CN109598655A - A kind of college entrance will accurate measurement method and system based on big data and artificial intelligence - Google Patents
A kind of college entrance will accurate measurement method and system based on big data and artificial intelligence Download PDFInfo
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Abstract
The present invention provides a kind of college entrance will accurate measurement method based on big data and artificial intelligence, comprising: selection entering oneself for the examination mode or enter oneself for the examination mode based on profession based on school, and input student's personal information;Use selection based on school when entering oneself for the examination mode, the score of student is adjusted to and last year comparable amendment score, and the acceptance cut-off point of school's last year are corrected to obtain school's amendment acceptance cut-off point, the two is subtracted each other to obtain the first score difference, the school of the first score difference of screening in a certain range selects for student;Use based on profession when entering oneself for the examination mode, the score of student is adjusted to obtain the second score difference with last year comparable amendment score, the acceptance cut-off point for subtracting wish professional last year, the wish profession of the second score difference of screening in a certain range is selected for student.The present invention also provides a kind of the college entrance will fine system based on big data and artificial intelligence, the mode of entering oneself for the examination being compatible under new and old entrance examination policies, and provide and accurately enter oneself for the examination foundation.
Description
Technical field
The present invention relates to education sector more particularly to a kind of college entrance will accurate measurement methods based on big data and artificial intelligence
And system.
Background technique
From new entrance examination policies in 2014 are carried out in Zhejiang and the Shanghai province Liang Ge pilot, each province in the whole nation is also gradually real
It applies, earth-shaking variation also has occurred in enrollment policy therewith, and most of current enrollment policy is still merely able to support original
Unity and coherence in writing branch mode mode of recruiting students, and be less able to be suitble to the mode of recruiting students of new college entrance examination mode.With more and more provinces
Implement new college entrance examination mode, aspiration fine mode also changes correspondingly.Enrollment System under existing unity and coherence in writing branch mode has following
Disadvantage: can not provide the recruitmentscale under new and old two kinds of entrance examination policies simultaneously, and do not account for the enrollment policy in portion, educational administration with
And because prediction of previous annual report aspiration when flocking together and cause to enter oneself for the examination is not accurate enough, prevent a large amount of examinees from be admitted to and oneself
The intention school that achievement matches, school and examinee individual to enrollment are all unfavorable.
Summary of the invention
One of the technical problem to be solved in the present invention is to provide a kind of college entrance will based on big data and artificial intelligence
Accurate measurement method meets the enrollment needs under different entrance examination policies, while the accuracy by proposing college entrance will prediction.
One of the technical problem to be solved in the present invention is achieved in that a kind of college entrance examination based on big data and artificial intelligence
Volunteer accurate measurement method, includes the following steps:
Step 10, selection entering oneself for the examination mode or enter oneself for the examination mode based on profession based on school, and input student individual
Information, student's personal information include the source of students of student, intention province, score, subject, intention school and intention profession;
Based on school enter oneself for the examination mode under, the subject be unity and coherence in writing branch;Based on profession enter oneself for the examination mode under, the subject
For curricula-variable subject;
Step 20, use selection based on school when entering oneself for the examination mode, information is admitted by examination to this year according to last year and this year
The score of student is adjusted, obtain with last year comparable amendment score, and according to the acceptance cut-off point and correspondence over the years of school
The difference of batch line score last year school's acceptance cut-off point are adjusted, obtain last year school amendment acceptance cut-off point, will
The amendment score subtracts school's amendment acceptance cut-off point and obtains the first score difference, screens all first score differences in a certain range
Alternately school selects for student for interior school;
Step 30, use based on profession when entering oneself for the examination mode, information is admitted by examination to student in this year according to last year and this year
Score be adjusted, obtain with last year comparable amendment score, the amendment score is subtracted to the admission of wish professional last year
Score line obtains the second score difference, and it is alternately professional for learning to screen the wish profession of all second score differences in a certain range
Raw selection.
