CN106530158A - Method of decomposing structure of knowledge mode and examining, deducing and authenticating knowledge and capability of people - Google Patents
Method of decomposing structure of knowledge mode and examining, deducing and authenticating knowledge and capability of people Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The present invention discloses a computer system utilizing a knowledge-based mode, and relates to a method of deducing and authenticating the knowledge and the capability of the people. The method comprises the steps of 1 dividing the professional knowledge into the theoretical knowledge and the skill knowledge; 2 classifying the professional knowledge in detail to classify and design the knowledge points; 3 setting questions according to the knowledge points, dividing the question types into the true or false questions and the choice questions, and inputting in the computer system to form a massive question base; 4 enabling each person to log in the computer system to examine, and setting the questions randomly via the computer system to form the examination papers of certain question numbers, for example 100 questions, wherein the knowledge points of the same examination paper are not repeated, and the examination papers are different every time each person logs in the computer system; 5 according to the achievement of an examinee of answering each question, deducing whether the examinee grasp the knowledge corresponding to the knowledge points, thereby concretely calculating the level of the theoretical knowledge and the skill knowledge of each person, namely a talent report. The method changes the situation that the previous paper-based examination only can calculate the scores, but can not calculate the levels of the knowledge and the capability of the people.
Description
Technical field
The present invention relates to a kind of computer system of utilization knowledge based pattern, more particularly to reasoning and surveyor are known
Knowledge and the method for ability.
Background technology
At present, to the knowledge and ability of people examination or test mainly using catechetical examination paper mode, according to answer
Result judgement fraction, so as to the knowledge and ability of reasoning people.This mode lose under many circumstances it is just and sound, and merely
Take answer fraction as the talent for the theoretical situation for departing from practice, fraction and people often occur according to the knowledge and ability of going reasoning people
Present serious deviation.Therefore, a kind of computer system of utilization knowledge based pattern of invention, more particularly to reasoning people
The method of knowledge and ability, realizes the examination or test of knowledge and ability to people, can both calculate fraction, again can be concrete
The knowwhy for calculating people and technical ability knowledge level.
The content of the invention
Inventor Zhu Changchun for many years engages in scholarly research and practical work, and the STRUCTURE DECOMPOSITION, people to knowledge schema connects
By the mode that knowledge is taken an examination, furtherd investigate with the method for the knowledge and ability of reasoning people, with reference to modern computing machine information system
System technology, has invented a kind of computer system of utilization knowledge based pattern, more particularly to the knowledge of reasoning and surveyor and
The method of ability.
Knowledge is a point specialty, has major field.Professional knowledge is divided into knowwhy and technical ability knowledge.
Exhaustive division is carried out to professional knowledge, according to exhaustive division, the knowledge point of each class knowledge is designed；Same point
Class knowledge, can produce multiple knowledge points；Classification to each professional knowledge is more detailed, description of the knowledge point to the classificating knowledge
It is more accurate, it is more careful.
Set a question with knowledge point, same knowledge point can go out several exercise questions；The topic type of exercise question is divided into True-False and selection
Topic, multiple-choice question are divided into single choice test items, multiple-choice question and multiple choice topic again；The difficulty or ease rank of exercise question be divided into easy level,
Middle grade and difficult level；Based on topic type and difficulty or ease rank, if one exercise question of same knowledge point can derive arterial highway again again
Exercise question.
Exercise question, convergence form questions pool.
In exam pool, an exam pool coding is all assigned with to per pass exercise question；Per pass exercise question exam pool coding by major field,
Exercise question source, suitable parameters, topic type and difficulty or ease rank correspond to the digital and alphabetical of representative respectively, add exam pool successively to per problem
Seven digit sequence numbers of mesh distribution, combine.
In exam pool, a knowledge point coding is all assigned with to per pass exercise question；Knowledge point per problem is encoded by specialty side
To, suitable parameters, exercise question source knowledge point location number and knowledge point produce exercise question serial number, combine.
Personal intervention computer system is had an examination, and computer system produces the quantity of a regulation exercise question, topic type ratio
With the paper of difficulty or ease rank ratio；One paper specifies the quantity of exercise question, can be 100 topics, can be 120 topics, can
Be 150 topic, or other quantity, quantity be it is variable, but examination start before, one must be preset
Quantity；Topic type ratio, refers to the exercise question ratio that various topic types are occupied in a paper；Difficulty or ease rank ratio, refers in a paper
In, the exercise question ratio of easy level, middle grade and difficult level.
