CN108053098A - A kind of school grade analysis method based on big data - Google Patents
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Abstract
The invention discloses a kind of school grade analysis methods based on big data, comprise the following steps：A, student is gathered to preserve in all knowledge points that some stage needs to be grasped some subject, input set R；B, the personal information of student and its current generation above total marks of the examination three times are gathered, are preserved in input set N；C, the score value of each small topic on every paper is gathered, is preserved in input set M；D, the score value shared by the knowledge point and each knowledge point that each small topic includes on every paper is gathered, is preserved in input set K；E, according to knowledge point information aggregate R, total marks of the examination information aggregate N, paper information aggregate M and knowledge point and the relation integration K of paper question number, each student is calculated in each examination to the scoring rate of each knowledge point.The present invention can accurately reflect grasp situation of the student to each subject knowledge point, and help student quickly improves learning efficiency and school grade.
Description
Technical field
The present invention relates to data analysis technique field more particularly to a kind of school grade analysis methods based on big data.
Background technology
The fast development of modern society's computer technology greatly facilitates the working and learning of people.It is led in education and instruction
Has there are a variety of application on site forms such as projection teaching, computer exam paper assessment, live broadcast teaching in domain.Wherein, with regard to computer exam paper assessment
For, the working strength of teacher is not only alleviated, but also facilitates the statistics of student examination achievement.Total marks of the examination are detection students
Attention rate to study and to knowledge point Grasping level most intuitively data, traditional teaching method, teacher can only generally unite
The general individual classification of student is counted, understands Grasping level of the student to this subject, and to numerous knowledge points, examination question and
It is raw, it is difficult to therefrom find one-to-one relationship, the profound effective information for being hidden in data behind can not be also excavated, and is utilized
These information carry out learning quality analysis, so as to student be helped to improve learning efficiency and school grade.
The content of the invention
It is an object of the invention to provide a kind of school grade analysis methods based on big data, can accurately reflect student
To the grasp situation of each subject knowledge point, help student quickly improves learning efficiency and school grade.
To achieve the above object, the technical solution adopted by the present invention is：
A kind of school grade analysis method based on big data, comprises the following steps：
A, knowledge point information aggregate R is established：Student is gathered in all knowledge points that some stage needs to be grasped some subject, it is defeated
Enter into preserving in set R, subsequently into step B；
B, total marks of the examination information aggregate N is established：The personal information of student and its current generation above total marks of the examination three times are gathered,
According to the paper that examination uses every time, score of each student to each small topic on every paper is gathered respectively, is inputted in set N
It is preserved, subsequently into step C；
C, paper information aggregate M is established：For the paper for use of taking an examination every time in step B, each small topic on every paper is gathered
Score value, preserved in input set M, subsequently into step D；
D, the relation integration K of knowledge point and paper question number is established：For the paper for use of taking an examination every time in step B, every is gathered
The score value shared by knowledge point and each knowledge point that each small topic includes on paper, inputs in set K and is preserved, then
Enter step E；
E, each student is calculated in each examination to the scoring rate of each knowledge point：According to corresponding paper and knowledge point, lead to
Inquiry knowledge point and the relation integration K of paper question number are crossed, obtains all small topics for including selected knowledge point in current paper；For
Each in current paper includes the small topic of selected knowledge point, according to the personal information of corresponding paper, small topic and student, passes through
Total marks of the examination information aggregate N is inquired about, score of the current student to current small topic is obtained, by inquiring about knowledge point and paper question number
Relation integration K calculates selected knowledge point accounts in current small topic score value and the small ratio for inscribing score value, by current student to current small
The score value and the ratio of small topic score value that the score of topic and selected knowledge point account for are multiplied, and product is as current student in current small topic
To the actual score of selected knowledge point, current student is added the actual score of selected knowledge point in all small topics, obtains
The score value that selected knowledge point accounts in all small topics is added, obtains the deserved score value summation in knowledge point by the actual score summation in knowledge point,
Current student is the actual score summation in knowledge point and the deserved score value in knowledge point to the scoring rate of selected knowledge point in current test
The ratio between summation.
In the step A, statistic is in all knowledge points that some stage needs to be grasped some subject, to each
Knowledge point is numbered and counts the Subject Appellation belonging to it, affiliated textbook title and affiliated section name, for each
Knowledge point is numbered in knowledge point, affiliated Subject Appellation, affiliated textbook title and affiliated section name form son as component
Set Ri, i=1,2,3 ... ... are sequentially input in the information aggregate R of knowledge point.
In the step B, the number of examining, name, affiliated arts and science type, affiliated class name and the institute of each student are counted
Belong to school's title, and the paper for use of being taken an examination every time student is numbered, and counts each student to each small on every paper
The score of topic tries student's number of examining, student name, affiliated arts and science type, affiliated class name, affiliated school's title, examination
The small topic question number of volume number, paper and small topic score form subclass Ni, i=1,2,3 ... ... as component, sequentially input and examine
It tries in performance information set N.
