CN106991187A - The analysis method and device of a kind of campus data - Google Patents
The analysis method and device of a kind of campus data Download PDFInfo
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Abstract
The invention discloses a kind of analysis method of campus data and device, it is related to data analysis technique field, it is possible to achieve analysis obtains analyzing the corresponding analysis result of target from the data of campus, obtains the information of user's needs.Methods described includes：When receiving the analysis instruction for data of arriving school, the analysis target of the campus data to be analyzed carried in the analysis instruction is obtained；The interior data characteristics corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed is extracted, and determines predetermined analysis rule corresponding with the analysis target, wherein, different analysis targets corresponds to different predetermined analysis rules respectively；According to the data characteristics of extraction and the predetermined analysis rule determined, the campus data to be analyzed are analyzed, analysis result corresponding with the analysis target is obtained.The present invention is applied to the analysis of campus data.
Description
Technical field
The present invention relates to a kind of data analysis technique field, the analysis method and dress of more particularly to a kind of campus data
Put.
Background technology
Informationization is that based on modern communicationses, network, database technology, institute's each key element of research object is collected to data
Storehouse, a kind of skill being combined for specific crowd life, work, study, aid decision etc. and the closely bound up various actions of the mankind
Art, after the technology, can greatly improve the efficiency of various actions, to promote progress of human society to provide great technology
Support.
With going deep into for educational reform, the today increasingly deepened in informationization, Intelligent campus and safety Campus Construction are by height
School informationization is advanced to new developing stage, and various types of data constantly precipitate, and colleges and universities are in the challenge in face of new situations
Under, it is necessary to constantly brought forth new ideas in teaching management means and method.Meanwhile, under information-based popularization and application for many years, colleges and universities
Various information management systems have accumulated mass data to a certain extent.Comprehensive point is done using these mass datas
Analysis is assessed, and value -capture turns into the basic demand of numerous colleges and universities from data analysis.
The content of the invention
In view of this, the invention provides a kind of analysis method of campus data and device, main purpose is can be real
Now analysis obtains analyzing the corresponding analysis result of target from the data of campus, the information of user's needs is obtained, so as to according to these
Obtained information is analyzed, corresponding teaching management is carried out.
According to one aspect of the invention there is provided a kind of analysis method of campus data, this method includes：
When receiving the analysis instruction for data of arriving school, the campus data to be analyzed carried in the acquisition analysis instruction
Analyze target；
The interior data characteristics corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed is extracted, and
It is determined that predetermined analysis rule corresponding with the analysis target, wherein, different analysis targets corresponds to different predetermined points respectively
Analysis rule；
According to the data characteristics of extraction and the predetermined analysis rule determined, the campus data to be analyzed are entered
Row analysis, obtains analysis result corresponding with the analysis target.
According to another aspect of the invention there is provided a kind of analytical equipment of campus data, the device includes：
Acquiring unit, what is carried for when receiving the analysis instruction for data of arriving school, obtaining in the analysis instruction treats
Analyze the analysis target of campus data；
Extraction unit, it is corresponding with the analysis target in predetermined amount of time for extracting in the campus data to be analyzed
Data characteristics；
Determining unit, for determining predetermined analysis rule corresponding with the analysis target, wherein, different analysis targets
Different predetermined analysis rules are corresponded to respectively；
Analytic unit, for the data characteristics according to extraction and the predetermined analysis rule determined, is treated to described
Analysis campus data are analyzed, and obtain analysis result corresponding with the analysis target.
According to another aspect of the present invention there is provided the analytical equipment of another campus data, the device includes：
Processor, is configured as：
When receiving the analysis instruction for data of arriving school, the campus data to be analyzed carried in the acquisition analysis instruction
Analyze target；
The interior data characteristics corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed is extracted, and
It is determined that predetermined analysis rule corresponding with the analysis target, wherein, different analysis targets corresponds to different predetermined points respectively
Analysis rule；
According to the data characteristics of extraction and the predetermined analysis rule determined, the campus data to be analyzed are entered
Row analysis, obtains analysis result corresponding with the analysis target；
Memory, is configured as storing the executable instruction of the processor；
Bus, is configured as coupling the processor and the memory.
By above-mentioned technical proposal, the technical scheme that the present invention is provided at least has following advantages：
The analysis method and device for a kind of campus data that the present invention is provided, first according to the analysis of campus data to be analyzed
Target, from extracting data corresponding data characteristics in campus to be analyzed, and determines corresponding predetermined analysis rule, then basis
The data characteristics and predetermined analysis rule, can analyze from campus data to be analyzed and obtain analysis corresponding with the analysis target
As a result, the information of user's needs is obtained, so as to the information obtained according to these analyses, corresponding teaching management is carried out.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, and in order to allow above and other objects of the present invention, feature and advantage can
Become apparent, below especially exemplified by the embodiment of the present invention.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit is common for this area
Technical staff will be clear understanding.Accompanying drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole accompanying drawing, identical part is denoted by the same reference numerals.In the accompanying drawings：
Fig. 1 shows a kind of analysis method schematic flow sheet of campus data provided in an embodiment of the present invention；
Fig. 2 shows a kind of schematic diagram of lost contact students ' analysis result provided in an embodiment of the present invention；
Fig. 3 shows a kind of schematic diagram for indulging network students ' analysis result provided in an embodiment of the present invention；
Fig. 4 shows a kind of schematic diagram of poor student's analysis result provided in an embodiment of the present invention；
Fig. 5 shows a kind of analytical equipment structural representation of campus data provided in an embodiment of the present invention；
Fig. 6 shows a kind of entity apparatus structural representation of campus data analysis provided in an embodiment of the present invention；
Embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in accompanying drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Complete conveys to those skilled in the art.
The embodiments of the invention provide a kind of analysis method of campus data, as shown in figure 1, this method includes：
101st, when data analysis instructions are arrived school in reception, point of the campus data to be analyzed carried in analysis instruction is obtained
Analyse target.
Wherein, analysis target can be school's the analysis of public opinion, lost contact students ' analysis, addiction network students ' analysis, poor study assiduously
Analysis estranged, TQA analysis, Students ' Employment analysis, e-book utilization of resources analysis etc..
In embodiments of the present invention, all kinds of campus data can be collected by the various information management systems of colleges and universities, as
Campus data to be analyzed, wherein, campus data can the relevant information including students, student's dining situation, college student's consumption
It is situation, teachers ' teaching situation, library resource service condition, online about comment information of school etc..
