CN107798638A - Method is recommended based on the curricula-variable for improving radar map - Google Patents
Method is recommended based on the curricula-variable for improving radar map Download PDFInfo
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Abstract
The technical problems to be solved by the invention are to provide a kind of curricula-variable based on improvement radar map and recommend method, comprise the following steps：S1, foundation/amendment curricula-variable recommend evaluation index system；S2, calculate the single student of generation and repaiied course evaluation index radar map；S3, calculate generation counselor curricula-variable guiding index radar map；S4, calculate generation curricula-variable individual students demand parameter radar map；S5：Dynamic establishes curricula-variable individual and Yi Xiu colonies component level relation；S6：Generate individual students' needs goal-based assessment and improve radar map；S7：Calculate and issue individual students' needs target recommendation；S8：Analysis system recommends to use variance rate with curricula-variable student.The curricula-variable method changes from single mark sense combined index, changed from single radar mockup to more radar map Additive Models, and establish a kind of based on more data analyses strick precautions with reference to original, avoid can not be provided for student it is rigorous and clearly curricula-variable guides, or to the series of problems such as students' needs behavior intervention is too deep.
Description
Technical field
The present invention relates to a kind of curricula-variable method, is more particularly to entered according to the superposition of canopy index, individual index, guiding index
The computational methods of course recommendation selected by row.
Background technology
It is especially right as using curricula-variable system, credit system, as the reform in education and teaching of important content, colleges and universities carry out in an all-round way at home
For the entrant that get used to education of middle and primary schools pattern, in face of dazzling curriculum information, curricula-variable operates easy band
There are blindness and retinue's property.The optimum choice of course is not only related to the ordered arrangement for learning energy and learning time, influences to encourage
The individual affairs such as golden, graduates, directly grinds, goes abroad, obtaining employment, further relate to the reasonable arrangement of school instruction resource, are education activities
Important content in journey.
At present, Course-Selecting System realize the title to the optional course of current student, type, credit, teacher, place of attending class,
The information such as row's class situation are shown comprehensively, it is allowed to course is evaluated in a manner of message, or course history selection situation is entered
Row statistics.Help of these technical measures to students' needs decision-making is still more plain, add in some cases follow blindly can
Energy property, or even certain misleading be present.
The special item of tens school's curricula-variable processes is analyzed, we recognize that：Curricula-variable practice for many years is in systems
Have accumulated substantial amounts of curricula-variable process and result data, contain abundant colony's experience, it is necessary to make further science and fully
Excavation；The selection of student personal knowledge accumulation, hobby, the aim of learning to course has large effect, it should gives
To respect；Meanwhile also taken on as the Reasonable Regulation And Control of teaching resource, the specific implementation of personalization culture, school to students in class
The guiding function of journey selection.Therefore, the foundation of single-population opinion digital model can not disclose curriculum attribute comprehensively with learning
Corresponding relation between raw attribute.Curricula-variable recommendation method is placed under the technical background of personal behavior intellectual analysis and carried out by this patent
Research, establish comprising reference group's index, individual demand index, " many integration formula " mathematical modeling for guiding regulation index, lead to
The separation of radar map is crossed with being superimposed, single numerical value is drawn by special algorithm, providing referential for students' needs guides.
This patent equally has certain promotional value under other application scene.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of based on the curricula-variable recommendation method for improving radar map, the curricula-variable
Method changes from single mark sense combined index, changed from single radar mockup to more radar map Additive Models, and establishes one
Kind taken precautions against based on more with reference to former data analyses, so as to preferably solve current Course-Selecting System course fertilizer index system imperfection,
Computational methods not science, can not be provided for student it is rigorous and clearly curricula-variable guides, or to students' needs behavior intervention
The series of problems such as deep.
Therefore, curricula-variable of the present invention recommends method to comprise the following steps：
S1, foundation/amendment curricula-variable recommend evaluation index system；
S2, calculate the single student of generation and repaiied course evaluation index radar map；
S3, calculate generation counselor curricula-variable guiding index radar map；
S4, calculate generation curricula-variable individual students demand parameter radar map；
S5：Dynamic establishes curricula-variable individual and Yi Xiu colonies component level relation；
S6：Generate individual students' needs goal-based assessment and improve radar map；
S7：Calculate and issue individual students' needs target recommendation；
S8：Analysis system recommends to use variance rate with curricula-variable student.