In the step C, the examination title taken an examination every time and test time are counted, for each examination, examination is tried
The small topic question number of volume number, examination title, paper, small topic score value and test time as component formation subclass Mi, i=1,
2,3 ... ..., it sequentially inputs in paper information aggregate M.
In the step D, the knowledge point that each small topic includes on every paper is counted, determines each knowledge point pair respectively
The knowledge point number answered and shared score value in small topic number examination paper, the small topic question number of paper, small topic score value, small topic
Comprising knowledge point number and knowledge point shared by score value as component formation subclass Ki, i=1,2,3 ... ..., successively
In Input knowledge point and the relation integration K of paper question number.
In the step E, when any one student of calculating obtains any one knowledge point in arbitrarily once taking an examination
When dividing rate, comprise the following steps：
E1, numbered according to corresponding examination paper number and knowledge point, by the relation integration for inquiring about knowledge point and paper question number
K obtains all small topic question numbers of the paper comprising selected knowledge point in current test paper, subsequently into step E2；
E2, the small topic that selected knowledge point is included for each in current test paper, according to corresponding examination paper number, examination
Small topic question number and student's number of examining is rolled up, by inquiring about total marks of the examination information aggregate N, obtains score of the current student to current small topic,
By inquiring about the relation integration K of knowledge point and paper question number, selected knowledge point accounts in current small topic score value and small topic point are calculated
The ratio of value, the ratio multiplication of score value and small topic score value that current student accounts for the score of current small topic and selected knowledge point,
Product as current student in current small topic to the actual score of selected knowledge point, by current student to institute in all small topics
The actual score of knowledge point is selected to be added, obtains the actual score summation in knowledge point, by the score value that selected knowledge point accounts in all small topics
It is added, obtains the deserved score value summation in knowledge point, current student is knowledge point to the scoring rate of selected knowledge point in current test
The ratio between actual score summation and the deserved score value summation in knowledge point, subsequently into step E3；
E3, corresponding examination paper number, knowledge point number, student's number of examining and knowledge point scoring rate are formed as component
Subclass Si, i=1,2,3 ... ... are sequentially input in the scoring rate set S of knowledge point.
Step F is further included, calculates each class and each school in each examination to the scoring rate of each knowledge point, when
Any one class is calculated when in arbitrarily once taking an examination to the scoring rate of any one knowledge point, according to corresponding class name
Claim, by inquiring about total marks of the examination information aggregate N, all student's numbers of examining and number of student for belonging to current class are obtained, according to right
Examination paper number, knowledge point number and the student's number of examining answered, by inquiring about knowledge point scoring rate set S, calculate current class
All students are to the scoring rate summation of selected knowledge point in current test, and current class is in current test to selected knowledge point
Scoring rate be the ratio between knowledge point scoring rate summation and current class's number of student；
When calculating any one school when in arbitrarily once taking an examination to the scoring rate of any one knowledge point, according to corresponding
School title by inquiring about total marks of the examination information aggregate N, obtains all student's numbers of examining and number of student for belonging to current school, root
According to corresponding examination paper number, knowledge point number and student's number of examining, by inquiring about knowledge point scoring rate set S, calculate current
All students of school are known in current test selected the scoring rate summation of selected knowledge point, current school in current test
The scoring rate for knowing point is the ratio between knowledge point scoring rate summation and current school's number of student.
Step G is further included, calculates each student in each examination to the scoring rate of each small topic, when calculating any one
Student comprises the following steps when in arbitrarily once taking an examination to the scoring rate of any one small topic；
G1, according to corresponding examination paper number, the small topic question number and student's number of examining of paper, by inquiring about total marks of the examination information aggregate
N obtains score of the current student to selected small topic in current test paper, subsequently into step G2；
G2, according to corresponding examination paper number and the small topic question number of paper, by inquiring about paper information aggregate M, acquisition is currently examined
The score value for the selected small topic in volume of having a try, current student is small topic score and small topic to the scoring rate of selected small topic in current test
The ratio between score value, subsequently into step G3；
G3, corresponding examination paper number, the small topic question number of paper, student's number of examining and small topic scoring rate are formed as component
Subclass Pi, i=1,2,3 ... ... are sequentially input in small topic scoring rate set P.
