CN102768751B - Pushing learning resource system and method - Google Patents
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Abstract
The invention discloses pushing learning resource system and method, make student can find suitable education resource fast, easily and accurately in the inventory of magnanimity.Its technical scheme is: system gives student attribute to student, gives education resource attribute, and set up the correlativity between student's attribute and education resource attribute to education resource.Student selects corresponding student's attribute under the background oneself determined, this system is then according to the attribute of student's selection and the degree of correlation between student's attribute of storage inside and education resource attribute, determine the education resource inventory with the high degree of correlation matched with student, and be pushed to student.
Description
Technical field
The present invention relates to the method for being carried out pushing learning resource by website, particularly relate to according to its demand of student's attributes extraction, choose the system and method for education resource.
Background technology
Along with the expansion of e learning, individualized learning has the demand increasingly improved.So-called individualized learning, refers to that student according to subjective and objective attributes such as my background, preferences, can choose the education resource matched and learn.As the website providing education resource, not only to meet the demand that student chooses education resource, but also will accomplish fast with accurate.
According to analysis and investigation, one of maximum puzzlement that current student exists is the hundreds of individual even thousands of education resource inventory how to provide in the face of website, and has no way of doing it.
Such as, be below sales force's course inventory (part) on certain website:
Table 1
If do not understand the subjective and objective attribute of student, not knowing the degree of correlation of education resource and its adaptation, find the resource meeting self-study demand, is not an easy thing really.
Summary of the invention
The object of the invention is to solve the problem, provide a kind of pushing learning resource system, make student can find suitable education resource fast, easily and accurately in the inventory of magnanimity.
Another object of the present invention is to provide a kind of pushing learning resource method, make student can find suitable education resource fast, easily and accurately in the inventory of magnanimity.
Technical scheme of the present invention is: present invention is disclosed a kind of pushing learning resource system, comprise database module, processing module, arrange module, display module and editor module, wherein:
This database module stores student data, student's attribute, education resource data, education resource attribute, association between student's attribute and education resource attribute;
This processing module, connect this database module, by correlation matrix algorithm, process operation is carried out to this database, based on the association between described student's attribute and education resource attribute, obtain the degree of correlation of student and education resource, and the association between student's attribute of storing of the student's attribute provided according to this editor module and this database module and education resource attribute, determine the education resource inventory pushed;
This arranges module, connects this database module by this processing module, the student's attribute stored in setting data storehouse, education resource data, education resource attribute, association between student's attribute and education resource attribute;
This display module, connects this database module by this processing module, display student attribute menu, education resource attribute menu, with the education resource inventory of student's attributes correlation higher than a threshold value;
This editor module, connects this database module by this processing module, receives the input of student, to student's attribute of this processing module transmission student input.
According to an embodiment of pushing learning resource system of the present invention, described student's attribute comprises the objective attribute of student and the subjective attribute of student, wherein the objective attribute of student comprises age of student, length of service, the character of the most well educated, work enterprise, the post attribute of a work recently, the enterprise management level of a work recently and management culture feature, and the subjective attribute of student comprises preference, the preference of study form, the preference to business administration culture of student to learning content.
According to an embodiment of pushing learning resource system of the present invention, described education resource attribute comprises and adapts to post attribute, adapt to its work enterprise attributes, student's educational background background, age and length of service, any one combination among study preference.
According to an embodiment of pushing learning resource system of the present invention, described processing module comprises matrix construction unit, transitive closure computing unit, consistance judging unit further, user asks map unit, user asks to expand unit, Resource Properties expands unit, angle calcu-lation unit, wherein:
Described matrix construction unit, the correlation matrix of structure student attribute variable;
Described transitive closure computing unit, connects described matrix construction unit, carries out to described correlation matrix the transitive closure that interative computation obtains described correlation matrix;
Described consistance judging unit, connect described transitive closure computing unit, judge that whether twice, the front and back interative computation result in described transitive closure computing unit is consistent, if inconsistent, continue the computing being carried out next round by described transitive closure computing unit, if consistent, ask map unit to process by described user;
Described user asks map unit, connects described consistance judging unit, is mapped in the vector of matrix by user's request;
Described user asks to expand unit, connects described user and asks map unit, ask the vector mapped to carry out the expansion of the degree of association user;
Described Resource Properties expands unit, connects described user and asks to expand unit, carries out the vector that course maps and expands, become object vector;
Described angle calcu-lation unit, connects described Resource Properties and expands unit, the angle of computation requests vector sum object vector, and carry out the sequence of correlativity based on angle.
