CN105118348B - The subject Topic Selection of knowledge based point system - Google Patents
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Abstract
The invention discloses a kind of subject Topic Selection of knowledge based point system, step of the present invention is as follows：Step 1. determines testing time TT according to knowledge point range；Step 2. calculates volume, according to knowledge point range, generates current base grade；Step 3. confirms average solution volume AOG and total volume TQN according to current base grade TG；Step 4. confirms the average selected topic number of each knowledge point according to total volume；Step 5. determines the complexity of per pass examination question；The corresponding examination question type in each knowledge point of step 6. is selected a topic successively according to multiple-choice question, gap-filling questions, multiple-choice question, the order of subjective item；Step 7. calculates the cumulative time for completing test volume, if the testing time TT that the cumulative time is less than or equal in step 1, random from database to select generation test volume after examination question.The present invention intelligently changes the current clearance grade for surveying knowledge point, and boosting student targetedly test and contact, and learning objective is lifted by easy stages.
Description
Technical field
The invention belongs to the subject Topic Selection of online education technical field, more particularly to a kind of knowledge based point system.
Background technology
K12 online educations field is typically considered to most tempting while again most intractable.For current present situation, K12 is taught online
Educate that market is hot and countless companies that draw pursue, so the popular domain as online education, especially ape exam pool, ladder net,
Work network, happy, scholar-tyrant, one who exercises autocratic control in academic and educational circles Jun Deng enterprises enter after middle and primary schools field together, attract pursuing for countless capitals.
The force in this field of K12 online educations is marched from different backgrounds：Have and personally instruct machine as learning the tradition such as Broad education
The transition of structure；There are the online education enterprise of emerging investment, such as ladder net, ape exam pool；There are the enterprise of Publishing Industry background, such as will letter
Education etc.；Large-scale portal website also releases the project of oneself, such as Netease's cloud classroom one after another.
In addition, many internet giants also march online education one after another.Baidu's issue online education product " Baidu's education ",
Then it is proposed " operation side " based on UGC patterns again；Also and then externally issue after " Taobao classmate " has been surveyed including Ali；
Tengxun is proposed professional online education platform Tengxun classroom, helps Xian Xia educational institutions to enter, and explores online education new model.
According to statistics, there are hundreds of families in the domestic enterprise for being engaged in K12 online educations, wherein the overwhelming majority is to set up for nearly 1 year
New spectra, it can be seen that K12 online educations it is hot.
With the development trend of online education, oneself mobile Internet education shield is constantly being constructed by traditional education training organization
Fosse, while training under firm line, by PC ends, the boundary of opening of a mobile terminal expansion new round wards off native offensive, realizes teaching line
Combination under upper and line.
The brand benefit that e degree education networks under good future education give up more than ten years is saved bit by bit and is renamed as " parent side ", is made the transition
For on line, mobile client education exchange of information platform, original web site contents are combed, mobile product is more specify that
Service user colony is " parent ".
Learn Broad education and its first online education product also issued in 2014 --- " e is big " intelligent tutoring system, open
Begun the on-line off-line O2O teaching patterns for integrating complementation.After after several months, learning Broad education upgrading " e is big ", tablet personal computer is increased newly
Using realizing PC, mobile phone and Pad all fronts covering, extend to team teaching mode more than 1 pair from 1 pair of 1 teaching, add sharp
Encourage, entertaining, the element such as social activity, and support at tablet personal computer end to use offline.
Understand a student to knowledge point grasp situation and check its results of learning important means be homework and
Exercise, this is also parent, student, the most important aspect of teacher's care.Start with from the operation and exercise of student, become and much exist
The break-through point that line education company aims at, still more, starts with, compared to other online education products, it more holds in this link
Easily substantial amounts of user data is saved bit by bit in a short time.
