CN108960617A - A kind of education auxiliary system based on big data - Google Patents
A kind of education auxiliary system based on big data Download PDFInfo
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- CN108960617A CN108960617A CN201810700953.7A CN201810700953A CN108960617A CN 108960617 A CN108960617 A CN 108960617A CN 201810700953 A CN201810700953 A CN 201810700953A CN 108960617 A CN108960617 A CN 108960617A
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- 238000004458 analytical method Methods 0.000 claims abstract description 40
- 238000007405 data analysis Methods 0.000 claims abstract description 22
- 230000003321 amplification Effects 0.000 claims description 13
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 6
- 230000002787 reinforcement Effects 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 230000002045 lasting effect Effects 0.000 description 4
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Abstract
The education auxiliary system based on big data that the invention discloses a kind of, including achievement obtain module, data analysis module, weak tendency project analysis module, data statistics module, controller, database, memory and data display module；The present invention obtains the achievement that module obtains student in real time by achievement at work, achievement is transferred to data analysis module and weak tendency project analysis module later, it can will be less than the subject information under default achievement by data analysis module and be transferred to weak tendency project analysis module, the module of weak tendency project analysis at this time can obtain the paper that module gets corresponding accounts from achievement automatically, and paper is carried out to analyze and determine the weak tendency aspect for obtaining corresponding accounts in real time, later controller will be transferred in terms of weak tendency, later data display module will be transferred in terms of weak tendency, the knowledge point for understanding oneself disadvantaged party face in time convenient for student enhances.
Description
Technical field
The invention belongs to auxiliary system fields, are related to big data technology, specifically a kind of education auxiliary based on big data
System.
Background technique
Education, the purposeful planned organized mental development to educatee of educator carries out enlightening cultivation by education, with existing
Some experiences, knowledge are weighed in people, explain that various phenomenons, problem or behavior with growing ability experience are with people at all for it
A kind of relative maturity or the thinking of rationality treated to recognize, allow things to be able to close to its most fundamental presence, people wherein, slowly
It is slow that a kind of things is touched by sense organ to the state of Cognition Understanding, and form self anticipating for a kind of comparatively perfect or rationality
Know thinking；
Big data refers to the data that can not be captured, managed and be handled with conventional software tool within certain time
Set is magnanimity, the Gao Zeng for needing new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
Long rate and diversified information assets.And present education lacks a kind of auxiliary system, and student is enabled to recognize oneself in time
Weak tendency project；The configuration of the present invention is simple is easy to practical.
Summary of the invention
The education auxiliary system based on big data that the purpose of the present invention is to provide a kind of.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of education auxiliary system based on big data, including achievement obtain module, data analysis module, weak tendency project point
Analyse module, data statistics module, controller, database, memory and data display module；
Wherein, the achievement obtains module and is used to obtain the learning information of student Ge Ke learning test volume automatically and will learn
Information is transferred to data analysis module, and the data analysis module is for analyzing learning information in real time and being lower than score
Preset value section purpose subject information is transferred to weak tendency project analysis module, and the weak tendency subject analysis module is divided for receiving data
The subject information of module transfer is analysed, the weak tendency subject analysis module is used to obtain module from achievement automatically according to subject information and obtain
Take the learning information of subject information corresponding accounts；
The weak tendency subject analysis module analyzes learning information and obtains the weakness of student for combined data library
Knowledge point, the weak tendency project analysis module are used to weak knowledge point being transferred to controller；The database is learned for storing
Sheng Ge section learning test rolls up corresponding exercise knowledge point；The weak tendency subject analysis module is analyzed and obtains the weak knowledge of student
Point process is as follows:
Step 1: the project that loses scores of learning information is automatically analyzed using weak tendency subject analysis module；
Step 2: weak tendency subject analysis module is compared with database for the project that will lose scores and gets the project of losing scores
Corresponding weakness knowledge point；
Step 3: weak knowledge point is returned into weak tendency project analysis module；
The controller is used to for being transferred to weak tendency knowledge point data display module, and the data display module is for real-time
Show the weak tendency knowledge point of student；The controller is also used to for weak tendency knowledge point to be transferred to memory, and the memory is used for
Real-time storage is carried out to weak tendency knowledge point.
Further, the data statistics module is also used to obtain learning information, the number from data analysis module automatically
Module is also used to the corresponding lasting performance information of each section of programming count each time according to statistics, and automatic arranging goes out to learn amplification letter
Breath, the study amplification information are the lasting achievement table of student, and the data statistics module is transferred to amplification information is learnt
Study amplification information is transferred to data display module and is shown by controller, the controller；The controller increases study
Width information is transferred to memory and is stored.
Further, the data statistics module is also used to obtain subject information, the number from data analysis module automatically
Module is also used to when the frequency of occurrence repeatedly of subject information is more than preset value to controller transmission subject information and pre- according to statistics
Alert information；The controller can be by warning information and section when receiving the warning information and subject information of data statistics module transmission
Mesh information is transferred to data display module, and the data display module is in the subject information and early warning letter for receiving controller transmission
" continuing reinforcement+subject information " can be shown when breath automatically.
Beneficial effects of the present invention: the present invention obtains the achievement that module obtains student in real time by achievement at work, it
Achievement is transferred to data analysis module and weak tendency project analysis module afterwards, can will be less than being preset to by data analysis module
Subject information under achievement is transferred to weak tendency project analysis module, and the module of weak tendency project analysis at this time can obtain module from achievement automatically
The paper of corresponding accounts is got, and paper is carried out to analyze and determine the weak tendency aspect for obtaining corresponding accounts in real time, it later will be weak
It is transferred to controller in terms of gesture, data display module will be transferred in terms of weak tendency later, understand oneself weak tendency in time convenient for student
The knowledge point of aspect is enhanced；The configuration of the present invention is simple, and it is easy to practical.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of education auxiliary system based on big data, including achievement obtain module, data analysis module,
Weak tendency project analysis module, data statistics module, controller, database, memory and data display module；
Wherein, the achievement obtains module and is used to obtain the learning information of student Ge Ke learning test volume automatically and will learn
Information is transferred to data analysis module, and the data analysis module is for analyzing learning information in real time and being lower than score
Preset value section purpose subject information is transferred to weak tendency project analysis module, and the weak tendency subject analysis module is divided for receiving data
The subject information of module transfer is analysed, the weak tendency subject analysis module is used to obtain module from achievement automatically according to subject information and obtain
Take the learning information of subject information corresponding accounts；
The weak tendency subject analysis module analyzes learning information and obtains the weakness of student for combined data library
Knowledge point, the weak tendency project analysis module are used to weak knowledge point being transferred to controller；The database is learned for storing
Sheng Ge section learning test rolls up corresponding exercise knowledge point；The weak tendency subject analysis module is analyzed and obtains the weak knowledge of student
Point process is as follows:
Step 1: the project that loses scores of learning information is automatically analyzed using weak tendency subject analysis module；
Step 2: weak tendency subject analysis module is compared with database for the project that will lose scores and gets the project of losing scores
Corresponding weakness knowledge point；
Step 3: weak knowledge point is returned into weak tendency project analysis module；
The controller is used to for being transferred to weak tendency knowledge point data display module, and the data display module is for real-time
Show the weak tendency knowledge point of student；The controller is also used to for weak tendency knowledge point to be transferred to memory, and the memory is used for
Real-time storage is carried out to weak tendency knowledge point.
Further, the data statistics module is also used to obtain learning information, the number from data analysis module automatically
Module is also used to the corresponding lasting performance information of each section of programming count each time according to statistics, and automatic arranging goes out to learn amplification letter
Breath, the study amplification information are the lasting achievement table of student, and the data statistics module is transferred to amplification information is learnt
Study amplification information is transferred to data display module and is shown by controller, the controller；The controller increases study
Width information is transferred to memory and is stored.
Further, the data statistics module is also used to obtain subject information, the number from data analysis module automatically
Module is also used to when the frequency of occurrence repeatedly of subject information is more than preset value to controller transmission subject information and pre- according to statistics
Alert information；The controller can be by warning information and section when receiving the warning information and subject information of data statistics module transmission
Mesh information is transferred to data display module, and the data display module is in the subject information and early warning letter for receiving controller transmission
" continuing reinforcement+subject information " can be shown when breath automatically.
A kind of education auxiliary system based on big data, at work by achievement obtain module obtain in real time student at
Achievement is transferred to data analysis module and weak tendency project analysis module later, can be will be less than by data analysis module by achievement
Subject information under default achievement is transferred to weak tendency project analysis module, and the module of weak tendency project analysis at this time can be obtained from achievement automatically
Modulus block gets the paper of corresponding accounts, and carries out analyzing and determining the weak tendency aspect for obtaining corresponding accounts in real time to paper, it
It will be transferred to controller in terms of weak tendency afterwards, data display module will be transferred in terms of weak tendency later, be known from time convenient for student
Knowledge point in terms of own weak tendency is enhanced；The configuration of the present invention is simple, and it is easy to practical.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (3)
1. a kind of education auxiliary system based on big data, which is characterized in that including achievement obtain module, data analysis module,
Weak tendency project analysis module, data statistics module, controller, database, memory and data display module；
Wherein, the achievement obtains module for obtaining the learning information of student Ge Ke learning test volume automatically and by learning information
It is transferred to data analysis module, the data analysis module for analyzing learning information and by score lower than default in real time
Value section purpose subject information is transferred to weak tendency project analysis module, and the weak tendency subject analysis module analyzes mould for receiving data
The subject information of block transmission, the weak tendency subject analysis module are used to obtain module acquisition section from achievement automatically according to subject information
The learning information of mesh information corresponding accounts；
The weak tendency subject analysis module analyzes learning information and obtains the weak knowledge of student for combined data library
Point, the weak tendency project analysis module are used to weak knowledge point being transferred to controller；The database is each for storing student
Section's learning test rolls up corresponding exercise knowledge point；The weak tendency subject analysis module is analyzed and obtains the weak knowledge point mistake of student
Journey is as follows:
Step 1: the project that loses scores of learning information is automatically analyzed using weak tendency subject analysis module；
Step 2: weak tendency subject analysis module is compared for the project that will lose scores with database and to get the project of losing scores corresponding
Weak knowledge point；
Step 3: weak knowledge point is returned into weak tendency project analysis module；
The controller is used to for being transferred to weak tendency knowledge point data display module, and the data display module is used for real-time exhibition
The weak tendency knowledge point of student；The controller is also used to for being transferred to weak tendency knowledge point memory, and the memory is used for weak
Gesture knowledge point carries out real-time storage.
2. a kind of education auxiliary system based on big data according to claim 1, which is characterized in that the data statistics
Module is also used to obtain learning information from data analysis module automatically, and the data statistics module is also used to programming count each time
Each section it is corresponding continue performance information, and automatic arranging goes out to learn amplification information, and the study amplification information is that student holding
Continuous achievement table, the data statistics module will learn amplification information and be transferred to controller, and the controller will learn amplification letter
Breath is transferred to data display module and is shown；Study amplification information is transferred to memory and stored by the controller.
3. a kind of education auxiliary system based on big data according to claim 1, which is characterized in that the data statistics
Module is also used to obtain subject information from data analysis module automatically, and the data statistics module is also used in the anti-of subject information
Subject information and warning information are transmitted to controller when multiple frequency of occurrence is more than preset value；The controller receives data statistics
Warning information and subject information can be transferred to data display module, the number when warning information and subject information of module transfer
It can be shown automatically according to display module when receiving the subject information and warning information of controller transmission and " continue reinforcement+subject letter
Breath ".
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| CN201810700953.7A CN108960617A (en) | 2018-06-29 | 2018-06-29 | A kind of education auxiliary system based on big data |
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| CN201810700953.7A CN108960617A (en) | 2018-06-29 | 2018-06-29 | A kind of education auxiliary system based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109523839A (en) * | 2018-12-12 | 2019-03-26 | 安徽讯呼信息科技有限公司 | A kind of system of robotic programming |
| CN110428681A (en) * | 2019-08-02 | 2019-11-08 | 运城学院 | A kind of distance assisted instruction system and method based on big data |
| CN111081104A (en) * | 2019-05-27 | 2020-04-28 | 广东小天才科技有限公司 | Dictation content selection method based on classroom performance and learning equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477755A (en) * | 2009-01-06 | 2009-07-08 | 陈诗周 | Error problem database system for student |
| CN104299061A (en) * | 2013-07-20 | 2015-01-21 | 郑州学生宝电子科技有限公司 | Student achievement management system based on data analysis |
| CN104299473A (en) * | 2013-07-20 | 2015-01-21 | 郑州学生宝电子科技有限公司 | Teaching and student learning error question knowledge base |
| CN105139313A (en) * | 2015-08-20 | 2015-12-09 | 南京势行软件开发有限公司 | Students' performance data analysis system and analysis method for the students' performance data analysis system |
| CN105512214A (en) * | 2015-11-28 | 2016-04-20 | 华中师范大学 | Knowledge database, construction method and learning situation diagnosis system |
| CN107680431A (en) * | 2017-11-22 | 2018-02-09 | 史俊逸 | A kind of assistant teaching method and assisted teaching system based on multi-dimensional data analysis |
-
2018
- 2018-06-29 CN CN201810700953.7A patent/CN108960617A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477755A (en) * | 2009-01-06 | 2009-07-08 | 陈诗周 | Error problem database system for student |
| CN104299061A (en) * | 2013-07-20 | 2015-01-21 | 郑州学生宝电子科技有限公司 | Student achievement management system based on data analysis |
| CN104299473A (en) * | 2013-07-20 | 2015-01-21 | 郑州学生宝电子科技有限公司 | Teaching and student learning error question knowledge base |
| CN105139313A (en) * | 2015-08-20 | 2015-12-09 | 南京势行软件开发有限公司 | Students' performance data analysis system and analysis method for the students' performance data analysis system |
| CN105512214A (en) * | 2015-11-28 | 2016-04-20 | 华中师范大学 | Knowledge database, construction method and learning situation diagnosis system |
| CN107680431A (en) * | 2017-11-22 | 2018-02-09 | 史俊逸 | A kind of assistant teaching method and assisted teaching system based on multi-dimensional data analysis |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109523839A (en) * | 2018-12-12 | 2019-03-26 | 安徽讯呼信息科技有限公司 | A kind of system of robotic programming |
| CN111081104A (en) * | 2019-05-27 | 2020-04-28 | 广东小天才科技有限公司 | Dictation content selection method based on classroom performance and learning equipment |
| CN111081104B (en) * | 2019-05-27 | 2021-12-21 | 广东小天才科技有限公司 | Dictation content selection method based on classroom performance and learning equipment |
| CN110428681A (en) * | 2019-08-02 | 2019-11-08 | 运城学院 | A kind of distance assisted instruction system and method based on big data |
| CN110428681B (en) * | 2019-08-02 | 2021-12-07 | 运城学院 | Remote auxiliary teaching system and method based on big data |
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Application publication date: 20181207 |