Step H is further included, each class and each school is calculated in each examination to the scoring rate of each small topic, works as meter
Any one class is calculated when in arbitrarily once taking an examination to the scoring rate of any one small topic, according to corresponding class name, is led to
Inquiry total marks of the examination information aggregate N is crossed, all student's numbers of examining and number of student for belonging to current class is obtained, is examined according to corresponding
The small topic question number of test sheet numbers, paper and student's number of examining are tried, by inquiring about small topic scoring rate set P, calculates all of current class
To the scoring rate summation of selected small topic in current test, current class is to the scoring rate of selected small topic in current test for life
Small topic the ratio between scoring rate summation and current class's number of student；
When calculating any one school when in arbitrarily once taking an examination to the scoring rate of any one small topic, according to corresponding school
Title by inquiring about total marks of the examination information aggregate N, obtains all student's numbers of examining and number of student for belonging to current school, according to
Corresponding examination paper number, the small topic question number of paper and student's number of examining, by inquiring about small topic scoring rate set P, calculate current learn
All students in school are to the scoring rate summation of selected small topic in current test, and current school is in current test to selected small topic
Scoring rate is small topic the ratio between scoring rate summation and current school's number of student.
Step I is further included, coverage rate of each knowledge point in each examination is calculated, chooses knowledge point information aggregate successively
A knowledge point in R is numbered according to corresponding examination paper number and knowledge point, by inquiring about knowledge point and paper question number
Relation integration K obtains the small topic number that selected knowledge point is included in current paper, selected knowledge point will be included in current paper
The number that small topic number occurs as selected knowledge point in current paper, when any one knowledge point of calculating is in current paper
Coverage rate when, the number of knowledge point according to selected by being determined knowledge point information aggregate R, then the coverage rate of selected knowledge point is selected
The ratio between number summation that the number that knowledge point occurs in current paper occurs with all knowledge points in current paper.
The present invention is obtained respectively by establishing knowledge point information aggregate R, total marks of the examination information aggregate N and paper information aggregate M
The knowledge point information that the knowledge point system, student individual's total marks of the examination and examination paper of certain subject is taken to include, then using knowing
Know point and the relation integration K of paper question number, based on each student in each examination to the score of each small topic, analysis student couple
The Grasping level of knowledge point and fluctuation situation, facilitate student to carry out accretion learning for weak link, it is fast to be conducive to student
Speed improves learning efficiency and school grade.
Further, the present invention belongs to the student of a class or a school together to knowledge point by statistics
Grasping level not only facilitates the teaching level that school manager grasps different teachers or different schools, is fully understood by teacher
With the teaching ability of school, and be conducive to teacher and carry out supplementary interpretation for the universal bad knowledge point of grasp situation, improve
Quality of instruction.
Further, the present invention using all the past examinations use paper, analyze examination question in knowledge point distribution situation with
And the coverage rate of each knowledge point, examination key points and difficulties preferably are provided for student, is conducive to student and is obtained in examination
Achievement.
Description of the drawings
Fig. 1 is the flow diagram of the present invention.
Specific embodiment
As shown in Figure 1, a kind of school grade analysis method based on big data of the present invention, comprises the following steps：
A, knowledge point information aggregate R is established：Student is gathered in all knowledge points that some stage needs to be grasped some subject, it is defeated
Enter into preserving in set R, subsequently into step B.
Specifically, acquisition student is in all knowledge points that some stage needs to be grasped some subject, to each knowledge point
It is numbered and counts the Subject Appellation belonging to it, affiliated textbook title and affiliated section name, for each knowledge point,
Knowledge point is numbered, affiliated Subject Appellation, affiliated textbook title and affiliated section name form subclass Ri as component,
I=1,2,3 ... ..., it sequentially inputs in the information aggregate R of knowledge point, stores in the form of a spreadsheet.Wherein, the affiliated chapter in knowledge point
Section name claims the architecture hierarchical statistics according to the chapters and sections, and it is smaller gradually to divide scope by the larger level-one section name of scope
Two level section name, three-level section name ..., until final stage section name is independent knowledge point title.
For example, when gathering the knowledge point that student needs to be grasped high school mathematics, for first subclass R1, by its knowledge
Point number is denoted as m1, and affiliated Subject Appellation is denoted as high school mathematics, and affiliated textbook title is denoted as mathematics required 1, affiliated section name
It is divided into two-stage, wherein level-one section name is denoted as set and function, and two level section name is denoted as set；For second subclass
Its knowledge point number is denoted as m2 by R2, and affiliated Subject Appellation is denoted as high school mathematics, and affiliated textbook title is denoted as mathematics required 1, institute
Belong to section name and be divided into two-stage, wherein level-one section name is denoted as set and function, and two level section name is denoted as function；For
Its knowledge point number is denoted as m3 by three subclass R3, and affiliated Subject Appellation is denoted as high school mathematics, and affiliated textbook title is denoted as number
Required 1 is learned, affiliated section name is divided into two-stage, and wherein level-one section name is denoted as basic elementary functions, two level section name note
For exponential function；And so on, until the A to Z of point of high school mathematics is completed in input.
B, total marks of the examination information aggregate N is established：Gather the personal information of student and its current generation above examination three times
Achievement according to the paper that examination uses every time, gathers score of each student to each small topic on every paper, input set respectively
It closes and is preserved in N, subsequently into step C.