Further, step S2 comprises the following steps：
S21：By default collection rule, the student group set of sampling request is determined for compliance with；
S22：Questionnaire is provided to each sampling student by system, student is obtained and comments having repaiied Curriculum Evaluation index item
Score value；
S23：Generation sampling student has repaiied personal evaluation's index radar map intersection Radar_mapS of courseim.Wherein i and m
The marking variable of student and course is represented respectively, and student is stored in the form of radar map to specifying the multiple estimation items evaluations point of course
The intersection of value.
Further, step S3 comprises the following steps：
S31：According to default correlation rule, determine that various courses correspond to counselor respectively, form colony's set；
S32：Corresponding course curricula-variable is provided to counselor by system and guides grade form, teacher is on that may influence student's choosing
The course index item of class behavior is scored, and is formed curricula-variable and is suggested quantized data；
S33:Calculate teacher colony course guiding index item and merge score value Tm。
Further, step S4 comprises the following steps：
S41：Current student sets personal curricula-variable demand by system, sets curricula-variable target indicator item score value；
S42：Calculate current student's index item score value Um, if 6 index item, then U is calculated respectively1、U2、U3……U6
Value, generation individual demand index radar map Radar_mapU.
Further, step S5 comprises the following steps：
S51：Corresponding scatter diagram is drawn by default student group subdivision rules, curricula-variable student is determined for specific course
Body and the component level relation between student group is repaiied；
S52：Based on scatterplot model, using current student's value as radix, according to certain tolerance rate (adjustable), from individual
Evaluation index radar map intersection Radar_mapSimIn, filter out the student group desired value convergent with its background and target/achievement
As sample for reference, reference group index radar map intersection Radar_mapSC is formednm, the index item score value calculation formula：
Further, step S6 is in detail：：
Generation Radar_mapT, Radar_mapS, Radar_mapU are correspondingly superimposed radar map with index.
Further, step S7 comprises the following steps：
S71：Calculating Radar_mapT, Radar_mapU radar map overlapping region area value ST, and Radar_mapS,
Radar_mapU radar maps overlapping region area value SU；
S72：Calculating Radar_mapT, Radar_mapU radar map region area difference SCT, and Radar_mapS,
Radar_mapU radar map region area differences SCU；
S73：It is worth on the basis of radar map region area common factor ST, SU value, radar map area surface product moment SCT, SCU value are to repair
On the occasion of by the consequently recommended value S of predefined weight calculating course；
Further, step S8 is in detail：
Calculate and obtain course recommendation course selection situation variance rate final with student, there is provided be used as and revise to administrative staff
The reference frame of index item and weight ratio, the degree of accuracy is recommended with lasting lifting course, towards individual student, its comprehensive all course
Recommendation, positioning minimum recommended value SminWith maximum recommended value Smax, this section is divided into five score value sections, with reference to student most
Course and the course residing section in recommendation are chosen eventually, are calculated each section and are used rate.
It is provided by the invention that method is recommended based on the curricula-variable for improving radar map, compared with prior art, have the advantage that：
1st, school's existing information Applications construct achievement is made full use of, is analyzed and utilized by big data, lifting sample is taken out
Normalization, matching and the accuracy taken；
2nd, rationally concluded by mathematical modeling, analyze opinions and suggestions of the different crowd to same part affairs, and combined individual
People is inclined to assigned references weight, end product is showed the mutually coordinated and respect to community opinion and individual opinion；
3rd, the introducing of curricula-variable recommendation mode, ensure different levels student under different study stages, different curricula-variable purposes
The quantization that can refer to can be obtained to guide, avoid single assessment result from ignoring student individuality demand, avoid to business row
For actual intervention with intervene.
4th, the application of radar map mode, not only allows evaluation process to visualize from showing, meanwhile, it is different from conventional simple logical
Final result value is crossed on being influenceed using people, the end value of single or multiple index item can be concerned only with using people.Meet not
With the personal demand of individual.
5th, the application of more radar map stacked systems, makes data processing more smooth, and computational methods are more succinct, facilitate foreground
User intuitively understands data analysis process, and the further contrast balance between overall target and individual index.
