CN104317825A - Method and system for quantitatively analyzing knowledge point - Google Patents
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Abstract
The invention relates to a method and a system for quantitatively analyzing a knowledge point. The system comprises a first knowledge point weight setting module, a second knowledge point weight setting module, a knowledge point standard score calculation module and a knowledge point estimating score calculation module, wherein the first knowledge point weight setting module is used for setting the weight of each knowledge point occupying the content of test questions; the second knowledge point weight setting module is used for setting the source weight of each knowledge point; the knowledge point standard score calculation module is used for calculating the standard score of each knowledge point; the knowledge point estimating score calculation module is used for calculating the knowledge point grasping condition of a student who is evaluated. The knowledge point standard score obtained by the student is calculated through the set knowledge point weight and by combining the answering result of the student, the knowledge point estimating score of the student is calculated, and an analyzing result which objectively reflects the knowledge point grasping condition of the student is obtained. Teaching quality of an education administration institution, a school and a teacher is improved under the assistance of the method and the system, and the student can better grasp the knowledge point.
Description
Technical field
This method relates to educational software development field, particularly in educational software development field for a kind of analytical approach of knowledge point data analysis and system.
Background technology
In education informationization construction field, more and more pay attention to the construction of various data analysis system, by data analysis, school can be helped, academics and students improves the quality of teaching, improve quality of instruction level.In present educational data analysis software, can realize carrying out data analysis to knowledge point.Current knowledge point analysis is all generally a kind of analysis of non-quantized, data analysis cannot be provided by the technological means quantized, and the analysis of knowledge point can only for certain once examination activity, knowledge point repeatedly between examination cannot be analyzed, because different examination, there is the problem that difficulty is different or other various parameters are different in different paper, cannot realize grasping to student knowledge point the quantitative analysis that situation carries out continuation.For above-mentioned technical matters, the invention provides a kind of system of carrying out quantitative analysis for knowledge point, solve above-mentioned knowledge point data analysis problems.
Summary of the invention
The present invention be solve during existing knowledge point is analyzed exist quantitatively knowledge point can not be analyzed and dynamically knowledge point not analyzed by repeatedly taking an examination and can only to certain once examination activity analyze, a kind of knowledge point quantitative analysis system and method is proposed.
The technical scheme that the present invention solves the problems of the technologies described above is as follows:
A kind of knowledge point quantitative analysis method, detailed process comprises:
Obtain each knowledge point data that the examination question that set comprises in a database, and the weight that each knowledge point accounts for this contents of test question is set is designated as X power; In a database according to the source, knowledge point that dissimilar examination obtains, the weight arranging source, each knowledge point is designated as Y power; By choosing each knowledge point X flexible strategy certificate arranged in certain road examination question actual score achievement of student to be detected and this examination question, calculating each knowledge point standard scores and being designated as S; Weigh according to knowledge point standard scores S and Y, the knowledge point of renewal is evaluated achievement and is designated as V
n, achievement: V is evaluated in the knowledge point utilizing formulae discovery to upgrade
n=S × Y+V
n-1× (100%-Y); Wherein, n is natural number, and achievement initial value V is evaluated in knowledge point
0=500, V
n-1for current knowledge point evaluates achievement.
Preferably, described knowledge point standard scores S calculation procedure comprises: the examination question achievement data inquiring about student to be detected in a database, and obtain the knowledge point X flexible strategy certificate arranged in this examination question, pass through formula: the real score=examination question achievement × knowledge point X in knowledge point weighs, the real score of calculation knowledge point; The all real score that in Query Database, this knowledge point obtains in all the past examinations, calculates knowledge point primary standard and divides;
Divide through set formula to the primary standard of trying to achieve: knowledge point standard scores=knowledge point primary standard divides × and 100+500 carries out linear transformation, obtains knowledge point standard scores.
