CN109636689A - A kind of intellectual education information analysis system based on big data - Google Patents
A kind of intellectual education information analysis system based on big data Download PDFInfo
- Publication number
- CN109636689A CN109636689A CN201811539905.0A CN201811539905A CN109636689A CN 109636689 A CN109636689 A CN 109636689A CN 201811539905 A CN201811539905 A CN 201811539905A CN 109636689 A CN109636689 A CN 109636689A
- Authority
- CN
- China
- Prior art keywords
- answer
- student
- terminal
- image
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007781 pre-processing Methods 0.000 claims abstract description 21
- 230000006399 behavior Effects 0.000 claims description 29
- 230000033001 locomotion Effects 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 11
- 230000005484 gravity Effects 0.000 claims description 9
- 238000007726 management method Methods 0.000 description 37
- 238000000034 method Methods 0.000 description 3
- 238000013500 data storage Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000003032 molecular docking Methods 0.000 description 2
- 238000012163 sequencing technique Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—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)
- Engineering & Computer Science (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The present invention discloses a kind of intellectual education information analysis system based on big data, including Image Acquisition terminal, image pre-processing module, teaching database, student terminal, teacher's terminal and management server；Image pre-processing module is connect with Image Acquisition terminal and teaching database respectively, and Image Acquisition terminal is connect with teaching database, and management server is connect with image pre-processing module, teaching database, student terminal and teacher's terminal respectively.The present invention passes through student terminal, teacher's terminal and combines management server, the education resource that teacher uploads is examined by gap-filling questions, multiple-choice question reconciliation answer form, the model answer stored in the answer of student and resource database is compared, and then coefficient is grasped in the knowledge point of class hour on statistic, grasp situation in the knowledge point for understanding each student convenient for teacher, the working strength for reducing teacher improves the effective analysis for learning situation to each student, and improves the learning efficiency of student.
Description
Technical field
The invention belongs to educational management technical fields, are related to a kind of intellectual education information analysis system based on big data
System.
Background technique
In traditional education process, teacher is such as pre- before the class usually in arrangement learning tasks before the class or after class
Habit, after class revision, classroom work and arrangement of homework etc., so combine, to reach the optimization of educational effect.
But since seldom students' union is consciously learnt according to the requirement of teacher, so occur previewing, review less than
The problems such as position, operation can not be completed in time, the difficulty of teachers ' classroom teaching is caused, leads to that the corresponding knowledge of explanation need to be repeated several times
There is the problems such as progress of attending class is slow, learning efficiency is low in point.
It is a kind of " classroom aided education system of the big data applied to teaching industry of CN108257056A in application publication number
Disclosed in system " " answer information for every problem that the student that the Cloud Server receives different student numbers inputs, and according to student number
The sequence of number is successively set as 0,1,2,3...., all answers of student constitute set B [i] [j]=b01, b02 ...,
B0j }, { b11, b12 ..., b1j } ..., { bi1, bi2 ..., bij } }, wherein i indicates the number of student, and number is inscribed in j expression,
And all detections inscribe corresponding correct option collection and are combined into Cj (c1, c2 ..., cj), by the answer set B [i] [j] of student and just
True answer set Cj is compared one by one, analyzes the accuracy of each studentWherein, Kmn≤
1, Kmn is the probability for indicating the n-th problem student and answering questions ", which has the following deficiencies:
(1) it is only capable of judging the number of student that per pass examination question is answered questions and the probability that examination question student answers questions, can not judge which is
A little students answer questions；
(2) it does not know that each student grasps situation to knowledge point, situation can not be grasped to knowledge point according to student and carried out
Specific aim teaching；
(3) each student cannot be grasped to the grasp situation of examination question type and examination point；
Due to each teacher with number of student it is more, if the problem of to the learning tasks of each student, carrying out
Problem is explained one by one, and the workload that will lead to teacher is huge, and working efficiency is low, influences entire teaching programme, and be unfavorable for teaching
Teacher effectively analyzes the knowledge point grasp situation of each student, is counted, to seriously affect teachers ' teaching and can not have
Effect ground improves the learning efficiency of student, there is a problem of that intelligent teaching characteristic difference and learning efficiency are low, more than solving
Problem now designs a kind of intellectual education information analysis system based on big data.
Summary of the invention
The purpose of the present invention is to provide the intellectual education information analysis system based on big data, solve existing teaching
In the process, the existing intelligent problem that teaching is poor, learning efficiency is low, and can not effectively analyze knowing when student attends class
Know point and grasps situation.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of intellectual education information analysis system based on big data, including Image Acquisition terminal, image pre-processing module,
Teaching database, student terminal, teacher's terminal and management server；Image pre-processing module respectively with Image Acquisition terminal and religion
Learn database connection, Image Acquisition terminal connect with teaching database, management server respectively with image pre-processing module, impart knowledge to students
Database, student terminal are connected with teacher's terminal；
Image Acquisition terminal is high-definition camera, teaches indoor image information for acquiring in real time, and by the image of acquisition
Information is respectively sent to teaching database and image pre-processing module；
Image pre-processing module is used to receive the image information that each image acquisition units are sent in Image Acquisition terminal, docking
The images of receipts carries out brightness, clarity is adjusted, until the brightness of image and clarity that adjust meet and store in teaching database
The normal brightness threshold values and clarity threshold values of image, and the image after adjusting is sent to management server；
Teaching database uploads education resource for storing the corresponding luminance threshold of image information and clarity threshold values, storage
The answer of standard multiple-choice question, the answer of standard gap-filling questions and standard answer inscribe answer, the standard for storing several students upper class hour is attended class
Behavior act, and store the image information and student terminal of the education resource of teacher's terminal upload, the acquisition of Image Acquisition terminal
The operation performance of upload, knowledge point Check；
Student terminal downloads the education resource of student teacher terminal upload for whether acquiring student at seat, right
The education resource of downloading carries out knowledge point examination, and analyzes operation performance, and by the answer of examination, operation performance with
And whether the information on seat is sent to management server to student；
Teacher's terminal edits the education resource of upload to management server for uploading education resource, and receives
The image information of management server transmission, each student knowledge point grasp situation；
Management server receives the image information that image pre-processing module is sent, when to received image information according to receiving
Between sequencing be ranked up, respectively 1,2 ..., i ..., h extract student's movement in image, obtain student
Motion images set Si(si1,si2,...,sij,....,siH), siThe behavior that j is expressed as j-th of student in i-th of image is dynamic
Make, h is expressed as the image number of shooting, received image information is sent to teacher's terminal, and by student's motion images set
Behavior act of attending class with the student's standard stored in teaching database compares, and obtains student and acts comparison set S 'i(s′i1,
s′i2,...,s′ij,....,s′iH), s 'iJ is expressed as in i-th of image on the behavior act of j-th of student and student's standard
The comparison of class behavior act, if the behavior act of j-th of student and student's standard behavior act of attending class are identical in i-th of image,
Then take s 'iJ is equal to 1, conversely, then taking s 'iJ is equal to 0；
Management server receives the education resource that teacher's terminal uploads, and received education resource is sent to student's end
End, meanwhile, management server receives examination answer, operation performance and the student of student terminal transmission whether on seat
Information, examination answer is divided according to topic type classification, multiple-choice question, gap-filling questions reconciliation answer, each student's examination are divided into
Multiple-choice question, the corresponding answer of gap-filling questions reconciliation answer arranged according to sequence of each topic type in same topic type classification, point
It Gou Cheng not multiple-choice question set Aj(aj1,aj2,....,ajN), gap-filling questions set Bj(bj1,bj2,....,bjM), solve answer set Cj
(cj1,cj2,....,cjK), wherein n, m, k are expressed as multiple-choice question quantity, the quantity of gap-filling questions, the quantity for solving answer,
ajn、bjM and cjK table be shown respectively as the n-th multiple-choice question answer of j-th of student, the road the m gap-filling questions answer of j-th student and
The kth road solution answer answer of j-th of student, a in multiple-choice questionj1,aj2,....,ajThe corresponding weight of n is gaj1,gaj2,....,
gajN, b in gap-filling questionsj1,bj2,....,bjThe corresponding weight of m is gbj1,gbj2,....,gbjM, c in gap-filling questionsj1,
cj2,....,cjThe corresponding weight of k is gcj1,gcj2,....,gcjK, and
gaj1+gaj2+....+gajn+gbj1+gbj2+....+gbjm+gcj1+gcj2+....+gcjK=1；
Management server by the multiple-choice question of each student, gap-filling questions reconciliation answer respectively with the standard that is stored in resource database
Multiple-choice question answer, the answer of standard gap-filling questions and standard answer topic answer are compared one by one, are respectively obtained student's multiple-choice question and are answered
Case compares set A 'j(a′j1,a′j2,....,a′jN), gap-filling questions answer compares set B 'j(bj′1,b′j2,....,b′jM), it solves
Answer answer compares set Cj(cj1,cj2,....,c′jK), wherein the multiple-choice question of A ' i, B ' i, C ' i j-th of student respectively are answered
Case comparison set, gap-filling questions answer comparison set reconciliation answer answer comparison set, and a 'jN is expressed as the n-th of j-th of student
The reduced value of the n-th multiple-choice question model answer stored in road multiple-choice question answer and resource database, b 'jM is expressed as j-th
The reduced value of the road the m gap-filling questions model answer stored in the raw gap-filling questions answer of the road m and resource database, c 'jK is expressed as
The reduced value of the kth road solution answer model answer stored in the kth road solution answer answer of j-th of student and resource database, if
Multiple-choice question/gap-filling questions/solution answer answer of j-th of student is consistent with the model answer of setting, then shows a 'jN is equal to 1/a 'jn
Equal to 1/c 'jK is equal to 1, if, if multiple-choice question/gap-filling questions/solution answer answer and setting model answer of operation is completed in student
It does not meet, then shows that a ' in is equal to 0/b ' im and is equal to 0/c ' ik equal to 0；Management server according to multiple-choice question answer comparison set,
Gap-filling questions answer comparison set, solution answer answer comparison set and student act comparison set, count knowing for the student upper class hour
Know point and grasp coefficient, the knowledge point of the student is grasped coefficient and is sent to teacher's terminal by management server.
Further, student terminal includes pressure acquisition module, data download module, answer input module, processor, number
According to memory module and assessment uploading module, processor is respectively pressure acquisition module, data download module, data storage mould
Block is connected with assessment uploading module；
Pressure acquisition module is mounted on student seat, pressure acquisition module be pressure sensor, to each pressure sensing into
Row number, and the corresponding number of pressure sensor number corresponding with seat student is identical, pressure acquisition module is for real-time
The pressure value on seat is acquired, and the corresponding number of the pressure value of acquisition and the pressure sensor is sent to processor；
Data download module from teaching database for carrying out the downloading of education resource, and by the education resource after downloading
It is sent to processor；
Answer input module carries out the input of answer for student, and the answer content after input is sent to processor；
Assessment uploading module is used to receive the students' work performance of processor transmission and the operation of completion is answered
Case, and it is uploaded to management server；
It is corresponding to store student on the seat for education resource after the downloading that data memory module is sent for storage processor
Pressure value and the corresponding number of each student of storage, the corresponding number of student is ranked up according to the sequence of setting；
Processor receives the pressure value and the corresponding number of pressure acquisition module that pressure acquisition module is sent, and will number
The number corresponding pressure value stored in corresponding pressure value and data memory module compares, if acquisition pressure value with
The pressure value of the number of storage is identical, then shows that number student is seated on the seat, conversely, then showing the student not at seat
On；The education resource of data download module downloading is received, and received education resource is sent to data memory module；Reception is answered
The answer content that case input module is sent judges students' work performance according to the answer content of input, and by students' work
The operation answer of performance and completion is sent to assessment uploading module.
Further, teacher's terminal includes resource uploading module, resource edit module and display module, resource uploading module
For uploading education resource to management server；
Resource edit module is used to the operation such as increase the education resource after upload, delete, modify, and realizes to study
The editorial management of resource；
Display module is used to receive the image information of management server transmission and each student knowledge point grasps coefficient.