Further, the step 20 further comprises:
Step 21, use selection based on school when entering oneself for the examination mode, obtain last year and this year admits information and by examination
Several ranking informations estranged, it is poor that enrollment in this year is compared with last year enrollment to obtain enrollment, according to enrollment people
The corresponding score difference of number difference is modified student's score in this year, obtains and last year comparable amendment score;
Step 22, the admission score for obtaining school's the first four years and corresponding batch line score calculate admission point in each year
Several and batch line score difference, obtains four differences Y4, Y3, Y2, Y1, asks first to be averaged 3 years wherein earliest differences
Value m1=(Y4+Y3+Y2)/3, then the first average value m1 difference Y1 for subtracting year is sought into the second average value m2=(m1-Y1)/3, it will
Second average value obtains amendment point difference Y0=Y1+m2 plus point difference of last year, and amendment point difference is counted with last year batch score
Calculation obtains last year school amendment acceptance cut-off point;
The amendment score is subtracted last year school amendment acceptance cut-off point and obtains the first score difference by step 23, screens institute
There is the first score difference school in a certain range and be shown, is selected for student.
Further, the step 30 further comprises:
Step 31, use based on profession when entering oneself for the examination mode, obtain last year and this year admits information and student point by examination
Number ranking informations, it is poor that enrollment in this year is compared with last year enrollment to obtain enrollment, poor according to enrollment
Corresponding score difference is modified student's score in this year, obtains and last year comparable amendment score;
Step 32, the acceptance cut-off point that the amendment score of student is subtracted to wish professional last year obtain the second score difference, sieve
It selects the wish of all second score differences in a certain range professional and is shown, selected for student.
Further, the calculating of the amendment score in the step 21 and step 31 is all made of following calculation:
If more x people, the amendment score are student's score in this year plus x people's in this year to enrollment in this year compared with last year
Score difference, otherwise, if enrollment in this year lacks x people compared with last year, the amendment score is that student's score in this year subtracts x in this year
The score difference of people, wherein the value of x is integer.
Further, the alternative school arranges from high to low according to score shows student, selects for student;
The alternative profession arranges from high to low according to score shows student, selects for student.
The second technical problem to be solved by the present invention is to provide a kind of college entrance will based on big data and artificial intelligence
Fine system meets the enrollment needs under different entrance examination policies, while the accuracy by proposing college entrance will prediction.
The second technical problem to be solved by the present invention is achieved in that a kind of college entrance examination based on big data and artificial intelligence
Volunteer fine system, including mode selection module, school enter oneself for the examination module and profession enters oneself for the examination module;
The mode selection module, for selecting entering oneself for the examination mode or enter oneself for the examination mode based on profession based on school,
And input student's personal information, student's personal information include the source of students of student, intention province, score, subject, intention
School and intention profession;Based on school enter oneself for the examination mode under, the subject be unity and coherence in writing branch;Mould is being entered oneself for the examination based on profession
Under formula, the subject is curricula-variable subject;
Module is entered oneself for the examination by the school, for use selection based on school when entering oneself for the examination mode, according to last year and this year
Information is admitted by examination to be adjusted the score of student in this year, obtain with last year comparable amendment score, and according to the record over the years of school
It takes score line and the difference of corresponding batch line score to be adjusted last year school's acceptance cut-off point, obtains the amendment of last year school
The amendment score is subtracted school's amendment acceptance cut-off point and obtains the first score difference, screens all first points by acceptance cut-off point
Alternately school selects for student for the school of number difference in a certain range;
The profession enters oneself for the examination module, for use based on profession when entering oneself for the examination mode, according to admitting by examination for last year and this year
Information is adjusted the score of student in this year, obtain with last year comparable amendment score, the amendment score is subtracted into wish
The acceptance cut-off point of professional last year obtain the second score difference, screen the wish profession of all second score differences in a certain range and make
It is selected for alternative profession for student.
Further, it further comprises student's score correction module, school's score correction module that module is entered oneself for the examination by the school
And school's screening module:
Student's score correction module, for use selection based on school when entering oneself for the examination mode, obtain last year and the present
Year admits information and student's score ranking information by examination, and enrollment in this year is compared with last year enrollment and is recruited student
Number is poor, is modified according to the corresponding score difference of enrollment difference to student's score in this year, obtains comparable repairing with last year
Positive score;
School's score correction module, for obtain school's the first four years admission score and corresponding batch line score,
Each year admission score and the difference of batch line score are calculated, four differences Y4, Y3, Y2, Y1 are obtained, to wherein earliest three
The difference in year seeks the first average value m1=(Y4+Y3+Y2)/3, then asks second to be averaged the first average value m1 difference Y1 for subtracting year
Second average value is obtained an amendment point difference Y0=Y1+m2 plus point difference of last year by value m2=(m1-Y1)/3, will amendment point difference and
Last year batch score carries out that last year school amendment acceptance cut-off point are calculated;
School's screening module obtains first for the amendment score to be subtracted last year school amendment acceptance cut-off point
Score difference screens all first score differences school in a certain range and is shown, selects for student.
