CN109165877A - A kind of method and system promoting network scoring speed - Google Patents
A kind of method and system promoting network scoring speed Download PDFInfo
- Publication number
- CN109165877A CN109165877A CN201811184027.5A CN201811184027A CN109165877A CN 109165877 A CN109165877 A CN 109165877A CN 201811184027 A CN201811184027 A CN 201811184027A CN 109165877 A CN109165877 A CN 109165877A
- Authority
- CN
- China
- Prior art keywords
- examination papers
- over examination
- going over
- going
- papers
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000001737 promoting effect Effects 0.000 title claims abstract description 34
- 230000006399 behavior Effects 0.000 claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 35
- 238000004458 analytical method Methods 0.000 claims abstract description 32
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 28
- 238000010801 machine learning Methods 0.000 claims abstract description 24
- 238000005516 engineering process Methods 0.000 claims description 14
- 230000003542 behavioural effect Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 4
- 230000006870 function Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 238000013473 artificial intelligence Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000007547 defect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 230000009897 systematic effect Effects 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Technology (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses a kind of method and system for promoting network scoring speed, the described method includes: establishing status monitoring model of going over examination papers using machine learning, it obtains in real time and go over examination papers state and the velocity information of going over examination papers of the person that judges currently not go over examination papers, gos over examination papers state and velocity information of going over examination papers is input to the status monitoring model of going over examination papers for described;Go over examination papers state and the velocity information of going over examination papers of input are analyzed, go over examination papers standard degree algorithm and the behavior database of the person that currently do not goed over examination papers;Streaming computing analysis is carried out to standard degree algorithm and the behavior database of going over examination papers, is obtained and the quality information of going over examination papers for the person that judges currently not go over examination papers;When the quality information of going over examination papers is lower than preset quality information, control the speed of going over examination papers of the current person of going over examination papers, and the part that will be less than preset quality information is stored in queue of going over examination papers, to be goed over examination papers again, reduce the workload and the time it takes of going over examination papers that repetition is goed over examination papers, to improve the efficiency and accuracy of network scoring.
Description
Technical field
The invention belongs to computer data processing technology field more particularly to it is a kind of promoted network scoring speed method and
System.
Background technique
With the arrival of computer age, in order to improve the efficiency goed over examination papers, network scoring using more and more extensive.With
In the commonly used of major industry, network scoring has also been put on national each middle and primary schools for artificial intelligence and machine learning techniques
Education interconnection networking and the intelligentized schedule of educational administration.There are some network scoring technologies and product on the market at present, mainly
Papery paper is scanned into picture using scanner, then carries out cutting figure according to preset wire frame mark, the figure that will finally cut
Piece is put on computer, carries out network grading by different section's purpose teachers.
Most of network scoring is all that each teacher checks a topic group at present, since teacher reads duplicate for a long time
It is easy to produce feeling of fatigue in volume task, will lead to the misjudgment phenomenon generation to some answers, this has resulted in going over examination papers result not
It is fair and injustice.Simple solution is by the way of repeating to read and make comments, finally to make even respectively, but the method exists
Inefficiency expends the defect of more time and higher cost.Teacher is also unwilling to spend excessive time progress duplicate simultaneously
It gos over examination papers work, this is also a problem on network scoring product at present.
Summary of the invention
In view of this, the embodiment of the present invention is designed to provide a kind of method and system for promoting network scoring speed,
Be intended to track the behavior for the person of going over examination papers and state by artificial intelligence and machine learning techniques, reduce repeat go over examination papers work and
It gos over examination papers the time, to promote the efficiency and accuracy of network scoring.