Preferably, described knowledge point quantization method also comprises: arrange knowledge point system in a database, arranges the weight that each knowledge point of lower floor accounts for knowledge point, upper strata and is designated as Z power;
Evaluate achievement and Z power by lower floor knowledge point, utilize knowledge point, following formulae discovery upper strata to evaluate achievement:
Knowledge point, upper strata evaluates the Z evaluating achievement × knowledge point 3 in the Z power+lower floor knowledge point 3 evaluating achievement × knowledge point 2 in the Z power+lower floor knowledge point 2 evaluating achievement × knowledge point 1 in achievement=lower floor knowledge point 1 and weighs+... + lower floor knowledge point m evaluates the Z power of achievement × knowledge point m, wherein, m is positive integer.
Preferably, the span of described X power is: be greater than 0% and be less than or equal to 100%, and in examination question, the summation of the X power of all knowledge points is 100%; The span of described Y power is: be greater than 0% and be less than 100%; The span of the Z power arranged in described 3rd knowledge point weight setting module is: be greater than 0% and be less than or equal to 100%, for belonging to same knowledge point and the identical all sub-knowledge point Z of level weighs sum is 100%.
A kind of knowledge point quantitative analysis system, comprises the first knowledge point weight setting module, the second knowledge point weight setting module, knowledge point standard scores computing module, knowledge point evaluation achievement computing module;
Described first knowledge point weight setting module, for obtaining each knowledge point data that the examination question that set comprises in a database, and arranges the weight that each knowledge point accounts for this examination question and is designated as X power;
Described second knowledge point weight setting module, for the source, knowledge point obtained according to dissimilar examination in a database, the weight arranging source, each knowledge point is designated as Y power;
Described knowledge point standard scores computing module, for each knowledge point X flexible strategy certificate arranged in certain the road examination question actual score achievement by choosing student to be detected and this examination question, calculating each knowledge point standard scores and being designated as S;
Achievement computing module is evaluated in described knowledge point, and for weighing according to knowledge point standard scores S and Y, the knowledge point of renewal is evaluated achievement and is designated as V
n, achievement: V is evaluated in the knowledge point utilizing formulae discovery to upgrade
n=S × Y+V
n-1× (100%-Y); Wherein, n is natural number, and achievement initial value V is evaluated in knowledge point
0=500, V
n-1for current knowledge point evaluates achievement.
Preferably, described knowledge point quantitative analysis system specifically also comprises the 3rd knowledge point weight setting module and knowledge point evaluation achievement summarizing module:
Described 3rd knowledge point weight setting module, for arranging knowledge point system in a database, arranging the weight that each knowledge point of lower floor accounts for knowledge point, upper strata and being designated as Z power;
Achievement summarizing module is evaluated in described knowledge point, for being evaluated achievement and Z power by lower floor knowledge point, utilizes knowledge point, following formulae discovery upper strata to evaluate achievement:
Knowledge point, upper strata evaluates the Z evaluating achievement × knowledge point 3 in the Z power+lower floor knowledge point 3 evaluating achievement × knowledge point 2 in the Z power+lower floor knowledge point 2 evaluating achievement × knowledge point 1 in achievement=lower floor knowledge point 1 and weighs+... + lower floor knowledge point m evaluates the Z power of achievement × knowledge point m, wherein, m is positive integer.
Preferably, the span of the X power arranged in described first knowledge point weight setting module is: be greater than 0% and be less than or equal to 100%, and in examination question, the summation of the X power of all knowledge points is 100%; The Y arranged in described second knowledge point weight setting module weighs span: be greater than 0% and be less than 100%; The span of the Z power arranged in described 3rd knowledge point weight setting module is: be greater than 0% and be less than or equal to 100%, for belonging to same knowledge point and the identical all sub-knowledge point Z of level weighs sum is 100%.
The invention has the beneficial effects as follows:
(1) by knowledge-ID weight in setting data storehouse, adopt standard scores technology, in conjunction with source, knowledge point weight Y power, by formula: knowledge point is evaluated achievement=knowledge point standard scores × Y+ and had knowledge point evaluation achievement × (100%-Y), current knowledge point can be obtained and evaluate achievement, compare current can only analyzing certain total marks of the examination, the method can dynamically analyze student to the grasp situation of knowledge point by repeatedly taking an examination, and is a kind of quantitative analysis result.