Further, it further comprises student's score correction module and professional screening module that the profession, which enters oneself for the examination module:
Student's score correction module, for use based on profession when entering oneself for the examination mode, obtain last year and this year
It admits information and student's score ranking information by examination, enrollment in this year is compared to obtain enrollment with last year enrollment
Difference is modified student's score in this year according to the corresponding score difference of enrollment difference, obtains and last year comparable amendment point
Number;
The profession screening module, the acceptance cut-off point for the amendment score of student to be subtracted wish professional last year obtain
Second score difference, the wish of all second score differences of screening in a certain range is professional and is shown, and selects for student.
Further, module is entered oneself for the examination by the school and the professional calculating for entering oneself for the examination the amendment score in module is all made of following meter
Calculation mode:
If more x people, the amendment score are student's score in this year plus x people's in this year to enrollment in this year compared with last year
Score difference, otherwise, if enrollment in this year lacks x people compared with last year, the amendment score is that student's score in this year subtracts x in this year
The score difference of people, wherein the value of x is integer.
Further, the alternative school arranges from high to low according to score shows student, selects for student;
The alternative profession arranges from high to low according to score shows student, selects for student.
It is compatible to before the reform the present invention has the advantage that enter oneself for the examination mode by the way that school is arranged and profession enters oneself for the examination mode
Curricula-variable section after the entering oneself for the examination and reform of unity and coherence in writing branch entering oneself for the examination now, flexibly, for user's unrestricted choice, and by working as student
Preceding score is modified to the score of last year, is compared with last year admission score, obtains the correspondence institute that can accurately enter oneself for the examination
The information of school and corresponding profession, provides more accurately reference frame, while data transparency for student, can be improved and admit institute by examination
Admit rate by examination in school.
Detailed description of the invention
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the method for the present invention execution flow chart.
Fig. 2 is present system logic diagram.
Specific embodiment
As shown in Figure 1, a kind of college entrance will accurate measurement method based on big data and artificial intelligence of the invention, including it is as follows
Step:
Step 10, selection entering oneself for the examination mode or enter oneself for the examination mode based on profession based on school, and input student individual
Information, student's personal information include the source of students of student, intention province, score, subject, intention school (can be left empty)
It is professional (can be left empty) with intention;Based on school enter oneself for the examination mode under, the subject be unity and coherence in writing branch;It is being with profession
Main enters oneself for the examination under mode, and the subject is curricula-variable subject;
Step 20, use selection based on school when entering oneself for the examination mode, information is admitted by examination to this year according to last year and this year
The score of student is adjusted, obtain with last year comparable amendment score, and according to the acceptance cut-off point and correspondence over the years of school
The difference of batch line score last year school's acceptance cut-off point are adjusted, obtain last year school amendment acceptance cut-off point, will
The amendment score subtracts school's amendment acceptance cut-off point and obtains the first score difference, screens all first score differences in a certain range
Alternately school selects for student for the school of interior (such as ± 10);
Step 30, use based on profession when entering oneself for the examination mode, information is admitted by examination to student in this year according to last year and this year
Score be adjusted, obtain with last year comparable amendment score, the amendment score is subtracted to the admission of wish professional last year
Score line obtains the second score difference, screens the wish profession of all second score differences (such as ± 10) in a certain range as standby
Choosing profession is selected for student.