The technical solution adopted by the invention is as follows:
In a first aspect, a kind of method for promoting network scoring speed provided in an embodiment of the present invention, is applied to promote network
The system for speed of going over examination papers, the system for promoting network scoring speed include terminal of going over examination papers, the promotion network scoring speed
Method includes:
The terminal of going over examination papers establishes status monitoring model of going over examination papers using machine learning, obtains in real time and judges the person that currently do not go over examination papers
Go over examination papers and state and go over examination papers velocity information, go over examination papers state and velocity information of going over examination papers is input to the status monitoring mould of going over examination papers for described
Type;
Go over examination papers state and the velocity information of going over examination papers of input are analyzed according to the status monitoring model of going over examination papers, worked as
Before the person of going over examination papers go over examination papers standard degree algorithm and behavior database;
To go over examination papers standard degree algorithm and the behavior database progress streaming computing analysis, obtains and judge the person that currently do not go over examination papers
Quality information of going over examination papers;
When the quality information of going over examination papers is lower than preset quality information, the speed of going over examination papers of the current person of going over examination papers is controlled, and will be low
It is stored in queue of going over examination papers in the part of preset quality information, to be goed over examination papers again.
It is further, described to be established before the step of going over examination papers status monitoring model using machine learning, which comprises
Within a preset period of time, the behavioural information of going over examination papers that the current person of going over examination papers persistently is obtained using machine learning, is worked as with judgement
Before going over examination papers for the person of going over examination papers state and go over examination papers velocity information, wherein the behavioural information of going over examination papers includes that mouse residence time, mouse are sliding
It the content crossed and gos over examination papers interval time.
Further, the step of streaming computing analysis is carried out to go over examination papers standard degree algorithm and behavior database tool
Body includes:
Using Spark and Storm technology to go over examination papers standard degree algorithm and the behavior database progress streaming computing analysis.
Further, the system for promoting network scoring speed further includes the management with the terminal communication connection of going over examination papers
Terminal, the method for promoting network scoring speed further include:
Go over examination papers state and the quality information of going over examination papers of the person of going over examination papers are simultaneously sent to the management eventually by the terminal of going over examination papers
End;
When operation irregularity is goed over examination papers in manager's discovery of going over examination papers, the manager that gos over examination papers is by the management terminal to institute
It states terminal of going over examination papers and sends intervention instruction, intervened with the work of going over examination papers to the person of going over examination papers.
Second aspect, a kind of system promoting network scoring speed provided in an embodiment of the present invention, including terminal of going over examination papers, institute
Stating terminal of going over examination papers includes:
Module is established, for establishing status monitoring model of going over examination papers using machine learning;
Judgment module, go over examination papers state and velocity information of going over examination papers for the person that obtains and judge currently not go over examination papers in real time;
Input module, for state and the velocity information of going over examination papers of going over examination papers to be input to the status monitoring model of going over examination papers;
Analysis module, for go over examination papers according to status monitoring model to input go over examination papers state and go over examination papers velocity information into
Row analysis, go over examination papers standard degree algorithm and the behavior database of the person that currently do not goed over examination papers;
The analysis module is also used to go over examination papers standard degree algorithm and the behavior database progress streaming computing analysis,
It obtains and the quality information of going over examination papers for the person that judges currently not go over examination papers;
Control module, for controlling readding for the current person of going over examination papers when the quality information of going over examination papers is lower than preset quality information
Speed is rolled up, and the part that will be less than preset quality information is stored in queue of going over examination papers, to be goed over examination papers again.
Further, the terminal of going over examination papers further include:
Module is obtained, within a preset period of time, persistently obtaining the behavior of going over examination papers of the current person of going over examination papers using machine learning
Information, to judge go over examination papers state and the velocity information of going over examination papers of the current person of going over examination papers, wherein the behavioural information of going over examination papers includes that mouse stops
Stay the time, mouse-over content and go over examination papers interval time.
Further, the analysis module, specifically for being calculated using Spark and Storm technology the standard degree of going over examination papers
Method and behavior database carry out streaming computing analysis.
Further, the system for promoting network scoring speed further includes the management with the terminal communication connection of going over examination papers
Terminal, the management terminal further include:
Sending module, for go over examination papers state and the quality information of going over examination papers of the person of going over examination papers to be simultaneously sent to the management eventually
End;And it when operation irregularity is goed over examination papers in manager's discovery of going over examination papers, is sent by the management terminal to the terminal of going over examination papers
Intervention instruction is intervened with the work of going over examination papers to the person of going over examination papers.