(2) Z by arranging in the system of knowledge point weighs and achievement summarizing module is evaluated in knowledge point, indirectly can obtain knowledge point, upper strata and evaluate achievement, this addresses the problem in daily examination and can only investigate lower floor knowledge point, thus the problem that situation is grasped in knowledge point, upper strata cannot be directly acquainted with.
Accompanying drawing explanation
Fig. 1 is a kind of knowledge point quantization method main flow figure of the embodiment of the present invention one;
Fig. 2 is a kind of knowledge point quantization method overview flow chart of the embodiment of the present invention one;
Fig. 3 is a kind of knowledge point quantization system main modular block diagram of the embodiment of the present invention two;
Fig. 4 is a kind of knowledge point quantization system general module block diagram of the embodiment of the present invention two.
In attached body, the module list representated by each label is as follows:
201, the first knowledge point weight setting module, 202, the second knowledge point weight setting module, 203 knowledge point standard scores computing modules, 204, knowledge point evaluates achievement computing module, 205, the 3rd knowledge point weight setting module, 206, knowledge point evaluates achievement summarizing module.
Embodiment
Be described principle of the present invention and feature below in conjunction with accompanying drawing, example, only for explaining the present invention, is not intended to limit scope of the present invention.
Embodiment one, a kind of knowledge point quantitative analysis method.Below in conjunction with Fig. 1, method provided by the invention is described in detail.
In Fig. 1, S101, obtain each knowledge point data that the examination question that sets in advance comprises in a database, and the weight that each knowledge point accounts for this contents of test question is set is designated as X power.
Concrete, in a database, the examination question tables of data t_topic that knowledge-ID and each knowledge point account for the X power of this examination question is set.As shown in table 1, topic_id field is examination question numbering, and topic_name field is examination question title, and kd field is knowledge point, and kd_w field preserves knowledge point X weights.Suppose there are three road examination questions, be respectively examination question 1, examination question 2, wherein examination question 1 comprises a, b two knowledge points, as examination question 1 comprises sin and equilateral triangle two knowledge points, teacher is according to personal experience, arrange in a database weight that each knowledge point accounts for examination question 1 content be respectively 60% and 40%, a and b weight sum be 100%; Examination question 2 only comprises knowledge point d, as examination question 2 only comprises Pythagorean theorem, therefore its to account for knowledge point weight be 100%.Table 1 is examination question tables of data t_topic.
Table 1
| topic_id | topic_name | kd | kd_w |
| sx_001 | Examination question 1 | a | 60％ |
| sx_001 | Examination question 1 | b | 40％ |
| sx_002 | Examination question 2 | d | 100％ |
Originate in S102, the knowledge point obtained according to dissimilar examination in a database, the weight arranging source, each knowledge point is designated as Y power.
Concrete, the Y power of often kind of classification is set in the achievement access approaches grouped data table t_from of knowledge point.As shown in table 2, from_id is origin classification numbering, and from_name is origin classification title, and kd_w_y saves the weight of separate sources classification, i.e. Y power.In test item bank any problem can by draw become the whole district adjust examine, school-based examinations, quiz and operation a part.But, the knowledge point achievement that operation obtains does not have quiz important, the knowledge point achievement that quiz obtains does not have school-based examinations important, the knowledge point achievement that school-based examinations obtains does not have whole district's tune to examine important, i.e. the approach difference of each total marks of the examination owing to obtaining, and shared component is also different, hypothesis is 20% with operation Y power in the knowledge point available sources of examination question herein, quiz Y power is 30%, and school-based examinations Y power is 60%, and the whole district adjusts and examines Y power is 80%.As can be seen here, the span of Y power is less than 100% for being greater than 0%.Table 2 is knowledge point derived data table t_from.