Preferably, the step 20 further comprises:
Step 21, use selection based on school when entering oneself for the examination mode, obtain last year and this year admits information and by examination
Several ranking informations estranged, it is poor that enrollment in this year is compared with last year enrollment to obtain enrollment, according to enrollment people
The corresponding score difference of number difference is modified student's score in this year, obtains and last year comparable amendment score;Wherein, amendment point
Several calculating is all made of following calculation: if more x people, the amendment score are in this year to enrollment in this year compared with last year
Number estranged adds the score difference of x people in this year, and otherwise, if enrollment in this year lacks x people compared with last year, the amendment score is this year
Student's score subtract the score difference of x people in this year, wherein the value of x is integer.Because annual number difference is different, score difference also can
It adjusts therewith.For example one enrollment of sheet in this year is 11000 people, one enrollment of last year sheet is 10000 people, the batch of last year
Line is 500, according to the data of last year: score is 502 to have 400 people, 300 people that have that score is 501, and score is 500 to have 300
People, score be 499 to have 500 people, and score is 498 to have 500 people.Then according to the score of 1000 people before or after batch line 500
Difference is 2.Since student does not know the ranking number in this year, the ranking of oneself and last year each score number are only known, score difference is
It is calculated on the basis of last year batch line available accurately as a result, to obtain accurate corresponding amendment score.
Step 22, the admission score for obtaining school's the first four years and corresponding batch line score calculate admission point in each year
Several and batch line score difference, obtains four differences Y4, Y3, Y2, Y1, asks first to be averaged 3 years wherein earliest differences
Value m1=(Y4+Y3+Y2)/3, then the first average value m1 difference Y1 for subtracting year is sought into the second average value m2=(m1-Y1)/3, it will
Second average value obtains amendment point difference N=Y1+m2 plus point difference of last year, and amendment point difference is calculated with last year batch score
Obtain last year school amendment acceptance cut-off point;According to the difference of weight, the influence of the data before last year is less than last year, therefore counts
After calculating the first four years point difference, removes the point poor of last year, first remove an average value, then the average value is compared again with fraction of the year difference is gone
The average value for acquiring an influence to last year, to going fraction of the year difference to be modified, the last year of available more satisfactory state is recorded
It takes score as reference, reduces because flocking together and enter oneself for the examination the deviation of bring acceptance cut-off point, and influence student and enter oneself for the examination judgement, improve
Student enters oneself for the examination accuracy.
The amendment score is subtracted last year school amendment acceptance cut-off point and obtains the first score difference by step 23, screens institute
There is the first score difference the school of (such as ± 10) and to be shown in a certain range, is selected for student.
Preferably, the step 30 further comprises:
Step 31, use based on profession when entering oneself for the examination mode, obtain last year and this year admits information and student point by examination
Number ranking informations, it is poor that enrollment in this year is compared with last year enrollment to obtain enrollment, poor according to enrollment
Corresponding score difference is modified student's score in this year, obtains and last year comparable amendment score;Wherein, score is corrected
Calculating is all made of following calculation: if more x people, the amendment score are the student point in this year to enrollment in this year compared with last year
Number adds the score difference of x people in this year, and otherwise, if enrollment in this year lacks x people compared with last year, the amendment score is in this year
Number estranged subtracts the score difference of x people in this year, and wherein the value of x is integer.
Step 32, the acceptance cut-off point that the amendment score of student is subtracted to wish professional last year obtain the second score difference, sieve
Select all second score differences in a certain range (such as ± 10) wish profession and be shown, for student select.
Preferably, the alternative school arranges from high to low according to score and shows student, selected for student;
The alternative profession arranges from high to low according to score shows student, selects for student.
As shown in Fig. 2, a kind of college entrance will fine system based on big data and artificial intelligence of the invention, including mode
Selecting module, school enter oneself for the examination module and profession enters oneself for the examination module;
The mode selection module, for selecting entering oneself for the examination mode or enter oneself for the examination mode based on profession based on school,
And input student's personal information, student's personal information include the source of students of student, intention province, score, subject, intention
School and intention profession;Based on school enter oneself for the examination mode under, the subject be unity and coherence in writing branch;Mould is being entered oneself for the examination based on profession
Under formula, the subject is curricula-variable subject;
Module is entered oneself for the examination by the school, for use selection based on school when entering oneself for the examination mode, according to last year and this year
Information is admitted by examination to be adjusted the score of student in this year, obtain with last year comparable amendment score, and according to the record over the years of school
It takes score line and the difference of corresponding batch line score to be adjusted last year school's acceptance cut-off point, obtains the amendment of last year school
The amendment score is subtracted school's amendment acceptance cut-off point and obtains the first score difference, screens all first points by acceptance cut-off point
Alternately school selects for student for the school of number difference in a certain range;
The profession enters oneself for the examination module, for use based on profession when entering oneself for the examination mode, according to admitting by examination for last year and this year
Information is adjusted the score of student in this year, obtain with last year comparable amendment score, the amendment score is subtracted into wish
The acceptance cut-off point of professional last year obtain the second score difference, screen the wish profession of all second score differences in a certain range and make
It is selected for alternative profession for student.