6th, this method has merged Principle of Statistics, big data analytical technology, and graphics calculations technology, train of thought is clear, formula closes
Reason, scheduling is proper, can be relatively easy to realize.
7th, computational methods separate to greatest extent with operational approach, evaluation index flexibly definition and development are supported, so as to expand
This method can application.
Brief description of the drawings
Fig. 1 is the key step of the method for the invention.
Fig. 2 is curricula-variable individual with having repaiied group relation model schematic.
Fig. 3 is radar map Additive Model schematic diagram.
Fig. 4 is lack of balance angle radar map model schematic.
Fig. 5 is that triangle common factor schematic diagram is formed in adjacent index item line region.
Fig. 6 is that quadrangle common factor schematic diagram is formed in adjacent index item line region.
Fig. 7 is personal evaluation's index radar map intersection example.
Fig. 8 is that course A guides index radar illustrated example.
Fig. 9 is that course B guides index radar illustrated example.
Figure 10 is the individual demand index radar illustrated example of curricula-variable student 1.
Figure 11 is the canopy index radar illustrated example towards the course A of curricula-variable student 1.
Figure 12 is the canopy index radar illustrated example towards the course B of curricula-variable student 1.
Figure 13 is the superposition radar illustrated example towards the course A of curricula-variable student 1.
Figure 14 is the superposition radar illustrated example towards the course B of curricula-variable student 1.
Embodiment
The present invention provides a kind of curricula-variable based on improvement radar map and recommends method, to make the purpose of the present invention, technical scheme
And effect becomes apparent from, clearly, the present invention is described in more detail below, it will be appreciated that specific implementation described herein
Example is not intended to limit the present invention only to explain the present invention.
Embodiment one：
The present invention provides a kind of curricula-variable based on improvement radar map and recommends method, and it is theed improvement is that from single mark sense
Combined index changes, and changes from single radar graph model to more radar map Additive Models, and establishes one kind accordingly and be based on more references
The data analysing method in source, so as to preferably solve current Course-Selecting System course fertilizer index system imperfection, computational methods not section
Learn, rigorous and clearly curricula-variable guide can not be provided for student, or to the series of problems such as students' needs behavior intervention is too deep.
It is a kind of that method is recommended based on the curricula-variable for improving radar map, comprise the following steps：
S1：Foundation/amendment curricula-variable recommends evaluation index system；
Curricula-variable recommends evaluation index system to include the definition of evaluation index item, the definition of student group subdivision method, counselor
The contents such as the definition of association method, data collecting rule definition, the definition of evaluation index management method.Index item quantity and content are kept
Due elasticity.From the point of view of scoring operations are facilitated, it is proposed that Curriculum Evaluation index item quantity is controlled in 4-10 items section model
In enclosing.
S2：Calculate the single student of generation and repair course evaluation index radar map；
Further, method is recommended based on the curricula-variable for improving radar map according to the present invention, the step S2 includes：
S21：By default collection rule, the student group set of sampling request is determined for compliance with；
S22：Questionnaire is provided to each sampling student by system, student is obtained and comments having repaiied Curriculum Evaluation index item
Score value；
S23:Generation sampling student has repaiied personal evaluation's index radar map intersection Radar_mapS of courseim.Wherein i and m
The marking variable of student and course is represented respectively, and student is stored in the form of radar map to specifying the multiple estimation items evaluations point of course
The intersection of value.
S3：Calculate generation counselor curricula-variable guiding index radar map；
Further, method is recommended based on the curricula-variable for improving radar map according to the present invention, the step S3 includes：
S31：According to default correlation rule, determine that various courses correspond to counselor respectively, form colony's set；
S32：Corresponding course curricula-variable is provided to counselor by system and guides grade form, teacher is on that may influence student's choosing
The course index item of class behavior is scored, and is formed curricula-variable and is suggested quantized data；
S33:Calculate teacher colony course guiding index item and merge score value Tm.If 6 index item, then calculate respectively
T1、T2、T3……T6Value, form course guiding regulation index radar map Radar_mapT.