During conventional teaching teacher's subject of a lecture, any problem outtalk must less, the arrangement distribution of teaching is more sees teacher's oneself
Judge, and the digitization of student performance is managed and that analysis work is done is very few.In the mobile interchange epoch, based on big data to learning
The analysis of raw study condition, intelligently pushing, parent, teacher, the communication meeting of student three become very convenient.
How to allow student to be inscribed by system, reflect the grasp situation of its knowledge point and the study habit and shape of student
State, while setting up wrong exam pool for the high topic of error frequency, allows student more easily to examine the deficiency of oneself.For this we
Need one to lead figure and knowledge point system towards perfect subject knowledge, be aided with the measurement system of science there is provided one kind because material is applied
Teach Compatible teaching means.
The content of the invention
The purpose of the present invention is that there is provided a kind of subject selected topic side of knowledge based point system in view of the shortcomings of the prior art
Method.
The technical solution adopted for the present invention to solve the technical problems comprises the following steps：
Step 1. determines testing time TT, TT=5*ng according to knowledge point range；
Step 2. calculates volume, according to knowledge point range, generates current base grade, specific as follows：
If the corresponding score value of A, B, C, D grade is respectively 1,2,3,4；Then the reference grade TG of knowledge point range solves as follows
TG=(1 × na+2 × nb+3 × nc+4 × nd)/(na+nb+nc+nd)
Wherein, na is the knowledge point number that grade is A, and nb is the knowledge point number that grade is B, and nc is grade knowing for C
Know point number, nd is the knowledge point number that grade is D；Reference grade TG is rounded, TG corresponding grades after then rounding [A,
B, C, D], so that it is determined that current base grade；
Step 3. confirms average solution volume AOG and total volume TQN according to current base grade TG；
Step 4. confirms the average selected topic number of each knowledge point according to total volume；
Step 5. selects item difficulty, and the examination question number of each knowledge point drawn according to step 3 determines per pass examination question
Complexity；
Topic type includes multiple-choice question, gap-filling questions and subjective item in step 6. multiple-choice question type, database, and each knowledge point is corresponding
Examination question type is selected a topic successively according to multiple-choice question, gap-filling questions, multiple-choice question, the order of subjective item；Until the examination question number of the knowledge point
Select；
Knowledge point range, selected topic difficulty, selected topic quantity, selected topic type and per pass that step 7. is confirmed according to step 1-6
The solution time of examination question, the cumulative time for completing test volume is calculated, if the testing time that the cumulative time is less than or equal in step 1
TT, then it is random from database to select generation test volume after examination question.
Testing time TT, TT=5*ng are determined according to knowledge point range described in step 1, are specifically defined below：
If knowledge is counted out more than 8, ng=5；
If knowledge is counted out between 5-7, ng=4；
If knowledge is counted out between 2-4, ng=3；
If knowledge is counted out as 1, ng=2.
Confirm average solution volume AOG and total volume TQN according to current base grade TG described in step 3, it is specific as follows：
3-1. is by the way that by subject and A, B, C, confirmation of the D grades to AOG is as follows：
If subject is primary school mathematics, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,4,3；
If subject is small English learning, A, B, the corresponding AOG of C Three Estates is respectively 5,3,2；
If subject is Junior Mathematics, A, B, C, the corresponding AOG of tetra- grades of D is respectively 4,3,3,2；
If subject is JEFC, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,3,2；
If subject is junior middle school's science, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,2,1；
Always selected topic amount TQN is calculated as 3-2.：TQN=AOG × ng；
Described AOG refers to the average solution volume of 5 minutes.
The total volume of basis described in step 4 confirms the average selected topic number of each knowledge point, specific to confirm that rule is as follows：
If regular 1. total volumes are more than or equal to knowledge point number, total volume and knowledge point number are divided by, one is obtained
Business S and remainder Y, using business S as the basis selected topic number of each knowledge point, then randomly selects Y from the number of knowledge point again
Topic；
If regular 2. total volumes are less than knowledge point number, using " equiblibrium mass distribution " principle, specifically：
1. chapters and sections homeostatic principle, the benchmark distributed by examination question of chapters and sections；
2. the examination question according to corresponding to volume randomly selects knowledge point.
Selection item difficulty described in step 5, it is specific as follows：
The examination question number of each knowledge point drawn according to step 3, the complexity progress to per pass examination question is following true
Recognize:
If the examination question number of the knowledge point is 4 topics, difficulty is determined according to the present level of the knowledge point, if current etc.
Level is A, then complexity is that A two is inscribed, and B two is inscribed；If present level is B, complexity is that A mono- is inscribed, and B two is inscribed, and C mono- is inscribed；If
Present level is C, then complexity is that B mono- is inscribed, and C two is inscribed, and D mono- is inscribed；If present level is D, complexity is that C two is inscribed, D two
Topic；
If the examination question number of the knowledge point is 3 topics, difficulty is determined according to the present level of the knowledge point, if current etc.
Level is A, then complexity is that A two is inscribed, and B mono- is inscribed；If present level is B, complexity is that B two is inscribed, and C mono- is inscribed；If current etc.
Level is C, then complexity is that C two is inscribed, and D mono- is inscribed；If present level is D, complexity is that C mono- is inscribed, and D two is inscribed；
If the examination question number of the knowledge point is 2 topics, inscribed according to the present level of knowledge point selection two；
If the examination question number of the knowledge point is 1 topic, inscribed according to the present level of knowledge point selection one；
If the examination question number of the knowledge point is 6 or 9 topics, volume multiple is amplified for 3 situation with reference to examination question number；
If the examination question number of the knowledge point is 8 or 12 topics, with reference to the situation amplification volume multiple of examination question number 4.
If the testing time TT that the cumulative time in step 7 exceeds in step 1, is corrected as follows：
Scheme 1：Maintain volume constant, change the testing time；Then generation test is rolled up；
Scheme 2：Part examination question is extracted, last one of examination question of each knowledge point is specifically once extracted, until after extracting
Cumulative time be less than or equal to step 1 in testing time TT, then generation test volume.
The present invention has the beneficial effect that：
The present invention is directed to K12 student group features, and a set of brand-new intelligent detecting and evaluating algorithms of independent research are educated by clearance.
Student is during using the assessment method, and by selecting to need the subject knowledge point chapters and sections tested and assessed to combine, system is intelligently pushed away
The test topic collection of corresponding grade of difficulty is sent, student is after topic answer is completed, and system is quick accurate by auto judge process
The Grasping level of surveyed knowledge point really is mapped, and intelligently the current clearance grade of knowledge point is surveyed in transition, is follow-up
Practise and set up dynamic accurately grade foundation, boosting student is constantly targetedly tested and contacted by this method, in proper order
Progressively lift learning objective.
The present invention, to learning and mastering situation one objective rational metewand of formation of student knowledge point, is that student should
" what is practiced " provides accurate foundation, General Promotion learning efficiency.
Tested and assessed, using system auto judge system, according to test result, formed by the systematicness to each subject knowledge point
The objective evaluation of learning state so that student can obtain knowledge point contents study benefited a great deal, reach special project with a definite target in view
Training objective.This is to merge teaching pattern with clearance line under a kind of novel classroom line.Wherein, high-quality is partly relied on line
Exam pool content, by examining formula to support the religion of adaptability, line top is divided into the important option of learning aid.
Embodiment
With reference to embodiment, the invention will be further described.
The technical solution adopted for the present invention to solve the technical problems comprises the following steps：
Step 1. determines testing time TT, TT=5*ng according to knowledge point range, is specifically defined below：
If knowledge is counted out more than 8, ng=5；
If knowledge is counted out between 5-7, ng=4；
If knowledge is counted out between 2-4, ng=3；
If knowledge is counted out as 1, ng=2；
For example：Select 6 knowledge points, then the testing time be defined as 20 minutes, selection 9 knowledge points then the testing time determine
For 25 minutes, citing below was on the basis of 6 knowledge points
Step 2. calculates volume
2-1. generates current base grade according to knowledge point range, specific as follows：
If the corresponding score value of A, B, C, D grade is respectively 1,2,3,4；Then the reference grade TG of knowledge point range solves as follows
TG=(1 × na+2 × nb+3 × nc+4 × nd)/(na+nb+nc+nd)
Wherein, na is the knowledge point number that grade is A, and nb is the knowledge point number that grade is B, and nc is grade knowing for C
Know point number, nd is the knowledge point number that grade is D；Reference grade TG is rounded, TG corresponding grades after then rounding [A,
B, C, D], so that it is determined that current base grade；
For example, there are 2 knowledge points to be what is do not tested in 6 knowledge points, then two knowledge points are defaulted as
Grade is A, and the grade of remaining four knowledge point is B, B, C, A；Then the present level of six knowledge points is respectively：A、A、B、
B、C、A；TG=(1 × 3+2 × 2+3 × 1)/6, its reference grade TG are A；
Step 3. confirms AOG and total volume TQN (TotalQuestionNumber) according to current base grade TG；
3-1. is by the way that by subject and A, B, C, confirmation of the D grades to AOG is as follows：
If subject is primary school mathematics, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,4,3；
If subject is small English learning, A, B, the corresponding AOG of C Three Estates is respectively 5,3,2；
If subject is Junior Mathematics, A, B, C, the corresponding AOG of tetra- grades of D is respectively 4,3,3,2；
If subject is JEFC, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,3,2；
If subject is junior middle school's science, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,2,1；
For example：With 6 knowledge points, exemplified by reference grade TG is A primary school mathematics, then corresponding AOG is 5；
Always selected topic amount TQN is calculated as 3-2.：TQN=AOG × ng；
Described AOG refers to the average solution volume of 5 minutes；
For example：Total selected topic amount TQN=5*4=20
Step 4, the average selected topic number according to each knowledge point of total volume confirmation are specific to confirm that rule is as follows：
If regular 1. total volumes are more than or equal to knowledge point number, total volume and knowledge point number are divided by, one is obtained
Business S and remainder Y, using business S as the basis selected topic number of each knowledge point, then randomly selects Y from the number of knowledge point again
Topic；
For example：20 divided by 6 are equal to more than 32, then the basis selected topic number of each knowledge point is 3, then again from knowledge point number
In randomly select 2 topics；
If regular 2. total volumes are less than knowledge point number, using " equiblibrium mass distribution " principle, specifically：
1. chapters and sections homeostatic principle, the benchmark distributed by examination question of chapters and sections；
2. the examination question according to corresponding to volume randomly selects knowledge point；
Step 5. selects item difficulty
The examination question number of each knowledge point drawn according to step 3, determines the complexity of per pass examination question, specifically such as
Under:
If the examination question number of the knowledge point is 4 topics, difficulty is determined according to the present level of the knowledge point, if current etc.
Level is A, then complexity is that A two is inscribed, and B two is inscribed；If present level is B, complexity is that A mono- is inscribed, and B two is inscribed, and C mono- is inscribed；If
Present level is C, then complexity is that B mono- is inscribed, and C two is inscribed, and D mono- is inscribed；If present level is D, complexity is that C two is inscribed, D two
Topic；
If the examination question number of the knowledge point is 3 topics, difficulty is determined according to the present level of the knowledge point, if current etc.
Level is A, then complexity is that A two is inscribed, and B mono- is inscribed；If present level is B, complexity is that B two is inscribed, and C mono- is inscribed；If current etc.
Level is C, then complexity is that C two is inscribed, and D mono- is inscribed；If present level is D, complexity is that C mono- is inscribed, and D two is inscribed；
If the examination question number of the knowledge point is 2 topics, inscribed according to the present level of knowledge point selection two；
If the examination question number of the knowledge point is 1 topic, inscribed according to the present level of knowledge point selection one；
If the examination question number of the knowledge point is 6 or 9 topics, volume multiple is amplified for 3 situation with reference to examination question number；
If the examination question number of the knowledge point is 8 or 12 topics, with reference to the situation amplification volume multiple of examination question number 4；
For example：If the examination question number referring to the knowledge point is 3 topics or 4 topics, if wherein present level is A first knowledge
The 3rd knowledge point that point and present level are B is 4 topics, and remaining is 3 topics, specifically：
The selected topic for the knowledge point that first present level is A is：Complexity is that A two is inscribed, and B two is inscribed；
The selected topic for the knowledge point that second present level is A is：Complexity is that A two is inscribed, and B mono- is inscribed；
The selected topic for the knowledge point that 3rd present level is B is：Complexity is that A mono- is inscribed, and B two is inscribed, and C mono- is inscribed；
The selected topic for the knowledge point that 4th present level is B is：Complexity is that B two is inscribed, and C mono- is inscribed；
The selected topic for the knowledge point that 5th present level is C is：Complexity is that C two is inscribed, and D mono- is inscribed；
The selected topic for the knowledge point that 6th present level is A is：Complexity is that A two is inscribed, and B mono- is inscribed；
Step 6, multiple-choice question type
Topic type includes multiple-choice question, gap-filling questions and subjective item in database, and the corresponding examination question type in each knowledge point is according to choosing
Topic, gap-filling questions, multiple-choice question, the order of subjective item is selected to select a topic successively；Until the examination question number of the knowledge point has been selected；
For example：The selected topic for the knowledge point that first present level is A is：Multiple-choice question complexity is A, gap-filling questions difficulty or ease journey
Degree is that A, multiple-choice question complexity are that B, subjective item complexity are B；
The selected topic for the knowledge point that second present level is A is：Multiple-choice question complexity is that A, gap-filling questions complexity are
A, multiple-choice question complexity are B；
The selected topic for the knowledge point that 3rd present level is B is：Multiple-choice question complexity is that A, gap-filling questions complexity are
B, multiple-choice question complexity are that B, subjective item complexity are C；
The selected topic for the knowledge point that 4th present level is B is：Multiple-choice question complexity is that B, gap-filling questions complexity are
B, multiple-choice question complexity are C；
The selected topic for the knowledge point that 5th present level is C is：Multiple-choice question complexity is that C, gap-filling questions complexity are
C, multiple-choice question complexity are D；
The selected topic for the knowledge point that 6th present level is A is：Multiple-choice question complexity is that A, gap-filling questions complexity are
A, multiple-choice question complexity are B.
Knowledge point range, selected topic difficulty, selected topic quantity, selected topic type and per pass that step 7. is confirmed according to step 1-6
The solution time of examination question, the cumulative time for completing test volume is calculated,
If the testing time TT that the cumulative time is less than or equal in step 1, random select generates after examination question from database
Test volume.
If the testing time TT that the cumulative time exceeds in step 1, is corrected as follows：
Scheme 1：Maintain volume constant, change the testing time；Then generation test is rolled up；
Scheme 2：Part examination question is extracted, last one of examination question of each knowledge point is specifically once extracted, until after extracting
Cumulative time be less than or equal to step 1 in testing time TT, then generation test volume.