Preferably, the school enter oneself for the examination module further comprise student's score correction module, school's score correction module with
And school's screening module:
Student's score correction module, for use selection based on school when entering oneself for the examination mode, obtain last year and the present
Year admits information and student's score ranking information by examination, and enrollment in this year is compared with last year enrollment and is recruited student
Number is poor, is modified according to the corresponding score difference of enrollment difference to student's score in this year, obtains comparable repairing with last year
Positive score;Wherein, module is entered oneself for the examination by the school and the professional calculating for entering oneself for the examination the amendment score in module is all made of following calculating side
Formula: if more x people, the amendment score are that student's score in this year adds the score of x people in this year to enrollment in this year compared with last year
Difference, otherwise, if enrollment in this year lacks x people compared with last year, the amendment score is that student's score in this year subtracts x people's in this year
Score difference, wherein the value of x is integer.Because annual number difference is different, score difference can also adjust therewith.Such as the sheet one in this year
Enrollment is 11000 people, and one enrollment of last year sheet is 10000 people, and the batch line of last year is 500, according to the data of last year:
Score is 502 to have 400 people, 300 people that have that score is 501,300 people that have that score is 500, and score is 499 to have 500 people,
Score is 498 to have 500 people.It is then 2 according to the score difference of 1000 people before or after batch line 500.Since student does not know the present
The ranking number in year, only knows the ranking of oneself and last year each score number, score difference is calculated on the basis of last year batch line
It is available accurately as a result, to obtain accurate corresponding amendment score.
School's score correction module, for obtain school's the first four years admission score and corresponding batch line score,
Each year admission score and the difference of batch line score are calculated, four differences Y4, Y3, Y2, Y1 are obtained, to wherein earliest three
The difference in year seeks the first average value m1=(Y4+Y3+Y2)/3, then asks second to be averaged the first average value m1 difference Y1 for subtracting year
Second average value is obtained an amendment point difference Y0=Y1+m2 plus point difference of last year by value m2=(m1-Y1)/3, will amendment point difference and
Last year batch score carries out that last year school amendment acceptance cut-off point are calculated;Data according to the difference of weight, before last year
Influence be less than last year, therefore after calculating the first four years point difference, remove the point poor of last year, first remove an average value, then this is averaged
It is worth and goes fraction of the year difference to be compared to acquire the average value of an influence to last year again and can obtain to going fraction of the year difference to be modified
Last year admission score to more satisfactory state is used as reference, reduces because flocking together and enters oneself for the examination the deviation of bring acceptance cut-off point,
And influence student and enter oneself for the examination judgement, it improves student and enters oneself for the examination accuracy.
School's screening module obtains first for the amendment score to be subtracted last year school amendment acceptance cut-off point
Score difference screens all first score differences school in a certain range and is shown, selects for student.
Preferably, it further comprises student's score correction module and professional screening module that the profession, which enters oneself for the examination module:
Student's score correction module, for use based on profession when entering oneself for the examination mode, obtain last year and this year
It admits information and student's score ranking information by examination, enrollment in this year is compared to obtain enrollment with last year enrollment
Difference is modified student's score in this year according to the corresponding score difference of enrollment difference, obtains and last year comparable amendment point
Number;Wherein, module is entered oneself for the examination by the school and the professional calculating for entering oneself for the examination the amendment score in module is all made of following calculation: if
This year enrollment more x people compared with last year, then the amendment score is that student's score in this year adds the score difference of x people in this year, no
Then, if enrollment in this year lacks x people compared with last year, the amendment score is that student's score in this year subtracts the score of x people in this year
Difference, wherein the value of x is integer.
The profession screening module, the acceptance cut-off point for the amendment score of student to be subtracted wish professional last year obtain
Second score difference, the wish of all second score differences of screening in a certain range is professional and is shown, and selects for student.
Preferably, the alternative school arranges from high to low according to score and shows student, selected for student;
The alternative profession arranges from high to low according to score shows student, selects for student.