In conclusion the present invention obtains in real time by establishing status monitoring model of going over examination papers using machine learning and judges to work as
Before going over examination papers for the person of going over examination papers state and go over examination papers velocity information, go over examination papers state and velocity information of going over examination papers is input to the shape of going over examination papers for described
State monitoring model is analyzed go over examination papers state and the velocity information of going over examination papers of input according to the status monitoring model of going over examination papers, is obtained
To go over examination papers standard degree algorithm and the behavior database of the person that currently do not go over examination papers, to go over examination papers standard degree algorithm and the behavior database progress
Streaming computing analysis, obtains and the quality information of going over examination papers for the person that judges currently not go over examination papers, when the quality information of going over examination papers is lower than default matter
The part deposit for when measuring information, controlling the speed of going over examination papers of the current person of going over examination papers, and will be less than preset quality information is goed over examination papers queue, with into
Row is goed over examination papers again, reduces workload and the time it takes of going over examination papers that repetition is goed over examination papers, to improve the efficiency of network scoring
And accuracy.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as
Restriction to range for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of systematic difference scene signal for promoting network scoring speed provided in an embodiment of the present invention
Figure.
Fig. 2 shows a kind of flow diagrams for the method for promoting network scoring speed provided in an embodiment of the present invention.
Fig. 3 shows the function of the terminal of going over examination papers in a kind of system for promoting network scoring speed provided in an embodiment of the present invention
It can module frame chart.
Fig. 4 shows the function of the management terminal in a kind of system for promoting network scoring speed provided in an embodiment of the present invention
It can module frame chart.
Main element symbol description:
Promote the system 10 of network scoring speed;Terminal of going over examination papers 100;Management terminal 200;Establish module 101;Judgment module
102;Input module 103;Analysis module 104;Control module 105;Obtain module 106;Sending module 201.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
Most of network scoring is all that each teacher checks a topic group at present, since teacher reads duplicate for a long time
It is easy to produce feeling of fatigue in volume task, will lead to the misjudgment phenomenon generation to some answers, this has resulted in going over examination papers result not
It is fair and injustice.Simple solution is by the way of repeating to read and make comments, finally to make even respectively, but the method exists
Inefficiency expends the defect of more time and higher cost.Teacher is also unwilling to spend excessive time progress duplicate simultaneously
It gos over examination papers work, this is also a problem on network scoring product at present.
In view of this, the embodiment of the present invention is designed to provide a kind of method and system for promoting network scoring speed,
Be intended to track the behavior for the person of going over examination papers and state by artificial intelligence and machine learning techniques, reduce repeat go over examination papers work and
It gos over examination papers the time, to promote the efficiency and accuracy of network scoring.
As shown in Figure 1, being a kind of application scenarios of system 10 for promoting network scoring speed provided in an embodiment of the present invention
Schematic diagram.Wherein, the system 10 for promoting network scoring speed may include go over examination papers terminal 100 and management terminal 200, described
Terminal of going over examination papers 100 and the management terminal 200 are communicatively coupled by network, to carry out data access or Signalling exchange etc..
Embodiment 1
As shown in Fig. 2, being a kind of flow diagram of method for promoting network scoring speed provided in an embodiment of the present invention.
Wherein, the method for promoting network scoring speed is applied in the system 10 for promoting network scoring speed.The promotion
The method of network scoring speed may comprise steps of:
Step S101: status monitoring model of going over examination papers is established using machine learning, obtains in real time and judges currently not going over examination papers person's
State and the velocity information of going over examination papers of going over examination papers is input to the status monitoring mould of going over examination papers by state of going over examination papers and velocity information of going over examination papers
Type.
In the present embodiment, the terminal 100 of going over examination papers establishes status monitoring model of going over examination papers first with machine learning, and in real time
Go over examination papers state and the velocity information of going over examination papers of the current person of going over examination papers are obtained, and state and the velocity information of going over examination papers of going over examination papers is sentenced
It is disconnected.Secondly, state and the velocity information of going over examination papers of going over examination papers also is input to the status monitoring mould of going over examination papers by the terminal 100 of going over examination papers
It is trained in type.