Claims (6)
1. a kind of Topic Selection of knowledge based point system, it is characterised in that comprise the following steps：
Step 1. determines testing time TT, TT=5*ng according to knowledge point range；Described parameter ng is counted out by knowledge to be determined；
Step 2. calculates volume, according to knowledge point range, generates current base grade, specific as follows：
If the corresponding score value of A, B, C, D grade is respectively 1,2,3,4；Then the reference grade TG of knowledge point range solves as follows
TG=(1 × na+2 × nb+3 × nc+4 × nd)/(na+nb+nc+nd)
Wherein, na is the knowledge point number that grade is A, and nb is the knowledge point number that grade is B, and nc is the knowledge point that grade is C
Number, nd is the knowledge point number that grade is D；Reference grade TG is rounded, TG corresponding grades after then rounding [A, B, C,
D], so that it is determined that current base grade；
Step 3. confirms average solution volume AOG and total volume TQN according to current base grade TG；
Step 4. confirms the average selected topic number of each knowledge point according to total volume；
Step 5. selects item difficulty, and the examination question number of each knowledge point drawn according to step 3 determines the difficulty of per pass examination question
Easy degree；
Topic type includes multiple-choice question, gap-filling questions and subjective item, the corresponding examination question in each knowledge point in step 6. multiple-choice question type, database
Type is selected a topic successively according to multiple-choice question, gap-filling questions, multiple-choice question, the order of subjective item；Until the examination question number of the knowledge point has been selected；
Knowledge point range that step 7. is confirmed according to step 1-6, item difficulty, selected topic quantity, selected topic type, calculate and complete institute
There is the cumulative time of examination question, if the testing time TT that the cumulative time is less than or equal in step 1, examination is selected from database at random
Generation test volume after topic.
2. a kind of Topic Selection of knowledge based point system as claimed in claim 1, it is characterised in that the basis described in step 1
Knowledge point range determines testing time TT, TT=5*ng, is specifically defined below：
If knowledge is counted out more than 8, ng=5；
If knowledge is counted out between 5-7, ng=4；
If knowledge is counted out between 2-4, ng=3；
If knowledge is counted out as 1, ng=2.
3. a kind of Topic Selection of knowledge based point system as claimed in claim 1, it is characterised in that the basis described in step 3
Current base grade TG confirms AOG and total volume TQN, specific as follows：
By the way that by subject and A, B, C, confirmation of the D grades to AOG is as follows：
If subject is primary school mathematics, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,4,3；
If subject is small English learning, A, B, the corresponding AOG of C Three Estates is respectively 5,3,2；
If subject is Junior Mathematics, A, B, C, the corresponding AOG of tetra- grades of D is respectively 4,3,3,2；
If subject is JEFC, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,3,2；
If subject is junior middle school's science, A, B, C, the corresponding AOG of tetra- grades of D is respectively 5,4,2,1；
Total volume TQN's is calculated as：TQN=AOG × ng；
Described AOG refers to the average solution volume of 5 minutes.
4. a kind of Topic Selection of knowledge based point system as claimed in claim 1, it is characterised in that the basis described in step 4
Total volume confirms the average selected topic number of each knowledge point, specific to confirm that rule is as follows：
If regular 1. total volumes are more than or equal to knowledge point number, total volume and knowledge point number are divided by, obtain a business S with
Remainder Y, using business S as the basis selected topic number of each knowledge point, then randomly selects Y topic from knowledge point again；
If regular 2. total volumes are less than knowledge point number, using " equiblibrium mass distribution " principle, specifically：
1. chapters and sections homeostatic principle, the benchmark distributed by examination question of chapters and sections；
2. the examination question according to corresponding to volume randomly selects knowledge point.