The difference of the major field and suitable parameters of computer system selection is intervened according to everyone, computer system is to examination
The computing mode of volume configuration is different, and the paper configuration exercise question that computer system is produced is also different；Computer take with
Machine is set a question, and selects same major field and suitable parameters, and the computing mode that computer system is configured to paper is identical, but paper
Exercise question is different.
In a paper, the knowledge point of per pass exercise question is different；Knowledge point is provided with computer system not repeat
With topic rule program.
Knowledge point it is unduplicated with topic rule program, on the basis of topic type, to each topic type with topic into paper it
Afterwards, scanning comes into the knowledge point of paper exercise question, is excluded, then row arranges second topic type to enter paper with topic, successively
Paper is carried out with topic operation program.For example, antecedent ground paper exercise question quantity, major field, suitable parameters and difficulty or ease rank ratio
Example requires that configuration multiple choice topic, it is determined that corresponding exercise question enters paper, is then scanned into the multiple choice topic of paper
The knowledge point that exercise question is used, is excluded, and the exercise question of all knowledge points having been used no longer includes the alternative objects of next topic type；
The exercise question for configuring the topic type of multiple-choice question, single choice test items and True-False successively enters paper, forms a examination paper；Examine
Volume of having a try shows answer order then in turn, is followed successively by True-False, single choice test items, multiple-choice question and multiple choice topic.
Answer, everyone must be in answer in the time that computer system specifies；Over-time does not make the exercise question answered, depending on
For mistake.
Talent reports that content includes paper fraction, and answer is correct and wrong corresponding reasoning and expert's conclusion.To intervention meter
Calculation machine system receives after the individual of test paper examination completes examination program, and computer system will calculate the examination point of he or she
Number, and the level of the knowwhy and technical ability knowledge of he or she's grasp, i.e. talent report.
Talent is reported, in addition to the fraction that personal intervention computer system is had an examination is shown, the reason grasped by he or she
By reasoning and the expert's conclusion of knowledge and the level of technical ability knowledge.Receive the individual of test paper examination, meter to intervening computer system
Calculate the level of the knowwhy and technical ability knowledge of he or she's grasp；Receive the individual of test paper examination to intervening computer system,
Answer is correct, reasoning be he or she for corresponding knowledge point belongs to positive effect, for corresponding knowledge point understands state；
Receive the individual of test paper examination to intervening computer system, answer mistake, reasoning is he or she for corresponding knowledge point belongs to
In negative effect, for corresponding knowledge point miss status；Receive the individual of test paper examination, knowledge point to intervening computer system
It is knowwhy, answer is correct, then identifies he or she for corresponding knowledge point is clearly；Knowledge point is knowwhy,
Answer mistake, then identify he or she for corresponding knowledge point is fuzzy；Receive test paper examination to intervening computer system
Individual, knowledge point is technical ability knowledge, and answer is correct, then identify he or she for corresponding knowledge point possesses；Knowledge
Point is technical ability knowledge, answer mistake, then identify that he or she is shortcoming for corresponding knowledge point.Related description, see the table below：
The exercise question produced based on all kinds of knowledge, the logical relation that answer person is present with the knowledge schema contained by exercise question will
Point is exactly knowledge point.Knowledge point describes, and is exactly accurately to embody knowledge architecture；For receiving in computer system platform mode
The individual of examination, used as answer person, the answer to exercise question, the knowledge schema contained with per pass exercise question have logical relation,
Computer system goes reasoning and identification answer person individual to accumulate per pass exercise question by this logical relation is carried out STRUCTURE DECOMPOSITION
The knowledge for containing and corresponding ability.
Description of the drawings
Fig. 1 is the structural decomposition diagram of knowledge schema of the present invention.
Fig. 2 is that the knowledge point of knowledge schema of the present invention is set a question into exam pool path schematic diagram.
Fig. 3 is that the exercise question of knowledge schema of the present invention encodes composition schematic diagram in exam pool coding and knowledge point in exam pool.
Fig. 4 has an examination for the personal intervention computer system of the present invention and generates talent report schematic diagram.
It is unduplicated with topic rule program schematic diagram that Fig. 5 contains knowledge point for same paper of the present invention.
Fig. 6 is talent body of the report structural representation of the present invention.
Specific embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, as shown in figure 1, the present invention is to knowledge schema
STRUCTURE DECOMPOSITION, knowledge are divided according to major field, knowwhy and technical ability knowledge are divided into professional knowledge, then are entered respectively
Row exhaustive division, more careful classification is emphasized, the classification of materialization；According to sorted concrete instruction, design and embody this point
The main points of class concrete knowledge, form knowledge point；The description of knowledge point is brief and concise；Each classificating knowledge for embodying, can
To form multiple knowledge points, but each knowledge point suitable parameters is different.