Further, in order to provide the reference standard of the go over examination papers state and velocity information of going over examination papers that judge the current person of going over examination papers,
It is described that machine learning is utilized to establish before the step of going over examination papers status monitoring model, it the described method comprises the following steps:
Within a preset period of time, the behavioural information of going over examination papers of the current person of going over examination papers persistently is obtained using machine learning.Optionally, institute
Stating preset time period is 5-10 minutes.The behavioural information of going over examination papers include the mouse residence time, mouse-over content and go over examination papers
Interval time.In the present embodiment, the status monitoring model of going over examination papers judges according to the behavioural information of going over examination papers of the current person of going over examination papers
Go over examination papers state and the velocity information of going over examination papers of the current person of going over examination papers.
Step S102: go over examination papers state and the velocity information of going over examination papers of input are divided according to the status monitoring model of going over examination papers
Analysis, go over examination papers standard degree algorithm and the behavior database of the person that currently do not goed over examination papers.
Wherein, the terminal 100 of going over examination papers state and gos over examination papers to going over examination papers for input using the status monitoring model of going over examination papers of foundation
Velocity information is analyzed, and is not currently goed over examination papers go over examination papers standard degree algorithm and the behavior database of person using machine learning.
Step S103: it to go over examination papers standard degree algorithm and the behavior database progress streaming computing analysis, obtains and judges
The quality information of going over examination papers of the current person of going over examination papers.
Specifically, the terminal 100 of going over examination papers is using Spark and Storm technology to go over examination papers standard degree algorithm and the behavior
Database carries out streaming computing analysis.Wherein, Spark technology is the meter for the Universal-purpose quick for aiming at large-scale data processing and designing
Calculate engine.Spark is the class that UC Berkeley AMP lab (laboratory AMP of University of California Berkeley) is increased income
The universal parallel frame of Hadoop MapReduce.Storm technology is a real time computation system distributed, highly fault tolerant.
Storm is designed for handling mass data in fault-tolerant and horizontal expandable method.It is a flow data frame, has highest
Uptake ratio.
Step S104: when the quality information of going over examination papers is lower than preset quality information, the speed of going over examination papers of the current person of going over examination papers is controlled
Degree, and the part that will be less than preset quality information is stored in queue of going over examination papers, to be goed over examination papers again.
Wherein, the terminal 100 of going over examination papers is obtained using status monitoring model of going over examination papers according to the process of going over examination papers for the person that currently do not go over examination papers
The preset quality information.Standard degree algorithm is goed over examination papers and behavior database is not currently goed over examination papers the quality letter of going over examination papers of person according to described
Breath.And by the person that currently do not go over examination papers go over examination papers quality information and preset quality information is compared, when the quality information of going over examination papers is lower than
When preset quality information, the terminal 100 of going over examination papers controls the speed of going over examination papers of the current person of going over examination papers.And it will be less than the preset quality
The part of information is stored in queue of going over examination papers, to be goed over examination papers again.It is understood that using artificial intelligence and machine in the present embodiment
Device learning art tracks the behavior for the person of going over examination papers and state, is only goed over examination papers again to low-quality part of going over examination papers, and reduces
Repetition, which is goed over examination papers, work and gos over examination papers the time, to promote the efficiency and accuracy of network scoring.
In addition, the method for promoting network scoring speed is further comprising the steps of:
Go over examination papers state and the quality information of going over examination papers of the person of going over examination papers are simultaneously sent to the management by the terminal 100 of going over examination papers
Terminal 200.And
When operation irregularity is goed over examination papers in manager's discovery of going over examination papers, the manager that gos over examination papers passes through the management terminal 200
Intervention instruction is sent to the terminal 100 of going over examination papers, is intervened with the work of going over examination papers to the person of going over examination papers.
When implementation, the management terminal 200 shows the information of going over examination papers of the person of going over examination papers received on monitor screen, in order to
The manager that gos over examination papers observation.When operation irregularity is goed over examination papers in manager's discovery of going over examination papers, the manager that gos over examination papers passes through the management
Terminal 200 sends intervention instruction to the terminal 100 of going over examination papers, and is intervened with the work of going over examination papers to the person of going over examination papers.So may be used
To carry out artificial urgent intervention for special circumstances, the efficiency and accuracy goed over examination papers are further increased.