Present invention further teaches a kind of pushing learning resource method, comprising:
Student's attribute, education resource data, education resource attribute, association between student's attribute and education resource attribute are set;
Display student's attribute or reception student input are to determine corresponding student's attribute;
According to student's attribute, association between student's attribute and education resource attribute, obtain the degree of correlation of student and education resource, display and the education resource inventory of student's attributes correlation higher than a threshold value.
According to an embodiment of pushing learning resource method of the present invention, described student's attribute comprises the objective attribute of student and the subjective attribute of student, wherein the objective attribute of student comprises age of student, length of service, the character of the most well educated, work enterprise, the post attribute of a work recently, the enterprise management level of a work recently and management culture feature, and the subjective attribute of student comprises preference, the preference of study form, the preference to business administration culture of student to learning content.
According to an embodiment of pushing learning resource method of the present invention, described education resource attribute comprises and adapts to post attribute, adapt to its work enterprise attributes, student's educational background background, age and length of service, any one combination among study preference.
According to an embodiment of pushing learning resource method of the present invention, the step obtaining the degree of correlation of student and education resource according to student's attribute, association between student's attribute and education resource attribute comprises further:
The correlation matrix of structure student attribute variable;
Successive ignition computing is carried out to described correlation matrix, obtains the transitive closure of described correlation matrix;
Judge that whether twice, front and back interative computation result is consistent, if inconsistent, return previous step and carry out interative computation, if consistent, the user of student request is mapped in the vector of matrix;
The vector of the matrix mapped user is asked to carry out the expansion of the degree of association;
Carry out the vector that course maps to expand, become object vector;
Calculate the angle that user asks vector and the object vector mapped, and carry out the sequence of correlativity based on angle.
The present invention contrasts prior art following beneficial effect: pushing learning resource system of the present invention gives student attribute to student, gives education resource attribute, and set up the correlativity between student's attribute and education resource attribute to education resource.Student selects corresponding student's attribute under the background oneself determined, this system is then according to the attribute of student's selection and the degree of correlation between student's attribute of storage inside and education resource attribute, determine the education resource inventory with the high degree of correlation matched with student, and be pushed to student.Contrast prior art, the present invention can allow student quicker, more convenient, in the education resource inventory of magnanimity, find suitable education resource more accurately.
Accompanying drawing explanation
Fig. 1 shows the block diagram of the preferred embodiment of pushing learning resource system of the present invention.
Fig. 2 shows the operational flow diagram of the preferred embodiment of pushing learning resource system of the present invention.
Fig. 3 shows the use process flow diagram that student enters pushing learning resource system of the present invention.
Fig. 4 shows the process flow diagram of the preferred embodiment of pushing learning resource method of the present invention.
Fig. 5 shows the process flow diagram of the matrix algorithms of student of the present invention and education resource correlativity.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.
the embodiment of pushing learning resource system
Fig. 1 shows the principle of the embodiment of pushing learning resource system of the present invention.Refer to Fig. 1, the pushing learning resource system of the present embodiment comprises: database module 1, processing module 2, arrange module 3, display module 4 and editor module 5.
Annexation between them is: the output connection handling module 2 of editor module 5, and the output of processing module 2 connects display module 4, arranges the output connection handling module 2 of module 3.Be bi-directionally connected between processing module 2 and database module 1.