In one embodiment, entering oneself for the examination under mode based on school, the score of a Fujian Province student majored in liberal arts are 580, intention
When province is the whole nation, aforesaid way carries out the available following alternative school information such as the following table 1 institute of matching screening through the invention
Show.
Table 1
School | Score |
The Central University Of Finance and Economics | 588 |
Xiamen University | 588 |
Beijing Foreign Studies University | 586 |
East China Normal University | 582 |
Shanghai University of Foreign Languages | 580 |
University Of Tianjin | 579 |
Sichuan University | 576 |
For another example, entering oneself for the examination under mode based on profession, Fujian Province's student's score are 600, and intention profession is engineering, are learned
Section is physics, and unity and coherence in writing branch is literal arts (since the profession having only requires that meeting a subject can enter oneself for the examination, so being supplied to
The selection of raw 1-3 subjects, student need to select three Men Xueke in school), then the alternative profession obtained after being screened by matching
Information is as shown in table 2 below.
Table 2
Profession | School | Score |
Electrical Engineering and Its Automation | Wuhan University | 604 |
Electronic information class | Wuhan University | 604 |
Electrical Engineering and Its Automation | University Of Tianjin | 595 |
By being arranged, mode is entered oneself for the examination to the present invention by school and profession enters oneself for the examination mode, compatible entering oneself for the examination to unity and coherence in writing branch before the reform
With the entering oneself for the examination now of the curricula-variable section after reform, flexibly, for user's unrestricted choice, and by the way that the current score of student to be modified to
The score of last year is compared with last year admission score, and is modified to the score line of school's last year, and abnormal event is prevented
The problem of caused fractional deviation, obtains the information of the correspondence universities and colleges that can accurately enter oneself for the examination and corresponding profession, is student
More accurately reference frame, while data transparency is provided, can be improved admit universities and colleges by examination admit rate by examination.
Although specific embodiments of the present invention have been described above, those familiar with the art should be managed
Solution, we are merely exemplary described specific embodiment, rather than for the restriction to the scope of the present invention, it is familiar with this
The technical staff in field should be covered of the invention according to modification and variation equivalent made by spirit of the invention
In scope of the claimed protection.
Claims (10)
1. a kind of college entrance will accurate measurement method based on big data and artificial intelligence, characterized by the following steps:
Step 10, selection entering oneself for the examination mode or enter oneself for the examination mode based on profession based on school, and student's personal information is inputted,
Student's personal information include the source of students of student, intention province, score, subject, intention school and intention profession;To learn
Entering oneself for the examination under mode based on school, the subject are unity and coherence in writing branch;Based on profession enter oneself for the examination mode under, the subject be curricula-variable
Subject;
Step 20, use selection based on school when entering oneself for the examination mode, information is admitted by examination to student in this year according to last year and this year
Score be adjusted, obtain with last year comparable amendment score, and according to the acceptance cut-off point over the years of school and corresponding batch
The difference of secondary line score is adjusted last year school's acceptance cut-off point, obtains last year school amendment acceptance cut-off point, will be described
Amendment score subtracts school's amendment acceptance cut-off point and obtains the first score difference, screens all first score differences in a certain range
Alternately school selects for student for school;
Step 30, use based on profession when entering oneself for the examination mode, student in this year is divided according to the information of admitting by examination in last year and this year
Number is adjusted, obtain with last year comparable amendment score, the amendment score is subtracted to the admission score of wish professional last year
Line obtains the second score difference, and screening the wish profession of all second score differences in a certain range, alternately profession is selected for student
It selects.
2. a kind of college entrance will accurate measurement method based on big data and artificial intelligence according to claim 1, feature exist
In: the step 20 further comprises:
Step 21, use selection based on school when entering oneself for the examination mode, obtain last year and this year admits information and student point by examination
Number ranking informations, it is poor that enrollment in this year is compared with last year enrollment to obtain enrollment, poor according to enrollment
Corresponding score difference is modified student's score in this year, obtains and last year comparable amendment score;
Step 22, obtain school's the first four years admission score and corresponding batch line score, calculate each year admission score and
The difference of batch line score obtains four differences Y4, Y3, Y2, Y1, seeks the first average value m1 to 3 years wherein earliest differences
=(Y4+Y3+Y2)/3, then the first average value m1 difference Y1 for subtracting year is sought into the second average value m2=(m1-Y1)/3, by second
Average value obtains amendment point difference Y0=Y1+m2 plus point difference of last year, and amendment point difference calculate with last year batch score
Acceptance cut-off point are corrected to last year school;
The amendment score is subtracted last year school amendment acceptance cut-off point and obtains the first score difference by step 23, screens all the
One score difference school in a certain range is simultaneously shown, and selects for student.