Executive agent for the embodiment of the present invention can be the device for campus data analysis, and user can be according to reality
Border needs, and input includes the analysis instruction that campus data to be analyzed are carried out with respective objects analysis, when the device receives this point
, can be according to the analysis targets of the campus data to be analyzed carried in the analysis instruction, to campus data to be analyzed during analysis instruction
Progress, which is analyzed, obtains analysis result corresponding with the analysis target, that is, performs step 102 to the process described in step 103.
102nd, the interior data characteristics corresponding with analysis target of predetermined amount of time in campus data to be analyzed is extracted, and is determined
Predetermined analysis rule corresponding with analysis target.
Wherein, different analysis targets corresponds to different predetermined analysis rules respectively.For the embodiment of the present invention, Ke Yigen
Each self-corresponding analysis rule is compiled in advance according to different analysis targets, and each compiled analysis rule is stored in specifically
In storage location, for example, each compiled analysis rule will can be stored in specific database or mapping table, needing
When analyzing campus data to be analyzed, therefrom called accordingly.Further, pre- setting analysis is advised in order to meet
The demand being then updated, can also to schedule be spaced and predetermined analysis rule is updated, and increase new analysis rule
Then or existing analysis rule is changed, and then the analysis corresponding with analysis target for accurately analyzing user's needs can be realized
As a result.Wherein predetermined time interval can be set according to the actual requirements, for example, it can be set to for weekly or per two weeks etc..
In embodiments of the present invention, predetermined amount of time can carry out respective settings in advance according to actual needs, if for example,
User needs to analyze the campus data in the first half of the year in 2010, and predetermined amount of time can be June 30 1 day to 2010 January in 2010
This period day.
Current student's lost contact causes the case of dead or serious public sentiment event to be often reported in media, and lacks self-discipline and oneself
A part of student of my protective awareness, in the case where not asking for leave or informing classmate, gone over the side school, and connection is lost for a long time
System, tends to trigger security incident or public opinion event, the Students to school bring severe challenge.On solving
Problem is stated, in an alternate embodiment of the present invention where, can be using lost contact students ' analysis as analysis target, and then can be timely
Identify lost contact student, and carry out corresponding measure, it is corresponding the need for from the data characteristics of campus extracting data to be analyzed be pre-
In section of fixing time the corresponding consumption recording information of each student, and/or online activation record information, and/or gate inhibition's record information,
And/or attendance record information, and/or book borrowing and reading record information.
Wherein, predetermined amount of time can be with the time model in one week before present analysis time point, two weeks, one month
Enclose；Consumption recording information can include the consumption in the student place such as supermarket, dining room, teaching building in the school, specifically can be with base
Judged in the consumption of all-in-one campus card；The situation that online activation record information can in the school surf the Net comprising student,
Specifically include the price bidding in the places such as bedroom, teaching building, library, laboratory building；Gate inhibition's record information can exist comprising student
The discrepancy situation on the ground such as dormitory, school gate, library, natatorium；The work attendance that attendance record information can attend class comprising student
Situation, work attendance situation of activity etc.；Book borrowing and reading record information can include student's borrowing on the ground such as library or bookstore
Read books situation.
Corresponding analysis rule is pre-configured with according to these above-mentioned information, for example, analysis rule can be configured to inspection
Survey in one week before present analysis time point with the presence or absence of it is without campus consumer record, do not have internet records in the school, do not have
Have in the school come in and go out record, also do not attend class record and borrow books record student, so as to identify doubtful lost contact
Student.
It is annual at present to have many students due to detesting student life or self-control difference and enthrallment network game, gently then cause
Delay school work to be left school by school, it is heavy then cause psychological abnormality or sudden death.Addiction network has become harm student's physical and mental health hair
One of killer of exhibition.In order to solve the above problems, in another alternative embodiment of the invention, network student can will be indulged
Analysis can identify the student of addiction network in time as analysis target, and carry out corresponding measure, it is corresponding the need for from
The data characteristics of campus extracting data to be analyzed be in predetermined amount of time the corresponding online action message of each student, and/or
Gate inhibition's record information, and/or student performance record information, and/or record information of having dinner of swiping the card.
Wherein, predetermined amount of time can be with one month before present analysis time point, the time range in two months；
Surfing the Net action message can be comprising information such as the daily online duration of student, surf time section, online applications；Gate inhibition's record information
The discrepancy situation of student dormitory, school gate within a predetermined period of time can be included；Student performance record information can include learning
Raw each subject achievement, marks sequencing, accumulative extension section door number etc.；Swipe the card have dinner record information can be comprising student in pre- timing
Between swipe the card in section the information such as the number of times having dinner, the time had dinner of swiping the card every time.
Corresponding analysis rule is pre-configured with according to these above-mentioned information, for example, analysis rule can be configured to inspection
Survey main more than certain threshold value, surf time section with the presence or absence of daily online duration in one month before present analysis time point
Concentrate at dead of night, online application mainly game application or frequent Wan Chuzaogui schools, marks sequencing or accumulative extension section door
Number is less than certain threshold value, the number of times having dinner of swiping the card and is less than the student of certain threshold value, so as to identify doubtful addiction network
Student.It should be noted that in addition to these above-mentioned information, can be combined with book borrowing and reading record information, synthetic setting phase
The analysis rule answered, to increase the accuracy of addiction network students ' analysis, for example, while above-mentioned condition is met,
Raw book borrowing and reading number of times can further illustrate student of the student for doubtful addiction network again smaller than certain threshold value.
School provides loans for supporting students, national scholarship for poor student, helped to help poor student to smoothly complete school work
Learn gold, part-work and part-study etc. it is a variety of by way of help.But defining for current poor student is mainly proved by Department of Civil Affairs, student is old
Teacher recommends, counsellor such as usually observes at the mode, and subjective factors are very big, not precisely, can cause " pseudo- poor student ", wastes limited
While resource, unjust phenomenon is caused, easily causes other students' discontented.In order to solve the above problems, in the present invention
Another alternative embodiment in, and then school can be helped to identify very using poor student's analysis as target is analyzed
Positive poor student, screens out pseudo- poor student, it is corresponding the need for from the data characteristics of campus extracting data to be analyzed be every
The corresponding consumption recording information of individual student, student performance record information, and/or learn number evidence.
Wherein, consumption recording information can include student's monthly average consumption amount of money, often meal spending amount, supermarket shopping amount of money etc.
Situation；Student performance record information can include average achievement, marks sequencing of student etc.；Learning number evidence can be comprising student's
Situations such as reward, punishment, loan.