Database module 1 stores following data: the incidence relation of the subjective and objective attribute of student's data, education resource data, student, education resource and student's attribute.Wherein student's attribute comprises the objective attribute of student and the subjective attribute of student, wherein the objective attribute of student comprises age of student, length of service, the character of the most well educated, work enterprise, the post attribute of a work recently, the enterprise management level of a work recently and management culture feature, and the subjective attribute of student comprises preference, the preference of study form, the preference to business administration culture of student to learning content.The tightness degree of the association between different student's attributes can describe with the numerical value within the scope of 0-1.
Education resource attribute comprises and adapts to post attribute, adapt to its work enterprise attributes, student's educational background background, age and length of service, any one combination among study preference.
From content and form, education resource has height with the degree of association possessing different attribute student.The student of some attribute.Such as, the student that the length of service is higher more can contact the accuracy of experience thinking content; Age less student prefers form of expression fashion, fashionable, interesting education resource; The higher student of educational background more focuses on support theoretical in education resource; The work position attribute of student, is close to the learning object of education resource; The character of the different enterprise of student, management culture directly affect the content of education resource especially.
Editor module 5 receives the input of student, transmits student's attribute of student's input to processing module 2.
Processing module 2 and database module 1 are set up and are bi-directionally connected, and for by the operation (reading, write, inquiry etc.) to database, calculate the degree of association between certain student and education resource.Namely by correlation matrix algorithm, the degree of correlation of this student and education resource is obtained.And the association between student's attribute of storing of the student's attribute provided according to editor module 5 and database module 1 and education resource attribute, determine the education resource inventory pushed.
Processing module 2 comprises matrix construction unit 20, transitive closure computing unit 21, consistance judging unit 22 further, user asks map unit 23, user asks to expand unit 24, Resource Properties expands unit 25, angle calcu-lation unit 26.It is the relation sequentially connected between these unit.
Matrix construction unit 20 is for constructing the correlation matrix of student attribute variable.Transitive closure computing unit 21 carries out to described correlation matrix the transitive closure that interative computation obtains correlation matrix.Consistance judging unit 22 judges that whether twice, the front and back interative computation result in transitive closure computing unit is consistent, if inconsistent, continue the computing being carried out next round by transitive closure computing unit 21, if consistent, ask map unit 23 to process by user.User asks map unit 23 user's request to be mapped in the vector of matrix.User asks to expand unit 24 asks the vector mapped to carry out the expansion of the degree of association user.Resource Properties is expanded unit 25 and is carried out the vector that course maps and expand, and becomes object vector.The angle of angle calcu-lation unit 26 computation requests vector sum object vector, and based on angle, correlativity is sorted.
Arranging module 3 is exactly when certain student logs in after, and system will by the operation of processing module 2, the student's attribute stored in setting data storehouse, education resource data, education resource attribute, association between student's attribute and education resource attribute.
Display module 4 show student's attribute menu, education resource attribute menu, with student's attributes correlation higher than the education resource inventory of a threshold value.
Fig. 2 shows the flow process of the system cloud gray model of the present embodiment.Please simultaneously see Fig. 2, operating procedure is as follows.
Step S20: associating of student's attribute, education resource and attribute thereof and student's attribute and education resource attribute is set.
Step S21: student inputs relevant information, accessing system, checking student inputs corresponding information.
Step S22: the student's Property Name stored in database is shown to lander, or select the subjective and objective attribute of self by student.
Step S23: according to the degree of association of fixed student's attribute, student's attribute and education resource attribute, display and the education resource inventory of this student's degree of association higher than threshold value.
Step S24: link corresponding education resource on education resource inventory, be pushed to student.
Fig. 3 shows the use flow process that student enters pushing learning resource system of the present invention.Refer to Fig. 3, student enters system for the first time, need carry out registering (step S31), subjective and objective attribute (step S32) is corresponding thereto selected, then by the adaptive corresponding resource inventory (step S33) of pushing learning resource engine in the drop-down menu of student's attribute; Registered student inputs username and password, login system (step S34).Then shown and this humanized suitable education resource inventory (step S35) by system.If student's attribute needs adjustment, be then back to step S32.If post attribute is without the need to adjustment, then select any cost in education resource inventory by student, system is connected to this resource automatically, provides student to learn (step S36).
the embodiment of pushing learning resource method
Fig. 4 shows the flow process of the embodiment of pushing learning resource method of the present invention.Refer to Fig. 4, details are as follows for each step of the present embodiment.
Step S50: student's attribute, education resource data, education resource attribute, association between student's attribute and education resource attribute are set.
Student's attribute comprises the objective attribute of student and the subjective attribute of student, wherein the objective attribute of student comprises age of student, length of service, the character of the most well educated, work enterprise, the post attribute of a work recently, the enterprise management level of a work recently and management culture feature, and the subjective attribute of student comprises preference, the preference of study form, the preference to business administration culture of student to learning content.
Education resource attribute comprises and adapts to post attribute, adapt to its work enterprise attributes, student's educational background background, age and length of service, any one combination among study preference.
Step S52: display student's attribute or reception student input are to determine corresponding student's attribute.
Step S54: according to student's attribute, association between student's attribute and education resource attribute, obtain the degree of correlation of student and education resource, display and the education resource inventory of student's attributes correlation higher than a threshold value.
In this step S54, the step obtaining the degree of correlation of student and education resource according to student's attribute, association between student's attribute and education resource attribute comprises step as shown in Figure 5 further.
Step S41: the correlation matrix of structure student attribute variable.
Suppose there is student attribute variable: A educational background-undergraduate education, B length of service-1 were to 3 years, C work position-representative of sales & marketing.Relevance is between any two expressed by following square matrix in advance:
| A: undergraduate education | B:1-3 | C: representative of sales & marketing | |
| A: undergraduate education | 1 | 0.3 | 0.7 |
| B:1-3 | 0.3 | 1 | 0.5 |
| C: representative of sales & marketing | 0.7 | 0.5 | 1 |
The value of the degree of association is [0,1], and such as, undergraduate education is relatively applicable to being representative of sales & marketing, then settings are 0.7; And undergraduate education has higher demand to training in work 1 year, and the training requirement of 1-3 reduces, so value 0.3.
Note that value is here empirical value, namely by people for setting, relation of its association can adjust according to the service condition of reality, with close to final legitimate result.
Step S42: carry out first time interative computation to correlation matrix, obtains the transitive closure of correlation matrix.
Specific algorithm is:
In upper example:
During first time iteration:
The degree of correlation of A and B becomes:
Max{Min(R(A,A),R(A,B)),Min(R(A,B),R(B,B)),Min(R(A,C),R(C,B))}
＝Max{Min(1,0.3),Min(0.3,1),Min(0.7,0.5)}
＝Max{0.3,0.3,0.5}
＝0.5
The degree of correlation of A and C becomes:
Max{Min(R(A,A),R(A,C)),Min(R(A,B),R(B,C)),Min(R(A,C),R(C,C))}
＝Max{Min(1,0.7),Min(0.3,1),Min(0.7,0.5)}
＝Max{0.7,0.3,0.5}
＝0.7
The degree of correlation of B and C becomes:
Max{Min(R(B,A),R(A,C)),Min(R(B,B),R(B,C)),Min(R(B,C),R(C,C))}
＝Max{Min(0.3,0.7),Min(1,0.5),Min(0.5,1)}
＝Max{0.3,0.5,0.5}
＝0.5
The degree of correlation on other lines is easily known, therefore the result of iteration is for the first time:
| A: undergraduate education | B:1-3 | C: representative of sales & marketing | |
| A: undergraduate education | 1 | 0.5 | 0.7 |
| B:1-3 | 0.5 | 1 | 0.5 |
| C: representative of sales & marketing | 0.7 | 0.5 | 1 |
Step S43: step S42 first time iteration basis on carry out second time iteration.
The degree of correlation of A and B becomes:
Max{Min(R(A,A),R(A,B)),Min(R(A,B),R(B,B)),Min(R(A,C),R(C,B))}
＝Max{Min(1,0.5),Min(0.5,1),Min(0.7,0.5)}
＝Max{0.5,0.5,0.5}
＝0.5
The degree of correlation of A and C becomes:
Max{Min(R(A,A),R(A,C)),Min(R(A,B),R(B,C)),Min(R(A,C),R(C,C))}
＝Max{Min(1,0.7),Min(0.5,1),Min(0.7,0.5)}
＝Max{0.7,0.5,0.5}
＝0.7
The degree of correlation of B and C becomes:
Max{Min(R(B,A),R(A,C)),Min(R(B,B),R(B,C)),Min(R(B,C),R(C,C))}
＝Max{Min(0.5,0.7),Min(1,0.5),Min(0.5,1)}
＝Max{0.5,0.5,0.5}
＝0.5
Result is:
| A: undergraduate education | B:1-3 | C: representative of sales & marketing | |
| A: undergraduate education | 1 | 0.5 | 0.7 |
| B:1-3 | 0.5 | 1 | 0.5 |
| C: representative of sales & marketing | 0.7 | 0.5 | 1 |
Step S44: judge that whether twice, front and back interative computation result is consistent, if inconsistent, return step S43 and again carry out interative computation, if consistent, enter step S45.
Step S45: the user of student request is mapped in the vector of matrix.
Matrix corresponding during iteration stopping is designated as variable relation matrix V.For each subject, the vector of an all properties variable composition can be mapped to: (A, B, C), wherein the span of A, B, C is { 0,1}.If course therewith variable is correlated with, is then designated as 1, otherwise is then 0.
Therefore, user's request of student can be mapped in this group vector (A, B, C).Student have selected and have selected certain attribute when submitting request to, then corresponding variate-value is 1, otherwise is then 0.
Citing calculates:
Vector is above-mentioned vector:
A: undergraduate education B:1-3 C: representative of sales & marketing;
User has two people:
The attribute of user 1 is: (0,0,1), and the attribute of user 2 is (1,1,0).
Course is following two subjects journey:
" new employee--from ordinary to outstanding ", corresponding vector is (0,1,1);
" demonstrate under battle conditions preparations (on) ", corresponding vectorial (0,0,1).
Step S46: user asked the vector of the matrix mapped to carry out the expansion of the degree of association.
If user vector be B (b1 ... bi), then in the vectorial B ' after expanding:
In upper example, b ' 1=max{b1*V (a1, a1), b2*V (a2, a1), b3*V (a3, a1) }
＝max{0*1,0*0.5,1*0.7}
＝max{0,0,0.7}
＝0.7
In like manner, b ' 2=0.5, b ' 3=1
So the attribute vector of user 1 is expanded as (0.7,0.5,1), in like manner, the attribute vector of user 2 is expanded as (1,1,0.7).
Step S47: carry out the vector that course maps and expand.
The vector of course also can carried out in advance, need not do when each calculating, such as:
C’1＝(0.7,1,1)
C’2＝(0.7,0.5,1)
Step S48: calculate the angle that user asks vector and the object vector mapped.
Now adopt the angle (step S48) of the mode computation requests vector sum object vector of cosine angle.
Account form is basis
For user 1,
With the similarity cosine value of course-" new employee--from ordinary to outstanding " be:
With the similarity cosine value of course-" demonstrate under battle conditions prepare (on) " be:
For user 2:
With the similarity cosine value of course-" new employee--from ordinary to outstanding " be:
With the similarity cosine value of course-" demonstrate under battle conditions prepare (on) " be:
Cosine value, more close to 1, just shows more similar.
End product can present according to the descending of cosine value.
Above-described embodiment is available to those of ordinary skill in the art to realize or uses of the present invention; those of ordinary skill in the art can be without departing from the present invention in the case of the inventive idea; various modifications or change are made to above-described embodiment; thus protection scope of the present invention not limit by above-described embodiment, and should be the maximum magnitude meeting the inventive features that claims are mentioned.