Embodiment 2
As shown in figure 3, being going over examination papers end in a kind of system 10 for promoting network scoring speed provided in an embodiment of the present invention
The functional block diagram at end 100.Wherein, the terminal 100 of going over examination papers may include establishing module 101, judgment module 102, input
Module 103, analysis module 104, control module 105 and acquisition module 106.Above functions module will be retouched in detail below
It states.
It is described to establish module 101, for establishing status monitoring model of going over examination papers using machine learning.
The judgment module 102, go over examination papers state and velocity information of going over examination papers for the person that obtains and judge currently not go over examination papers in real time.
The input module 103, for go over examination papers state and the velocity information of going over examination papers to be input to the state prison of going over examination papers
Survey model.
Preferably, state and the velocity information of going over examination papers of going over examination papers also is input to the shape of going over examination papers by the input module 103
It is trained in state monitoring model.
In the present embodiment, it is described establish module 101 run before, the acquisitions module 106, be used in preset time period
It is interior, the behavioural information of going over examination papers of the current person of going over examination papers persistently is obtained using machine learning, with judge the current person of going over examination papers go over examination papers state and
It gos over examination papers velocity information.Optionally, the preset time period is 5-10 minutes.When the behavioural information of going over examination papers includes that mouse stops
Between, the content of mouse-over and go over examination papers interval time.
The analysis module 104, go over examination papers state and speed of going over examination papers for going over examination papers status monitoring model according to input
Degree information is analyzed, go over examination papers standard degree algorithm and the behavior database of the person that currently do not goed over examination papers.
The analysis module 104 is also used to standard degree algorithm and the behavior database progress streaming computing point of going over examination papers
Analysis, obtains and the quality information of going over examination papers for the person that judges currently not go over examination papers.
Specifically, the analysis module 104, specifically for being calculated using Spark and Storm technology the standard degree of going over examination papers
Method and behavior database carry out streaming computing analysis.Wherein, the terminal 100 of going over examination papers is using Spark and Storm technology to described
Standard degree of going over examination papers algorithm and behavior database carry out streaming computing analysis.Wherein, Spark technology is to aim at large-scale data processing
And the computing engines of the Universal-purpose quick designed.Spark is the UC Berkeley AMP lab (AMP of University of California Berkeley
Laboratory) the universal parallel frame of class Hadoop MapReduce increased income.Storm technology is a distributed, Gao Rong
Wrong real time computation system.Storm is designed for handling mass data in fault-tolerant and horizontal expandable method.It is a stream
Data framework has highest uptake ratio.
The control module 105, for when the quality information of going over examination papers is lower than preset quality information, control currently to be goed over examination papers
The speed of going over examination papers of person, and the part that will be less than preset quality information is stored in queue of going over examination papers, to be goed over examination papers again.
In the present embodiment, the default matter is obtained according to the process of going over examination papers for the person that currently do not go over examination papers using status monitoring model is goed over examination papers
Measure information.Standard degree algorithm is goed over examination papers and behavior database is not currently goed over examination papers the quality information of going over examination papers of person according to described.And it will work as
Before the person of going over examination papers go over examination papers quality information and preset quality information is compared, when the quality information of going over examination papers is believed lower than preset quality
When breath, the control module 105 controls the speed of going over examination papers of the current person of going over examination papers.And it will be less than the part of the preset quality information
It is stored in queue of going over examination papers, to be goed over examination papers again.It is understood that using artificial intelligence and machine learning techniques in the present embodiment
The behavior and state of the person of going over examination papers are tracked, only goed over examination papers again to low-quality part of going over examination papers, reduces and repeats work of going over examination papers
Make and go over examination papers the time, to promote the efficiency and accuracy of network scoring.
As shown in figure 4, being the management end in a kind of system 10 for promoting network scoring speed provided in an embodiment of the present invention
The functional block diagram at end 200.Wherein, the management terminal 200 may include sending module 201.
The sending module 201, for go over examination papers state and the quality information of going over examination papers of the person of going over examination papers to be simultaneously sent to institute
State management terminal 200;And when operation irregularity is goed over examination papers in manager's discovery of going over examination papers, by the management terminal 200 to institute
It states terminal 100 of going over examination papers and sends intervention instruction, intervened with the work of going over examination papers to the person of going over examination papers.