Table 2
| from_id | from_name | kd_w_y |
| 01 | The whole district adjusts and examines | 80％ |
| 02 | School-based examinations | 60％ |
| 03 | Quiz | 30％ |
| 04 | Operation | 20％ |
S103, by choosing each knowledge point X flexible strategy certificate arranged in certain road examination question actual score achievement of student to be detected and this examination question, calculating each knowledge point standard scores and being designated as S.
Concrete, calculation knowledge point standard scores S concrete steps comprise:
First the obtained score inquiring about examination question 1 in examination question score data storehouse is according to being 15 points, and in examination question tables of data t_topic, inquire the X power that examination question 1 comprises knowledge point a is 60%, then the actual 15 × 60%=9 that must be divided into of knowledge point a divides.
Then in score data storehouse, knowledge point, all score data of knowledge point a in examination question 1 is inquired, and in this, as the sample range of calculation knowledge point a standard scores.Suppose that sample range is [0,1.2,3,6,6.6,7.2,9,12,9] herein, calculate average mark and the standard deviation of sample range: according to formula
calculating is equally divided into 6 points, according to formula
calculating standard deviation is 3.71; Divide=(original point-average mark)/standard deviation by the primary standard of formulae discovery knowledge point a, because the actual of examination question 1 knowledge point a must be divided into 9 points, therefore the primary standard of knowledge point a is divided into 0.81.
Finally, for ease of calculating, needing to divide by linear transformation formula to the primary standard of this knowledge point: standard scores S=knowledge point, knowledge point primary standard divides × and 100+500 changes, and the S obtaining knowledge point a is 581.
The S calculated is saved in database, evaluates achievement V at calculation knowledge point
ntime, these data will be used.
S104, weigh according to knowledge point standard scores S and Y, the knowledge point of renewal is evaluated achievement and is designated as V
n, achievement: V is evaluated in the knowledge point utilizing formulae discovery to upgrade
n=S × Y+V
n-1× (100%-Y); Wherein, n is natural number, and achievement initial value V is evaluated in knowledge point
0=500, V
n-1for current knowledge point evaluates achievement.Concrete, achievement V is evaluated in knowledge point
nbe different from knowledge point standard scores S, S obtains through linear transformation according to practical intelligence point total marks of the examination, and V
nit is exactly the standard that situation is grasped in a measurement knowledge point quantized.Suppose that this knowledge point adjusts to examine by the whole district to obtain, in the knowledge point achievement access approaches sorted table t_from of database, inquire the whole district adjust the Y power examined to be 80%, evaluating in knowledge point and inquiring the nearest value of knowledge point a standard scores in achievement storehouse is 581 points.Then pass through formula: V
n=S × Y+V
n-1× (100%-Y), because achievement initial value V is evaluated in knowledge point
0=500, substitute into formula and obtain V
n=581 × 80%+500 × (100%-80%)=564.8.Achievement V is evaluated in the knowledge point of the knowledge point a calculated
1=564.8 are saved in database, and achievement original value V is evaluated in the knowledge point of replacing knowledge point a
0=500, become the current V of knowledge point a
n, by that analogy, the up-to-date V at every turn obtained
ncapital directly covers the knowledge point that the last time calculates and evaluates achievement V
n-1.
In knowledge point quantitative analysis method, in order to evaluate achievement V by lower floor knowledge point
ncalculate knowledge point, upper strata and evaluate achievement V
nalso need following two steps, as shown in Figure 2:
S105, in a database knowledge point system to be arranged, the weight that each knowledge point of lower floor accounts for knowledge point, upper strata is set and is designated as Z power.
Concrete, in a database, be provided with the Z power that lower floor knowledge point accounts for knowledge point, upper strata.As shown in table 3, wherein, kd field is knowledge point, and kd_d field is the hierachy number of knowledge point, and kd_p records the knowledge point, upper strata of current knowledge point ownership.Kd_w_z field saves the weight that current knowledge point accounts for knowledge point, upper strata, i.e. Z power.Have A, B two knowledge points under supposing knowledge point P, the weight respectively accounting for knowledge point P is 35%, 65%.Have again 3 sub-knowledge points under the A of knowledge point, be respectively a, b, c, as contained sin, cos, tan under trigonometric function, the weight respectively accounting for knowledge point A is 30%, 30%, 40%, and its summation is 100%; Also have two sub-knowledge points under the B of knowledge point, be respectively d and e, the weight respectively accounting for knowledge point B is 40%, 60%, and its summation is also 100%.Table 3 is knowledge point system tables of data t_know.
Table 3
| kd | kd_d | kd_p | kd_w_z |
| P | 1 | ? | ? |
| A | 2 | P | 35％ |
| a | 3 | A | 30％ |
| b | 3 | A | 30％ |
| c | 3 | A | 40％ |
| B | 2 | P | 65％ |
| d | 3 | B | 40％ |
| e | 3 | B | 60％ |
S106, evaluate achievement and Z power by lower floor knowledge point, calculate knowledge point, upper strata and evaluate achievement.
Concrete, evaluate in knowledge point in achievement storehouse, inquiry obtains knowledge point a, the V of b, c
nbe respectively: 564.8,570,561.9.In the system tables of data of knowledge point, inquiry obtains knowledge point a, and the weight that b, c account for knowledge point A is respectively: 30%, and 30%, 40%.Be updated to aggregation formulas can obtain: knowledge point trigonometric function V
nthe V of=knowledge point a
nthe V of the Z power+knowledge point b of × knowledge point a
nthe V of the Z power+knowledge point c of × knowledge point b
nthe Z of × knowledge point c weighs=564.8 × 30%+570 × 30%+561.9 × 40%=565.2, and namely achievement V is evaluated in the knowledge point of knowledge point A
nbe 565.2.
Embodiment two: a kind of knowledge point quantitative analysis system, elaborates to system provided by the invention below in conjunction with Fig. 3.
In Fig. 3, the first knowledge point weight setting module 201, for obtaining each knowledge point data that the examination question that set comprises in a database, and arranges the weight that each knowledge point accounts for this contents of test question and is designated as X power.
Concrete, the first knowledge point weight setting module 201 arranges the X power that knowledge-ID and each knowledge point account for this examination question in database examination question tables of data t_topic.As shown in table 1, topic_id field is examination question numbering, and topic_name field is examination question title, and kd field is knowledge point, and kd_w field preserves knowledge point X weights.Suppose there is twice examination question, be respectively examination question 1, examination question 2, wherein examination question 1 comprises a, b two knowledge points, as examination question 1 comprises sin and equilateral triangle two knowledge points, teacher is according to personal experience, arrange in a database weight that each knowledge point accounts for examination question 1 content be respectively 60% and 40%, a and b weight sum be 100%; Examination question 2 only comprises knowledge point d, as examination question 2 only comprises Pythagorean theorem, therefore its to account for knowledge point weight be 100%.
Second knowledge point weight setting module 202, for the source, knowledge point obtained according to dissimilar examination in a database, the weight arranging source, each knowledge point is designated as Y power.
Concrete, the second knowledge point weight setting module 202 arranges the Y power of often kind of classification in the achievement access approaches grouped data table t_from of knowledge point.As shown in table 2, from_id is origin classification numbering, and from_name is origin classification title, and kd_w_y saves the weight of separate sources classification, i.e. Y power.In test item bank any problem can by draw become the whole district adjust examine, school-based examinations, quiz and operation a part.But, the knowledge point achievement that operation obtains does not have quiz important, the knowledge point achievement that quiz obtains does not have school-based examinations important, the knowledge point achievement that school-based examinations obtains does not have whole district's tune to examine important, i.e. the approach difference of each total marks of the examination owing to obtaining, and shared component is also different, hypothesis is 20% with operation Y power in the knowledge point available sources of examination question herein, quiz Y power is 30%, and school-based examinations Y power is 60%, and the whole district adjusts and examines Y power is 80%.As can be seen here, the span of Y power is less than 100% for being greater than 0%.