3. a kind of college entrance will accurate measurement method based on big data and artificial intelligence according to claim 2, feature exist
In: the step 30 further comprises:
Step 31, use based on profession when entering oneself for the examination mode, obtain last year and this year admits information and student's score row by examination
Name information, it is poor that enrollment in this year is compared with last year enrollment to obtain enrollment, according to enrollment difference correspondence
Score difference student's score in this year is modified, obtain and last year comparable amendment score;
Step 32, the acceptance cut-off point that the amendment score of student is subtracted to wish professional last year obtain the second score difference, screen institute
There is the wish of the second score difference in a certain range professional and be shown, is selected for student.
4. a kind of college entrance will accurate measurement method based on big data and artificial intelligence according to claim 3, feature exist
In: the calculating of the amendment score in the step 21 and step 31 is all made of following calculation:
If more x people, the amendment score are that student's score in this year adds the score of x people in this year to enrollment in this year compared with last year
Difference, otherwise, if enrollment in this year lacks x people compared with last year, the amendment score is that student's score in this year subtracts x people's in this year
Score difference, wherein the value of x is integer.
5. a kind of college entrance will accurate measurement method based on big data and artificial intelligence according to claim 1, feature exist
In: the alternative school arranges from high to low according to score shows student, selects for student;
The alternative profession arranges from high to low according to score shows student, selects for student.
6. a kind of college entrance will fine system based on big data and artificial intelligence, it is characterised in that: including mode selection module,
Module is entered oneself for the examination by school and profession enters oneself for the examination module;
The mode selection module, for selecting entering oneself for the examination mode or enter oneself for the examination mode based on profession based on school, and it is defeated
Enter student's personal information, student's personal information include the source of students of student, intention province, score, subject, intention school and
Intention profession;Based on school enter oneself for the examination mode under, the subject be unity and coherence in writing branch;Mode is being entered oneself for the examination based on profession
Under, the subject is curricula-variable subject;
Module is entered oneself for the examination by the school, for use selection based on school when entering oneself for the examination mode, according to admitting by examination for last year and this year
Information is adjusted the score of student in this year, obtain with last year comparable amendment score, and according to school it is over the years admission point
The difference of number line and corresponding batch line score is adjusted last year school's acceptance cut-off point, obtains the amendment admission of last year school
The amendment score is subtracted school's amendment acceptance cut-off point and obtains the first score difference, screens all first score differences by score line
Alternately school selects for student for school in a certain range;
The profession enters oneself for the examination module, for use based on profession when entering oneself for the examination mode, information is admitted by examination according to last year and this year
The score of student in this year is adjusted, obtain with last year comparable amendment score, by the amendment score subtract wish profession
The acceptance cut-off point of last year obtain the second score difference, screen the wish profession of all second score differences in a certain range as standby
Choosing profession is selected for student.
7. a kind of college entrance will fine system based on big data and artificial intelligence according to claim 6, feature exist
In: it further comprises student's score correction module, school's score correction module and school's screening mould that module is entered oneself for the examination by the school
Block:
Student's score correction module, for use selection based on school when entering oneself for the examination mode, obtain last year and this year
It admits information and student's score ranking information by examination, enrollment in this year is compared to obtain enrollment with last year enrollment
Difference is modified student's score in this year according to the corresponding score difference of enrollment difference, obtains and last year comparable amendment point
Number;
School's score correction module, for obtain school's the first four years admission score and corresponding batch line score, calculate
Each year admission score and the difference of batch line score, obtained four differences Y4, Y3, Y2, Y1, to wherein earliest 3 years
Difference seeks the first average value m1=(Y4+Y3+Y2)/3, then the first average value m1 difference Y1 for subtracting year is sought the second average value m2
Second average value is obtained amendment point difference Y0=Y1+m2 plus point difference of last year, by amendment point difference and last year by=(m1-Y1)/3
Batch score carries out that last year school amendment acceptance cut-off point are calculated;
School's screening module obtains the first score for the amendment score to be subtracted last year school amendment acceptance cut-off point
Difference is screened all first score differences school in a certain range and is shown, selects for student.