When implementation, the sending module 201 shows the information of going over examination papers of the person of going over examination papers received on monitor screen, in order to
The manager that gos over examination papers observation.When operation irregularity is goed over examination papers in manager's discovery of going over examination papers, the manager that gos over examination papers passes through the transmission
Module 201 sends intervention instruction to the terminal 100 of going over examination papers, and is intervened with the work of going over examination papers to the person of going over examination papers.So may be used
To carry out artificial urgent intervention for special circumstances, the efficiency and accuracy goed over examination papers are further increased.
In conclusion the present invention obtains in real time by establishing status monitoring model of going over examination papers using machine learning and judges to work as
Before going over examination papers for the person of going over examination papers state and go over examination papers velocity information, go over examination papers state and velocity information of going over examination papers is input to the shape of going over examination papers for described
State monitoring model is analyzed go over examination papers state and the velocity information of going over examination papers of input according to the status monitoring model of going over examination papers, is obtained
To go over examination papers standard degree algorithm and the behavior database of the person that currently do not go over examination papers, to go over examination papers standard degree algorithm and the behavior database progress
Streaming computing analysis, obtains and the quality information of going over examination papers for the person that judges currently not go over examination papers, when the quality information of going over examination papers is lower than default matter
The part deposit for when measuring information, controlling the speed of going over examination papers of the current person of going over examination papers, and will be less than preset quality information is goed over examination papers queue, with into
Row is goed over examination papers again, reduces workload and the time it takes of going over examination papers that repetition is goed over examination papers, to improve the efficiency of network scoring
And accuracy.
In embodiment provided herein, it should be understood that disclosed device and method, it can also be by other
Mode realize.The apparatus embodiments described above are merely exemplary, for example, the flow chart and block diagram in attached drawing are shown
Device, the architectural framework in the cards of method and computer program product, function of multiple embodiments according to the present invention
And operation.In this regard, each box in flowchart or block diagram can represent one of a module, section or code
Point, a part of the module, section or code includes one or more for implementing the specified logical function executable
Instruction.It should also be noted that function marked in the box can also be attached to be different from some implementations as replacement
The sequence marked in figure occurs.For example, two continuous boxes can actually be basically executed in parallel, they sometimes may be used
To execute in the opposite order, this depends on the function involved.It is also noted that each of block diagram and or flow chart
The combination of box in box and block diagram and or flow chart can be based on the defined function of execution or the dedicated of movement
The system of hardware is realized, or can be realized using a combination of dedicated hardware and computer instructions.In addition, each in the present invention
Each functional module in embodiment can integrate one independent part of formation together, is also possible to modules and individually deposits
An independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.It needs
Illustrate, herein, relational terms such as first and second and the like be used merely to by an entity or operation with
Another entity or operation distinguish, and without necessarily requiring or implying between these entities or operation, there are any this realities
The relationship or sequence on border.Moreover, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and explained.
Claims (8)
1. a kind of method for promoting network scoring speed, applied to the system for promoting network scoring speed, the promotion network is read
The system of volume speed includes going over examination papers terminal, which is characterized in that the method for promoting network scoring speed includes:
The terminal of going over examination papers is goed over examination papers status monitoring model using machine learning foundation, obtains in real time and the person that judges currently not go over examination papers reads
State and the velocity information of going over examination papers of going over examination papers is input to the status monitoring model of going over examination papers by volume state and velocity information of going over examination papers;
Go over examination papers state and the velocity information of going over examination papers of input are analyzed according to the status monitoring model of going over examination papers, currently read
Go over examination papers standard degree algorithm and the behavior database of volume person;
Streaming computing analysis is carried out to standard degree algorithm and the behavior database of going over examination papers, obtains and the person that judges currently not go over examination papers reads
Roll up quality information;
When the quality information of going over examination papers is lower than preset quality information, the speed of going over examination papers of the current person of going over examination papers is controlled, and will be less than pre-
The queue if the part deposit of quality information is goed over examination papers, to be goed over examination papers again.