Corresponding analysis rule is pre-configured with according to these above-mentioned information, for example, analysis rule can be configured to inspection
Survey within the half a year before present analysis time point, the monthly average consumption amount of money is less than certain threshold value, spending amount of often eating and is less than necessarily
The student of threshold value, poor student to be determined is defined as by the student；It can also detect before present analysis time point simultaneously
In half a year, it is more than certain threshold value, spending amount of often eating more than one with the presence or absence of the monthly average consumption amount of money in known poor student
Determine the pseudo- poor student of threshold value.
Teaching is the core business of colleges and universities at present, and TQA is then an important work for serving teaching management
Make.But be due to that teaching process complexity is high, teaching efficiency it is more difficult weigh, the factor such as TQA result influence face is big,
TQA is always a difficulties., can in yet another alternative embodiment of the invention in order to solve the above problems
So that TQA is analyzed as analysis target, and then the pass of school's combing teaching task and quality of instruction can be helped
Connection, is evaluated the quality of instruction quantitative of teacher, it is corresponding the need for be from the data characteristics of campus extracting data to be analyzed
Corresponding performance information, and/or students' needs information, and/or the course evaluation letter of imparting knowledge to students of each curricula in predetermined amount of time
Breath.
Wherein, predetermined amount of time can be where present analysis time point academic year or the time range in term, Huo Zheshang
One academic year or the time range in term；Teaching performance information can include the teaching achievement situation of curricula；Students' needs
Information can include curricula-variable situation of the student to curricula, shared ratio etc.；Course evaluation information can include student,
The evaluation situation to curricula such as institute, extraneous media.
Corresponding analysis rule is pre-configured with according to these above-mentioned information, for example, analysis rule can be configured into root
According to the teaching achievement, students' needs situation, course evaluation of curricula, comprehensive grading is carried out to curricula, and this is integrated
The TQA scored as curricula.
Current Students ' Employment rate and the important indicator that Quality of Employment is always measurement University Competitive Power, this two anti-mistakes of index
Also to influence the fresh source quality of colleges and universities, fresh source quality then largely affects follow-up employment rate and Quality of Employment again.
Therefore, the problem of employment is always one of important thing of numerous schools.In order to solve the above problems, another in the present invention can
Select in embodiment, can using Students ' Employment analysis as analysis target, and then can for school major adjusting, orient qualified teachers draw
Enter to provide detailed data support, it is corresponding the need for from the data characteristics of campus extracting data to be analyzed in predetermined amount of time
Each professional corresponding talent market, and/or specialized information, and/or student information.
Wherein, predetermined amount of time can be where present analysis time point academic year or the time range in term, Huo Zheshang
One academic year or the time range in term；Talent market can the employment rate comprising specialty, employment emolument, employment sector, employment
Situations such as ground, employment dynamic；The row that major name of the specialized information comprising specialty, the study content of specialty, specialty are mainly directed towards
The information such as industry；Student information can include the information such as institute, educational background, the sex where employment student.
Corresponding analysis rule is pre-configured with according to these above-mentioned information, for example, analysis rule can be configured to inspection
Survey the specialty that employment rate is more than certain threshold value；Detection employment ground proportion is more than the city of certain threshold value；Statistics employment student
Each source of students ground in accounting for a certain proportion of source of students；Count the shared ratio of sex, specialty, the sex difference of employment student
Deng, and then corresponding analysis result can be analyzed using these analysis results as Students ' Employment.
Current school can all spend high funds to be used to buy e-book resource every year, but for a long time, electronic chart
The utilization ratio of book resource is not high, causes the waste of e-book resource, meanwhile, the e-sourcing library that many teachers and students need
It can not provide again., can be by e-book resource profit in another alternative embodiment of the present invention in order to solve the above problems
With analysis as analysis target, and then the letter such as the proposed key discipline set of colleges and universities or laboratory, key research items can be combined
Breath carries out the deep learning of big data analysis and historical data, excavates teachers and students to the demand of e-book resource, it is corresponding the need for
It is the corresponding clicking rate letter of each e-book resource in predetermined amount of time from the data characteristics of campus extracting data to be analyzed
Breath, and/or download rate information, and/or popular search key word information.
Wherein, predetermined amount of time can be where present analysis time point academic year or the time range in term, Huo Zheshang
One academic year or the time range in term；Clicking rate information can include e-book resource being clicked within a predetermined period of time
Number of times situation；Download rate information can comprising e-book resource within a predetermined period of time be downloaded number of times situation；Hot topic is searched
Rope key word information can be directed to the popular search keyword that e-book resource is scanned for comprising user.
Corresponding analysis rule is pre-configured with according to these above-mentioned information, for example, analysis rule can be configured to inspection
Survey number of clicks in predetermined amount of time and be more than the e-book resource that certain threshold value, download time are more than certain threshold value, Yi Jitong
Meter obtains the keyword that searching times are more than certain threshold value, is used as popular search keyword.
103rd, according to the data characteristics of extraction and the predetermined analysis rule of determination, campus data to be analyzed are analyzed,
Obtain analysis result corresponding with analysis target.
In embodiments of the present invention, it can be analyzed from campus data to be analyzed and obtain analysis corresponding with the analysis target
As a result, the information of user's needs is obtained, so as to the information obtained according to these analyses, corresponding teaching management is carried out.
If analysis target is lost contact students ' analysis, step 103 can specifically include：Can according to one kind in step 102
Select in the predetermined amount of time extracted in embodiment the corresponding consumption recording information of each student, and/or online activation record information,
And/or gate inhibition's record information, and/or attendance record information, and/or book borrowing and reading record information, detect whether to exist to be determined
Lost contact User；According to testing result, it is determined that analysis result corresponding with lost contact students ' analysis.
Specifically, according to consumption recording information, detect whether there is the User without consumer record in preset time period；
And/or according to online activation record information, detect whether to exist the User without online activation record in preset time period；
And/or according to gate inhibition's record information, detect whether to exist the User without the record that comes in and goes out in campus in preset time period；With/
Or according to attendance record information, detect whether there is the User without attendance record in preset time period；And/or according to books
Record is borrowed, detects whether there is the User recorded in preset time period without book borrowing and reading；It is default when detect to exist
User in period without online activation record in User, and/or preset time period without consumer record, and/or
In preset time period in campus without come in and go out record User, and/or preset time period in the User without attendance record,
And/or preset time period in without book borrowing and reading record User when, it is determined that there is lost contact User to be determined.