Specifically, gather the number of examining of each student, name, affiliated arts and science type, affiliated class name and affiliated school
Title, and the paper for use of being taken an examination every time student is numbered, and gathers each student and each small topic on every paper is obtained
Point, by student's number of examining, student name, affiliated arts and science type, affiliated class name, affiliated school's title, examination paper number,
The small topic question number of paper and small topic score form subclass Ni, i=1,2,3 ... ... as component, sequentially input total marks of the examination
In information aggregate N, store in the form of a spreadsheet.
For example, for first subclass N1, student's number of examining is denoted as 1071140001, and student name is denoted as Zhang San, affiliated
Arts and science type is denoted as natural sciences, and affiliated class name is denoted as 3 classes of grade eight, affiliated school's title be denoted as He'nan University it is attached in
It learns, examination paper number is denoted as p1, and the small topic question number of paper is denoted as t1, and small topic score is denoted as 3 points；For second subclass N2,
Student's number of examining is denoted as 1071140001, and student name is denoted as Zhang San, and affiliated arts and science type is denoted as natural sciences, affiliated class name note
For 3 classes of grade eight, affiliated school's title is denoted as affiliated middle school of He'nan University, and examination paper number is denoted as p1, the small topic question number of paper
T2 is denoted as, small topic score is denoted as 3 points；For the 3rd subclass N3, student's number of examining is denoted as 1071140001, and student name is denoted as
Zhang San, affiliated arts and science type are denoted as natural sciences, and affiliated class name is denoted as 3 classes of grade eight, and it is big that affiliated school's title is denoted as Henan
Affiliated middle school is learned, examination paper number is denoted as p1, and the small topic question number of paper is denoted as t3, and small topic score is denoted as 5 points；And so on, directly
To the total marks of the examination information for having inputted all students.
C, paper information aggregate M is established：For the paper for use of taking an examination every time in step B, gather each on every paper
The score value of small topic is inputted in set M and preserved, subsequently into step D.Specifically, the examination title taken an examination every time of statistics and
For each examination, examination paper was numbered, title of take an examination, the small topic question number of paper, small inscribes score value and test time test time
Subclass Mi, i=1,2,3 ... ... are formed as component, is sequentially input in paper information aggregate M, with the shape of electrical form
Formula stores.
For example, for first subclass M1, examination paper number is denoted as p1, and examination title is denoted as 2017 autumn mathematics connection
It examines, the small topic question number of paper is denoted as t1, and small topic score value is denoted as 3 points, and the test time is denoted as in September, 2017；For second subclass
M2, examination paper number are denoted as p1, and examination title is denoted as 2017 autumn mathematics and holds examination jointly, and the small topic question number of paper is denoted as t2, small topic point
Value is denoted as 3 points, and the test time is denoted as in September, 2017；For the 3rd subclass M3, examination paper number is denoted as p1, name of taking an examination
Title is denoted as 2017 autumn mathematics and holds examination jointly, and the small topic question number of paper is denoted as t3, and small topic score value is denoted as 5 points, and the test time is denoted as 2017 9
Month；And so on, until having inputted the paper information of all examinations.
D, the relation integration K of knowledge point and paper question number is established：For the paper for use of taking an examination every time in step B, acquisition
The score value shared by knowledge point and each knowledge point that each small topic includes on every paper, inputs in set K and is preserved,
Subsequently into step E.
If the score value of this small topic is refine to each comprising two even more knowledge points in a small topic
Score value shared by knowledge point, preferably to analyze grasp situation of the student to each knowledge point.I.e. same small topic is collecting
Closing can repeat in K, represent this small topic and be made of different knowledge points, the sum of score value shared by different knowledge points is this
The score value of small topic.
Specifically, the knowledge point that each small topic includes on every paper of statistics, determines that each knowledge point is corresponding and knows respectively
Knowledge point number and shared score value in small topic number examination paper, the knowledge point that the small topic question number of paper, small topic include is compiled
Number, the score value shared by knowledge point and small topic score value as component formation subclass Ki, i=1,2,3 ... ..., sequentially input and know
Point is known in the relation integration K of paper question number, storing in the form of a spreadsheet.
For example, for first subclass K1, examination paper number is denoted as p1, and the small topic question number of paper is denoted as t1, small topic bag
The knowledge point number contained is denoted as m1, and the score value shared by knowledge point is denoted as 3 points, and small topic score value is denoted as 3 points；For the tenth subclass
K10, examination paper number are denoted as p1, and the small topic question number of paper is denoted as t10, and the small knowledge point number included of inscribing is denoted as m35, knowledge point
Shared score value is denoted as 4 points, and small topic score value is denoted as 12 points；K11 is closed for the tenth a subset, examination paper number is denoted as p1,
The small topic question number of paper is denoted as t10, and the small knowledge point number included of inscribing is denoted as m11, and the score value shared by knowledge point is denoted as 8 points, small topic
Score value is denoted as 12 points；And so on, until having counted, all papers are small to inscribe the knowledge point information included.