8. a kind of college entrance will fine system based on big data and artificial intelligence according to claim 7, feature exist
In: it further comprises student's score correction module and professional screening module that the profession, which enters oneself for the examination module:
Student's score correction module, for use based on profession when entering oneself for the examination mode, obtain admitting by examination for last year and this year
Information and student's score ranking information, it is poor that enrollment in this year is compared with last year enrollment to obtain enrollment,
Student's score in this year is modified according to enrollment difference corresponding score difference, is obtained and last year comparable amendment score;
The profession screening module, the acceptance cut-off point for the amendment score of student to be subtracted wish professional last year obtain second
Score difference, the wish of all second score differences of screening in a certain range is professional and is shown, and selects for student.
9. a kind of college entrance will fine system based on big data and artificial intelligence according to claim 8, feature exist
In: module is entered oneself for the examination by the school and the professional calculating for entering oneself for the examination the amendment score in module is all made of following calculation:
If more x people, the amendment score are that student's score in this year adds the score of x people in this year to enrollment in this year compared with last year
Difference, otherwise, if enrollment in this year lacks x people compared with last year, the amendment score is that student's score in this year subtracts x people's in this year
Score difference, wherein the value of x is integer.
10. a kind of college entrance will fine system based on big data and artificial intelligence according to claim 1, feature exist
In: the alternative school arranges from high to low according to score shows student, selects for student;
The alternative profession arranges from high to low according to score shows student, selects for student.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110335185A (en) * | 2019-07-24 | 2019-10-15 | 黄河水利职业技术学院 | Higher education specialty structure adjustment early warning shows device |
CN110659313A (en) * | 2019-08-30 | 2020-01-07 | 山东耘智愿教育科技集团有限公司 | College entrance examination aspiration analysis system based on artificial intelligence |
CN112396210A (en) * | 2019-08-16 | 2021-02-23 | 搜狗(杭州)智能科技有限公司 | College entrance examination admission probability prediction method and device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103530703A (en) * | 2013-10-16 | 2014-01-22 | 上海远播教育科技有限公司 | Intelligent recommending system for filling parallel applications |
US20180052919A1 (en) * | 2016-08-22 | 2018-02-22 | Xinteractive Inc. | Systems and methods for conversion analytics |
CN108629713A (en) * | 2018-05-04 | 2018-10-09 | 上饶市普适科技有限公司 | A kind of method that artificial intelligence formulation college entrance will makes a report on scheme |
CN108647816A (en) * | 2018-05-04 | 2018-10-12 | 上饶市普适科技有限公司 | With the method for shelves difference method prediction colleges and universities profession admission point |
-
2018
- 2018-11-15 CN CN201811356738.6A patent/CN109598655A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103530703A (en) * | 2013-10-16 | 2014-01-22 | 上海远播教育科技有限公司 | Intelligent recommending system for filling parallel applications |
US20180052919A1 (en) * | 2016-08-22 | 2018-02-22 | Xinteractive Inc. | Systems and methods for conversion analytics |
CN108629713A (en) * | 2018-05-04 | 2018-10-09 | 上饶市普适科技有限公司 | A kind of method that artificial intelligence formulation college entrance will makes a report on scheme |
CN108647816A (en) * | 2018-05-04 | 2018-10-12 | 上饶市普适科技有限公司 | With the method for shelves difference method prediction colleges and universities profession admission point |
Non-Patent Citations (1)
Title |
---|
湘村小兰: "高考志愿怎么填?用线差法和排名法填写,赶紧看看!", 《HTTPS://BAIJIAHAO.BAIDU.COM/S?ID=1602703538754558760&WFR=SPIDER&FOR=PC》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110335185A (en) * | 2019-07-24 | 2019-10-15 | 黄河水利职业技术学院 | Higher education specialty structure adjustment early warning shows device |
CN112396210A (en) * | 2019-08-16 | 2021-02-23 | 搜狗(杭州)智能科技有限公司 | College entrance examination admission probability prediction method and device |
CN110659313A (en) * | 2019-08-30 | 2020-01-07 | 山东耘智愿教育科技集团有限公司 | College entrance examination aspiration analysis system based on artificial intelligence |
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