If for example, one week interior each place not in campus of student A before present analysis time point had
Consumer record, internet records, the record that comes in and goes out, attend class and the attendance record and book borrowing and reading of activity record, then can be with
Student A is primarily determined that as lost contact User to be determined, it is possible to count corresponding lost contact duration, export corresponding lost contact point
Analysis result is checked to Ministry of worker door or counsellor, and then can identify the User of doubtful lost contact, to lost contact student
Timely early warning is carried out, specifically can be with as shown in Fig. 2 the User information of doubtful lost contact be showed into Ministry of worker door or counsellor
Checked；Can also be when the lost contact duration of doubtful lost contact student be more than certain threshold value, active push gives Ministry of worker door or auxiliary
The person of leading, so as to allow Ministry of worker door or counsellor to learn the student's list of doubtful lost contact the very first time, takes reply to arrange in time
Apply, farthest eliminate potential potential safety hazard.
If it is addiction network students ' analysis to analyze target, step 103 can specifically include：According to another in step 102
Corresponding action message, and/or the gate inhibition's record letter of surfing the Net of each student in the predetermined amount of time extracted in a kind of alternative embodiment
Breath, and/or student performance record information, and/or record information of having dinner of swiping the card, detect whether there is addiction network student to be determined
User；According to testing result, it is determined that analysis result corresponding with addiction network students ' analysis.
Specifically, according to online action message, detect whether that there is average online duration is more than or equal to scheduled duration threshold
The User of value；And/or according to gate inhibition's record information, the interior student with the presence or absence of the outgoing record in campus of detection preset time period
User；And/or according to student performance record information, detect whether that there is accumulative extension section door number is more than or equal to predetermined door number threshold
Value, and/or marks sequencing are less than or equal to default name subthreshold, and/or average achievement is less than or equal to default achievement threshold value
User；And/or according to record information of having dinner of swiping the card, detect whether to exist in preset time period swipe the card have dinner number of times be less than or
Equal to the User of default frequency threshold value of having dinner；It is more than or equal to scheduled duration threshold value when detecting to exist averagely online duration
User, and/or preset time period in there is the outgoing record in campus User, and/or accumulative extension section door number be more than
Or be less than or wait less than or equal to default name subthreshold, and/or average achievement equal to predetermined door number threshold value, and/or marks sequencing
In User, and/or preset time without attendance record in the User, and/or preset time period of default achievement threshold value
Section in swipe the card have dinner number of times be less than or equal to preset have dinner frequency threshold value User when, it is determined that there is addiction network to be determined
User.
If for example, online duration almost daily in one month before present analysis time point student a is both greater than
10 hours and the main application surfed the Net daily is game application, then student a can be defined as to lost contact student to be determined and used
Family；If student b is almost late to go out early to return and accumulative extension section door number daily in one month before present analysis time point
Or marks sequencing is less than or equal to certain threshold value, swipes the card and has dinner number of times again smaller than certain threshold value, then can be defined as student b
Lost contact User to be determined., can be according to institute or specialty to this after each lost contact User to be determined is determined
A little lost contact Users to be determined are classified, and are presented to the Ministry of worker point or counsellor, specifically can be with as shown in figure 3, in figure
Ordinate represents that accumulative extension section door number, abscissa represent daily online duration, so can realize presentation each institute of school or
The crowd of specialty addiction network, accomplishes to indulge the early warning of network student, allows Ministry of worker door or counsellor to recognize addiction network in time
Student, so as to take measures to be intervened as early as possible, to help the custom for breaking away from addiction network early, smoothly complete school work.
If analyzing target to analyze for poor student, step 103 can specifically include：According to another in step 102
The corresponding consumption recording information of each student in the predetermined amount of time extracted in alternative embodiment, student performance record information and/
Or number evidence is learned, detect whether there is poor student user to be determined and pseudo- poor student user；According to testing result, it is determined that
With the corresponding analysis result of poor student's analysis.
Specifically, according to consumption recording information, detect that there is amount of consumption average period is less than or equal to default amount threshold
The User of value；If there is the User that amount of consumption average period is less than or equal to default amount threshold value, it is determined that exist
Poor student user to be determined, and student performance record information and/or number evidence according to poor student user to be determined are right
Poor student user to be determined is classified；If there is poor student's use that amount of consumption average period is more than default amount threshold value
Family, it is determined that poor student user is pseudo- poor student user.
If for example, student's B monthly average consumptions amount of money be less than or equal to certain threshold value and often meal spending amount again smaller than or wait
In certain threshold value, then student B is defined as poor student user to be determined, can it is determined that after poor student user to be determined
To combine the student performance record information of these poor students to be determined and/or learn number evidence, these poor students are divided
Class, can specifically be divided into enterprising class poor student, intermediate poor student, laggard class poor student etc., based on school or institute
Existing resource (national scholarship, all kinds of scholarships, part-work and part-study chance etc.), implements targetedly tactful, specifically can be as
Shown in Fig. 4, the judging panel personnel of poor student are presented to, the wherein abscissa in figure represents monthly average spending amount, ordinate table
Show the spending amount of every meal；If student C is known poor student simultaneously, but student's monthly average consumption amount of money is more than necessarily
Threshold value and often meal spending amount is also greater than certain threshold value, the spending amount exceeds poor student's level of consumption, then can be with
Student C is defined as pseudo- poor student user.By the above method school can be helped to identify real poor student, will known
Other result is appraised and chosen excellent as student, scholarship, the important reference of part-work and part-study post distribution, is precisely helped so as to realize
It is poor, realize the fair allocat of resource.
If analyzing target to analyze for TQA, step 103 can specifically include：According in step 102 again
Each curricula corresponding impart knowledge to students performance information, and/or student's choosing in the predetermined amount of time extracted in a kind of alternative embodiment
Class information, and/or course evaluation information, TQA is carried out to each curricula；According to TQA result,
It is determined that with the corresponding analysis result of TQA analysis.
Specifically, according to teaching performance information, the corresponding teaching scoring of each curricula is calculated；And/or according to student
Curricula-variable information, calculates the corresponding curricula-variable scoring of each curricula；And/or according to course evaluation information, calculate each teaching class
Corresponding evaluate of journey is scored, according to teaching scoring, and/or curricula-variable scoring, and/or evaluation scoring, it is determined that each curricula pair
The quality of instruction scoring answered, to be scored according to the quality of instruction, determines the corresponding TQA result of curricula.
If higher, student is preferable to curricula A curricula-variable situation for example, curricula A teaching is scored, student,
The evaluation to curricula A such as institute, extraneous media is preferable, illustrates that curricula A teaching scoring, curricula-variable are scored, commented
It is point all very high, and then corresponding quality of instruction scoring is also higher, subsequently can be with so as to illustrate that curricula A qualities of instruction are higher
Mining analysis is carried out, curricula A teacher is found, potential high-quality teacher, auxiliary school can be excavated for school
Formulate teaching check-up system index, while give a course as teacher, the reference frame of students' needs.