E, according to the relation integration K of knowledge point information aggregate R, total marks of the examination information aggregate N and knowledge point and paper question number,
Each student is calculated in each examination to the scoring rate of each knowledge point.It is arbitrarily once taking an examination when calculating any one student
In to the scoring rate of any one knowledge point when, comprise the following steps：
E1, numbered according to corresponding examination paper number and knowledge point, by the relation integration for inquiring about knowledge point and paper question number
K obtains all small topic question numbers of the paper comprising selected knowledge point in current test paper, subsequently into step E2.
E2, the small topic that selected knowledge point is included for each in current test paper are compiled according to corresponding examination paper
Number, the small topic question number and student's number of examining of paper, by inquiring about total marks of the examination information aggregate N, obtain current student to current small topic
Score, by inquiring about the relation integration K of knowledge point and paper question number, calculate selected knowledge point accounts in current small topic score value with it is small
The ratio of score value is inscribed, the score value that current student accounts for the score of current small topic with selected knowledge point and the small ratio phase for inscribing score value
Multiply, product as current student in current small topic to the actual score of selected knowledge point, by current student in all small topics
The actual score of selected knowledge point is added, the actual score summation in knowledge point is obtained, selected knowledge point in all small topics is accounted for
Score value is added, and obtains the deserved score value summation in knowledge point, and current student is to know to the scoring rate of selected knowledge point in current test
Point the ratio between actual score summation and the deserved score value summation in knowledge point are known, subsequently into step E3.
E3, using corresponding examination paper number, knowledge point number, student's number of examining and knowledge point scoring rate as component
Subclass Si, i=1,2,3 ... ... are formed, is sequentially input in the scoring rate set S of knowledge point.
For example, the tenth small topic t10 score values in paper P1 are 12 points, it is made of knowledge point m35 and knowledge point m11, wherein
Score value shared by the m35 of knowledge point is 4 points, and the score value shared by the m11 of knowledge point is 8 points, if student Zhang San is scored at 6 to this small topic
Point, then Zhang San in the tenth small topic t10 to the product for being actually scored at 6 and 4/12 of knowledge point m35, i.e., 2 points, if in paper P1
Only the tenth small topic t10 includes knowledge point m35, then the ratio that Zhang San is 2 and 4 to the scoring rate of knowledge point m35 in paper P1,
I.e. 1/2, if there is other small topics to include knowledge point m35 in paper P1, Zhang San is calculated successively and includes knowledge point m35's at other
To the actual score of knowledge point m35 in small topic, finally by Zhang San it is all comprising the small topic of knowledge point m35 in knowledge point m35
Actual score be added, obtain the actual score summation in knowledge point, score value shared in all small topics knowledge point m35 be added,
The deserved score value in knowledge point is obtained, the ratio between the actual score in knowledge point and the deserved score value in knowledge point as Zhang San are in paper P1 to knowledge
The scoring rate of point m35.
The present invention according to each student in each examination to the scoring rate of each knowledge point, existed by comparing each student
To the scoring rate of same knowledge point in once taking an examination, the otherness that each student grasps same knowledge point situation can be obtained；
By comparing a student in multiple examination to the scoring rate of each knowledge point, and expectation and variance are calculated, can reflect
The raw fluctuation situation to knowledge point Grasping level, convenient for student targetedly learning and mastering knowledge point in bad order, to carry
High learning efficiency and school grade.
F, each class and each school are calculated in each examination to the scoring rate of each knowledge point.It is any one when calculating
A class, according to corresponding class name, passes through inquiry when in arbitrarily once taking an examination to the scoring rate of any one knowledge point
Total marks of the examination information aggregate N obtains all student's numbers of examining and number of student for belonging to current class, according to corresponding examination paper
Number, knowledge point number and student's number of examining by inquiring about knowledge point scoring rate set S, calculate all students of current class and are working as
To the scoring rate summation of selected knowledge point in preceding examination, current class is to know to the scoring rate of selected knowledge point in current test
Know point the ratio between scoring rate summation and current class's number of student.
When calculating any one school when in arbitrarily once taking an examination to the scoring rate of any one knowledge point, according to correspondence
School's title, by inquiring about total marks of the examination information aggregate N, obtain all student's numbers of examining for belonging to current school and student people
Number according to corresponding examination paper number, knowledge point number and student's number of examining, by inquiring about knowledge point scoring rate set S, calculates
All students of current school are to the scoring rate summation of selected knowledge point in current test, and current school is in current test to institute
The scoring rate for selecting knowledge point is the ratio between knowledge point scoring rate summation and current school's number of student.