5. a kind of Topic Selection of knowledge based point system as claimed in claim 1, it is characterised in that the selection described in step 5
Item difficulty, it is specific as follows：
The examination question number of each knowledge point drawn according to step 3, the complexity to per pass examination question is confirmed as follows:
If the examination question number of the knowledge point is 4 topics, difficulty is determined according to the present level of the knowledge point, if present level is
A, then complexity is that A two is inscribed, and B two is inscribed；If present level is B, complexity is that A mono- is inscribed, and B two is inscribed, and C mono- is inscribed；If current
Grade is C, then complexity is that B mono- is inscribed, and C two is inscribed, and D mono- is inscribed；If present level is D, complexity is that C two is inscribed, and D two is inscribed；
If the examination question number of the knowledge point is 3 topics, difficulty is determined according to the present level of the knowledge point, if present level is
A, then complexity is that A two is inscribed, and B mono- is inscribed；If present level is B, complexity is that B two is inscribed, and C mono- is inscribed；If present level is
C, then complexity is that C two is inscribed, and D mono- is inscribed；If present level is D, complexity is that C mono- is inscribed, and D two is inscribed；
If the examination question number of the knowledge point is 2 topics, inscribed according to the present level of knowledge point selection two；
If the examination question number of the knowledge point is 1 topic, inscribed according to the present level of knowledge point selection one；
If the examination question number of the knowledge point is 6 or 9 topics, volume multiple is amplified for 3 situation with reference to examination question number；
If the examination question number of the knowledge point is 8 or 12 topics, with reference to the situation amplification volume multiple of examination question number 4.
6. a kind of Topic Selection of knowledge based point system as claimed in claim 1, it is characterised in that if accumulative in step 7
The testing time TT that time exceeds in step 1, then corrected as follows：
Scheme 1：Maintain volume constant, change the testing time；Then generation test is rolled up；
Scheme 2：Part examination question is extracted, last one of examination question of each knowledge point is specifically once extracted, until tired after extracting
The testing time TT being less than or equal between timing in step 1, then generation test is rolled up.
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| CN106205254A (en) * | 2016-06-30 | 2016-12-07 | 苏州科大讯飞教育科技有限公司 | Guiding learning system and method |
| CN106649279A (en) * | 2016-12-30 | 2017-05-10 | 上海禹放信息科技有限公司 | Specific information automatic generation system and method |
| CN106875769A (en) * | 2017-03-10 | 2017-06-20 | 杭州博世数据网络有限公司 | A kind of mathematics practice question-setting system |
| 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 |
| CN107220917B (en) * | 2017-06-06 | 2020-05-08 | 高岩峰 | System for automatically generating equivalent test questions |
| CN108520662B (en) * | 2018-04-23 | 2019-12-24 | 温州市鹿城区中津先进科技研究院 | Teaching feedback system based on knowledge point analysis |
| CN109003492B (en) * | 2018-07-25 | 2021-01-05 | 厦门大学附属心血管病医院(厦门市心脏中心) | Topic selection device and terminal equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102346976A (en) * | 2011-03-03 | 2012-02-08 | 郭华 | Electronic device assisted learning method based on knowledge structure and effect feedback |
| EP2575123A1 (en) * | 2011-09-30 | 2013-04-03 | Tata Consultancy Services Limited | Customized question paper generation |
| CN104504953A (en) * | 2014-12-30 | 2015-04-08 | 浪潮(北京)电子信息产业有限公司 | Method and device for randomly generating examination paper |
| CN105118349A (en) * | 2010-09-30 | 2015-12-02 | 株式会社智启集団控股 | Test creation server |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020115048A1 (en) * | 2000-08-04 | 2002-08-22 | Meimer Erwin Karl | System and method for teaching |
| AU2004246432A1 (en) * | 2003-05-14 | 2004-12-16 | Gautam Dharamdas Goradia | Interactive system for building, organising, and sharing one's own databank of questions and answers in a variety of questioning formats, on any subject in one or more languages |
-
2015
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105118349A (en) * | 2010-09-30 | 2015-12-02 | 株式会社智启集団控股 | Test creation server |
| CN102346976A (en) * | 2011-03-03 | 2012-02-08 | 郭华 | Electronic device assisted learning method based on knowledge structure and effect feedback |
| EP2575123A1 (en) * | 2011-09-30 | 2013-04-03 | Tata Consultancy Services Limited | Customized question paper generation |
| CN104504953A (en) * | 2014-12-30 | 2015-04-08 | 浪潮(北京)电子信息产业有限公司 | Method and device for randomly generating examination paper |
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