CN113822604A - Online education platform cloud resource management system based on intelligent analysis - Google Patents
Online education platform cloud resource management system based on intelligent analysis Download PDFInfo
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Abstract
The invention discloses the technical field of online education platforms, and aims to solve the problems that the existing online education platform is too huge in operation mechanism, too disordered in content, difficult to regularly and accurately discriminate education resources, and high in online platform redundancy, and particularly discloses an online education platform cloud resource management system based on intelligent analysis, which comprises a data acquisition unit, a taught evaluation unit, a teaching evaluation unit, an auxiliary discrimination unit, an integrated operation and maintenance unit and a resource allocation unit; according to the online education platform resource management method and system, a plurality of user sides are established, and data information and other information used by the online education platform are respectively called and analyzed in different categories from the student side, the teacher side and the education management side, so that the teaching resources of the online education platform are effectively screened and regulated, the redundancy burden of the online education platform is reduced, and meanwhile, the maximum utilization of the resources of the online education platform is achieved.
Description
Technical Field
The invention relates to the technical field of online education platforms, in particular to an online education platform cloud resource management system based on intelligent analysis.
Background
The online education platform is a zero-distance brand-new communication mode oriented to national resource sharing, aims to improve the learning efficiency and further improves the knowledge learning efficiency of students by utilizing advanced network technology and changing the communication and class-giving mode between teachers and students on the premise of improving the learning efficiency;
with the development of the internet era, more and more enterprises and colleges adopt an online education teaching mode, online education can fully utilize fragmentation time, break through regional limitation, optimize education resource allocation and enable learning to be efficient, but the existing online education platform generally has the following problems in resource management:
1. the online education platform has too large operation mechanism and disordered contents, and is difficult to accurately discriminate and regulate education resources;
2. a huge course system brings certain redundancy to the online education platform, and a large amount of unnecessary burden is caused to the cloud management of the online education platform;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that the existing online education platform is too huge in operation mechanism, too disordered in content, difficult to regularly and accurately discriminate education resources and high in online platform redundancy, and through establishing a plurality of user terminals and performing classified calling and analysis on data information and other information used by the online education platform from a student terminal, a teacher terminal and an education management terminal respectively, the teaching resources of the online education platform are effectively discriminated and regularly, the redundancy burden of the online education platform is reduced, the maximum utilization of the resources of the online education platform is realized, and the online education platform cloud resource management system based on intelligent analysis is provided.
The purpose of the invention can be realized by the following technical scheme:
an online education platform cloud resource management system based on intelligent analysis comprises a data acquisition unit, a taught evaluation unit, a teaching evaluation unit, an auxiliary judgment unit, an integrated operation and maintenance unit and a resource allocation unit;
the data acquisition unit is used for acquiring the taught data information of the student end of the online education cloud platform and sending the taught data information to the taught evaluation unit; the data acquisition unit is also used for acquiring the teaching data information of the teacher end of the online education cloud platform and sending the teaching data information to the teaching evaluation unit; the data acquisition unit is also used for acquiring auxiliary decision data information of an education management end of the online education cloud platform and sending the auxiliary decision data information to the auxiliary judgment unit;
the taught evaluation unit is used for evaluating, analyzing and processing the taught value of the received taught data information of the student end, obtaining a high-quality signal and a secondary signal of the teaching according to the taught value, and sending the high-quality signal and the secondary signal to the integrated operation and maintenance unit; the teaching evaluation unit is used for carrying out teaching quality evaluation analysis processing on the received data information of the optional education at the teacher end, obtaining a teaching quality signal, a teaching secondary signal and a teaching half-and-half signal according to the teaching quality information, and sending the teaching quality signal, the teaching secondary signal and the teaching half-and-half signal to the integration operation and maintenance unit;
the auxiliary judgment unit is used for carrying out data resource influence judgment processing on the received auxiliary decision data information of the education management terminal, obtaining a positive influence signal and a negative influence signal according to the data resource influence judgment processing, and sending the positive influence signal and the negative influence signal to the integration operation and maintenance unit;
the integration operation and maintenance unit carries out resource integration and proofreading processing on the received taught signal, the teaching signal and the influence auxiliary signal, generates a high-grade platform signal, a middle-grade platform signal and a low-grade platform signal according to the resource integration and proofreading processing, and sends the high-grade platform signal, the middle-grade platform signal and the low-grade platform signal to the resource allocation unit;
the resource allocation unit is used for performing cloud resource management allocation processing on the online education platform according to the received high-grade platform signal, the medium-grade platform signal and the low-grade platform signal, generating an allocation signal according to the cloud resource management allocation processing, and sending the allocation signal to the education management terminal for resource reallocation operation.
As a preferred embodiment of the present invention, the taught data information includes an individual characteristic value, an education value and a kindergarten course ratio, the individual characteristic value is used to represent the self literacy value of the student end user in unit time, the education value is used to represent the comparably increased value of the number of times of logging in the platform and the taught time length of the student end user in unit time, and the kindergarten course ratio is used to represent the ratio between the basic course of the student end user to be completed by teaching and the interesting course of irrelevant teaching;
the teaching data information comprises a teacher resource value and a course value, the teacher resource value is used for representing the geometric relation between the teaching time and the teaching literacy value of the teacher, and the course value represents the proportion value of the popular course number of the online education platform to the total course number;
the assistant decision data information comprises online number, course point reading amount and course retrieval amount, wherein the online number represents the total number of people who all students on line in unit time, the course point reading amount represents the total value of all courses of the online education platform clicked and searched in unit time, and the course retrieval amount represents the total value of all courses of the online education platform retrieved in unit time.
As a preferred embodiment of the invention, the specific operation steps of the taught value evaluation analysis process are as follows:
obtaining individual characteristic value, teaching value and basic course ratio in the teaching data information of each student at the student end in unit time, and respectively obtaining the individual characteristic value, the teaching value and the basic course ratio
、
And
the individual characteristic value
Teaching value
"Heji" curriculum ratio
Performing quantization processing to extract individual characteristic value
Teaching value
"Heji" curriculum ratio
And substituting the numerical value into a calculation formula according to the formula
I = {1, 2, 3.. n }, and n is a positive integer greater than or equal to 1, and the taught evaluation value is obtained
Wherein, in the step (A),
、
and
respectively being individual characteristic values
Teaching value
"Heji" curriculum ratio
Is a coefficient of an error factor of, and
，
；
will be taught to evaluate
Substituting the corresponding preset threshold value
When the value is taught
At a preset threshold
When the evaluation value is in the range of (1), generating a signal of good quality in the teaching, and when the evaluation value in the teaching is in the range of (1)
At a preset threshold
Out of range, then an taught secondary signal is generated.
As a preferred embodiment of the invention, the specific operation steps of the teaching quality assessment analysis processing are as follows:
acquiring teacher resource value and course quantity value in the teaching data information of each teacher at the teacher end in unit time, and respectively setting the values as the teacher resource value and the course quantity value
And
j = {1, 2, 3.. m }, and m is a positive integer greater than or equal to 1;
value of teacher's resources
And curriculum quantity
Respectively substituted into the corresponding preset ranges
And
comparing signals and obtaining the value of teacher's resources
Less than a predetermined range
When the value is the minimum value, generating a teacher-resource weak signal, and taking the teacher-resource weak signal as a teacher-resource value
Within a preset range
In the middle, the teacher-resource general signal is generated and used as the teacher-resource value
Greater than a predetermined range
Generating a teacher-resource-strength signal when the maximum value is reached;
when the class size is
Less than a predetermined range
At the minimum, a class shortage signal is generated, and the class value is used as
Within a preset range
When the current time is middle, a course general signal is generated, and the magnitude of the course is equal to that of the current time
Greater than a predetermined range
When the current time is less than the maximum value, generating a curriculum-rich signal;
marking a teacher resource general signal, a teacher resource strong signal, a course general signal and a course rich signal as pass signals, and marking a teacher resource weak signal and a course deficient signal as fail signals;
acquiring passing signals and failing signals in unit time, carrying out collection integration analysis on the passing signals and the failing signals, generating teaching high-quality signals when the number of the passing signals obtained by the collection is greater than that of the failing signals, generating teaching secondary signals when the number of the passing signals obtained by the collection is less than that of the failing signals, and generating teaching half-and-half signals when the number of the passing signals obtained by the collection is equal to that of the failing signals.
As a preferred embodiment of the present invention, the specific operation steps of the data resource influence evaluation processing are as follows:
randomly capturing the online number, the course point reading amount and the course retrieval amount in the assistant decision data information in a period of time, and respectively marking the online number, the course point reading amount and the course retrieval amount as
、
And
the number of people to be online
The amount of the curriculum to be read
And amount of course search
Performing quantization processingExtracting the number of online people
The amount of the curriculum to be read
And amount of course search
And substituting the numerical value into a calculation formula according to the formula
To find out the assistant decision value
Wherein, in the step (A),
in order to assist in the decision-making factors,
the value of the carbon dioxide is 5.18,
、
and
respectively the number of online people
The amount of the curriculum to be read
And amount of course search
Coefficient of correction factor of, and
；
will assist in decision value
Substituting into a predetermined judgment value
When the assistant decision value is
Greater than or equal to the preset judgment value
Then generating positive influence signal, and using the assistant decision value
Less than a predetermined judgment value
Then a negative influence signal is generated.
As a preferred implementation of the present invention, the specific operation steps of the resource integration and proofreading process are as follows:
when the high-quality signal to be taught and the high-quality signal to be taught are acquired simultaneously, the high-level platform signal is output, when the secondary signal to be taught and the secondary signal to be taught are acquired simultaneously, the low-level platform signal is output, and under other conditions, the influence auxiliary signal in the auxiliary judging unit is called, and two-stage comparison analysis processing is carried out.
As a preferred embodiment of the present invention, the specific operation steps of the two-stage alignment analysis process are as follows:
extracting the taught signal and the teaching signal, and respectively carrying out two-stage signal comparison on the taught signal and the teaching signal with the influence auxiliary signal;
when the signals acquired at the same time are a high-quality signal to be taught and a secondary signal to be taught or the high-quality signal to be taught and the secondary signal to be taught and the high-quality signal to be taught, if the called influence auxiliary signal is a positive influence signal, a middle-stage platform signal is output, and if the called influence auxiliary signal is a negative influence signal, a low-stage platform signal is output;
when the signals acquired simultaneously contain teaching half-and-half signals, at this time, if the called influence auxiliary signal is a positive influence signal, a middle-stage platform signal is output, and at this time, if the called influence auxiliary signal is a negative influence signal, a bad-stage platform signal is output.
As a preferred embodiment of the present invention, the specific operation steps of the cloud resource management allocation process are as follows:
when a high-level platform signal is acquired, capturing the information of the arbitrary education data in unit time, generating a highlighted distribution signal according to the acquired information, and when receiving the highlighted distribution signal, a manager at an education management end calls teacher information and course information in unit time and pushes the teacher information and the course information to a highlighted version block of the cloud platform for highlighting;
when the intermediate platform signal is acquired, capturing the instructional data information in unit time, generating a general outstanding distribution signal according to the instructional data information, and when receiving the general outstanding distribution signal, a manager of the education management end calls teacher information and course information in unit time and pushes the teacher information and the course information to the secondary outstanding section of the cloud platform for display;
and when the inferior platform signal is acquired, generating a withdrawal distribution signal according to the inferior platform signal, and when receiving the withdrawal distribution signal, the administrator of the education management terminal calls corresponding course information and carries out off-shelf processing on the course.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the student end and the teacher end of the online education cloud platform are analyzed and integrated respectively, so that the education situation of students and the teaching situation of teachers on the online education platform are accurately analyzed and evaluated, and therefore accurate and effective discrimination and judgment of teaching resources are achieved;
2. according to the invention, the online education cloud platform is comprehensively and accurately evaluated in a symbolized calibration, formulaic output and auxiliary judgment mode, so that the redundancy burden of the online education platform is reduced, and the maximum utilization of the online education platform resources is realized.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a general block diagram of the system of the present invention;
FIG. 2 is a block diagram of a second processing path according to the second embodiment of the present invention;
FIG. 3 is a block diagram of a third processing path according to an embodiment of the present invention;
FIG. 4 is a block diagram of four processing paths according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, an online education platform cloud resource management system based on intelligent analysis includes a data acquisition unit, a taught evaluation unit, a teaching evaluation unit, an auxiliary judgment unit, an integrated operation and maintenance unit, and a resource allocation unit;
the data acquisition unit is used for acquiring the taught data information of the student end of the online education cloud platform and sending the taught data information to the taught evaluation unit, wherein the taught data information comprises an individual characteristic value, a teaching value and a basic course ratio, the individual characteristic value is used for expressing the self-literacy value of the student end user in unit time, wherein, the higher the expression value of the individual characteristic value is, the stronger the online learning quality of the student end user is, otherwise, the weaker the online learning quality of the student end user is, the teaching value is used for expressing the comparable growth value of the login platform times and the taught time length of the student end user in unit time, wherein, the larger the expression value of the teaching value is, the better the learning atmosphere of the student end user is, otherwise, the learning atmosphere of the student end user is poor, the basic course ratio is used for representing the ratio of the basic course of the student end user which needs to be taught and finished to the interest course of irrelevant teaching;
wherein, the unit time represents 1 month time;
the data acquisition unit is also used for acquiring the arbitrary teaching data information of the teacher end of the online education cloud platform and sending the arbitrary teaching data information to the teaching evaluation unit, and it needs to be explained that the arbitrary teaching data information is used for expressing the teacher resource amount and the teaching ability strong and weak data information of the online education platform, the arbitrary teaching data information comprises a teacher resource value and a course quantity value, the teacher resource value is used for expressing the geometric relation between the teaching time and the teaching literacy value of the teacher, and the course quantity value expresses the proportion value of the popular course number of the online education platform to the total course number;
the data acquisition unit is also used for acquiring auxiliary decision data information of an education management end of the online education cloud platform and sending the auxiliary decision data information to the auxiliary judgment unit, and it needs to be explained that the auxiliary decision data information comprises online number, course point reading amount and course retrieval amount, the online number represents the total number of people who all student ends are online in unit time, the course point reading amount represents the total value of all courses clicked and consulted in the online education platform in unit time, and the course retrieval amount represents the total value of all courses retrieved in the online education platform in unit time;
the taught evaluation unit is used for evaluating, analyzing and processing the taught value of the received taught data information of the student end, obtaining a high-quality signal and a secondary signal of the teaching according to the taught value, and sending the high-quality signal and the secondary signal to the integrated operation and maintenance unit; the teaching evaluation unit is used for carrying out teaching quality evaluation analysis processing on the received data information of the optional education at the teacher end, obtaining a teaching quality signal, a teaching secondary signal and a teaching half-and-half signal according to the teaching quality information, and sending the teaching quality signal, the teaching secondary signal and the teaching half-and-half signal to the integration operation and maintenance unit;
the auxiliary judgment unit is used for carrying out data resource influence judgment processing on the received auxiliary decision data information of the education management terminal, obtaining a positive influence signal and a negative influence signal according to the data resource influence judgment processing, and sending the positive influence signal and the negative influence signal to the integration operation and maintenance unit;
the integration operation and maintenance unit carries out resource integration and proofreading processing on the received taught signal, the teaching signal and the influence auxiliary signal, generates a high-grade platform signal, a middle-grade platform signal and a low-grade platform signal according to the resource integration and proofreading processing, and sends the high-grade platform signal, the middle-grade platform signal and the low-grade platform signal to the resource allocation unit;
the resource allocation unit is used for performing cloud resource management allocation processing on the online education platform according to the received high-grade platform signal, the medium-grade platform signal and the low-grade platform signal, generating an allocation signal according to the cloud resource management allocation processing, and sending the allocation signal to the education management terminal for resource reallocation operation.
Example two:
as shown in fig. 1 and 2, the data acquisition unit is used for acquiring the educated data information of the student end of the online education cloud platform and sending the information to the educated evaluation unit;
the taught evaluation unit is used for evaluating, analyzing and processing the taught value of the received taught data information of the student terminal, and comprises the following specific operation steps:
obtaining individual characteristic value, teaching value and basic course ratio in the teaching data information of each student at the student end in unit time, and respectively obtaining the individual characteristic value, the teaching value and the basic course ratio
、
And
the individual characteristic value
Teaching value
"Heji" curriculum ratio
Performing quantization processing to extract individual characteristic value
Teaching value
"Heji" curriculum ratio
And substituting the numerical value into a calculation formula according to the formula
I = {1, 2, 3.. n }, and n is a positive integer greater than or equal to 1, and the taught evaluation value is obtained
Wherein, in the step (A),
、
and
respectively being individual characteristic values
Teaching value
"Heji" curriculum ratio
Is a coefficient of an error factor of, and
，
；
the error factor coefficient is used for reducing the coefficient of the calculation error among all numerical values in the formula calculation, so that the accuracy of the formula calculation is improved;
will be taught to evaluate
Substituting the corresponding preset threshold value
When the value is taught
At a preset threshold
When the evaluation value is in the range of (1), generating a signal of good quality in the teaching, and when the evaluation value in the teaching is in the range of (1)
At a preset threshold
Generating a taught secondary signal when outside of the range of (c);
and the high-quality signal of the education and the secondary signal of the education are both sent to the integrated operation and maintenance unit.
Example three:
as shown in fig. 1 and fig. 3, the data acquisition unit is also used for acquiring the instructional data information of the teacher end of the online education cloud platform and sending the instructional data information to the teaching evaluation unit;
the teaching evaluation unit is used for carrying out teaching quality evaluation analysis processing on the received teaching data information of the teacher end, and comprises the following specific operation steps:
acquiring teacher resource value and course quantity value in the teaching data information of each teacher at the teacher end in unit time, and respectively setting the values as the teacher resource value and the course quantity value
And
j = {1, 2, 3.. m }, and m is a positive integer greater than or equal to 1;
value of teacher's resources
And curriculum quantity
Respectively substituted into the corresponding preset ranges
And
comparing signals and obtaining the value of teacher's resources
Less than a predetermined range
When the value is the minimum value, generating a teacher-resource weak signal, and taking the teacher-resource weak signal as a teacher-resource value
Within a preset range
In the middle, the teacher-resource general signal is generated and used as the teacher-resource value
Greater than a predetermined range
Generating a teacher-resource-strength signal when the maximum value is reached;
when the class size is
Less than a predetermined range
When the minimum value is less than the predetermined value, a course lack signal is generatedWhen the class size is
Within a preset range
When the current time is middle, a course general signal is generated, and the magnitude of the course is equal to that of the current time
Greater than a predetermined range
When the current time is less than the maximum value, generating a curriculum-rich signal;
marking a teacher resource general signal, a teacher resource strong signal, a course general signal and a course rich signal as pass signals, and marking a teacher resource weak signal and a course deficient signal as fail signals;
acquiring passing signals and failing signals in unit time, carrying out collection integration analysis on the passing signals and the failing signals, generating teaching high-quality signals when the number of the passing signals obtained by the collection is greater than that of the failing signals, generating teaching secondary signals when the number of the passing signals obtained by the collection is smaller than that of the failing signals, and generating teaching half-and-half signals when the number of the passing signals obtained by the collection is equal to that of the failing signals;
and the teaching high-quality signal, the teaching secondary signal and the teaching half-and-half signal are sent to the integrated operation and maintenance unit.
Example four:
as shown in fig. 1 and 4, the data collecting unit is further configured to collect auxiliary decision data information of an education management end of the online education cloud platform, and send the auxiliary decision data information to the auxiliary judging unit;
the auxiliary judgment unit is used for carrying out data resource influence judgment processing on the received auxiliary decision data information of the education management terminal, and the specific operation steps are as follows:
randomly capturing the online number, the course point reading amount and the course retrieval amount in the assistant decision data information in a period of time, and respectively marking the online number, the course point reading amount and the course retrieval amount as
、
And
the number of people to be online
The amount of the curriculum to be read
And amount of course search
Performing quantitative processing to extract online number of people
The amount of the curriculum to be read
And amount of course search
And substituting the numerical value into a calculation formula according to the formula
To find out the assistant decision value
Wherein, in the step (A),
in order to assist in the decision-making factors,
、
and
respectively the number of online people
The amount of the curriculum to be read
And amount of course search
Coefficient of correction factor of, and
，
， 
the value is 5.18, wherein the correction factor coefficient is used for correcting the influence degree of each data in the calculation formula on the calculation result;
will assist in decision value
Substituting into a predetermined judgment value
When the assistant decision value is
Greater than or equal to the preset judgment value
Then generating positive influence signal, and using the assistant decision value
Less than a predetermined judgment value
And generating a negative influence signal, and sending the positive influence signal and the negative influence signal to the integrated operation and maintenance unit.
Example five:
as shown in fig. 1, the integrated operation and maintenance unit performs resource integration and verification processing on the received teaching signal, teaching signal and influencing auxiliary signal, and the specific operation steps are as follows:
when a taught high-quality signal and a teaching high-quality signal are simultaneously obtained, a high-level platform signal is output, when a taught secondary signal and a teaching secondary signal are simultaneously obtained, a low-level platform signal is output, otherwise, an influence auxiliary signal in the auxiliary judgment unit is called, two-level comparison analysis processing is carried out, specifically, the taught signal and the teaching signal are extracted and are respectively subjected to two-level signal comparison with the influence auxiliary signal;
when the signals acquired at the same time are a high-quality signal to be taught and a secondary signal to be taught or the high-quality signal to be taught and the secondary signal to be taught and the high-quality signal to be taught, if the called influence auxiliary signal is a positive influence signal, a middle-stage platform signal is output, and if the called influence auxiliary signal is a negative influence signal, a low-stage platform signal is output;
when the signals acquired simultaneously contain teaching half-and-half signals, at the moment, if the called influence auxiliary signals are positive influence signals, middle-level platform signals are output, at the moment, if the called influence auxiliary signals are negative influence signals, inferior-level platform signals are output, and the high-level platform signals, the middle-level platform signals and the inferior-level platform signals are sent to the resource allocation unit;
the resource allocation unit is used for carrying out cloud resource management allocation processing on the online education platform according to the received high-level platform signal, the medium-level platform signal and the low-level platform signal, generating an allocation signal according to the allocation signal and sending the allocation signal to the education management terminal for resource reallocation operation, wherein when the high-level platform signal is obtained, the religious data information in unit time is captured, the outstanding allocation signal is generated according to the religious data information, and when the manager of the education management terminal receives the outstanding allocation signal, teacher information and course information in unit time are retrieved and pushed to the outstanding edition block of the cloud platform for outstanding display;
when the intermediate platform signal is acquired, capturing the instructional data information in unit time, generating a general outstanding distribution signal according to the instructional data information, and when receiving the general outstanding distribution signal, a manager of the education management end calls teacher information and course information in unit time and pushes the teacher information and the course information to the secondary outstanding section of the cloud platform for display;
and when the inferior platform signal is acquired, generating a withdrawal distribution signal according to the inferior platform signal, and when receiving the withdrawal distribution signal, the administrator of the education management terminal calls corresponding course information and carries out off-shelf processing on the course.
The above formulas are obtained by collecting a large amount of data and performing software simulation, and the coefficients in the formulas are set by those skilled in the art according to actual conditions.
When the online education cloud platform teaching aid is used, accurate evaluation and analysis of teaching conditions of student ends of the online education cloud platform are realized by acquiring relevant teaching data information of the student ends of the online education cloud platform, and performing symbolic calibration, formulaic processing and signalized output;
symbolic calibration and signal comparison output are carried out on teaching data of a teacher end of the online education cloud platform, so that accurate discrimination of teacher-end teacher-resource force of the online education cloud platform is realized;
the education situation of students on the online education platform and the teaching situation of teachers are judged in a combined mode, auxiliary judgment is carried out through platform auxiliary decision data, and then teaching resource information of the online education cloud platform is effectively integrated and regulated, so that the resource data of the online education platform are integrated and utilized to the maximum extent, and the redundancy of teaching resources is further reduced;
through the analysis and the rule of intelligent data, carry out the analysis of classification and the analysis of calling out from the data information and other information of the online education platform of student end, teacher end and education management end's use respectively, carry out effectual management with the education resource of online education cloud platform, make online education resource obtain the maximize utilization and promote, and then carry out effectual discrimination and rule to the teaching resource of online education platform, when reducing online education redundancy platform burden, the maximize utilization of online education platform resource has also been realized.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. An online education platform cloud resource management system based on intelligent analysis is characterized by comprising a data acquisition unit, a taught evaluation unit, a teaching evaluation unit, an auxiliary judgment unit, an integration operation and maintenance unit and a resource allocation unit;
the data acquisition unit is used for acquiring the taught data information of the student end of the online education cloud platform and sending the taught data information to the taught evaluation unit; the data acquisition unit is also used for acquiring the teaching data information of the teacher end of the online education cloud platform and sending the teaching data information to the teaching evaluation unit; the data acquisition unit is also used for acquiring auxiliary decision data information of an education management end of the online education cloud platform and sending the auxiliary decision data information to the auxiliary judgment unit;
the taught evaluation unit is used for evaluating, analyzing and processing the taught value of the received taught data information of the student end, obtaining a high-quality signal and a secondary signal of the teaching according to the taught value, and sending the high-quality signal and the secondary signal to the integrated operation and maintenance unit; the teaching evaluation unit is used for carrying out teaching quality evaluation analysis processing on the received data information of the optional education at the teacher end, obtaining a teaching quality signal, a teaching secondary signal and a teaching half-and-half signal according to the teaching quality information, and sending the teaching quality signal, the teaching secondary signal and the teaching half-and-half signal to the integration operation and maintenance unit;
the auxiliary judgment unit is used for carrying out data resource influence judgment processing on the received auxiliary decision data information of the education management terminal, obtaining a positive influence signal and a negative influence signal according to the data resource influence judgment processing, and sending the positive influence signal and the negative influence signal to the integration operation and maintenance unit;
the integration operation and maintenance unit carries out resource integration and proofreading processing on the received taught signal, the teaching signal and the influence auxiliary signal, generates a high-grade platform signal, a middle-grade platform signal and a low-grade platform signal according to the resource integration and proofreading processing, and sends the high-grade platform signal, the middle-grade platform signal and the low-grade platform signal to the resource allocation unit;
the resource allocation unit is used for performing cloud resource management allocation processing on the online education platform according to the received high-grade platform signal, the medium-grade platform signal and the low-grade platform signal, generating an allocation signal according to the cloud resource management allocation processing, and sending the allocation signal to the education management terminal for resource reallocation operation.
2. The cloud resource management system for the online education platform based on the intelligent analysis as claimed in claim 1, wherein the education data information includes individual characteristic values, education values and basic courses ratios, the individual characteristic values are used for representing self literacy values of the student end users in unit time, the education values are used for representing the same-ratio growth values of the number of times of logging in the platform and the length of the education time in unit time, and the basic courses are used for representing the ratio of basic courses to be completed by education and interest courses not related to education of the student end users;
the teaching data information comprises a teacher resource value and a course value, the teacher resource value is used for representing the geometric relation between the teaching time and the teaching literacy value of the teacher, and the course value represents the proportion value of the popular course number of the online education platform to the total course number;
the assistant decision data information comprises online number, course point reading amount and course retrieval amount, wherein the online number represents the total number of people who all students on line in unit time, the course point reading amount represents the total value of all courses of the online education platform clicked and searched in unit time, and the course retrieval amount represents the total value of all courses of the online education platform retrieved in unit time.
3. The cloud resource management system of the online education platform based on the intelligent analysis as claimed in claim 1, wherein the specific operation steps of the education value evaluation analysis processing are as follows:
obtaining individual characteristic value, teaching value and basic course ratio in the teaching data information of each student at the student end in unit time, and respectively obtaining the individual characteristic value, the teaching value and the basic course ratio
、
And
according to the formula
I = {1, 2, 3.. n }, and n is a positive integer greater than or equal to 1, and the taught evaluation value is obtained
Wherein, in the step (A),
、
and
respectively being individual characteristic values
Teaching value
"Heji" curriculum ratio
Is a coefficient of an error factor of, and
，
；
will be taught to evaluate
Substituting the corresponding preset threshold value
When the value is taught
At a preset threshold
When the evaluation value is in the range of (1), generating a signal of good quality in the teaching, and when the evaluation value in the teaching is in the range of (1)
At a preset threshold
Out of range, then an taught secondary signal is generated.
4. The intelligent analysis-based online education platform cloud resource management system of claim 1, wherein the specific operation steps of the teaching quality assessment analysis process are as follows:
acquiring teacher resource value and course quantity value in the teaching data information of each teacher at the teacher end in unit time, and respectively setting the values as the teacher resource value and the course quantity value
And
j = {1, 2, 3.. m }, and m is a positive integer greater than or equal to 1;
value of teacher's resources
And curriculum quantity
Respectively substituted into the corresponding preset ranges
And
comparing signals and obtaining the value of teacher's resources
Less than a predetermined range
When the value is the minimum value, generating a teacher-resource weak signal, and taking the teacher-resource weak signal as a teacher-resource value
Within a preset range
In the middle, the teacher-resource general signal is generated and used as the teacher-resource value
Greater than a predetermined range
Generating a teacher-resource-strength signal when the maximum value is reached;
when the class size is
Less than a predetermined range
When the value of the current class is the minimum value, a class shortage signal is generated, and the class value is the value of the class
Within a preset range
When the current time is middle, a course general signal is generated, and the magnitude of the course is equal to that of the current time
Greater than a predetermined range
When the current time is less than the maximum value, generating a curriculum-rich signal;
marking a teacher resource general signal, a teacher resource strong signal, a course general signal and a course rich signal as pass signals, and marking a teacher resource weak signal and a course deficient signal as fail signals;
acquiring passing signals and failing signals in unit time, carrying out collection integration analysis on the passing signals and the failing signals, generating teaching high-quality signals when the number of the passing signals obtained by the collection is greater than that of the failing signals, generating teaching secondary signals when the number of the passing signals obtained by the collection is less than that of the failing signals, and generating teaching half-and-half signals when the number of the passing signals obtained by the collection is equal to that of the failing signals.
5. The intelligent analysis-based online education platform cloud resource management system of claim 1, wherein the specific operation steps of the data resource impact evaluation processing are as follows:
randomly capturing the online number, the course point reading amount and the course retrieval amount in the assistant decision data information in a period of time, and respectively marking the online number, the course point reading amount and the course retrieval amount as
、
And
according to the formula
To find out the assistant decision value
Wherein, in the step (A),
in order to assist in the decision-making factors,
the value of the carbon dioxide is 5.18,
、
and
respectively the number of online people
The amount of the curriculum to be read
And amount of course search
Coefficient of correction factor of, and
；
will assist in decision value
Substituting into a predetermined judgment value
When the assistant decision value is
Greater than or equal to the preset judgment value
Then generating positive influence signal, and using the assistant decision value
Less than a predetermined judgment value
Then a negative influence signal is generated.
6. The intelligent analysis-based online education platform cloud resource management system of claim 1, wherein the specific operation steps of the resource integration proofreading process are as follows:
when the high-quality signal to be taught and the high-quality signal to be taught are acquired simultaneously, the high-level platform signal is output, when the secondary signal to be taught and the secondary signal to be taught are acquired simultaneously, the low-level platform signal is output, and under other conditions, the influence auxiliary signal in the auxiliary judging unit is called, and two-stage comparison analysis processing is carried out.
7. The intelligent analysis-based online education platform cloud resource management system of claim 6, wherein the specific operation steps of the two-stage comparison analysis processing are as follows:
extracting the taught signal and the teaching signal, and respectively carrying out two-stage signal comparison on the taught signal and the teaching signal with the influence auxiliary signal;
when the signals acquired at the same time are a high-quality signal to be taught and a secondary signal to be taught or the high-quality signal to be taught and the secondary signal to be taught and the high-quality signal to be taught, if the called influence auxiliary signal is a positive influence signal, a middle-stage platform signal is output, and if the called influence auxiliary signal is a negative influence signal, a low-stage platform signal is output;
when the signals acquired simultaneously contain teaching half-and-half signals, at this time, if the called influence auxiliary signal is a positive influence signal, a middle-stage platform signal is output, and at this time, if the called influence auxiliary signal is a negative influence signal, a bad-stage platform signal is output.
8. The cloud resource management system of the online education platform based on the intelligent analysis as claimed in claim 1, wherein the specific operation steps of the cloud resource management allocation process are as follows:
when a high-level platform signal is acquired, capturing the information of the arbitrary education data in unit time, generating a highlighted distribution signal according to the acquired information, and when receiving the highlighted distribution signal, a manager at an education management end calls teacher information and course information in unit time and pushes the teacher information and the course information to a highlighted version block of the cloud platform for highlighting;
when the intermediate platform signal is acquired, capturing the instructional data information in unit time, generating a general outstanding distribution signal according to the instructional data information, and when receiving the general outstanding distribution signal, a manager of the education management end calls teacher information and course information in unit time and pushes the teacher information and the course information to the secondary outstanding section of the cloud platform for display;
and when the inferior platform signal is acquired, generating a withdrawal distribution signal according to the inferior platform signal, and when receiving the withdrawal distribution signal, the administrator of the education management terminal calls corresponding course information and carries out off-shelf processing on the course.
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