The present invention is by that using class and school as unit calculation knowledge point scoring rate, can reflect the entirety of teacher and school
Teaching level, and be conducive to teacher and carry out supplementary interpretation for the universal bad knowledge point of grasp situation, it improves the quality of teaching.
G, each student is calculated in each examination to the scoring rate of each small topic, when calculating any one student arbitrary
When in once taking an examination to the scoring rate of any one small topic, comprise the following steps；
G1, according to corresponding examination paper number, the small topic question number and student's number of examining of paper, by inquiring about total marks of the examination information aggregate
N obtains score of the current student to selected small topic in current test paper, subsequently into step G2；
G2, according to corresponding examination paper number and the small topic question number of paper, by inquiring about paper information aggregate M, acquisition is currently examined
The score value for the selected small topic in volume of having a try, current student is small topic score and small topic to the scoring rate of selected small topic in current test
The ratio between score value, subsequently into step G3；
G3, corresponding examination paper number, the small topic question number of paper, student's number of examining and small topic scoring rate are formed as component
Subclass Pi, i=1,2,3 ... ... are sequentially input in small topic scoring rate set P.
H, each class and each school are calculated in each examination to the scoring rate of each small topic, when calculating any one
Class, according to corresponding class name, is taken an examination when in arbitrarily once taking an examination to the scoring rate of any one small topic by inquiring about
Performance information set N obtains all student's numbers of examining and number of student for belonging to current class, is compiled according to corresponding examination paper
Number, the small topic question number and student's number of examining of paper, by inquiring about small topic scoring rate set P, calculate all students of current class current
To the scoring rate summation of selected small topic in examination, current class is small topic score to the scoring rate of selected small topic in current test
The ratio between rate summation and current class's number of student.
When calculating any one school when in arbitrarily once taking an examination to the scoring rate of any one small topic, according to corresponding
School's title by inquiring about total marks of the examination information aggregate N, obtains all student's numbers of examining and number of student for belonging to current school,
According to corresponding examination paper number, the small topic question number of paper and student's number of examining, by inquiring about small topic scoring rate set P, calculate and work as
Preceding all students of school are to the scoring rate summation of selected small topic in current test, and current school is in current test to selected small
The scoring rate of topic is small topic the ratio between scoring rate summation and current school's number of student.
I, coverage rate of each knowledge point in each examination is calculated, chooses one in the information aggregate R of knowledge point successively
Knowledge point is numbered according to corresponding examination paper number and knowledge point, by the relation integration for inquiring about knowledge point and paper question number
K obtains the small topic number that selected knowledge point is included in current paper, the small topic number of selected knowledge point will be included in current paper
As the number that selected knowledge point occurs in current paper, when coverage rate of any one knowledge point of calculating in current paper
When, the number of knowledge point according to selected by being determined knowledge point information aggregate R, then the coverage rate of selected knowledge point is that selected knowledge point exists
The ratio between number summation that the number occurred in current paper occurs with all knowledge points in current paper.
For example, for knowledge point m1, if in paper P1 in the first small topic t1, the 8th small small topic t20 of topic t8 and the 20th
Including knowledge point m1, then the number that knowledge point m1 occurs in paper P1 is 3 times；For knowledge point m2, if the 3rd in paper P1
Include knowledge point m2 in the small small topic t13 of topic t3 and the 13rd, then the number that knowledge point m2 occurs in paper P1 is 2 times；It is right
In knowledge point m3, if there is no any small topic to include knowledge point m3, the number that knowledge point m3 occurs in paper P1 in paper P1
For 0 time, and so on, until obtaining the number that all knowledge points in the information aggregate R of knowledge point occur in paper P1, then know
The number that coverage rates of the knowledge point m1 in paper P1 occurs for it in paper P1, i.e., 3 times, with all knowledge points in paper P1
The ratio between number summation of appearance.
The achievement that the present invention repeatedly takes an examination according to student analyzes grasp situation of the student to knowledge point, and for not
Same uses object, feeds back different analysis results.For school manager, by comparing class's knowledge point scoring rate and
Whole school's knowledge point scoring rate can grasp different schools, the teaching level of different class teachers, so as to understand the teaching industry of teacher
Business ability；For teacher, by comparing class's knowledge point scoring rate, class can be grasped integrally to the grasp journey of knowledge point
Degree, according to all previous scoring event of knowledge point, sums up the complexity of the knowledge point, is targetedly said for student
Solution, while according to the coverage rate of knowledge point, extract the significance level of each knowledge point of this subject, conveniently guide students in their studies；It is right
For student, self-assessment can be carried out by comparing personal knowledge point scoring rate, finds out to grasp and preferable and bad know
Know point, emphasis carries out looking into scarce mending-leakage, preferably improves learning efficiency and school grade.