If analyzing target to analyze for Students ' Employment, step 103 can specifically include：According to another in step 102
Each professional corresponding talent market, and/or specialized information, and/or student in the predetermined amount of time extracted in alternative embodiment
Information, carries out Students ' Employment analysis to each specialty, obtains and the corresponding analysis result of Students ' Employment analysis.
For example, by the employment rate of current academic year and each specialty of several academic years in past, employment average compensation, employment
Industry, employment city, the source of students for the student that obtains employment etc. factor carried out with the dimension such as institute, educational background, sex where employment student
Depth intersection is analyzed, and analysis obtains the specialty that employment rate is more than certain threshold value, the main employment sector of employment student, it is main just
The information such as industry city, main source of students, and sex, the specialty easily obtained employment, and then can be presented Students ' Employment shape comprehensively
Condition, is that graduate carries out Employment Guidance so as to provide major field selection instruction for outstanding source of students, to learn
Major adjusting, the orientation teachers introduction in school provide detailed data support.
If analyzing target to analyze for the e-book utilization of resources, step 103 can specifically include：According in step 102
Another alternative embodiment in the predetermined amount of time that extracts the corresponding clicking rate information of each e-book resource, and/or
Download rate information, and/or popular search key word information, to each e-book resource carry out utilization of resources analysis, obtain with
Corresponding analysis result is analyzed in the e-book utilization of resources.
For example, accumulative number of clicks, the accumulative download time of each e-book resource within this term etc. is counted, and
Occurrence number is more than the search keyword of certain threshold value, according to accumulative number of clicks, accumulative download time to e-book resource
Ranking is carried out, and ranking is carried out to search keyword according to occurrence number, popular search keyword is obtained；Can also be according to electricity
The classification of sub- library resource is classified, and obtains popular science category, literature, data class, periodical class, law class, humane class etc., and press
Accumulative number of clicks, accumulative download time according to the e-book resource of each classification, are integrated into pie analysis chart and show use
Family, and then school can be helped effectively to comb demand point of the school teachers and students to e-book resource, it is Library Acquisition electronic chart
Book resource provides detailed data support.
It should be noted that for analysis method provided in an embodiment of the present invention, except that can apply in campus data point
Beyond the scene of analysis, other scenes are can be applied in, for example, hospital data analysis, company data analysis, plant data analysis
Etc. scene, analysis method provided in an embodiment of the present invention can be applied, analysis obtains the information of user's needs, to carry out phase
The management answered, is not limited in this embodiment of the present invention.
The analysis method of a kind of campus data provided in an embodiment of the present invention, first according to the analysis of campus data to be analyzed
Target, from extracting data corresponding data characteristics in campus to be analyzed, and determines corresponding predetermined analysis rule, then basis
The data characteristics and predetermined analysis rule, can analyze from campus data to be analyzed and obtain analysis corresponding with the analysis target
As a result, the information of user's needs is obtained, so as to the information obtained according to these analyses, corresponding teaching management is carried out.
Further, implementing as Fig. 1 methods describeds, the embodiments of the invention provide a kind of point of campus data
Analysis apparatus, as shown in figure 5, described device includes：Acquiring unit 21, extraction unit 22, determining unit 23, analytic unit 24.
Acquiring unit 21, can be used for when data analysis instructions are arrived school in reception, obtains in the analysis instruction and carries
Campus data to be analyzed analysis target, acquiring unit 21 be the present apparatus in obtain analysis target main functional modules.
Extraction unit 22, can be used for extracting in the campus data to be analyzed in predetermined amount of time with the acquiring unit
The 21 corresponding data characteristicses of analysis target obtained, extraction unit 22 is the major function mould of extraction data characteristics in the present apparatus
Block.
Determining unit 23, is determined for predetermined analysis rule corresponding with the analysis target, wherein, different points
Analysis target corresponds to different predetermined analysis rules respectively, and determining unit 23 is the pre- setting analysis of determination analysis target correspondence in the present apparatus
The main functional modules of rule.
Analytic unit 24, can be used for what is determined according to the data characteristics and determining unit 23 of the extraction of extraction unit 22
The campus data to be analyzed are analyzed by the predetermined analysis rule, are obtained analysis corresponding with the analysis target and are tied
Really, analytic unit 24 is the main functional modules of progress campus data analysis in the present apparatus.
In order to find lost contact student, the extraction unit 22 in time, if specifically can be used for the analysis target is lost contact
Students ' analysis, then extract in the campus data to be analyzed in predetermined amount of time each corresponding consumption recording information of student and/
Or online activation record information, and/or gate inhibition's record information, and/or attendance record information, and/or library borrow record letter
Breath.
The analytic unit 24, specifically can be used for according to the consumption recording information, and/or the online activation record
Information, and/or gate inhibition's record information, and/or the attendance record information, and/or library borrow record information, detection
With the presence or absence of lost contact User to be determined；According to testing result, it is determined that analysis result corresponding with the lost contact students ' analysis.
The analytic unit 24, specifically can be also used for according to the consumption recording information, when detecting whether to have default
Between the User without consumer record in section；And/or according to the online activation record information, detect whether there is preset time
User without online activation record in section；And/or according to gate inhibition's record information, detect whether there is preset time period
User without the record that comes in and goes out in interior campus；And/or according to the attendance record information, detect whether there is preset time period
The interior User without attendance record；And/or recorded according to the book borrowing and reading, detect whether to exist in preset time period without figure
Book borrows the User of record；When User without consumer record in the preset time period for detecting to exist, and/or default
User without the record that comes in and goes out in campus in User, and/or preset time period without online activation record in period,
And/or used in preset time period in User, and/or preset time period without attendance record without the student that book borrowing and reading is recorded
During family, it is determined that there is lost contact User to be determined.
In order to find to indulge network student, the extraction unit 22, if specifically can be also used for the analysis target in time
For addiction network students ' analysis, then the corresponding work of surfing the Net of each student in predetermined amount of time in the campus data to be analyzed is extracted
Dynamic information, and/or gate inhibition's record information, and/or student performance record information, and/or record information of having dinner of swiping the card.
The analytic unit 24, specifically can be also used for according to the online action message, and/or gate inhibition record letter
Breath, and/or the student performance record information, and/or the record information of having dinner of swiping the card, detect whether there is addiction to be determined
Network User；According to testing result, it is determined that analysis result corresponding with the addiction network students ' analysis.
