) * | 2017-09-18 | 2018-01-09 | 哈尔滨成长科技有限公司 | Test paper generation method, medium and electronic equipment |
| CN107622463A (en) * | 2017-09-27 | 2018-01-23 | 张鹏 | One kind makes the test and automatic marking papers system and method |
-
2018
- 2018-07-25 CN CN201810826293.7A patent/CN109003492B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1641624A (en) * | 2004-01-14 | 2005-07-20 | 英业达股份有限公司 | History electronic test paper generating method and system |
| CN101458876A (en) * | 2008-12-05 | 2009-06-17 | 厦门大学 | Wireless communication transceiving module for communication principle experiment teaching system |
| CN105989555A (en) * | 2015-03-05 | 2016-10-05 | 上海汉声信息技术有限公司 | Language competence test method and system |
| JP6276836B1 (en) * | 2016-12-22 | 2018-02-07 | 株式会社みんコレ | Information processing apparatus, information processing method and system |
| CN106971637A (en) * | 2017-05-23 | 2017-07-21 | 河南城建学院 | A kind of foreign language entertaining learning machine and its method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109003492A (en) | 2018-12-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Harrison et al. | Case study research: Foundations and methodological orientations | |
| Sheu et al. | Testing the choice model of social cognitive career theory across Holland themes: A meta-analytic path analysis | |
| Snell | Interrogating video data: Systematic quantitative analysis versus micro‐ethnographic analysis | |
| CN110909035B (en) | Method and device for generating personalized complex problem set, electronic equipment and storage medium | |
| CN109659009B (en) | Emotion management method and device and electronic equipment | |
| CN109003492B (en) | Topic selection device and terminal equipment | |
| Kudrna et al. | Considering the role of “need for cognition” in students’ acceptance of climate change & evolution | |
| CN112199598A (en) | Recommendation method and device for network courses and computer equipment | |
| CN115358897A (en) | Student management method, system, terminal and storage medium based on electronic student identity card | |
| US9547995B1 (en) | Dynamic instructional course | |
| CN112559692B (en) | Question extraction method and device, electronic equipment and storage medium | |
| Kasper | Conducting interviews | |
| CN105513450B (en) | A kind of method and apparatus of voice test and appraisal user's character learning amount | |
| CN205814303U (en) | A kind of Chinese standard aphasia evaluation system | |
| Zhang et al. | Mechanisms of cross-situational learning: Behavioral and computational evidence | |
| CN108039081B (en) | Robot teaching evaluation method and device | |
| Cardon et al. | Deciphering single-subject research design and autism spectrum disorders | |
| Cheng et al. | Examining the accelerated playback hypothesis of time-compression in multimedia learning environments: A meta-analysis study | |
| Willever-Farr et al. | Tell me about my family: A study of cooperative research on Ancestry. com | |
| Rodriguez-Duenas et al. | How can technology assist occupational voice users? | |
| Merida et al. | Analysis on College Student Who Use Gadget, Basic for Behavior Intervention Plan | |
| CN114782224A (en) | Webpage evaluation cheating monitoring method and device based on user characteristics and electronic equipment | |
| CN114691903A (en) | Intelligent course testing method and system, electronic equipment and storage medium | |
| CN111460768B (en) | Questionnaire processing method and device, electronic equipment and storage medium | |
| US20160078774A1 (en) | System and method for providing personality analysis |
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 | ||
| CB02 | Change of applicant information |
Address after: No.2999 Jinshan Road, Huli District, Xiamen City, Fujian Province Applicant after: XIAMEN CARDIOVASCULAR HOSPITAL XIAMEN University Address before: No. 205 Hubin South Road, Siming District, Xiamen City, Fujian Province, 361000 Applicant before: XIAMEN CARDIOVASCULAR HOSPITAL XIAMEN University |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |