CN106530161A - Method for building education big data model - Google Patents
Method for building education big data model Download PDFInfo
- Publication number
- CN106530161A CN106530161A CN201611021419.0A CN201611021419A CN106530161A CN 106530161 A CN106530161 A CN 106530161A CN 201611021419 A CN201611021419 A CN 201611021419A CN 106530161 A CN106530161 A CN 106530161A
- Authority
- CN
- China
- Prior art keywords
- model
- educational
- education
- big data
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000013499 data model Methods 0.000 title claims abstract description 18
- 238000010276 construction Methods 0.000 claims abstract description 33
- 230000008569 process Effects 0.000 claims abstract description 20
- 238000013461 design Methods 0.000 claims abstract description 4
- 238000004458 analytical method Methods 0.000 claims description 11
- 238000009825 accumulation Methods 0.000 claims description 10
- 238000007726 management method Methods 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 238000013480 data collection Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 3
- 230000001737 promoting effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005111 flow chemistry technique Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention discloses a method for constructing an education big data model, which belongs to the field of education informatization construction and comprises the following parts: constructing a behavior record model; building an education data standard directory model; constructing a custom education data label; an operation mechanism and a method of an educational big data model. And (3) constructing a behavior record model, establishing a user behavior record model which takes main, predicate and guest as core design elements and takes time and place key conditions as the basis, establishing a user behavior library by using the user behavior record model, and storing all behavior processes of the user. The invention solves the problems that ordered education big data production environment can not be constructed in the process of various education application construction, effective education big data achievements are accumulated, and the like, avoids application-level big data isolated islands, and realizes standard application-level education big data basic production environment.
Description
Technical field
The present invention relates to education informationization construction field, specifically a kind of side for educating big data model construction
Method.
Background technology
In education informationization construction field, it is to realize " IT application in education sector drives educational modernization development ", promotion education should
Wisdom process, construction, combing and the formation for educating big data are even more important;
In educational management information construction field, construction and the implementation achievement of the education big data in industry are substantially focused on greatly
Data technique is studied and the direction built using component, and the application implementation scene of big data is all based on the long issue of service application
According to accumulative, define mass data and have impact on business flow processing speed, solve hence with part big data technology a large amount of
Under data scene, ensure that former service application runs well, really do not carry out the structure of service application based on " big data ",
Lack the big data construction method of system.
The content of the invention
The technical assignment of the present invention is for above weak point, there is provided a kind of side for educating big data model construction
Method, can not build orderly education big data production environment in solving all kinds of educational applications processs of construction, accumulation is effectively taught
The problems such as educating big data achievement, it is to avoid " the big data isolated island " of application layer, realizes that the application layer education big data basis of standard is raw
Produce environment.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of method for educating big data model construction, including following sections:Behavior record model construction;Educational data
Standard directories model construction;The structure of self-defined educational data label;The operating mechanism and method of education big data model;Its
In,
Behavior record model construction, sets up with " subject and predicate, guest " as focal design element, based on time, place key condition
User behavior record cast, and user behavior storehouse is set up with this user behavior record cast, all of behavior of storage user
Journey;
Educational data standard directories model construction, according to education sector informationization characteristic, builds educational data standard directories, and sets
The model building method of fixed " one master and multiple slaves ", i.e., one master catalogue structural model, and with master catalogue as core, set multiple from mesh
Directory structures, master catalogue structural model are divided into three major types and are not divided, respectively:Standard code class, educational management class, education money
Source class;
The structure of self-defined educational data label, the structure of educational data standard directories model are to need constantly improve and upgrading
, the construction method of " definition/use/analysis/accumulation " is utilized, i.e.,:
Definition:Customized label content is created by main body is participated in,
Use:Other participate in main body and participate in using customized label,
Analysis:According to analysis method of colony's utilization rate more than 50%, label record is carried out into accumulation mark,
Accumulation:Identification (RFID) tag timing is collected into educational data standard directories structure, educational data standard directories are improved;
The operating mechanism and method of education big data model:Set up the system operation with educational data standard directories as core tie
Mechanism, realizes that educational data standard directories are corresponding with the matching of all kinds of educational applications, function, service and data, according to participation master
The tracking control of full process principle of recording of body and method, record and are formed the religion for participating in main body class, action process class, service result class etc.
Large data sets are educated, for example:Education and study process data collection, education process data set, religion process of scientific research data set, teaching money
Source is using process data collection, platform interdynamic process data collection etc., and then carries out a series of education big data intellectual analysis and profit
With the real construction for promoting wisdom education application.