The analytic unit 24, specifically can be also used for according to the online action message, detect whether exist on average
Net duration is more than or equal to the User of scheduled duration threshold value；And/or according to gate inhibition's record information, detect preset time
With the presence or absence of the User of the outgoing record in campus in section；And/or according to the student performance record information, detect whether exist
Accumulative extension section door number is more than or equal to predetermined door number threshold value, and/or marks sequencing be less than or equal to default name subthreshold, and/or
Average achievement is less than or equal to the User of default achievement threshold value；And/or according to the record information of having dinner of swiping the card, detection is
It is no to there is User of the number of times less than or equal to default frequency threshold value of having dinner of having dinner of being swiped the card in preset time period；When detecting to deposit
There is campus in User, and/or preset time period of the average online duration more than or equal to scheduled duration threshold value to go out
The User of record, and/or accumulative extension section door number are less than or waited more than or equal to predetermined door number threshold value, and/or marks sequencing
It is less than or equal to the User, and/or preset time period of default achievement threshold value in default name subthreshold, and/or average achievement
Swiped the card in interior User, and/or preset time period without attendance record and have dinner number of times less than or equal to default number of times threshold of having dinner
During the User of value, it is determined that there is addiction network User to be determined.
In order to which real poor student, the extraction unit 22 is recognized accurately, if specifically can be also used for the analysis
Target is poor student's analysis, then extracts in the campus data to be analyzed the corresponding consumption of each student in predetermined amount of time and remember
Record information, student performance record information, and/or learn number evidence.
The analytic unit 24, specifically can be also used for according to the consumption recording information, student performance record letter
Breath, and/or the number evidence, detect whether there is poor student user to be determined and pseudo- poor student user；According to inspection
Survey result, it is determined that with the corresponding analysis result of poor student analysis.
The analytic unit 24, specifically can be also used for, according to the consumption recording information, detecting there is average period
The amount of consumption is less than or equal to the User of default amount threshold value；If there is amount of consumption average period is less than or equal to default amount
The User of threshold value, it is determined that there is poor student user to be determined, and according to the poor student user to be determined
Generate achievement record information and/or learn number evidence, the poor student user to be determined is classified；If having average period to disappear
Take the poor student user that volume is more than default amount threshold value, it is determined that the poor student user is pseudo- poor student user.
In order to accurately realize that the TQA of colleges and universities works, the extraction unit 22, if specifically can be also used for
The analysis target is analyzed for TQA, then extracts in the campus data to be analyzed and each imparted knowledge to students in predetermined amount of time
The corresponding teaching performance information of course, and/or students' needs information, and/or course evaluation information.
The analytic unit 24, specifically can be also used for according to the teaching performance information, and/or students' needs letter
Breath, and/or the course evaluation information, TQA is carried out to each curricula；According to TQA result,
It is determined that with the corresponding analysis result of TQA analysis.
The analytic unit 24, specifically can be also used for, according to the teaching performance information, calculating each curricula pair
The teaching scoring answered；And/or according to the students' needs information, calculate the corresponding curricula-variable scoring of each curricula；And/or root
According to the course evaluation information, calculate corresponding evaluate of each curricula and score, scored, and/or described according to the teaching
Curricula-variable is scored, and/or described evaluate is scored, it is determined that the corresponding quality of instruction scoring of each curricula.
In order to solve the problems, such as Students ' Employment, the extraction unit 22, if specifically can be also used for the analysis target to learn
Adult Students ' Employment is analyzed, then extract in the campus data to be analyzed in predetermined amount of time each professional corresponding talent market, and/or
Specialized information, and/or student information.
The analytic unit 24, specifically can be also used for according to the talent market, and/or the specialized information, and/or
The student information, carries out Students ' Employment analysis to each specialty, obtains and the corresponding analysis result of Students ' Employment analysis.
The problem of in order to solve the e-book wasting of resources, the extraction unit 22, if specifically can be also used for described point
It is e-book utilization of resources analysis to analyse target, then extracts in the campus data to be analyzed each electronic chart in predetermined amount of time
The corresponding clicking rate information of book resource, and/or download rate information, and/or popular search key word information.
The analytic unit 24, specifically can be also used for according to the clicking rate information, and/or the download rate information,
And/or the popular search key word information, utilization of resources analysis is carried out to each e-book resource, obtained and the electronics
Library resource utilizes and analyzes corresponding analysis result.
It should be noted that each functional unit involved by a kind of analytical equipment of campus data provided in an embodiment of the present invention
Other it is corresponding describe, may be referred to the correspondence description in Fig. 1, will not be repeated here.
A kind of analytical equipment of campus data provided in an embodiment of the present invention, including：Acquiring unit, extraction unit, determination
Unit, analytic unit.The analysis target for the campus data to be analyzed that extraction unit is obtained according to acquiring unit first, to be analyzed
The corresponding data characteristics of campus extracting data, and determining unit determine corresponding predetermined analysis rule, then analytic unit
According to the data characteristics and predetermined analysis rule, it can be analyzed from campus data to be analyzed and obtain corresponding with the analysis target
Analysis result, obtains the information of user's needs, so as to the information obtained according to these analyses, carries out corresponding teaching management.
Embodiment based on above-mentioned method as shown in Figure 1 and device as shown in Figure 5, the embodiment of the present invention additionally provides one kind
The entity apparatus of campus data analysis, as shown in fig. 6, the device includes：Processor 31, memory 32, bus 33.
Processor 31, can be configured as：When data analysis instructions are arrived school in reception, obtain and taken in the analysis instruction
The analysis target of the campus data to be analyzed of band；Extract in the campus data to be analyzed in predetermined amount of time with the analysis mesh
Corresponding data characteristics is marked, and determines predetermined analysis rule corresponding with the analysis target, wherein, different analysis targets
Different predetermined analysis rules are corresponded to respectively；It is right according to the data characteristics of extraction and the predetermined analysis rule determined
The campus data to be analyzed are analyzed, and obtain analysis result corresponding with the analysis target.
Memory 32, can be configured as storing the executable instruction of the processor.
Bus 33, can be configured as coupling the processor and the memory.
The processor 31, can specifically be configured as：If the analysis target is lost contact students ' analysis, extract described
Each corresponding consumption recording information of student, and/or online activation record information in predetermined amount of time in campus data to be analyzed,
And/or gate inhibition's record information, and/or attendance record information, and/or book borrowing and reading record information；Believed according to the consumer record
Breath, and/or the online activation record information, and/or gate inhibition's record information, and/or the attendance record information and/
Or book borrowing and reading record information, detect whether there is lost contact User to be determined；According to testing result, it is determined that with the lost contact
The corresponding analysis result of students ' analysis.
The processor 31, can specifically be configured as：According to the consumption recording information, when detecting whether to have default
Between the User without consumer record in section；And/or according to the online activation record information, detect whether there is preset time
User without online activation record in section；And/or according to gate inhibition's record information, detect whether there is preset time period
User without the record that comes in and goes out in interior campus；And/or according to the attendance record information, detect whether there is preset time period
The interior User without attendance record；And/or recorded according to the book borrowing and reading, detect whether to exist in preset time period without figure
Book borrows the User of record；When User without consumer record in the preset time period for detecting to exist, and/or default
User without the record that comes in and goes out in campus in User, and/or preset time period without online activation record in period,
And/or used in preset time period in User, and/or preset time period without attendance record without the student that book borrowing and reading is recorded
During family, it is determined that there is lost contact User to be determined.
The processor 31, specifically can be additionally configured to：If the analysis target is addiction network students ' analysis, carry
Take in the campus data to be analyzed the corresponding online action message of each student, and/or gate inhibition's record letter in predetermined amount of time
Breath, and/or student performance record information, and/or record information of having dinner of swiping the card；According to the online action message, and/or described
Gate inhibition's record information, and/or the student performance record information, and/or the record information of having dinner of swiping the card, detect whether exist
Addiction network User to be determined；According to testing result, it is determined that analysis result corresponding with the addiction network students ' analysis.
The processor 31, specifically can be additionally configured to：According to the online action message, detect whether exist averagely
Online duration is more than or equal to the User of scheduled duration threshold value；And/or according to gate inhibition's record information, when detection is default
Between in section with the presence or absence of the outgoing record in campus User；And/or according to the student performance record information, detect whether to deposit
Accumulative extension section door number be more than or equal to predetermined door number threshold value, and/or marks sequencing be less than or equal to default name subthreshold and/
Or average achievement is less than or equal to the User of default achievement threshold value；And/or according to the record information of having dinner of swiping the card, detection
Number of times of being had dinner with the presence or absence of being swiped the card in preset time period is less than or equal to the User of default frequency threshold value of having dinner；When detecting
It is more than or equal in the presence of average online duration in the User of scheduled duration threshold value, and/or preset time period and exists outside campus
Go out record User, and/or accumulative extension section door number be more than or equal to predetermined door number threshold value, and/or marks sequencing be less than or
Equal to the User, and/or preset time that default name subthreshold, and/or average achievement are less than or equal to default achievement threshold value
Swiped the card in section in User, and/or preset time period without attendance record and have dinner number of times less than or equal to default number of times of having dinner
During the User of threshold value, it is determined that there is addiction network User to be determined.
The processor 31, specifically can be additionally configured to：If the analysis target is analyzed for poor student, institute is extracted
State in campus data to be analyzed the corresponding consumption recording information of each student in predetermined amount of time, student performance record information and/
Or learn number evidence；According to the consumption recording information, the student performance record information, and/or the number evidence, detection is
It is no to there is poor student user to be determined and pseudo- poor student user；According to testing result, it is determined that dividing with the poor student
Analyse corresponding analysis result.
The processor 31, specifically can be additionally configured to：According to the consumption recording information, detect there is average week
The phase amount of consumption is less than or equal to the User of default amount threshold value；If there is amount of consumption average period is less than or equal to default volume
Spend the User of threshold value, it is determined that there is poor student user to be determined, and according to the poor student user's to be determined
Student performance record information and/or number evidence, classify to the poor student user to be determined；If there is average period
The amount of consumption is more than the poor student user of default amount threshold value, it is determined that the poor student user is pseudo- poor student user.
The processor 31, specifically can be additionally configured to：If the analysis target is analyzed for TQA, carry
Take each curricula corresponding impart knowledge to students performance information, and/or student's choosing in predetermined amount of time in the campus data to be analyzed
Class information, and/or course evaluation information；According to the teaching performance information, and/or the students' needs information, and/or described
Course evaluation information, TQA is carried out to each curricula；According to TQA result, it is determined that with the religion
Learn the corresponding analysis result of quality evaluation and analysis.
The processor 31, specifically can be additionally configured to：According to the teaching performance information, each curricula is calculated
Corresponding teaching scoring；And/or according to the students' needs information, calculate the corresponding curricula-variable scoring of each curricula；And/or
According to the course evaluation information, calculate corresponding evaluate of each curricula and score, according to the teaching scoring, and/or institute
State curricula-variable scoring, and/or described evaluate is scored, it is determined that the corresponding quality of instruction scoring of each curricula.
The processor 31, specifically can be additionally configured to：If the analysis target is analyzed for Students ' Employment, institute is extracted
State in campus data to be analyzed each professional corresponding talent market, and/or specialized information, and/or student in predetermined amount of time
Information；According to the talent market, and/or the specialized information, and/or the student information, student is carried out to each specialty
Employment analysis, is obtained and the corresponding analysis result of Students ' Employment analysis.
The processor 31, specifically can be additionally configured to：If the analysis target is analyzed for the e-book utilization of resources,
Then extract in the campus data to be analyzed in predetermined amount of time the corresponding clicking rate information of each e-book resource, and/or
Download rate information, and/or popular search key word information；According to the clicking rate information, and/or the download rate information and/
Or the popular search key word information, utilization of resources analysis is carried out to each e-book resource, obtained and the electronic chart
Corresponding analysis result is analyzed in the book utilization of resources.
A kind of entity apparatus of campus data analysis provided in an embodiment of the present invention, including：Processor, memory, bus.
By the processing logic in processor, it can be analyzed from campus data to be analyzed and obtain analysis knot corresponding with analysis target
Really, the information of user's needs is obtained, so as to the information obtained according to these analyses, corresponding teaching management is carried out.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
It is understood that the correlated characteristic in the above method and device can be referred to mutually.In addition, in above-described embodiment
" first ", " second " etc. be to be used to distinguish each embodiment, and do not represent the quality of each embodiment.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein.
Various general-purpose systems can also be used together with based on teaching in this.As described above, construct required by this kind of system
Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It is understood that, it is possible to use it is various
Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the specification that this place is provided, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention
Example can be put into practice in the case of these no details.In some instances, known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it will be appreciated that in order to simplify the disclosure and help to understand one or more of each inventive aspect, exist
Above in the description of the exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：It is i.e. required to protect
The application claims of shield features more more than the feature being expressly recited in each claim.More precisely, such as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following embodiment are expressly incorporated in the embodiment, wherein each claim is in itself
All as the separate embodiments of the present invention.
Those skilled in the art, which are appreciated that, to be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more equipment different from the embodiment.Can be the module or list in embodiment
Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.In addition at least some in such feature and/or process or unit exclude each other, it can use any
Combination is disclosed to all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so to appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit is required, summary and accompanying drawing) disclosed in each feature can or similar purpose identical, equivalent by offer alternative features come generation
Replace.
Although in addition, it will be appreciated by those of skill in the art that some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of be the same as Example does not mean in of the invention
Within the scope of and form different embodiments.For example, in the following claims, times of embodiment claimed
One of meaning mode can be used in any combination.
The present invention all parts embodiment can be realized with hardware, or with one or more processor run
Software module realize, or realized with combinations thereof.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) realize a kind of analysis method of campus data according to embodiments of the present invention
And some or all functions of some or all parts in device.The present invention is also implemented as being used to perform institute here
The some or all equipment or program of device of the method for description are (for example, computer program and computer program production
Product).Such program for realizing the present invention can be stored on a computer-readable medium, or can have one or more
The form of signal.Such signal can be downloaded from internet website and obtained, and either be provided or on carrier signal to appoint
What other forms is provided.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between bracket should not be configured to limitations on claims.Word "comprising" is not excluded the presence of not
Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of some different elements and coming real by means of properly programmed computer
It is existing.In if the unit claim of equipment for drying is listed, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
Claims (9)
1. a kind of analysis method of campus data, it is characterised in that including：
When data analysis instructions are arrived school in reception, the analysis mesh of the campus data to be analyzed carried in the analysis instruction is obtained
Mark；
The interior data characteristics corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed is extracted, and is determined
Predetermined analysis rule corresponding with the analysis target, wherein, different analysis targets corresponds to different pre- setting analysis rule respectively
Then；
According to the data characteristics of extraction and the predetermined analysis rule determined, the campus data to be analyzed are divided
Analysis, obtains analysis result corresponding with the analysis target.
2. the analysis method of campus data according to claim 1, it is characterised in that if the analysis target is poor study assiduously
Analysis estranged, then it is described to extract the interior data spy corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed
Levy, specifically include：
Extract in the campus data to be analyzed the corresponding consumption recording information of each student in predetermined amount of time, student performance note
Record information, and/or learn number evidence；
The campus data to be analyzed are entered by the data characteristics according to extraction and the predetermined analysis rule determined
Row analysis, is specifically included：
According to the consumption recording information, the student performance record information, and/or the number evidence, detect whether exist
Poor student user to be determined and pseudo- poor student user；
According to testing result, it is determined that with the corresponding analysis result of poor student analysis.
3. the analysis method of campus data according to claim 1, it is characterised in that if the analysis target is teaching matter
Measure analysis and assessment, then it is described to extract the interior data corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed
Feature, is specifically included：
Extract in the campus data to be analyzed the corresponding teaching performance information of each curricula in predetermined amount of time, and/or
Students' needs information, and/or course evaluation information；
The campus data to be analyzed are entered by the data characteristics according to extraction and the predetermined analysis rule determined
Row analysis, is specifically included：
According to the teaching performance information, and/or the students' needs information, and/or the course evaluation information, to each religion
Learn course and carry out TQA；
According to TQA result, it is determined that with the corresponding analysis result of TQA analysis.
4. the analysis method of campus data according to claim 1, it is characterised in that if the analysis target be student just
Industry is analyzed, then described to extract the interior data spy corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed
Levy, specifically include：
Extract in the campus data to be analyzed each professional corresponding talent market, and/or specialized information in predetermined amount of time,
And/or student information；
The campus data to be analyzed are entered by the data characteristics according to extraction and the predetermined analysis rule determined
Row analysis, is specifically included：
According to the talent market, and/or the specialized information, and/or the student information, student is carried out just to each specialty
Industry is analyzed, and is obtained and the corresponding analysis result of Students ' Employment analysis.
5. a kind of analytical equipment of campus data, it is characterised in that including：
Acquiring unit, for when data analysis instructions are arrived school in reception, obtaining the school to be analyzed carried in the analysis instruction
The analysis target of garden data；
Extraction unit, for extracting in the campus data to be analyzed data corresponding with the analysis target in predetermined amount of time
Feature；
Determining unit, for determining predetermined analysis rule corresponding with the analysis target, wherein, different analysis target difference
The different predetermined analysis rule of correspondence；
Analytic unit, for the data characteristics according to extraction and the predetermined analysis rule determined, to described to be analyzed
Campus data are analyzed, and obtain analysis result corresponding with the analysis target.
6. the analytical equipment of campus data according to claim 5, it is characterised in that
The extraction unit, if being analyzed specifically for the analysis target for poor student, extracts the campus number to be analyzed
According to the corresponding consumption recording information of each student, student performance record information, and/or number evidence in middle predetermined amount of time；
The analytic unit, specifically for according to the consumption recording information, the student performance record information, and/or described
Number evidence is learned, detects whether there is poor student user to be determined and pseudo- poor student user；
According to testing result, it is determined that with the corresponding analysis result of poor student analysis.
7. the analytical equipment of campus data according to claim 5, it is characterised in that
The extraction unit, if being analyzed specifically for the analysis target for TQA, extracts the school to be analyzed
Corresponding performance information, and/or students' needs information, and/or the class of imparting knowledge to students of each curricula in predetermined amount of time in the data of garden
Journey evaluation information；
The analytic unit, specifically for according to the teaching performance information, and/or the students' needs information, and/or described
Course evaluation information, TQA is carried out to each curricula；
According to TQA result, it is determined that with the corresponding analysis result of TQA analysis.
8. the analytical equipment of campus data according to claim 5, it is characterised in that
The extraction unit, if being analyzed specifically for the analysis target for Students ' Employment, extracts the campus number to be analyzed
According to each professional corresponding talent market, and/or specialized information, and/or student information in middle predetermined amount of time；
The analytic unit, specifically for according to the talent market, and/or the specialized information, and/or student letter
Breath, carries out Students ' Employment analysis to each specialty, obtains and the corresponding analysis result of Students ' Employment analysis.
9. a kind of analytical equipment of campus data, it is characterised in that including：
Processor, is configured as：
When data analysis instructions are arrived school in reception, the analysis mesh of the campus data to be analyzed carried in the analysis instruction is obtained
Mark；
The interior data characteristics corresponding with the analysis target of predetermined amount of time in the campus data to be analyzed is extracted, and is determined
Predetermined analysis rule corresponding with the analysis target, wherein, different analysis targets corresponds to different pre- setting analysis rule respectively
Then；
According to the data characteristics of extraction and the predetermined analysis rule determined, the campus data to be analyzed are divided
Analysis, obtains analysis result corresponding with the analysis target；
Memory, is configured as storing the executable instruction of the processor；
Bus, is configured as coupling the processor and the memory.
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