As shown in Figure 2 and Figure 3, set a question into computer system (exam pool) according to knowledge point, topic type is only limitted to True-False and choosing
Select topic, it is possible to achieve after directly the personal intervention computer system of calculating is had an examination, by achievement computing, directly generate talent report
Accuse；In per pass exercise question, difficulty or ease rank is set；Exercise question enter computer system (exam pool) according to major field, exercise question source, be suitable for
The exam pool coding that parameter, topic type, difficulty or ease rank and seven digit sequence numbers are generated；Meanwhile, exercise question enters computer system (exam pool)
Exercise question serial number (numeral) is produced according to major field, suitable parameters, exercise question source knowledge point location number and knowledge point to generate
Knowledge point coding；Per pass exercise question has an independent exam pool coding and an independent knowledge in computer system (exam pool)
Point coding.
The seven digit sequence numbers in (0025) are produced into computer system (exam pool) in order according to per pass exercise question
Raw serial number, is that computer system automatic increase is generated, is digital form.
Knowledge point in (0025) produces knowledge point of the exercise question serial number according to belonging to per pass exercise question and enters department of computer science
The serial number that system (exam pool) is produced in order, is that computer system automatic increase is generated, is digital form, is to depend on
Exist in each knowledge point.
As shown in figure 4, personal log into thr computer system (exam pool), after determining major field and suitable parameters options, meter
Calculation machine system can generate paper according to the options configuration exercise question for determining；The quantity of paper exercise question, topic type ratio and difficulty or ease rank
Ratio all can be in response to examination property difference adjusted, pre-set；In the questions pool of computer system (exam pool)
In, it is random proposition rule that configuration exercise question generates paper, is logged in no matter whether options is identical each time, and paper exercise question is also not
With；Same paper exercise question, knowledge point be also it is unduplicated, as soon as example hundred problem purpose paper, contains 100 naturally
Knowledge point；Safeguard and support examination quality.
As shown in figure 5, realize that topic rule program is not repeatedly matched somebody with somebody in the knowledge point that every paper exercise question contains, on the basis of topic type
Set a question；Start to set a question from undefined term multiple-choice question, according to the set exercise question quantity of paper, major field, suitable parameters and difficulty or ease level
Other exercise question ratio, determines that exercise question enters paper；Exclude the computer of the knowledge point quantity correlation that multiple choice topic has been used
After system (exam pool) exercise question, then start multiple-choice question and set a question, according to the set exercise question quantity of paper, major field, be suitable for
Parameter and difficulty or ease rank exercise question ratio, determine that exercise question enters paper；In the same manner, exclude multiple choice topic with multiple-choice question
After related computer system (exam pool) exercise question of the knowledge point quantity that uses, then start single choice test items and set a question, according to paper
Set exercise question quantity, major field, suitable parameters and difficulty or ease rank exercise question ratio, determine that exercise question enters paper；In the same manner, exclude
Multiple choice topic, the multiple-choice question computer system (exam pool) related to the knowledge point quantity that single choice test items have been used
After exercise question, then start True-False and set a question, according to the set exercise question quantity of paper, major field, suitable parameters and difficulty or ease rank
Exercise question ratio, determines that exercise question enters paper；Generate paper.
In (0029), sequentially it is to set a question from undefined term multiple-choice question, multiple-choice question, single choice test items and True-False successively
Paper is generated, for being accustomed to according to the exercise question examination of people, answer order is from True-False, single choice test items, multiple-choice question
Inscribe to multiple choice, therefore the display of generation paper is selected from True-False, single choice test items, multiple-choice question to undefined term
Select topic and show exercise question successively, receive personal examination.
As shown in fig. 6, talent report is entered to the knowledge and ability of people by paper fraction, knowledge point, based on knowledge point
Row reasoning and identification；Receive the individual of test paper examination to intervening computer system, calculate he or she's grasp knowwhy and
The level of technical ability knowledge；Talent report shows the inventory of the level of the knowwhy and technical ability knowledge of he or she's grasp, and
The knowwhy do not grasped and the inventory of the level of technical ability knowledge；Receive the individual of test paper examination to intervening computer system, answer
Topic is correct, reasoning be he or she for corresponding knowledge point belongs to positive effect, for corresponding knowledge point understands state；It is right
Intervention computer system receives the individual of test paper examination, answer mistake, and reasoning is he or she for corresponding knowledge point belongs to
Negative effect, for corresponding knowledge point miss status；Receive the individual of test paper examination to intervening computer system, knowledge point is
Knowwhy, answer are correct, then identify he or she for corresponding knowledge point is clearly；Knowledge point is knowwhy, is answered
Topic mistake, then identify he or she for corresponding knowledge point is fuzzy；Receive test paper examination to intervening computer system
Individual, knowledge point is technical ability knowledge, and answer is correct, then identify he or she for corresponding knowledge point possesses；Knowledge point
It is technical ability knowledge, answer mistake, then identify that he or she is shortcoming for corresponding knowledge point.