2. the method according to claim 1 for promoting network scoring speed, which is characterized in that described to be built using machine learning
It is vertical go over examination papers status monitoring model the step of before, which comprises
Within a preset period of time, the behavioural information of going over examination papers that the current person of going over examination papers persistently is obtained using machine learning, is currently read with judgement
Go over examination papers state and the velocity information of going over examination papers of volume person, wherein the behavioural information of going over examination papers includes mouse residence time, mouse-over
It content and gos over examination papers interval time.
3. the method according to claim 1 for promoting network scoring speed, which is characterized in that described to the standard of going over examination papers
The step of degree algorithm and behavior database carry out streaming computing analysis specifically includes:
Using Spark and Storm technology to go over examination papers standard degree algorithm and the behavior database progress streaming computing analysis.
4. the method according to claim 1 for promoting network scoring speed, which is characterized in that the promotion network scoring speed
The system of degree further includes the management terminal with the terminal communication connection of going over examination papers, and the method for promoting network scoring speed is also wrapped
It includes:
Go over examination papers state and the quality information of going over examination papers of the person of going over examination papers are simultaneously sent to the management terminal by the terminal of going over examination papers;
When operation irregularity is goed over examination papers in manager's discovery of going over examination papers, the manager that gos over examination papers is read by the management terminal to described
End of volume (EOV) end sends intervention instruction, is intervened with the work of going over examination papers to the person of going over examination papers.
5. a kind of system for promoting network scoring speed, including terminal of going over examination papers, which is characterized in that the terminal of going over examination papers includes:
Module is established, for establishing status monitoring model of going over examination papers using machine learning;
Judgment module, go over examination papers state and velocity information of going over examination papers for the person that obtains and judge currently not go over examination papers in real time;
Input module, for state and the velocity information of going over examination papers of going over examination papers to be input to the status monitoring model of going over examination papers;
Analysis module divides go over examination papers state and the velocity information of going over examination papers of input for going over examination papers status monitoring model according to
Analysis, go over examination papers standard degree algorithm and the behavior database of the person that currently do not goed over examination papers;
The analysis module is also used to obtain go over examination papers standard degree algorithm and the behavior database progress streaming computing analysis
And judge the quality information of going over examination papers of the current person of going over examination papers;
Control module, for controlling the speed of going over examination papers of the current person of going over examination papers when the quality information of going over examination papers is lower than preset quality information
Degree, and the part that will be less than preset quality information is stored in queue of going over examination papers, to be goed over examination papers again.
6. the system according to claim 5 for promoting network scoring speed, which is characterized in that the terminal of going over examination papers also is wrapped
It includes:
Module is obtained, within a preset period of time, persistently obtaining the behavioural information of going over examination papers of the current person of going over examination papers using machine learning,
To judge go over examination papers state and the velocity information of going over examination papers of the current person of going over examination papers, wherein when the behavioural information of going over examination papers includes that mouse stops
Between, the content of mouse-over and go over examination papers interval time.
7. the system according to claim 6 for promoting network scoring speed, which is characterized in that
The analysis module, specifically for using Spark and Storm technology to standard degree algorithm and the behavior database of going over examination papers
Carry out streaming computing analysis.