Knowledge point standard scores computing module 203, for each knowledge point X flexible strategy certificate arranged in certain the road examination question actual score achievement by choosing student to be detected and this examination question, calculating each knowledge point standard scores and being designated as S.
Concrete, also have in knowledge point standard scores computing module 203 and obtain subdivision, primary standard subdivision and converting unit in fact.
The X power 60% of the knowledge point a that the obtained score of the examination question 1 inquired is comprised according to 15 points and the examination question 1 that inquires from examination question tables of data t_topic, input real subdivision, the actual 15 × 60%=9 that must be divided into trying to achieve knowledge point a divides.
The all score datas of knowledge point a in examination question 1 are inquired in score data storehouse, knowledge point, and in this, as the sample range of calculation knowledge point a standard scores.Suppose that sample range is [0,1.2,3,6,6.6,7.2,9,12,9] herein, primary standard subdivision is by the average mark by calculating sample range and standard deviation, and the primary standard finally calculating knowledge point a is divided: according to formula
calculating is equally divided into 6 points, according to formula
calculating standard deviation is 3.71; Divide=(original point-average mark)/standard deviation by the primary standard of formulae discovery knowledge point a, because the actual of examination question 1 knowledge point a must be divided into 9 points, therefore the primary standard of knowledge point a is divided into 0.81.
The primary standard obtained is divided 0.81 via converting unit by linear transformation formula: standard scores S=knowledge point, knowledge point primary standard divides × and 100+500 changes, and obtains the S581 of knowledge point a.
The S calculated is saved in database, evaluates achievement V at calculation knowledge point
ntime, these data will be used.
Achievement computing module 204 is evaluated in knowledge point, and for weighing according to knowledge point standard scores S and Y, the knowledge point of renewal is evaluated achievement and is designated as V
n, achievement: V is evaluated in the knowledge point utilizing formulae discovery to upgrade
n=S × Y+V
n-1× (100%-Y); Wherein, n is natural number, and achievement initial value V is evaluated in knowledge point
0=500, V
n-1for current knowledge point evaluates achievement.
Concrete, achievement V is evaluated in knowledge point
nbe different from knowledge point standard scores S, S obtains through linear transformation according to practical intelligence point total marks of the examination, and achievement V is evaluated in knowledge point
nit is exactly the standard that situation is grasped in a measurement knowledge point quantized.Suppose that this knowledge point adjusts to examine by the whole district to obtain, in the knowledge point achievement access approaches sorted table t_from of database, inquire the whole district adjust the Y power examined to be 80%, evaluating in knowledge point and inquiring the nearest value of knowledge point a standard scores in achievement storehouse is 581 points.The Y inquired in database power and knowledge point a standard scores are input to knowledge point and evaluate achievement computing module 204, pass through formula: V
n=S × Y+V
n-1× (100%-Y), because achievement initial value V is evaluated in knowledge point
0=500, substitute into formula and obtain V
n=581 × 80%+500 × (100%-80%)=564.8.Achievement V is evaluated in the knowledge point of the knowledge point a calculated
1=564.8 are saved in database, replace knowledge point a original value V
0=500, the current knowledge point becoming knowledge point a evaluates achievement, and by that analogy, the up-to-date knowledge point at every turn obtained evaluates achievement V
ncapital directly covers the knowledge point that the last time calculates and evaluates achievement V
n-1.
Knowledge point quantitative analysis system also comprises: achievement summarizing module 206 is evaluated in the 3rd knowledge point weight setting module 205 and knowledge point, and major function realizes evaluating achievement by lower floor knowledge point to calculate knowledge point, upper strata evaluation achievement, as shown in Figure 4.
3rd knowledge point weight setting module 205, for arranging knowledge point system in a database, arranging the weight that each knowledge point of lower floor accounts for knowledge point, upper strata and being designated as Z power.
Concrete, the 3rd knowledge point weight setting module 205 is provided with the Z power that lower floor knowledge point accounts for knowledge point, upper strata in the system tables of data t_know of database knowledge point.As shown in table 3, kd field is knowledge point, and kd_d field is the hierachy number of knowledge point, and kd_p records the knowledge point, upper strata of current knowledge point ownership.Kd_w_z field saves the weight that current knowledge point accounts for knowledge point, upper strata, i.e. Z power.Have A, B two knowledge points under supposing knowledge point P, the weight respectively accounting for knowledge point P is 35%, 65%.Have again 3 sub-knowledge points under A, be respectively a, b, c, as contained sin, cos, tan under trigonometric function, the weight respectively accounting for knowledge point A is 30%, 30%, 40%, and its summation is 100%; Also have two sub-knowledge points under B, be respectively d and e, the weight respectively accounting for knowledge point B is 40%, 60%, and its summation is also 100%.Achievement summarizing module 206 is evaluated in knowledge point, for being evaluated achievement and Z power by lower floor knowledge point, calculates knowledge point, upper strata and evaluates achievement.
Concrete, evaluate in knowledge point in achievement storehouse, inquiry obtains knowledge point a, the V of b, c
nbe respectively: 564.8,570,561.9.In the system tables of data of knowledge point, inquiry obtains knowledge point a, and the weight that b, c account for knowledge point A is respectively: 30%, and 30%, 40%.The parameters of acquisition is updated to aggregation formulas and can obtains by knowledge point evaluation achievement summarizing module 206: knowledge point trigonometric function V
nthe V of=knowledge point a
nthe V of the Z power+knowledge point b of × knowledge point a
nthe V of the Z power+knowledge point c of × knowledge point b
nthe Z of × knowledge point c weighs=564.8 × 30%+570 × 30%+561.9 × 40%=565.2, and namely summarizing module obtains the knowledge point evaluation achievement V of knowledge point A
nbe 565.2.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. a knowledge point quantitative analysis method, is characterized in that, comprising:
S101, obtain each knowledge point data that the examination question that set comprises in a database, and the weight that each knowledge point accounts for this contents of test question is set is designated as X power;
Originate in S102, the knowledge point obtained according to dissimilar examination in a database, the weight arranging source, each knowledge point is designated as Y power;
S103, by choosing each knowledge point X flexible strategy certificate arranged in certain road examination question actual score achievement of student to be detected and this examination question, calculating each knowledge point standard scores and being designated as S;
S104, to refresh one's knowledge according to knowledge point standard scores S and Y power and evaluate an achievement and be designated as V
n, computing formula is as follows,
V
n＝S×Y+V
n-1×(100％-Y)；
Wherein, n is natural number, and achievement initial value V is evaluated in knowledge point
0=500, V
n-1for current knowledge point evaluates achievement.
2. knowledge point quantitative analysis method according to claim 1, it is characterized in that, described knowledge point standard scores S calculation procedure comprises:
Inquire about the examination question achievement data of student to be detected in a database, and obtain the knowledge point X flexible strategy certificate arranged in this examination question, pass through formula: the real score=examination question achievement × knowledge point X in knowledge point weighs, the real score of calculation knowledge point; The all real score that in Query Database, this knowledge point obtains in all the past examinations, calculates knowledge point primary standard and divides;
Divide through set formula to the primary standard of trying to achieve: knowledge point standard scores=knowledge point primary standard divides × and 100+500 carries out linear transformation, obtains knowledge point standard scores.
3. knowledge point quantitative analysis method according to claim 1, is characterized in that, also comprise:
In a database knowledge point system is arranged, the weight that each knowledge point of lower floor accounts for knowledge point, upper strata is set and is designated as Z power;
Evaluate achievement and Z power by lower floor knowledge point, utilize knowledge point, following formulae discovery upper strata to evaluate achievement:
Knowledge point, upper strata evaluates the Z evaluating achievement × knowledge point 3 in the Z power+lower floor knowledge point 3 evaluating achievement × knowledge point 2 in the Z power+lower floor knowledge point 2 evaluating achievement × knowledge point 1 in achievement=lower floor knowledge point 1 and weighs+... + lower floor knowledge point m evaluates the Z power of achievement × knowledge point m, wherein, m is positive integer.
4. knowledge point quantitative analysis method according to claim 1, is characterized in that, the span of described X power is: be greater than 0% and be less than or equal to 100%, and in examination question, the summation of the X power of all knowledge points is 100%; The span of described Y power is: be greater than 0% and be less than 100%; The span of the Z power arranged in described 3rd knowledge point weight setting module is: be greater than 0% and be less than or equal to 100%, for belonging to same knowledge point and the identical all sub-knowledge point Z of level weighs sum is 100%.
5. a knowledge point quantitative analysis system, is characterized in that, comprises the first knowledge point weight setting module, the second knowledge point weight setting module, knowledge point standard scores computing module, knowledge point evaluation achievement computing module;
Described first knowledge point weight setting module, for obtaining each knowledge point data that the examination question that set comprises in a database, and arranges the weight that each knowledge point accounts for this contents of test question and is designated as X power;
Described second knowledge point weight setting module, for the source, knowledge point obtained according to dissimilar examination in a database, the weight arranging source, each knowledge point is designated as Y power;
Described knowledge point standard scores computing module, for each knowledge point X flexible strategy certificate arranged in certain road examination question actual score achievement of the student to be detected by choosing and this examination question, calculates each knowledge point standard scores;
Achievement computing module is evaluated in described knowledge point, weighs according to knowledge point standard scores S and Y, and an evaluation achievement of refreshing one's knowledge is designated as V
n, computing formula is as follows,
V
n＝S×Y+V
n-1×(100％-Y)；
Wherein, n is natural number, and achievement initial value V is evaluated in knowledge point
0=500, V
n-1for current knowledge point evaluates achievement.
6. knowledge point quantitative analysis system according to claim 5, it is characterized in that, described knowledge point standard scores computing module comprises:
Obtain subdivision in fact, for inquiring about the examination question achievement data of student to be detected in a database, and obtaining the knowledge point X flexible strategy certificate arranged in this examination question, passing through formula: the real score=examination question achievement × knowledge point X in knowledge point weighs, the real score of calculation knowledge point;
Primary standard subdivision, for all real score that this knowledge point in Query Database obtains in all the past examinations, calculates knowledge point primary standard and divides;
Converting unit, for dividing through set formula to the primary standard of trying to achieve: knowledge point standard scores=knowledge point primary standard divides × and 100+500 carries out linear transformation, obtains knowledge point standard scores.
7. knowledge point quantitative analysis system according to claim 5, is characterized in that, specifically also comprises the 3rd knowledge point weight setting module and achievement summarizing module is evaluated in knowledge point:
Described 3rd knowledge point weight setting module, for arranging knowledge point system in a database, arranging the weight that each knowledge point of lower floor accounts for knowledge point, upper strata and being designated as Z power;
Achievement summarizing module is evaluated in described knowledge point, for being evaluated achievement and Z power by lower floor knowledge point, utilizes knowledge point, following formulae discovery upper strata to evaluate achievement:
Knowledge point, upper strata evaluates the Z evaluating achievement × knowledge point 3 in the Z power+lower floor knowledge point 3 evaluating achievement × knowledge point 2 in the Z power+lower floor knowledge point 2 evaluating achievement × knowledge point 1 in achievement=lower floor knowledge point 1 and weighs+... + lower floor knowledge point m evaluates the Z power of achievement × knowledge point m, wherein, m is positive integer.
8. knowledge point quantitative analysis system according to claim 5, is characterized in that, the span of the X power arranged in described first knowledge point weight setting module is: be greater than 0% and be less than or equal to 100%, and in examination question, the summation of the X power of all knowledge points is 100%; The Y arranged in described second knowledge point weight setting module weighs span: be greater than 0% and be less than 100%; The span of the Z power arranged in described 3rd knowledge point weight setting module is: be greater than 0% and be less than or equal to 100%, for belonging to same knowledge point and the identical all sub-knowledge point Z of level weighs sum is 100%.
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