Further, the standard code class includes:GB, terrestrial reference, rower and self-defined standard;Educational management class according to
Educational stage, educational object are divided;Educational resource class is divided according to term, field, version, teaching material, chapters and sections, knowledge point;According to
The model building method of " one master and multiple slaves ", carries out determining for " from catalogue " structural model with above-mentioned three major types master catalogue structural model
Justice.
The present invention a kind of method for educating big data model construction compared to the prior art, with following beneficial effect
Really:
The present invention has formulated the big data model building method of all kinds of educational applications, aids in all kinds of educational applications effectively can set
Meter construction education big data environment, ensure that educational application produces and accumulate effectively education big data information, realize all kinds of
Big data between educational applications interconnects, the structure of wisdom education application system that can be effectively in auxiliary area, in enterprise
Build.
Specific embodiment
With reference to specific embodiment, the invention will be further described.
A kind of method for educating big data model construction, including following sections:Behavior record model construction;Education
Data standard catalog model builds;The structure of self-defined educational data label;The operating mechanism and method of education big data model;
Wherein,
Behavior record model construction, sets up with " subject and predicate, guest " as focal design element, based on time, place key condition
User behavior record cast, and user behavior storehouse is set up with this user behavior record cast, all of behavior of storage user
Journey;
Educational data standard directories model construction, according to education sector informationization characteristic, builds educational data standard directories, and sets
The model building method of fixed " one master and multiple slaves ", i.e., one master catalogue structural model, and with master catalogue as core, set multiple from mesh
Directory structures, master catalogue structural model are divided into three major types and are not divided, respectively:Standard code class, educational management class, education money
Source class;The standard code class includes:GB, terrestrial reference, rower and self-defined standard;Educational management class is according to educational stage, religion
Educate object division;Educational resource class is divided according to term, field, version, teaching material, chapters and sections, knowledge point;According to " one master and multiple slaves "
Model building method, carries out the definition of " from catalogue " structural model with above-mentioned three major types master catalogue structural model.
The structure of self-defined educational data label, the structure of educational data standard directories model are to need constantly improve and liter
Level, the construction method of " definition/use/analysis/accumulation " is utilized, i.e.,:
Definition:Customized label content is created by main body is participated in,
Use:Other participate in main body and participate in using customized label,
Analysis:According to analysis method of colony's utilization rate more than 50%, label record is carried out into accumulation mark,
Accumulation:Identification (RFID) tag timing is collected into educational data standard directories structure, educational data standard directories are improved;
The operating mechanism and method of education big data model:Set up the system operation with educational data standard directories as core tie
Mechanism, realizes that educational data standard directories are corresponding with the matching of all kinds of educational applications, function, service and data, according to participation master
The tracking control of full process principle of recording of body and method, record and are formed the religion for participating in main body class, action process class, service result class etc.
Large data sets are educated, for example:Education and study process data collection, education process data set, religion process of scientific research data set, teaching money
Source is using process data collection, platform interdynamic process data collection etc., and then carries out a series of education big data intellectual analysis and profit
With the real construction for promoting wisdom education application.
By specific embodiment above, the those skilled in the art can readily realize the present invention.But should
Work as understanding, the present invention is not limited to above-mentioned specific embodiment.On the basis of disclosed embodiment, the technical field
Technical staff can the different technical characteristic of combination in any, so as to realize different technical schemes.
In addition to the technical characteristic described in description, the known technology of those skilled in the art is.
Claims (2)
1. a kind of method for educating big data model construction, it is characterised in that including following sections:Behavior record model
Build;Educational data standard directories model construction;The structure of self-defined educational data label;The operation machine of education big data model
System and method;Wherein,
Behavior record model construction, sets up with " subject and predicate, guest " as focal design element, based on time, place key condition
User behavior record cast, and user behavior storehouse is set up with this user behavior record cast, all of behavior of storage user
Journey;
Educational data standard directories model construction, according to education sector informationization characteristic, builds educational data standard directories, and sets
The model building method of fixed " one master and multiple slaves ", i.e., one master catalogue structural model, and with master catalogue as core, set multiple from mesh
Directory structures, master catalogue structural model are divided into three major types and are not divided, respectively:Standard code class, educational management class, education money
Source class;
The structure of self-defined educational data label, the structure of educational data standard directories model are to need constantly improve and upgrading
, the construction method of " definition/use/analysis/accumulation " is utilized, i.e.,:
Definition:Customized label content is created by main body is participated in,
Use:Other participate in main body and participate in using customized label,
Analysis:According to analysis method of colony's utilization rate more than 50%, label record is carried out into accumulation mark,
Accumulation:Identification (RFID) tag timing is collected into educational data standard directories structure, educational data standard directories are improved;
The operating mechanism and method of education big data model:Set up the system operation with educational data standard directories as core tie
Mechanism, realizes that educational data standard directories are corresponding with the matching of all kinds of educational applications, function, service and data, according to participation master
The tracking control of full process principle of recording of body and method, record and are formed participation main body class, action process class, the education of service result class
Large data sets.
2. a kind of method for educating big data model construction according to claim 1, it is characterised in that the standard
Code word includes:GB, terrestrial reference, rower and self-defined standard;Educational management class is divided according to educational stage, educational object;Religion
Educate resources-type according to term, field, version, teaching material, chapters and sections, knowledge point division;According to the model building method of " one master and multiple slaves ",
The definition of " from catalogue " structural model is carried out with above-mentioned three major types master catalogue structural model.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611021419.0A CN106530161A (en) | 2016-11-21 | 2016-11-21 | Method for building education big data model |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611021419.0A CN106530161A (en) | 2016-11-21 | 2016-11-21 | Method for building education big data model |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106530161A true CN106530161A (en) | 2017-03-22 |
Family
ID=58352959
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611021419.0A Pending CN106530161A (en) | 2016-11-21 | 2016-11-21 | Method for building education big data model |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106530161A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107807959A (en) * | 2017-10-09 | 2018-03-16 | 华南师范大学 | A kind of educational data description and open implementation method |
CN108319733A (en) * | 2018-03-29 | 2018-07-24 | 华中师范大学 | A kind of education big data analysis method and system based on map |
-
2016
- 2016-11-21 CN CN201611021419.0A patent/CN106530161A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107807959A (en) * | 2017-10-09 | 2018-03-16 | 华南师范大学 | A kind of educational data description and open implementation method |
CN108319733A (en) * | 2018-03-29 | 2018-07-24 | 华中师范大学 | A kind of education big data analysis method and system based on map |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Rehman et al. | An integrated modeling approach for forecasting long-term energy demand in Pakistan | |
Muljani et al. | Developing competitiveness in industrial revolution 4.0 | |
CN104679517B (en) | A kind of computer aided training system based on IETM | |
Towill | Industrial engineering the Toyota production system | |
Marinina et al. | Circular economy models in industry: Developing a conceptual framework | |
Zhao et al. | Industrial policy and innovation capability of strategic emerging industries: empirical evidence from Chinese new energy vehicle industry | |
Sun et al. | CO2 emission calculation method during construction process for developing BIM-based performance evaluation system | |
CN103699441A (en) | MapReduce report task execution method based on task granularity | |
CN106530161A (en) | Method for building education big data model | |
Gauffin et al. | The global societal steel scrap reserves and amounts of losses | |
Zhao et al. | Does China’s low-carbon pilot policy promote foreign direct investment? An empirical study based on city-level panel data of China | |
Weng et al. | Study on the influencing factors and acting path of the sustainable development of rural tourism based on EEam-ISM model | |
Kramarz et al. | Stakeholders of the Multimodal Freight Transport Ecosystem in Polish–Czech–Slovak Cross-Border Area | |
Li et al. | Modeling the driving factors of the value added in the Chinese sports industry: a ridge regression | |
Hou et al. | Optimization of truck–loader matching based on a simulation method for underground mines | |
Hussain et al. | Minimizing cost overrun in rail projects through 5D-BIM: A systematic literature review | |
Chen et al. | Multistage and dynamic layout optimization for electric vehicle charging stations based on the behavior analysis of travelers | |
How et al. | Forging the Future: Strategic Approaches to Quantum AI Integration for Industry Transformation | |
Radhakrishnan et al. | Scoping for the operation of agile urban adaptation for secondary cities of the global south: Possibilities in Pune, India | |
Sapuan et al. | Elevation of waqf industry for social wellbeing in malaysia: issues and challenges | |
GB2534448A (en) | Managing customs information | |
Lee et al. | Why localization is necessary as a business strategy in emerging markets: The case comparison of Hyundai and Volkswagen | |
CN102750822B (en) | Intelligent traffic service processing system and service processing method | |
Bátiz-Lazo et al. | Engineering Change: The Appropriation of Computer Technology at Grupo ICA in Mexico (1965—1971) | |
Hurst et al. | Recession and the Politics of Class and Production in China |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170322 |