Claims (2)
1. a pushing learning resource system, comprises database module, processing module, arranges module, display module and editor module, wherein:
This database module stores student data, student's attribute, education resource data, education resource attribute, association between student's attribute and education resource attribute;
This processing module, connect this database module, by correlation matrix algorithm, process operation is carried out to this database module, based on the association between described student's attribute and education resource attribute, obtain the degree of correlation of student and education resource, and the association between student's attribute of storing of the student's attribute provided according to this editor module and this database module and education resource attribute, determine the education resource inventory pushed;
This arranges module, connects this database module by this processing module, the student's attribute stored in setting data storehouse, education resource data, education resource attribute, association between student's attribute and education resource attribute;
This display module, connects this database module by this processing module, display student attribute menu, education resource attribute menu, with the education resource inventory of student's attributes correlation higher than a threshold value;
This editor module, connects this database module by this processing module, receives the input of student, to student's attribute of this processing module transmission student input;
Wherein said student's attribute comprises the objective attribute of student and the subjective attribute of student, wherein the objective attribute of student comprises age of student, length of service, the character of the most well educated, work enterprise, the post attribute of a work recently, the enterprise management level of a work recently and management culture feature, and the subjective attribute of student comprises preference, the preference of study form, the preference to business administration culture of student to learning content;
Described education resource attribute comprises and adapts to post attribute, adapt to its work enterprise attributes, student's educational background background, age and length of service, any one combination among study preference;
Wherein said processing module comprises matrix construction unit, transitive closure computing unit, consistance judging unit further, user asks map unit, user asks to expand unit, Resource Properties expands unit, angle calcu-lation unit, wherein:
Described matrix construction unit, the correlation matrix of structure student attribute variable;
Described transitive closure computing unit, connects described matrix construction unit, carries out to described correlation matrix the transitive closure that interative computation obtains described correlation matrix;
Described consistance judging unit, connect described transitive closure computing unit, judge that whether twice, the front and back interative computation result in described transitive closure computing unit is consistent, if inconsistent, continue the computing being carried out next round by described transitive closure computing unit, if consistent, ask map unit to process by described user;
Described user asks map unit, connects described consistance judging unit, is mapped in the vector of matrix by user's request;
Described user asks to expand unit, connects described user and asks map unit, ask the vector mapped to carry out the expansion of the degree of association user;
Described Resource Properties expands unit, connects described user and asks to expand unit, expand, become object vector to the vector that course maps;
Described angle calcu-lation unit, connects described Resource Properties and expands unit, the angle of computation requests vector sum object vector, and carry out the sequence of correlativity based on angle.
2. a pushing learning resource method, comprising:
Student's attribute, education resource data, education resource attribute, association between student's attribute and education resource attribute are set;
Display student's attribute or reception student input are to determine corresponding student's attribute;
According to student's attribute, association between student's attribute and education resource attribute, obtain the degree of correlation of student and education resource, display and the education resource inventory of student's attributes correlation higher than a threshold value;
Wherein said student's attribute comprises the objective attribute of student and the subjective attribute of student, wherein the objective attribute of student comprises age of student, length of service, the character of the most well educated, work enterprise, the post attribute of a work recently, the enterprise management level of a work recently and management culture feature, and the subjective attribute of student comprises preference, the preference of study form, the preference to business administration culture of student to learning content;
Described education resource attribute comprises and adapts to post attribute, adapt to its work enterprise attributes, student's educational background background, age and length of service, any one combination among study preference;
The step wherein obtaining the degree of correlation of student and education resource according to student's attribute, association between student's attribute and education resource attribute comprises further:
The correlation matrix of structure student attribute variable;
Successive ignition computing is carried out to described correlation matrix, obtains the transitive closure of described correlation matrix;
Judge that whether twice, front and back interative computation result is consistent, if inconsistent, return previous step and carry out interative computation, if consistent, the user of student request is mapped in the vector of matrix;
The vector of the matrix mapped user is asked to carry out the expansion of the degree of association;
The vector that course maps is expanded, becomes object vector;
Calculate the angle that user asks vector and the object vector mapped, and carry out the sequence of correlativity based on angle.
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