Index item score value calculation formula：
S4：Calculate generation curricula-variable individual students demand parameter radar map
Further, method is recommended based on the curricula-variable for improving radar map according to the present invention, the step S4 includes：
S41：Current student sets personal curricula-variable demand by system, sets curricula-variable target indicator item score value；
S42：Calculate current student's index item score value Um, if 6 index item, then U is calculated respectively1、U2、U3……U6
Value, generation individual demand index radar map Radar_mapU.
S5：Dynamic establishes curricula-variable individual and Yi Xiu colonies component level relation
Further, method is recommended based on the curricula-variable for improving radar map according to the present invention, the step S5 includes：
S51：Corresponding scatter diagram is drawn by default student group subdivision rules, curricula-variable student is determined for specific course
Body and the component level relation between student group is repaiied.
Exemplary plot is as shown in Figure 2.Fig. 2 is curricula-variable individual and has repaiied group relation model schematic, in the figure, middle pure
The current curricula-variable student of black color dots, other Grey Points represent to have repaiied corresponding course student.Background value is x-axis, marks each student and is learning
Before practising current course, learning ability association estimation items (such as preamble course, associating study point etc. of course) take score value；Mesh
Scale value/achievement value is y-axis, and expectation is represented for curricula-variable student and reaches achievement score value, the generation for having repaiied course student
Table is actual to obtain score value.
S52：Based on scatterplot model, using current student's value as radix, according to certain tolerance rate (adjustable), from individual
Evaluation index radar map intersection Radar_mapSimIn, filter out the student group desired value convergent with its background and target/achievement
As sample for reference, reference group index radar map intersection Radar_mapSC is formednm。
S53:Calculate canopy index radar map intersection Radar_mapSCnmIn each index item merge score value Sm.If 6
Individual index item, then calculate S respectively1、S2、S3……S6Value, form the single radar map Radar_mapS of the course canopy index.
Index item score value calculation formula：
S6：Generate individual students' needs goal-based assessment and improve radar map
Further, method is recommended based on the curricula-variable for improving radar map according to the present invention, the step S6 includes：
Generation Radar_mapT, Radar_mapS, Radar_mapU are correspondingly superimposed radar map with index, as shown in figure 3, thunder
The adjacent index item wire clamp angle ɑ value up in figure, according to business rule actual requirement, equipartition method, i.e. ɑ=360 ° can be used
÷ n, wherein n represent index item quantity；Different index item wire clamp angle value can also be manually set, strengthen the proportion between index item
Relation, expand and specify influence of the index item score value to assessment result, form radar graph model as shown in figure 4, Fig. 4 is lack of balance
Angle radar map model schematic.
S7：Calculate and issue individual students' needs target recommendation
Further, method is recommended based on the curricula-variable for improving radar map according to the present invention, the step S7 includes：
S71：Calculating Radar_mapT, Radar_mapU radar map overlapping region area value ST, and Radar_mapS,
Radar_mapU radar maps overlapping region area value SU.
Whole radar map is divided into n blocks region by n index item, calculates radar map intersection area face in two indexes item line respectively
Product, add up and form the corresponding intersection area gross area.
Radar map intersection area in two indexes item line is always disposed on first quartile and calculated by us, with SnSignal is single
Region area.The form being likely to occur in face of intersection area provides corresponding calculation, and the calculation is equal to ST and SU evaluations
Effectively.
(1) in adjacent two indexes item line region, if it is minimum to correspond to desired value with system, the region is occured simultaneously
Figure is triangle, OP as shown in Figure 51P2Region, Fig. 5 are that triangle common factor schematic diagram is formed in adjacent index item line region,
OP1P2Region area calculation：
Its areal calculation mode：
A=| OP1|
B=| OP2|
(2) if it is respectively minimum that wantonly two sets of systems, which correspond to desired value, the region common factor figure is quadrangle.Such as Fig. 6
Shown OP1MP4Region, Fig. 6 are that quadrangle common factor schematic diagram is formed in adjacent index item line region
Designated blocks OP1MP4Region area calculation is as follows：
It is known | OP1|, | OP2|,|OP3|,|OP4|, ∠ α, corresponding point coordinates is drawn using trigonometric function：
P1(x1,y1),P2(x2,y2),P3(x3,y3),P4(x4,y4)
By：
l:Y=k1x+b1
m:Y=k2x+b2
Wherein：
b1=y1-k1·x1
b2=y3-k2·x3
Obtain M point respective coordinates：
y5=x5·k1+b1
By distance between two points formula：
Release：
Order：
A=| OP1|, b=| P1M |, c=| P4M |, d=| OP4|
Single cross collection regional area value S is obtained using Heron's formulan：
(3) ST, SU value is completed according to the method described above to calculate.Calculation formula is as follows, and wherein n represents index item quantity：
S72：Calculating Radar_mapT, Radar_mapU radar map region area difference SCT, and Radar_mapS,
Radar_mapU radar map region area differences SCU.