Claims (10)
1. a kind of school grade analysis method based on big data, it is characterised in that：Comprise the following steps：
A, knowledge point information aggregate R is established：Student is gathered in all knowledge points that some stage needs to be grasped some subject, it is defeated
Enter into preserving in set R, subsequently into step B；
B, total marks of the examination information aggregate N is established：The personal information of student and its current generation above total marks of the examination three times are gathered,
According to the paper that examination uses every time, score of each student to each small topic on every paper is gathered respectively, is inputted in set N
It is preserved, subsequently into step C；
C, paper information aggregate M is established：For the paper for use of taking an examination every time in step B, each small topic on every paper is gathered
Score value, preserved in input set M, subsequently into step D；
D, the relation integration K of knowledge point and paper question number is established：For the paper for use of taking an examination every time in step B, every is gathered
The score value shared by knowledge point and each knowledge point that each small topic includes on paper, inputs in set K and is preserved, then
Enter step E；
E, each student is calculated in each examination to the scoring rate of each knowledge point：According to corresponding paper and knowledge point, lead to
Inquiry knowledge point and the relation integration K of paper question number are crossed, obtains all small topics for including selected knowledge point in current paper；For
Each in current paper includes the small topic of selected knowledge point, according to the personal information of corresponding paper, small topic and student, passes through
Total marks of the examination information aggregate N is inquired about, score of the current student to current small topic is obtained, by inquiring about knowledge point and paper question number
Relation integration K calculates selected knowledge point accounts in current small topic score value and the small ratio for inscribing score value, by current student to current small
The score value and the ratio of small topic score value that the score of topic and selected knowledge point account for are multiplied, and product is as current student in current small topic
To the actual score of selected knowledge point, current student is added the actual score of selected knowledge point in all small topics, obtains
The score value that selected knowledge point accounts in all small topics is added, obtains the deserved score value summation in knowledge point by the actual score summation in knowledge point,
Current student is the actual score summation in knowledge point and the deserved score value in knowledge point to the scoring rate of selected knowledge point in current test
The ratio between summation.
2. a kind of school grade analysis method based on big data as described in claim 1, it is characterised in that：The step
In A, statistic is numbered and united to each knowledge point in all knowledge points that some stage needs to be grasped some subject
Subject Appellation, affiliated textbook title and the affiliated section name belonging to it are counted, for each knowledge point, knowledge point is compiled
Number, affiliated Subject Appellation, affiliated textbook title and affiliated section name form subclass Ri, i=1,2 as component,
3 ... ..., it sequentially inputs in the information aggregate R of knowledge point.
3. a kind of school grade analysis method based on big data as claimed in claim 2, it is characterised in that：The step
In B, the number of examining, name, affiliated arts and science type, affiliated class name and the affiliated school's title of each student are counted, and to learning
The paper that examination uses raw every time is numbered, and counts score of each student to each small topic on every paper, student is examined
Number, student name, affiliated arts and science type, affiliated class name, affiliated school's title, examination paper number, paper small topic topic
Number and it is small topic score as component formation subclass Ni, i=1,2,3 ... ..., sequentially input total marks of the examination information aggregate N
In.
4. a kind of school grade analysis method based on big data as claimed in claim 3, it is characterised in that：The step
In C, the examination title taken an examination every time and test time are counted, for each examination, examination paper is numbered, title of take an examination, is tried
Small topic question number, small topic score value and test time are rolled up as component formation subclass Mi, i=1,2,3 ... ..., sequentially inputs examination
In volume information set M.
5. a kind of school grade analysis method based on big data as claimed in claim 4, it is characterised in that：The step
In D, count on every paper it is each it is small inscribe the knowledge point included, determine respectively the corresponding knowledge point number in each knowledge point and
Shared score value in small topic, examination paper is numbered, the small topic question number of paper, small topic score value, it is small inscribe the knowledge point number that includes and
Score value shared by knowledge point forms subclass Ki, i=1,2,3 ... ... as component, sequentially inputs knowledge point and is inscribed with paper
Number relation integration K in.
6. a kind of school grade analysis method based on big data as claimed in claim 5, it is characterised in that：The step
In E, when calculating any one student when in arbitrarily once taking an examination to the scoring rate of any one knowledge point, including following step
Suddenly：
E1, numbered according to corresponding examination paper number and knowledge point, by the relation integration for inquiring about knowledge point and paper question number
K obtains all small topic question numbers of the paper comprising selected knowledge point in current test paper, subsequently into step E2；
E2, the small topic that selected knowledge point is included for each in current test paper, according to corresponding examination paper number, examination
Small topic question number and student's number of examining is rolled up, by inquiring about total marks of the examination information aggregate N, obtains score of the current student to current small topic,
By inquiring about the relation integration K of knowledge point and paper question number, selected knowledge point accounts in current small topic score value and small topic point are calculated
The ratio of value, the ratio multiplication of score value and small topic score value that current student accounts for the score of current small topic and selected knowledge point,
Product as current student in current small topic to the actual score of selected knowledge point, by current student to institute in all small topics
The actual score of knowledge point is selected to be added, obtains the actual score summation in knowledge point, by the score value that selected knowledge point accounts in all small topics
It is added, obtains the deserved score value summation in knowledge point, current student is knowledge point to the scoring rate of selected knowledge point in current test
The ratio between actual score summation and the deserved score value summation in knowledge point, subsequently into step E3；
E3, corresponding examination paper number, knowledge point number, student's number of examining and knowledge point scoring rate are formed as component
Subclass Si, i=1,2,3 ... ... are sequentially input in the scoring rate set S of knowledge point.