Claims (7)
1. a kind of computer system of utilization knowledge based pattern, the more particularly to side of the knowledge and ability of reasoning and surveyor
Method, it is characterised in that include the STRUCTURE DECOMPOSITION to knowledge schema, design knowledge point is set a question, exam pool, and examination and talent are reported.
2. the STRUCTURE DECOMPOSITION to knowledge schema according to claims 1, it is characterised in that specifically include：(1) it is various to know
Knowledge all has major field；(2) every kind of professional knowledge all has concrete classification, exhaustive division.
3. the design knowledge point according to claims 1, it is characterised in that specifically include：(1) for the detailed of professional knowledge
Disaggregated classification, is depicted the main points of each exhaustive division knowledge, the knowledge point exactly designed；(2) knowledge point, is divided into theory and knows
Know and technical ability knowledge.
4. setting a question according to claims 1, it is characterised in that specifically include：(1) set a question with knowledge point, topic type is divided
For True-False and multiple-choice question；(2) multiple-choice question, is divided into single choice test items, multiple-choice question and multiple choice topic again；(3) it is every
Road exercise question is all provided with major field, exercise question source, suitable parameters, topic type and difficulty or ease rank；(4) major field, exercise question source,
Suitable parameters, topic type and difficulty or ease rank, are all assigned different numerals and monogram, and different numerals and letter are represented respectively
Different major field, different exercise question sources, different suitable parameters, different topic types and different difficulty or ease ranks.
5. the exam pool according to claims 1, it is characterised in that specifically include：(1) all distribute a topic to per pass exercise question
Storehouse encodes；(2) the exam pool coding of per pass exercise question is right respectively by major field, exercise question source, suitable parameters, topic type and difficulty or ease rank
What is Ying represented is digital and alphabetical, adds exam pool and is sequentially allocated and give exercise question seven digit sequence numbers, combines；(3) to per pass exercise question
All distribute a knowledge point coding；(4) per problem knowledge point coding by suitable parameters, exercise question source, knowledge point location number,
Knowledge point produces exercise question serial number, combines.
6. the examination according to claims 1, it is characterised in that specifically include：(1) computer system is to having an examination
Everyone provides the paper of the quantity of a regulation exercise question, topic type ratio and difficulty or ease rank ratio；(2) meter is intervened according to everyone
The difference of the major field and suitable parameters of calculation machine Systematic selection, the paper exercise question that computer system is produced is also different；(3)
Computer system takes random proposition, selects same major field and suitable parameters, computer system to configure exercise question to paper
Computing mode it is identical, paper exercise question is also different；(4) computer system provides a paper to everyone, it is stipulated that quantity
It is 100 problems, is exactly 100 knowledge points, it is impossible to has repetition knowledge point in same paper；(5) each having an examination
People must carry out answer at the appointed time, the non-answer of over-time, be considered as mistake.
7. the talent report according to claims 1, it is characterised in that specifically include：(1) connect to intervening computer system
Gone out fraction by the individual calculus of test paper examination；(2) receive the individual of test paper examination to intervening computer system, calculate he or she
The level of the knowwhy and technical ability knowledge of grasp；(3) receive the individual of test paper examination to intervening computer system, answer is correct
, reasoning is that he or she belongs to positive effect for corresponding knowledge point, for corresponding knowledge point understands state；(4) to being situated between
Enter the individual that computer system receives test paper examination, answer mistake, reasoning is he or she for corresponding knowledge point belongs to negative
Face effect, for corresponding knowledge point miss status；(5) individual of test paper examination, knowledge point are received to intervening computer system
It is knowwhy, answer is correct, then identifies he or she for corresponding knowledge point is clearly；Knowledge point is knowwhy,
Answer mistake, then identify he or she for corresponding knowledge point is fuzzy；(6) receive paper to intervention computer system to examine
The individual of examination, knowledge point is technical ability knowledge, and answer is correct, then identify he or she for corresponding knowledge point possesses；Know
It is technical ability knowledge to know point, answer mistake, then identify that he or she is shortcoming for corresponding knowledge point；(7) talent report, interior
Appearance includes paper fraction, and answer is correct with wrong corresponding reasoning and expert's conclusion.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106997571A (en) * | 2017-03-29 | 2017-08-01 | 北京师范大学 | A kind of subject study development commending system and method based on data-driven |
| CN107316256A (en) * | 2017-05-10 | 2017-11-03 | 杭州博世数据网络有限公司 | A kind of physics exercise question-setting system |
| 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 |
| 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 |
| CN107894999A (en) * | 2017-10-27 | 2018-04-10 | 成都准星云学科技有限公司 | Towards the topic type automatic classification method and system based on thinking of solving a problem of elementary mathematics |
| CN109803022A (en) * | 2019-01-30 | 2019-05-24 | 浙江蓝鸽科技有限公司 | A kind of digitalization resource shared system and its method of servicing |
| CN109977230A (en) * | 2019-04-02 | 2019-07-05 | 上海乂学教育科技有限公司 | It is suitble to the multiple-choice question mistake of adaptive teaching because of analysis method |
| CN110197454A (en) * | 2018-02-27 | 2019-09-03 | 深圳微盐传媒科技有限公司 | A kind of knowledge question processing method and interactive terminal |
| CN111709222A (en) * | 2020-06-16 | 2020-09-25 | 辽宁工程技术大学 | Novel question bank system |
| CN113657723A (en) * | 2021-07-26 | 2021-11-16 | 弘成科技发展有限公司 | Knowledge point mastering condition diagnosis method, test question recommendation method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1932795A (en) * | 2006-10-10 | 2007-03-21 | 青岛中科恒信信息技术有限公司 | Examination paper intelligent setting questions and organizing system |
| CN104217310A (en) * | 2014-09-27 | 2014-12-17 | 昆明钢铁集团有限责任公司 | Smart paperless examination system and method |
| CN105575206A (en) * | 2016-03-01 | 2016-05-11 | 谢荣岳 | Ordnance soldier vocational skill identification virtual examine and training system |
| CN105844105A (en) * | 2016-03-31 | 2016-08-10 | 中国残疾联合会就业服务指导中心 | Method and system for assessing occupational adaptability of disabled persons |
-
2016
- 2016-11-07 CN CN201610976783.6A patent/CN106530158A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1932795A (en) * | 2006-10-10 | 2007-03-21 | 青岛中科恒信信息技术有限公司 | Examination paper intelligent setting questions and organizing system |
| CN104217310A (en) * | 2014-09-27 | 2014-12-17 | 昆明钢铁集团有限责任公司 | Smart paperless examination system and method |
| CN105575206A (en) * | 2016-03-01 | 2016-05-11 | 谢荣岳 | Ordnance soldier vocational skill identification virtual examine and training system |
| CN105844105A (en) * | 2016-03-31 | 2016-08-10 | 中国残疾联合会就业服务指导中心 | Method and system for assessing occupational adaptability of disabled persons |
Non-Patent Citations (1)
| Title |
|---|
| 田翔，肖人岳，熊赟晖，邓飞其: "一个改进的通用成卷模型及其智能算法", 《华南理工大学学报（自然科学版）》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106997571A (en) * | 2017-03-29 | 2017-08-01 | 北京师范大学 | A kind of subject study development commending system and method based on data-driven |
| CN107316256A (en) * | 2017-05-10 | 2017-11-03 | 杭州博世数据网络有限公司 | A kind of physics exercise question-setting system |
| 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 |
| 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 |
| CN107894999A (en) * | 2017-10-27 | 2018-04-10 | 成都准星云学科技有限公司 | Towards the topic type automatic classification method and system based on thinking of solving a problem of elementary mathematics |
| CN110197454A (en) * | 2018-02-27 | 2019-09-03 | 深圳微盐传媒科技有限公司 | A kind of knowledge question processing method and interactive terminal |
| CN109803022A (en) * | 2019-01-30 | 2019-05-24 | 浙江蓝鸽科技有限公司 | A kind of digitalization resource shared system and its method of servicing |
| CN109803022B (en) * | 2019-01-30 | 2022-02-18 | 浙江蓝鸽科技有限公司 | Digital resource sharing system and service method thereof |
| CN109977230A (en) * | 2019-04-02 | 2019-07-05 | 上海乂学教育科技有限公司 | It is suitble to the multiple-choice question mistake of adaptive teaching because of analysis method |
| CN111709222A (en) * | 2020-06-16 | 2020-09-25 | 辽宁工程技术大学 | Novel question bank system |
| CN113657723A (en) * | 2021-07-26 | 2021-11-16 | 弘成科技发展有限公司 | Knowledge point mastering condition diagnosis method, test question recommendation method and device |
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