Equally, whole radar map is divided into n blocks region by n index item, calculates radar graph region in two indexes item line respectively
Area, it is cumulative to form Radar_mapT, Radar_mapS, Radar_mapU radar volume gross area.We are by two indexes item line
Interior radar graph region is always positioned over first quartile and calculated.Foregoing calculation is effective to SCT and SCU evaluations, calculates public
Formula is as follows：
S73：It is worth on the basis of radar map region area common factor ST, SU value, radar map area surface product moment SCT, SCU value are to repair
On the occasion of by the consequently recommended value S of predefined weight calculating course.Calculation formula is as follows：
S=STR1+SU·(1-R1)-|SCT|·R2-|SCU|·(1-R2)
S=STR1+SU (1-R1)-| SCT | R2- | SCU | (1-R2)
Wherein, R1Represent " guiding control value and the demands of individuals value goodness of fit " and " canopy index value is kissed with demands of individuals value
It is right " result calculating on weight relationship；R2Represent " guiding control value and demands of individuals value diversity factor " and " canopy index value
With demands of individuals value diversity factor " result calculating on weight relationship.
Weight ratio is set up as the case may be by administrative staff, interval 1%-100%.Its introducing is further
Strengthen and specify influence of the index to final result value.
Consequently recommended value S initiates student to request and opened, and reference is provided for curricula-variable behavior.The recommendation of same course faces
Different student's concrete conditions may be different, so as to form the curricula-variable recommendation service of personalization
S8：Analysis system recommends to use variance rate with curricula-variable student
Calculate and obtain course recommendation course selection situation variance rate final with student, there is provided be used as and revise to administrative staff
The reference frame of index item and weight ratio, the degree of accuracy is recommended with lasting lifting course.
Towards individual student, its comprehensive all course recommendation, positioning minimum recommended value SminWith maximum recommended value Smax, will
This section is divided into five score value sections, and course and the course residing section in recommendation are finally chosen with reference to student, calculates
Each section uses rate.In theory high-order recommendation using rate should highest, otherwise, administrative staff just need further analyzing influence
Using the concrete reason of rate, including：The reasonability that the factors such as index item, weight ratio are set.
Achievement of the present invention is further applied, system can rationally take into account student's combined type curricula-variable mesh by training in rotation calculation
Mark demand, batch recommend curricula-variable course, lift students' needs service quality.
Embodiment two：
The application principle of the present invention is further described again below in conjunction with accompanying drawing.
(1) foundation/amendment curricula-variable recommends evaluation system
This step is abovementioned steps S1.
Curricula-variable recommends evaluation system to be defined with reference to school's actual conditions, and with the accumulation year by year of business datum,
And this method actual use assessment of scenario is adjusted.
Index item will combine school's concrete condition and assess and require flexibly to be set, and can carry out multi -index and draw
Point.Value trend by generally best suit personal expectation for high score, otherwise be evaluation index for low score value table 1 below
Item refers to example：
Part index number item rating value can pass through the extraction and analysis to campus informatization application data with existing, such as " teacher
Situation of giving lessons is evaluated " data can derive from school's " quality monitor of teaching and evaluation system ", and targetedly questionnaire is adjusted
Look into, lift the objectivity of assessment result.
(2) calculate the single student of generation and repair course evaluation index radar map
This step is abovementioned steps S2.
Population evaluation value list of the sampling student to code A courses is calculated by taking table 2 below as an example:
Population evaluation value list of the sampling student to code B courses is calculated by taking Table 3 below as an example：
According to above-mentioned list value, 9 students are generated respectively to A, B two subjects journey, add up to 18 personal evaluation's index radars
Scheme Radar_mapSim, as shown in Figure 7.
(3) generation counselor curricula-variable guiding index radar map is calculated
This step is abovementioned steps S3.
Guiding assessed value of the counselor to A courses is calculated by taking table 4 below as an example.
Counselor's A courses curricula-variable guiding index radar map Radar_mapT is drawn according to result average valueaSuch as Fig. 8 institutes
Show.
Guiding assessed value of the counselor to B courses is calculated by taking table 5 below as an example.
Counselor's B courses curricula-variable guiding index radar map Radar_mapT is drawn according to result average valuebSuch as Fig. 9 institutes
Show.
(4) generation curricula-variable individual students demand parameter radar map is calculated
This step is abovementioned steps S4.
Curricula-variable student's index item demand score value is obtained, example is expressed as below：
Draw student 1, the curricula-variable demand parameter radar map Radar_mapU of student 2 respectively according to end value1、Radar_mapU2
As shown in Figure 10.
(5) dynamic establishes curricula-variable individual and Yi Xiu colonies component level relation
According to preset rules, in face of course A curricula-variables student 1 and sampling student 1, student 2, student 3, student 4, student 5,
Raw 8, which form sample, corresponds to.
Calculate reference group's desired value：
Canopy index radar map Radar_mapS according to average value generation towards the course A of curricula-variable student 11aSuch as Figure 11 institutes
Show.
Sample pair is formed in face of course B curricula-variables student 1 and sampling student 2, student 3, student 5, student 6, student 7, student 9
Should.
Calculate reference group's desired value：
Canopy index radar map Radar_mapS according to average value generation towards the course B of curricula-variable student 11bSuch as Figure 12 institutes
Show.
(6) generate individual students' needs goal-based assessment and improve radar map
This step is abovementioned steps S6.
Towards curricula-variable student 1, collect indices value for course A:
The corresponding superposition radar map of generation is as shown in figure 13.
Towards curricula-variable student 1, collect indices value for course B:
The corresponding superposition radar map of generation is as shown in figure 14.
(7) calculate and issue individual students' needs target recommendation
This step is abovementioned steps S7.
According to foregoing calculation formula, towards the course A of curricula-variable student 1 curricula-variable recommendation：
ST=St1ot2+St2ot3+St3ou4+Su4ou5+Su5ot6+St6ot1
=3.9+3.9+3.9+3.9+3.9+3.9
=23.4
SU=Su1ou2+Su2ou3+Su3ou4+Su4os5m1+Ss5ou6m2+Su6ou1
=3.9+3.9+3.9+3.4+3.5+3.9
=22.5
| SCT |=| St1t2t3t4t5t6-Su1u2u3u4u5u6|
=| 32.0-23.4 |
=8.6
| SCU |=| Ss1s2s3s4s5s6-Su1u2u3u4u5u6|
=| 32.4-23.4 |
=9
R1=0.5
R2=0.5
S1a=STR1+SU·(1-R1)-|SCT|·R2-|SCU|·(1-R2)
=23.40.5+22.50.5-8.60.5-90.5
=14.2
According to foregoing calculation formula, towards the course B of curricula-variable student 1 curricula-variable recommendation：
ST=Su1u2u3u4u5u6
=23.4
SU=Su1u2u3u4u5u6
=23.4
| SCT |=| St1t2t3t4t5t6-Su1u2u3u4u5u6|
=| 40.3-23.4 |
=16.9
| SCU |=| Ss1s2s3s4s5s6-Su1u2u3u4u5u6|
=| 35.7-23.4 |
=12.3
R1=0.5
R2=0.5
S1b=STR1+SU·(1-R1)-|SCT|·R2-|SCU|·(1-R2)
=23.40.5+23.40.5-16.90.5-12.30.5
=8.8
Both compare, it will be apparent that point out more conformed to relative to the curricula-variable demand of student 1, course A compared with course B.
It is described above, it is only the specific implementation method of the present invention, but protection scope of the present invention is not limited thereto, and it is any
Belong to those skilled in the art the invention discloses technical scope in, the change or replacement that can readily occur in, all should
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.
Claims (8)
1. method is recommended based on the curricula-variable for improving radar map, it is characterised in that it comprises the following steps：
S1, foundation/amendment curricula-variable recommend evaluation index system；
S2, calculate the single student of generation and repaiied course evaluation index radar map；
S3, calculate generation counselor curricula-variable guiding index radar map；
S4, calculate generation curricula-variable individual students demand parameter radar map；
S5：Dynamic establishes curricula-variable individual and Yi Xiu colonies component level relation；
S6：Generate individual students' needs goal-based assessment and improve radar map；
S7：Calculate and issue individual students' needs target recommendation；
S8：Analysis system recommends to use variance rate with curricula-variable student.
2. it is according to claim 1 based on improve radar map curricula-variable recommend method, it is characterised in that step S2 include with
Lower step：
S21：By default collection rule, the student group set of sampling request is determined for compliance with；
S22：Questionnaire is provided to each sampling student by system, obtains student to having repaiied the scoring of Curriculum Evaluation index item
Value；
S23：Generation sampling student has repaiied personal evaluation's index radar map intersection Radar_mapS of courseim.Wherein i and m difference
The marking variable of student and course is represented, student is stored in the form of radar map to specifying the multiple estimation items of course to evaluate score value
Intersection.
3. it is according to claim 1 based on improve radar map curricula-variable recommend method, it is characterised in that step S3 include with
Lower step：
S31：According to default correlation rule, determine that various courses correspond to counselor respectively, form colony's set；
S32：Corresponding course curricula-variable is provided to counselor by system and guides grade form, teacher is on that may influence students' needs row
For course index item scored, formed curricula-variable suggest quantized data；
S33:Calculate teacher colony course guiding index item and merge score value Tm。
4. it is according to claim 1 based on improve radar map curricula-variable recommend method, it is characterised in that step S4 include with
Lower step：
S41：Current student sets personal curricula-variable demand by system, sets curricula-variable target indicator item score value；
S42：Calculate current student's index item score value Um, if 6 index item, then U is calculated respectively1、U2、U3……U6's
Value, generation individual demand index radar map Radar_mapU.
5. it is according to claim 1 based on improve radar map curricula-variable recommend method, it is characterised in that step S5 include with
Lower step：
S51：Draw corresponding scatter diagram by default student group subdivision rules, for specific course determine curricula-variable individual students with
The component level relation between student group is repaiied；
S52：Based on scatterplot model, using current student's value as radix, according to certain tolerance rate, from personal evaluation's index thunder
Up to figure intersection Radar_mapSimIn, filter out and be used as with the convergent student group desired value of its background and target/achievement with reference to sample
This, forms reference group index radar map intersection Radar_mapSCnm, the index item score value calculation formula：
6. according to claim 1 recommend method based on the curricula-variable for improving radar map, it is characterised in that step S6 is detailed
For：：
Generation Radar_mapT, Radar_mapS, Radar_mapU are correspondingly superimposed radar map with index.
7. it is according to claim 1 based on improve radar map curricula-variable recommend method, it is characterised in that step S7 include with
Lower step：
S71：Calculate Radar_mapT, Radar_mapU radar map overlapping region area value ST, and Radar_mapS, Radar_
MapU radar maps overlapping region area value SU；
S72：Calculate Radar_mapT, Radar_mapU radar map region area difference SCT, and Radar_mapS, Radar_
MapU radar map region area differences SCU；
S73：It is worth on the basis of radar map region area common factor ST, SU value, radar map area surface product moment SCT, SCU value are amendment
Value, the consequently recommended value S of course is calculated by predefined weight.
8. according to claim 1 recommend method based on the curricula-variable for improving radar map, it is characterised in that step S8 is in detail：
Calculate and obtain course recommendation course selection situation variance rate final with student, there is provided to administrative staff as revision index
The reference frame of item and weight ratio, the degree of accuracy is recommended with lasting lifting course, towards individual student, its comprehensive all courses recommendation
Value, positioning minimum recommended value SminWith maximum recommended value Smax, this section is divided into five score value sections, finally selected with reference to student
Course and the course residing section in recommendation are taken, each section is calculated and uses rate.
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| CN109360458A (en) * | 2018-10-25 | 2019-02-19 | 重庆鲁班机器人技术研究院有限公司 | Interest assistant teaching method, device and robot |
| CN110806553A (en) * | 2018-08-06 | 2020-02-18 | 西门子(深圳)磁共振有限公司 | Protocol parameter selection method and device and magnetic resonance imaging system |
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