8. the system according to claim 5 for promoting network scoring speed, which is characterized in that the promotion network scoring speed
The system of degree further includes the management terminal with the terminal communication connection of going over examination papers, the management terminal further include:
Sending module, for go over examination papers state and the quality information of going over examination papers of the person of going over examination papers to be simultaneously sent to the management terminal;
And it when operation irregularity is goed over examination papers in manager's discovery of going over examination papers, is sent and is intervened to the terminal of going over examination papers by the management terminal
Instruction, is intervened with the work of going over examination papers to the person of going over examination papers.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811184027.5A CN109165877B (en) | 2018-10-11 | 2018-10-11 | Method and system for improving network marking speed |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811184027.5A CN109165877B (en) | 2018-10-11 | 2018-10-11 | Method and system for improving network marking speed |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109165877A true CN109165877A (en) | 2019-01-08 |
CN109165877B CN109165877B (en) | 2021-08-03 |
Family
ID=64877902
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811184027.5A Active CN109165877B (en) | 2018-10-11 | 2018-10-11 | Method and system for improving network marking speed |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109165877B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116610774A (en) * | 2023-07-20 | 2023-08-18 | 河北鑫考科技股份有限公司 | High-efficiency intelligent online paper reading auxiliary method and system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101866390A (en) * | 2009-05-14 | 2010-10-20 | 深圳市海云天科技股份有限公司 | Method and device for monitoring examination paper marking systems in real time |
CN102411670A (en) * | 2011-08-04 | 2012-04-11 | 深圳市海云天教育测评有限公司 | Imaging method and system of detection indices of marking quality of markers |
CN104780217A (en) * | 2015-04-24 | 2015-07-15 | 福建师范大学 | Method, system and client terminal for detecting working efficiency of user |
US20170075982A1 (en) * | 2014-05-22 | 2017-03-16 | Huawei Technologies Co., Ltd. | User Behavior Recognition Method, User Equipment, and Behavior Recognition Server |
-
2018
- 2018-10-11 CN CN201811184027.5A patent/CN109165877B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101866390A (en) * | 2009-05-14 | 2010-10-20 | 深圳市海云天科技股份有限公司 | Method and device for monitoring examination paper marking systems in real time |
CN102411670A (en) * | 2011-08-04 | 2012-04-11 | 深圳市海云天教育测评有限公司 | Imaging method and system of detection indices of marking quality of markers |
US20170075982A1 (en) * | 2014-05-22 | 2017-03-16 | Huawei Technologies Co., Ltd. | User Behavior Recognition Method, User Equipment, and Behavior Recognition Server |
CN104780217A (en) * | 2015-04-24 | 2015-07-15 | 福建师范大学 | Method, system and client terminal for detecting working efficiency of user |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116610774A (en) * | 2023-07-20 | 2023-08-18 | 河北鑫考科技股份有限公司 | High-efficiency intelligent online paper reading auxiliary method and system |
CN116610774B (en) * | 2023-07-20 | 2023-09-26 | 河北鑫考科技股份有限公司 | High-efficiency intelligent online paper reading auxiliary method and system |
Also Published As
Publication number | Publication date |
---|---|
CN109165877B (en) | 2021-08-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110598770B (en) | Multi-space fusion learning environment construction method and device | |
Aviv et al. | Network analysis of knowledge construction in asynchronous learning networks | |
Cramton | Finding common ground in dispersed collaboration | |
Regona et al. | Artificial intelligent technologies for the construction industry: how are they perceived and utilized in Australia? | |
WO2016184192A1 (en) | Data processing method and device | |
CN105426908A (en) | Convolutional neural network based substation attribute classification method | |
Pozdniakova | Smart sustainable cities: the concept and approaches to measurement | |
Saqr et al. | Networks in education: A travelogue through five decades | |
Kent et al. | Networked learning analytics: A theoretically informed methodology for analytics of collaborative learning | |
CN110443730A (en) | Grinding based on SAAS learns service system and device | |
CN109165877A (en) | A kind of method and system promoting network scoring speed | |
Halbe | Participatory modelling in sustainability transitions research | |
Hernández Leo et al. | Towards integrated learning design with across-spaces learning analytics: a flipped classroom example | |
Eradze et al. | Interrelation between pedagogical design and learning interaction patterns in different virtual learning environments | |
Nagarathna et al. | An intelligent step to effective e-Governance in India through E-Learning via social networks | |
Hasanagas et al. | E-Learning & Environmental Policy: The case of a politico-administrative GIS | |
Pham et al. | Learning Analytics in a Teachers’ Social Network | |
Xu | Representing big data as networks: new methods and insights | |
Li et al. | [Retracted] Dynamic Analysis of Deep Integration of Artificial Intelligence Based on High‐Performance Computing for Ideological and Political Teaching Evaluation | |
Jankowski et al. | Automated social network analysis of online student collaboration activity | |
Liu | RETRACTED ARTICLE: Examining the Impact of Assistive Technology on the Talent Development Path in AI-Driven Vocational Education | |
Wei | Decreasing land use and increasing information infrastructure: Big data analytics driven integrated online learning framework in rural education | |
Neidhardt et al. | It Is Simple, It Is Complicated. | |
Doğan et al. | Process mining methodology for digital processes under smart campus concept | |
Titchiev | Collaborative learning modelled by High-Level Petri nets |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |