CN106651704A - Embedded learning situation analysis system - Google Patents
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- CN106651704A CN106651704A CN201611258226.7A CN201611258226A CN106651704A CN 106651704 A CN106651704 A CN 106651704A CN 201611258226 A CN201611258226 A CN 201611258226A CN 106651704 A CN106651704 A CN 106651704A
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- 230000000694 effects Effects 0.000 claims description 8
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- 238000005516 engineering process Methods 0.000 claims description 4
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- 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
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- G06Q50/20—Education
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
- G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/245—Aligning, centring, orientation detection or correction of the image by locating a pattern; Special marks for positioning
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Abstract
The invention relates to the technical filed of teaching auxiliary equipment, in particular to an embedded learning situation analysis system which can effectively reduce the repeating work of teachers, improve the work efficiency and improve the teaching results. The embedded learning situation analysis system is characterized by comprising a data buffer module, a total processing module, a display module, a internal bus, a analysis unit, a scanner interface module, a network communication module, an USB communication module and a data storage module; wherein the data buffer module, the total processing module, and the display module are respectively connected with the analysis unit through the internal bus; and the analysis unit comprises an exercise mark determination module, an examination paper header determination module, a score evaluation module, an error excerpt module and a score statistics module. Compared with the prior art, the embedded learning situation analysis system has the advantages of reasonable structure, fast processing speed and high work efficiency.
Description
Technical field:
The present invention relates to tutor auxiliary platform equipment technical field, specifically one kind can effectively mitigate teacher repeats labor
Embedded analysis of the students system that is dynamic, improving operating efficiency, lift the successes achieved in teaching.
Background technology:
Current marking system is generally carried out in the following way:Carried out certainly by graphical analysis after can scanning for answering card
It is dynamic to read and make comments;Image scanning mode is generally adopted for subjective item, is divided into a sheet by a sheet picture to send out each exercise question after the completion of scanning
Give teacher to be read and made comments.In this way several teachers can be concentrated while being read and made comments, there is provided efficiency of going over examination papers.
It is this to read and make comments mode there are the following problems:(1) teacher cannot be left on paper reads and makes comments vestige.Existing marking system is on paper
Each examination question is formed a sheet by a sheet picture by way of scanning segmentation and is sent to teacher, and teacher is direct on marking system after reading and making comments
Marking, this mode cannot be stayed on papery paper and read and make comments vestige, and where student does not know oneself mistake.Existing marking system
It is only limitted to large-scale examination to use, examines in week at ordinary times and the quiz such as monthly examination cannot be used.(2) function is concluded without mistake topic.For
Student answer mistake topic cannot automatic sorting statistics, need student or the head of a family oneself to conclude.(3) cost is high.It is existing to go over examination papers
System is generally added using server and carried out by the way of high speed scanner, because the image for scanning is than larger, server video card is wanted
Ask very high, cause server relatively costly;The scanner goed over examination papers simultaneously is special equipment, and cost is high.
The content of the invention:
The present invention is for shortcoming and defect present in prior art, it is proposed that one kind can effectively mitigate teacher and repeat labor
Embedded analysis of the students system that is dynamic, improving operating efficiency, lift the successes achieved in teaching.
The present invention can be reached by following measures:
A kind of embedded analysis of the students system, it is characterised in that be provided with data cache module, total processing module, show mould
Block, internal bus, analytic unit, scanner interface module, network communication module, usb communication module and data memory module,
Wherein respectively Jing internal bus is connected with analytic unit for data cache module, total processing module, display module, in analytic unit
A determining module, grading module, wrong topic are put forward including exercise mark determining module, paper take passages module, fractional statisticses module;Print
Also Jing internal bus is connected with analytic unit for machine interface module, network communication module, usb communication module and data memory module
Connect;The data memory module be used to storing wrong topic data that the picture that produces after paper scanning and analytic unit obtain/point
New record;The telltale mark arranged when the exercise mark determining module is for determining paper printing, and then to objective item answer
Area/subjective item marking area/each exercise position is positioned;The paper puies forward a determining module for by being previously printed at paper
Specifically labelled guiding at upper answer people information is determining answer people's information;Institute's scoring module is used for true to Jing exercises mark
Cover half block to confirming after image recognition is carried out to the fractional marks in each exercise marking area, and the result of identification is carried out
Statistical analysis;The wrong topic takes passages module confirming to exercise by exercise mark determining module, and grading module is to dividing
After number is identified, wrong topic is taken passages, the exercise for doing wrong is stored in the way of picture;The fractional statisticses module
The fraction produced for grading module is analyzed, and exports chart.
Data cache module of the present invention adopts flash memory technology, for storing the centre that paper is produced during analysis
Data, the module is stored as provisional storage, loss of data after device powers down.
Total processing module of the present invention is used to coordinate management to system modules and unit.
Using the liquid crystal display with touching, for showing network connection situation, printer connects display module of the present invention
Situation, USB flash disk connection, paper processing progress, data storage situation etc..
Network communication module of the present invention is used for network service, can be obtained by the interface circuit in network communication module
Take the contents such as fractional statisticses information, mistake topic record.
Usb communication module of the present invention is mainly used in external USB flash disk, convenient to derive from system in analysis statistical information etc.
Hold.
Printer interface module of the present invention is used for external printer, for exporting the print data of analysis result.
The graphics processing unit for improving image definition is additionally provided with analytic unit of the present invention, at described image
Reason unit carries out following process for the image for reading:
Step 1:Read original image I;
Step 2:The minimum of a value of tri- passages of R, G, B of each pixel in original image I is sought, and is assigned to current pixel
Point, the gray level image for obtaining is designated as IgIf, I be gray level image, Ig=I;
Step 3:Second step is obtained I using formula (1)gImage is filtered, define Ω (x, y) be with coordinate (x,
Y) the size centered on pixel is the theastencil region of N*N, wherein taking N ∈, (9,21), the atmospheric parameter that N is tried to achieve more greatly is more
Little, the overall brightness for obtaining fog free images is relatively brighter;
Step 4:Obtain Ig darkPosition coordinates (the x of the pixel of maximum intensity in imagemax, ymax), if I is cromogram
Picture, then atmospheric parameter AR=IR(xmax, ymax)、AG=IG(xmax, ymax) and AB=IB(xmax, ymax), wherein IB、IGAnd IBRespectively
For R, G and channel B of coloured image I, if I is gray level image, its atmospheric parameter Agray=I (xmax, ymax);
Step 5:Length h and width w of image are asked for, then using formula (2) to Ig darkCoordinate condition is met in image
Pixel ask the value of its transmissivity, the value of coordinate (x, y) to meet all combinations of x and y in following condition:X=1,1+S, 1
+ 2*S ..., h, y=1,1+S, 1+2*S ..., w, step-length S ∈ (40,100), S is bigger, and the processing speed of the 6th step is faster, but
The coefficient of the regression equation of estimation relatively less accurately, goes fog effect relative mistake a little, if I is coloured image, in formula (2)If I is gray level image, A=A in formula (2)gray, ω 0 is regulation parameter, and (0,1), ω 0 gets over the wherein ∈ of ω 0
Go fog effect better greatly;
Step 6:The pixel and corresponding transmissivity being related to the 5th step using dihydric phenol linear regression analysis is carried out
Regression analysis, obtains the coefficient b of the equation such as formula (3)0、b1、b2、b3、b4And b5;
T=b0+b1*x+b2*y+b3*xy+b4*x2+b5*y2 (3)
Step 7:Transmissivity t of all pixels point is obtained using formula (3);
Step 8:Recover fog free images using formula (4), if I is coloured image, utilize in tri- passages of R, G, B respectively
Formula (4) recovers fog free images J (x), and wherein A takes respectively AR、AGAnd AB, I takes respectively IR、IGAnd IB, then three of J are respectively obtained
Passage JR、JGAnd JBIf, I be gray level image, A=Agray;
The present invention compared with prior art, with advantages below:(1) teacher's check paper flow process is not changed.The present invention is for old
The paper that teacher has read and made comments is analysed in depth, and assists teacher to be analyzed fraction, answer situation, the accuracy to each examination question
It is analyzed.Automatically analyzing for fraction is realized, programming count alleviates the burden of teacher.(2) quality of instruction is lifted.Pass through
Analysis to paper, teacher is able to know that how many student of each knowledge point answers questions, and how many student answers mistake, so as to be apparent from
Grasp situation of the student to each knowledge point, to grasping bad knowledge point supplementary interpretation can be in time carried out, and improve teaching effect
Rate, lifts quality of instruction;(3) examination question for answering mistake for student produces wrong answer list automatically.Student in examination occur mistake inscribe into
Row targetedly consolidates exercise.(4) equipment cost is low.Embedded analysis of the students device hardware adopts embedded OS, if
Standby holistic cost can reduce by more than 50% compared with general-purpose system.Simultaneously this equipment is for supporting scanner is without particular/special requirement, market
Common scanner all can be supported the use.
Description of the drawings:
Accompanying drawing 1 is the structured flowchart of the present invention.
Reference:Printer interface module 1, network communication module 2, usb communication module 3, data memory module 4, habit
Topic mark determining module 5, paper puies forward a determining module 6, grading module 7, wrong topic and takes passages module 8, fractional statisticses module 9, data
Cache module 10, total processing module 11, display module 12, internal bus 13.
Specific embodiment:
Below in conjunction with the accompanying drawings the present invention is further illustrated.
As shown in drawings, the present invention proposes a kind of embedded analysis of the students system, it is characterised in that be provided with data buffer storage
Module 10, total processing module 11, display module 12, internal bus 13, analytic unit, printer interface module 1, network service mould
Block 2, usb communication module 3 and data memory module 4, wherein data cache module 10, total processing module 11, display module 12
Respectively Jing internal bus 13 is connected with analytic unit, and analytic unit includes that exercise mark determining module 5, paper proposes head determination
Module 6, grading module 7, wrong topic take passages module 8, fractional statisticses module 9;Printer interface module 1, network communication module 2, USB
Also Jing internal bus is connected with analytic unit for communication module 3 and data memory module 4;The data memory module is used to deposit
The wrong topic data/analysis record that the picture and analytic unit produced after storage paper scanning is obtained;The exercise mark determines mould
Block is used to determine the telltale mark that paper is arranged when printing, and then area/each exercise position of giving a mark objective item answer area/subjective item
Positioned;The paper puies forward a determining module for specifically labelled at answer people information on paper by being previously printed at
Guide to determine answer people's information;Institute's scoring module is used for practising to each Jing after exercise identifies determining module to confirming
Fractional marks in topic marking area carry out image recognition, and the result of identification is carried out statistical analysis;The wrong topic takes passages module
Being confirmed to exercise by exercise mark determining module, and after grading module is identified to fraction, wrong topic is plucked
Record, the exercise for doing wrong is stored in the way of picture;The fractional statisticses module is entered for the fraction that grading module is produced
Row analysis, and export chart.
Data cache module of the present invention 10 adopts flash memory technology, for storing during paper produces during analysis
Between data, the module is stored as provisional storage, loss of data after device powers down.
Total processing module 11 of the present invention is used to coordinate management to system modules and unit.
Using the liquid crystal display with touching, for showing network connection situation, printer connects display module of the present invention 12
Connect situation, USB flash disk connection, paper processing progress, data storage situation etc..
Network communication module of the present invention 2 is used for network service, can pass through the interface circuit in network communication module
Obtain the contents such as fractional statisticses information, mistake topic record.
Usb communication module 3 of the present invention is mainly used in external USB flash disk, convenient that analysis statistical information etc. is derived from system
Content.
Printer interface module of the present invention is used for external printer, for exporting the print data of analysis result.
The graphics processing unit for improving image definition is additionally provided with analytic unit of the present invention, at described image
Reason unit carries out following process for the image for reading:
Step 1:Read original image I;
Step 2:The minimum of a value of tri- passages of R, G, B of each pixel in original image I is sought, and is assigned to current pixel
Point, the gray level image for obtaining is designated as IgIf, I be gray level image, Ig=I;
Step 3:Second step is obtained I using formula (1)gImage is filtered, define Ω (x, y) be with coordinate (x,
Y) the size centered on pixel is the theastencil region of N*N, wherein taking N ∈, (9,21), the atmospheric parameter that N is tried to achieve more greatly is more
Little, the overall brightness for obtaining fog free images is relatively brighter;
Step 4:Obtain Ig darkPosition coordinates (the x of the pixel of maximum intensity in imagemax, ymax), if I is cromogram
Picture, then atmospheric parameter AR=IR(xmax, ymax)、AG=IG(xmax, ymax) and AB=IB(xmax, ymax), wherein IB、IGAnd IBRespectively
For R, G and channel B of coloured image I, if I is gray level image, its atmospheric parameter Agray=I (xmax, ymax);
Step 5:Length h and width w of image are asked for, then using formula (2) to Ig darkCoordinate condition is met in image
Pixel ask the value of its transmissivity, the value of coordinate (x, y) to meet all combinations of x and y in following condition:X=1,1+S, 1
+ 2*S ..., h, y=1,1+S, 1+2*S ..., w, step-length S ∈ (40,100), S is bigger, and the processing speed of the 6th step is faster, but
The coefficient of the regression equation of estimation relatively less accurately, goes fog effect relative mistake a little, if I is coloured image, in formula (2)If I is gray level image, A=A in formula (2)gray, ω 0 be regulation parameter, the wherein ∈ of ω 0 (0,1), ω 0
Go fog effect better more greatly;
Step 6:The pixel and corresponding transmissivity being related to the 5th step using dihydric phenol linear regression analysis is carried out
Regression analysis, obtains the coefficient b of the equation such as formula (3)0、b1、b2、b3、b4And b5;
T=b0+b1*x+b2*y+b3*xy+b4*x2+b5*y2 (3)
Step 7:Transmissivity t of all pixels point is obtained using formula (3);
Step 8:Recover fog free images using formula (4), if I is coloured image, utilize in tri- passages of R, G, B respectively
Formula (4) recovers fog free images J (x), and wherein A takes respectively AR、AGAnd AB, I takes respectively IR、IGAnd IB, then three of J are respectively obtained
Passage JR、JGAnd JBIf, I be gray level image, A=Agray;
The present invention compared with prior art, with advantages below:(1) teacher's check paper flow process is not changed.The present invention is for old
The paper that teacher has read and made comments is analysed in depth, and assists teacher to be analyzed fraction, answer situation, the accuracy to each examination question
It is analyzed.Automatically analyzing for fraction is realized, programming count alleviates the burden of teacher.(2) quality of instruction is lifted.Pass through
Analysis to paper, teacher is able to know that how many student of each knowledge point answers questions, and how many student answers mistake, so as to be apparent from
Grasp situation of the student to each knowledge point, to grasping bad knowledge point supplementary interpretation can be in time carried out, and improve teaching effect
Rate, lifts quality of instruction;(3) examination question for answering mistake for student produces wrong answer list automatically.Student in examination occur mistake inscribe into
Row targetedly consolidates exercise.(4) equipment cost is low.Embedded analysis of the students device hardware adopts embedded OS, if
Standby holistic cost can reduce by more than 50% compared with general-purpose system.Simultaneously this equipment is for supporting scanner is without particular/special requirement, market
Common scanner all can be supported the use.
Claims (8)
1. a kind of embedded analysis of the students system, it is characterised in that be provided with data cache module, total processing module, display module,
Internal bus, analytic unit, scanner interface module, network communication module, usb communication module and data memory module, its
Respectively Jing internal bus is connected with analytic unit for middle data cache module, total processing module, display module, wraps in analytic unit
Include exercise mark determining module, paper and put forward a determining module, grading module, wrong topic extracts module, fractional statisticses module;Printer
Also Jing internal bus is connected with analytic unit for interface module, network communication module, usb communication module and data memory module
Connect;The data memory module be used to storing wrong topic data that the picture that produces after paper scanning and analytic unit obtain/point
New record;The telltale mark arranged when the exercise mark determining module is for determining paper printing, and then to objective item answer
Area/subjective item marking area/each exercise position is positioned;The paper puies forward a determining module for by being previously printed at paper
Specifically labelled guiding at upper answer people information is determining answer people's information;Institute's scoring module is used for true to Jing exercises mark
Cover half block to confirming after image recognition is carried out to the fractional marks in each exercise marking area, and the result of identification is carried out
Statistical analysis;The wrong topic takes passages module confirming to exercise by exercise mark determining module, and grading module is to dividing
After number is identified, wrong topic is taken passages, the exercise for doing wrong is stored in the way of picture;The fractional statisticses module
The fraction produced for grading module is analyzed, and exports chart.
2. a kind of embedded analysis of the students system according to claim 1, it is characterised in that the data cache module is adopted
With flash memory technology, for storing the intermediate data that paper is produced during analysis, the module is stored as provisional storage, if
Loss of data after standby power-off.
3. a kind of embedded analysis of the students system according to claim 1, it is characterised in that total processing module is used for
Management is coordinated to system modules and unit.
4. a kind of embedded analysis of the students system according to claim 1, it is characterised in that the display module adopts band
The liquid crystal display of touch, for showing network connection situation, printer connection, USB flash disk connection, paper processing progress, number
According to storage condition etc..
5. a kind of embedded analysis of the students system according to claim 1, it is characterised in that the network communication module is used
In network service, the interface circuit in network communication module can be passed through and obtain the contents such as fractional statisticses information, mistake topic record.
6. a kind of embedded analysis of the students system according to claim 1, it is characterised in that the usb communication module is main
It is convenient that the contents such as analysis statistical information are derived from system for external USB flash disk.
7. a kind of embedded analysis of the students system according to claim 1, it is characterised in that the printer interface module
For external printer, for exporting the print data of analysis result.
8. a kind of embedded analysis of the students system according to claim 1, it is characterised in that also set in the analytic unit
There is the graphics processing unit for improving image definition, described image processing unit carries out following place for the image for reading
Reason:
Step 1:Read original image I;
Step 2:The minimum of a value of tri- passages of R, G, B of each pixel in original image I is sought, and is assigned to current pixel point,
The gray level image for obtaining is designated as IgIf, I be gray level image, Ig=I;
Step 3:Second step is obtained I using formula (1)gImage is filtered, and it is with the picture of coordinate (x, y) to define Ω (x, y)
Size centered on vegetarian refreshments is the theastencil region of N*N, wherein taking N ∈, (9,21), the atmospheric parameter that N is tried to achieve more greatly is less, obtains
The overall brightness of fog free images is relatively brighter;
Step 4:Obtain Ig darkPosition coordinates (the x of the pixel of maximum intensity in imagemax, ymax), if I is coloured image,
Atmospheric parameter AR=IR(xmax, ymax)、AG=IG(xmax, ymax) and AB=IB(xmax, ymax), wherein IB、IGAnd IBIt is respectively colored
R, G and channel B of image I, if I is gray level image, its atmospheric parameter Agray=I (xmax, ymax);
Step 5:Length h and width w of image are asked for, then using formula (2) to Ig darkThe picture of coordinate condition is met in image
Vegetarian refreshments asks the value of its transmissivity, the value of coordinate (x, y) to meet all combinations of x and y in following condition:X=1,1+S, 1+2*
S ..., h, y=1,1+S, 1+2*S ..., w, (40,100), S is bigger, and the processing speed of the 6th step is faster, but estimates for step-length S ∈
The coefficient of the regression equation of meter relatively less accurately, goes fog effect relative mistake a little, if I is coloured image, in formula (2)If I is gray level image, A=A in formula (2)gray, ω 0 is regulation parameter, and (0,1), ω 0 gets over the wherein ∈ of ω 0
Go fog effect better greatly;
Step 6:The pixel and corresponding transmissivity being related to the 5th step using dihydric phenol linear regression analysis is returned
Analysis, obtains the coefficient b of the equation such as formula (3)0、b1、b2、b3、b4And b5;
T=b0+b1*x+b2*y+b3*xy+b4*x2+b5*y2 (3)
Step 7:Transmissivity t of all pixels point is obtained using formula (3);
Step 8:Recover fog free images using formula (4), if I is coloured image, utilize formula in tri- passages of R, G, B respectively
(4) fog free images J (x) are recovered, wherein A takes respectively AR、AGAnd AB, I takes respectively IR、IGAnd IB, then three passages of J are respectively obtained
JR、JGAnd JBIf, I be gray level image, A=Agray;
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CN201611258226.7A CN106651704A (en) | 2016-12-30 | 2016-12-30 | Embedded learning situation analysis system |
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ID=58837424
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112101218A (en) * | 2020-10-16 | 2020-12-18 | 深圳市迈航信息技术有限公司 | Artificial intelligence system of going over examination papers |
CN112634097A (en) * | 2020-12-23 | 2021-04-09 | 贵州树精英教育科技有限责任公司 | Learning situation analysis system based on question parameters |
-
2016
- 2016-12-30 CN CN201611258226.7A patent/CN106651704A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112101218A (en) * | 2020-10-16 | 2020-12-18 | 深圳市迈航信息技术有限公司 | Artificial intelligence system of going over examination papers |
CN112634097A (en) * | 2020-12-23 | 2021-04-09 | 贵州树精英教育科技有限责任公司 | Learning situation analysis system based on question parameters |
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