7. a kind of school grade analysis method based on big data as claimed in claim 6, it is characterised in that：Further include step
F calculates each class and each school in each examination to the scoring rate of each knowledge point, exists when calculating any one class
When in arbitrarily once taking an examination to the scoring rate of any one knowledge point, according to corresponding class name, by inquiring about total marks of the examination
Information aggregate N obtains all student's numbers of examining and number of student for belonging to current class, according to corresponding examination paper number, knows
Know point number and student's number of examining, by inquiring about knowledge point scoring rate set S, calculate all students of current class in current test
To the scoring rate summation of selected knowledge point, current class is knowledge point score to the scoring rate of selected knowledge point in current test
The ratio between rate summation and current class's number of student；
When calculating any one school when in arbitrarily once taking an examination to the scoring rate of any one knowledge point, according to corresponding
School title by inquiring about total marks of the examination information aggregate N, obtains all student's numbers of examining and number of student for belonging to current school, root
According to corresponding examination paper number, knowledge point number and student's number of examining, by inquiring about knowledge point scoring rate set S, calculate current
All students of school are known in current test selected the scoring rate summation of selected knowledge point, current school in current test
The scoring rate for knowing point is the ratio between knowledge point scoring rate summation and current school's number of student.
8. a kind of school grade analysis method based on big data as claimed in claim 7, it is characterised in that：Further include step
G calculates each student in each examination to the scoring rate of each small topic, is arbitrarily once taking an examination when calculating any one student
In to the scoring rate of any one small topic when, comprise the following steps；
G1, according to corresponding examination paper number, the small topic question number and student's number of examining of paper, by inquiring about total marks of the examination information aggregate
N obtains score of the current student to selected small topic in current test paper, subsequently into step G2；
G2, according to corresponding examination paper number and the small topic question number of paper, by inquiring about paper information aggregate M, acquisition is currently examined
The score value for the selected small topic in volume of having a try, current student is small topic score and small topic to the scoring rate of selected small topic in current test
The ratio between score value, subsequently into step G3；
G3, corresponding examination paper number, the small topic question number of paper, student's number of examining and small topic scoring rate are formed as component
Subclass Pi, i=1,2,3 ... ... are sequentially input in small topic scoring rate set P.
9. a kind of school grade analysis method based on big data as claimed in claim 8, it is characterised in that：Further include step
H calculates each class and each school in each examination to the scoring rate of each small topic, and when calculating, any one class is in office
Meaning once take an examination in the scoring rate of any one small topic when, according to corresponding class name, by inquiring about total marks of the examination information
Set N obtains all student's numbers of examining and number of student for belonging to current class, small according to corresponding examination paper number, paper
Question number and student's number of examining are inscribed, by inquiring about small topic scoring rate set P, calculates all students of current class in current test to institute
The scoring rate summation of small topic is selected, current class for small topic scoring rate summation and works as the scoring rate of selected small topic in current test
The ratio between preceding class's number of student；
When calculating any one school when in arbitrarily once taking an examination to the scoring rate of any one small topic, according to corresponding school
Title by inquiring about total marks of the examination information aggregate N, obtains all student's numbers of examining and number of student for belonging to current school, according to
Corresponding examination paper number, the small topic question number of paper and student's number of examining, by inquiring about small topic scoring rate set P, calculate current learn
All students in school are to the scoring rate summation of selected small topic in current test, and current school is in current test to selected small topic
Scoring rate is small topic the ratio between scoring rate summation and current school's number of student.
10. a kind of school grade analysis method based on big data as claimed in claim 9, it is characterised in that：Further include step
Rapid I calculates coverage rate of each knowledge point in each examination, chooses a knowledge point in the information aggregate R of knowledge point successively,
According to corresponding examination paper number and knowledge point number, by inquiring about the relation integration K of knowledge point and paper question number, worked as
The small topic number of selected knowledge point is included in preceding paper, the small topic number of selected knowledge point will be included in current paper as selected by
The number that knowledge point occurs in current paper, when calculating coverage rate of any one knowledge point in current paper, according to
Knowledge point information aggregate R determines the number of selected knowledge point, then the coverage rate of selected knowledge point is tried for selected knowledge point currently
The ratio between number summation that the number occurred in volume occurs with all knowledge points in current paper.
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