Further, the knowledge point grasp coefficient of the student upper class hour isU, which is expressed as study, to be influenced
The factor takes 0.813, s 'iJ is expressed as the behavior act of j-th of student and student's standard in i-th of image and attends class behavior act
Reduced value, a 'jN is expressed as the n-th multiple-choice question mark stored in the n-th multiple-choice question answer and resource database of j-th of student
The reduced value of quasi- answer, b 'jM is expressed as the road m stored in the gap-filling questions answer of the road m and resource database of j-th of student
The reduced value of gap-filling questions model answer, c 'jK is expressed as storing in the solution answer answer of kth road and resource database of j-th of student
The solution answer model answer of kth road reduced value, gajN is expressed as the corresponding specific gravity of the n-th multiple-choice question answer of j-th of student,
gbjM is expressed as the corresponding specific gravity of the road m gap-filling questions answer of j-th of student, gcjK is expressed as the kth road answer of j-th of student
Inscribe the corresponding specific gravity of answer.
Beneficial effects of the present invention:
Intellectual education information analysis system provided by the invention based on big data, can be acquired by Image Acquisition terminal
Student's image information of upper class hour, and gather image pre-processing module and management server and the image of acquisition is handled, with
Determined whether the behavior act of each student upper class hour meets the study movement of attending class met, simultaneously by student terminal, teacher's terminal
In conjunction with management server, the education resource that teacher uploads is examined according to gap-filling questions, multiple-choice question reconciliation answer form, will be learned
The model answer stored in raw answer and resource database compares, and then system is grasped in the knowledge point of class hour on statistic
Number, the knowledge point for intuitively understanding each student convenient for teacher grasp situation, reduce the working strength of teacher, improve to each student
Learn effective analysis of situation, and improves the learning efficiency of student.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of the intellectual education information analysis system based on big data in the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, a kind of intellectual education information analysis system based on big data, including Image Acquisition terminal,
Image pre-processing module, teaching database, student terminal, teacher's terminal and management server；Image pre-processing module respectively with
Image Acquisition terminal is connected with teaching database, and Image Acquisition terminal is connect with teaching database, management server respectively with figure
As preprocessing module, teaching database, student terminal are connected with teacher's terminal；
Image Acquisition terminal is high-definition camera, teaches indoor image information for acquiring in real time, and by the image of acquisition
Information is respectively sent to teaching database and image pre-processing module；
Image pre-processing module is used to receive the image information that each image acquisition units are sent in Image Acquisition terminal, docking
The images of receipts carries out brightness, clarity is adjusted, until the brightness of image and clarity that adjust meet and store in teaching database
The normal brightness threshold values and clarity threshold values of image, and the image after adjusting is sent to management server；
Teaching database uploads education resource for storing the corresponding luminance threshold of image information and clarity threshold values, storage
The answer of standard multiple-choice question, the answer of standard gap-filling questions and standard answer inscribe answer, the standard for storing several students upper class hour is attended class
Behavior act, and store the image information and student terminal of the education resource of teacher's terminal upload, the acquisition of Image Acquisition terminal
The operation performance of upload, knowledge point Check；
Student terminal downloads the education resource of student teacher terminal upload for whether acquiring student at seat, right
The education resource of downloading carries out knowledge point examination, and analyzes operation performance, and by the answer of examination, operation performance with
And whether the information on seat is sent to management server to student；
Student terminal includes pressure acquisition module, data download module, answer input module, processor, data storage mould
Block and assessment uploading module, processor are respectively pressure acquisition module, data download module, data memory module and operation
Examine uploading module connection；
Pressure acquisition module is mounted on student seat, pressure acquisition module be pressure sensor, to each pressure sensing into
Row number, and the corresponding number of pressure sensor number corresponding with seat student is identical, pressure acquisition module is for real-time
The pressure value on seat is acquired, and the corresponding number of the pressure value of acquisition and the pressure sensor is sent to processor；
Data download module from teaching database for carrying out the downloading of education resource, and by the education resource after downloading
It is sent to processor；
Answer input module carries out the input of answer for student, and the answer content after input is sent to processor；
Assessment uploading module is used to receive the students' work performance of processor transmission and the operation of completion is answered
Case, and it is uploaded to management server；
It is corresponding to store student on the seat for education resource after the downloading that data memory module is sent for storage processor
Pressure value and the corresponding number of each student of storage, the corresponding number of student is ranked up according to the sequence of setting；
Processor receives the pressure value and the corresponding number of pressure acquisition module that pressure acquisition module is sent, and will number
The number corresponding pressure value stored in corresponding pressure value and data memory module compares, if acquisition pressure value with
The pressure value of the number of storage is identical, then shows that number student is seated on the seat, conversely, then showing the student not at seat
On；The education resource of data download module downloading is received, and received education resource is sent to data memory module；Reception is answered
The answer content that case input module is sent judges students' work performance according to the answer content of input, and by students' work
The operation answer of performance and completion is sent to assessment uploading module.
Teacher's terminal edits the education resource of upload to management server for uploading education resource, and receives
The image information of management server transmission, each student knowledge point grasp situation；
Teacher's terminal includes resource uploading module, resource edit module and display module, and resource uploading module is for uploading
Education resource is to management server；
Resource edit module is used to the operation such as increase the education resource after upload, delete, modify, and realizes to study
The editorial management of resource；
Display module is used to receive the image information of management server transmission and each student knowledge point grasps coefficient.
Management server receives the image information that image pre-processing module is sent, when to received image information according to receiving
Between sequencing be ranked up, respectively 1,2 ..., i ..., h extract student's movement in image, obtain student
Motion images set Si(si1,si2,...,sij,....,siH), siThe behavior that j is expressed as j-th of student in i-th of image is dynamic
Make, h is expressed as the image number of shooting, received image information is sent to teacher's terminal, and by student's motion images set
Behavior act of attending class with the student's standard stored in teaching database compares, and obtains student and acts comparison set S 'i′(s′i1,s′i2 ..., s 'iJ ..., s 'iH), s 'iJ is expressed as the behavior act of j-th of student and student's standard in i-th of image
It attends class the comparison of behavior act, if the behavior act of j-th of student and student's standard are attended class behavior act phase in i-th of image
Together, then s ' is takeniJ is equal to 1, conversely, then taking s 'iJ is equal to 0；
Management server receives the education resource that teacher's terminal uploads, and received education resource is sent to student's end
End, meanwhile, management server receives examination answer, operation performance and the student of student terminal transmission whether on seat
Information, examination answer is divided according to topic type classification, multiple-choice question, gap-filling questions reconciliation answer, each student's examination are divided into
Multiple-choice question, the corresponding answer of gap-filling questions reconciliation answer arranged according to sequence of each topic type in same topic type classification, point
It Gou Cheng not multiple-choice question set Aj(aj1,aj2,....,ajN), gap-filling questions set Bj(bj1,bj2,....,bjM), solve answer set Cj
(cj1,cj2,....,cjK), wherein n, m, k are expressed as multiple-choice question quantity, the quantity of gap-filling questions, the quantity for solving answer,
ajn、bjM and cjK table be shown respectively as the n-th multiple-choice question answer of j-th of student, the road the m gap-filling questions answer of j-th student and
The kth road solution answer answer of j-th of student, a in multiple-choice questionj1,aj2,....,ajThe corresponding weight of n is gaj1,gaj2,....,
gajN, b in gap-filling questionsj1,bj2,....,bjThe corresponding weight of m is gbj1,gbj2,....,gbjM, c in gap-filling questionsj1,
cj2,....,cjThe corresponding weight of k is gcj1,gcj2,....,gcjK, and
gaj1+gaj2+....+gajn+gbj1+gbj2+....+gbjm+gcj1+gcj2+....+gcjK=1；
Management server by the multiple-choice question of each student, gap-filling questions reconciliation answer respectively with the standard that is stored in resource database
Multiple-choice question answer, the answer of standard gap-filling questions and standard answer topic answer are compared one by one, are respectively obtained student's multiple-choice question and are answered
Case compares set A 'j(a′j1,a′j2,....,a′jN), gap-filling questions answer compares set B 'j(b′j1,b′j2,....,b′jM), it solves
Answer answer compares set Cj(cj1,cj2,....,c′jK), wherein the multiple-choice question of A ' i, B ' i, C ' i j-th of student respectively are answered
Case comparison set, gap-filling questions answer comparison set reconciliation answer answer comparison set, and a 'jN is expressed as the n-th of j-th of student
The reduced value of the n-th multiple-choice question model answer stored in road multiple-choice question answer and resource database, b 'jM is expressed as j-th
The reduced value of the road the m gap-filling questions model answer stored in the raw gap-filling questions answer of the road m and resource database, c 'jK is expressed as
The reduced value of the kth road solution answer model answer stored in the kth road solution answer answer of j-th of student and resource database, if
Multiple-choice question/gap-filling questions/solution answer answer of j-th of student is consistent with the model answer of setting, then shows a 'jN is equal to 1/a 'jn
Equal to 1/c 'jK is equal to 1, if, if multiple-choice question/gap-filling questions/solution answer answer and setting model answer of operation is completed in student
It does not meet, then shows that a ' in is equal to 0/b ' im and is equal to 0/c ' ik equal to 0；Management server according to multiple-choice question answer comparison set,
Gap-filling questions answer comparison set, solution answer answer comparison set and student act comparison set, count knowing for the student upper class hour
Know point and grasps coefficientU table
It is shown as study impact factor, takes 0.813, s 'iJ is expressed as in i-th of image on the behavior act of j-th of student and student's standard
The reduced value of class behavior act, a 'jN is expressed as store in the n-th multiple-choice question answer and resource database of j-th of student the
The reduced value of the road n multiple-choice question model answer, b 'jM is expressed as in the gap-filling questions answer of the road m and the resource database of j-th of student
The reduced value of the road the m gap-filling questions model answer of storage, c 'jK is expressed as the solution answer answer of kth road and resource of j-th of student
The reduced value of the kth road solution answer model answer stored in database, gajThe n-th multiple-choice question that n is expressed as j-th of student is answered
The corresponding specific gravity of case, gbjM is expressed as the corresponding specific gravity of the road m gap-filling questions answer of j-th of student, gcjK is expressed as j-th
The corresponding specific gravity of the road Shengk solution answer answer, whereinIt is expressed as j-th of student's multiple-choice question reduced value
With；It is expressed as the sum of j-th of student's gap-filling questions reduced value；Indicate j-th of student's solution
The sum of answer reduced value；The grasp situation that each student conciliates answer to multiple-choice question, gap-filling questions is reflected by the sum of reduced value；The total ratio of examination for representing student is converted into total score tabulation
Show, that is, represents the examination score of student；
Knowledge point grasp coefficient is higher, shows the more of the knowledge point grasp of the student, management server is by the student's
It grasps coefficient and is sent to teacher's terminal in knowledge point.
Intellectual education information analysis system provided by the invention based on big data, can be acquired by Image Acquisition terminal
Student's image information of upper class hour, and gather image pre-processing module and management server and the image of acquisition is handled, with
Determined whether the behavior act of each student upper class hour meets the study movement of attending class met, simultaneously by student terminal, teacher's terminal
In conjunction with management server, the education resource that teacher uploads is examined according to gap-filling questions, multiple-choice question reconciliation answer form, will be learned
The model answer stored in raw answer and resource database compares, and then system is grasped in the knowledge point of class hour on statistic
Number reduces the working strength of teacher convenient for religion, improves the effective analysis for learning situation to each student, and improve student's
Learning efficiency.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or is substituted in a similar manner, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (4)
1. a kind of intellectual education information analysis system based on big data, it is characterised in that: pre- including Image Acquisition terminal, image
Processing module, teaching database, student terminal, teacher's terminal and management server；Image pre-processing module is adopted with image respectively
Collection terminal is connected with teaching database, and Image Acquisition terminal is connect with teaching database, and management server is located with image in advance respectively
Reason module, teaching database, student terminal are connected with teacher's terminal；
Student terminal downloads the education resource of student teacher terminal upload for whether acquiring student at seat, to downloading
Education resource carry out knowledge point examination, and analyze operation performance, and by the answer of examination, operation performance and
It is raw that whether the information on seat is sent to management server；
Teacher's terminal edits the education resource of upload to management server for uploading education resource, and receives management
The image information of server transmission, each student knowledge point grasp situation；
Management server receives the image information that image pre-processing module is sent, to received image information according to receiving time elder generation
It is sequentially ranked up afterwards, respectively 1,2 ..., i ..., h, student's movement in image is extracted, student's movement is obtained
Image collection Si(si1,si2,...,sij,....,siH), siJ is expressed as the behavior act of j-th of student in i-th of image, h
It is expressed as the image number of shooting, received image information is sent to teacher's terminal, and by student's motion images set and teach
It learns the behavior act of attending class of student's standard for storing in database to compare, obtains student and act comparison set S 'i(s′i1,s′i2,...,s′ij,....,s′iH), s 'ij
The behavior act of j-th of student and student's standard in i-th of image is expressed as to attend class the comparison of behavior act, if i-th
The behavior act of j-th of student and student's standard behavior act of attending class are identical in image, then take s 'iJ is equal to 1, conversely, then taking s 'iJ is equal to 0；
Management server receives the education resource that teacher's terminal uploads, and received education resource is sent to student terminal, together
When, management server receive student terminal send examination answer, operation performance and student whether the letter on seat
Breath divides examination answer according to topic type classification, is divided into multiple-choice question, gap-filling questions reconciliation answer, the choosing of each student's examination
Select topic, the corresponding answer of gap-filling questions reconciliation answer is arranged according to sequence of each topic type in same topic type classification, difference structure
At multiple-choice question set Aj(aj1,aj2,....,ajN), gap-filling questions set Bj(bj1,bj2,....,bjM), solve answer set Cj
(cj1,cj2,....,cjK), wherein n, m, k are expressed as multiple-choice question quantity, the quantity of gap-filling questions, the quantity for solving answer,
ajn、bjM and cjK table be shown respectively as the n-th multiple-choice question answer of j-th of student, the road the m gap-filling questions answer of j-th student and
The kth road solution answer answer of j-th of student, a in multiple-choice questionj1,aj2,....,ajThe corresponding weight of n is gaj1,gaj2,....,
gajN, b in gap-filling questionsj1,bj2,....,bjThe corresponding weight of m is gbj1,gbj2,....,gbjM, c in gap-filling questionsj1,
cj2,....,cjThe corresponding weight of k is gcj1,gcj2,....,gcjK, and
gaj1+gaj2+....+gajn+gbj1+gbj2+....+gbjm+gcj1+gcj2+....+gcjK=1；
Management server selects the multiple-choice question of each student, gap-filling questions reconciliation answer with the standard stored in resource database respectively
Topic answer, the answer of standard gap-filling questions and standard answer topic answer are compared one by one, respectively obtain student's multiple-choice question answer pair
Than set Aj′(a′j1,a′j2,....,a′jN), gap-filling questions answer compares set B 'j(b′j1,b′j2,....,b′jM), answer is solved
Answer compares set Cj(cj1,cj2,....,c′jK), wherein A ' i, B ' i, C ' i distinguish the multiple-choice question answer pair of j-th of student
Set, and a ' are compared than set, gap-filling questions answer comparison set reconciliation answer answerjN is expressed as the n-th choosing of j-th of student
Select the reduced value of the n-th multiple-choice question model answer stored in topic answer and resource database, b 'jM is expressed as j-th of student's
The reduced value of the road the m gap-filling questions model answer stored in the gap-filling questions answer of the road m and resource database, c 'jK is expressed as jth
The reduced value of the kth road solution answer model answer stored in the kth road solution answer answer of a student and resource database, if jth
Multiple-choice question/gap-filling questions/solution answer answer of a student is consistent with the model answer of setting, then shows a 'jN is equal to 1/b 'jM etc.
In 1/c 'jK is equal to 1, if, if multiple-choice question/gap-filling questions/solution answer answer and setting model answer of operation is completed in student
It does not meet, then shows that a ' in is equal to 0/b ' im and is equal to 0/c ' ik equal to 0；Management server according to multiple-choice question answer comparison set,
Gap-filling questions answer comparison set, solution answer answer comparison set and student act comparison set, count knowing for the student upper class hour
Knew point and grasp coefficient, the knowledge point of the student upper class hour grasps coefficient and isU, which is expressed as study, to be influenced
The factor takes 0.813, s 'iJ is expressed as the behavior act of j-th of student and student's standard in i-th of image and attends class behavior act
Reduced value, a 'jN is expressed as the n-th multiple-choice question mark stored in the n-th multiple-choice question answer and resource database of j-th of student
The reduced value of quasi- answer, b 'jM is expressed as the road m stored in the gap-filling questions answer of the road m and resource database of j-th of student
The reduced value of gap-filling questions model answer, c 'jK is expressed as storing in the solution answer answer of kth road and resource database of j-th of student
The solution answer model answer of kth road reduced value, gajN is expressed as the corresponding specific gravity of the n-th multiple-choice question answer of j-th of student,
gbjM is expressed as the corresponding specific gravity of the road m gap-filling questions answer of j-th of student, gcjK is expressed as the kth road answer of j-th of student
Inscribe the corresponding specific gravity of answer；
The knowledge point of the student is grasped coefficient and is sent to teacher's terminal by management server.
2. a kind of intellectual education information analysis system based on big data according to claim 1, it is characterised in that: image
Acquisition terminal is high-definition camera, teaches indoor image information for acquiring in real time, and the image information of acquisition is sent respectively
To teaching database and image pre-processing module；
Image pre-processing module is used to receive the image information that each image acquisition units are sent in Image Acquisition terminal, to received
Image carries out brightness, clarity is adjusted, until the brightness of image and clarity that adjust meet the image stored in teaching database
Normal brightness threshold values and clarity threshold values, and the image after adjusting is sent to management server；
Teaching database uploads the mark of education resource for storing the corresponding luminance threshold of image information and clarity threshold values, storage
Quasi- multiple-choice question answer, the answer of standard gap-filling questions and standard answer inscribe answer, and the standard for storing several students upper class hour is attended class behavior
Movement, and store the education resource of teacher's terminal upload, the image information of Image Acquisition terminal acquisition and student terminal and upload
Operation performance, knowledge point Check.
3. a kind of intellectual education information analysis system based on big data according to claim 1, it is characterised in that: student
Terminal includes pressure acquisition module, data download module, answer input module, processor, data memory module and assessment
Uploading module, processor are respectively pressure acquisition module, data download module, data memory module and assessment uploading module
Connection；
Pressure acquisition module is mounted on student seat, and pressure acquisition module is pressure sensor, is compiled to each pressure sensing
Number, and the corresponding number of pressure sensor number corresponding with seat student is identical, pressure acquisition module for acquiring in real time
Pressure value on seat, and the corresponding number of the pressure value of acquisition and the pressure sensor is sent to processor；
Data download module is sent for carrying out the downloading of education resource from teaching database, and by the education resource after downloading
To processor；
Answer input module carries out the input of answer for student, and the answer content after input is sent to processor；
Assessment uploading module is used to receive the students' work performance of processor transmission and the operation answer of completion, and
It is uploaded to management server；
Education resource after the downloading that data memory module is sent for storage processor, stores the corresponding pressure of student on the seat
Force value and the corresponding number of each student of storage, the corresponding number of student are ranked up according to the sequence of setting；
Processor receives the pressure value and the corresponding number of pressure acquisition module that pressure acquisition module is sent, and number is corresponded to
Pressure value and data memory module in the number corresponding pressure value that stores compare, if the pressure value and storage of acquisition
The number pressure value it is identical, then show that number student is seated on the seat, conversely, then showing the student not on seat；
The education resource of data download module downloading is received, and received education resource is sent to data memory module；Receive answer
The answer content that input module is sent judges students' work performance, and students' work is complete according to the answer content of input
Assessment uploading module is sent at the operation answer of situation and completion.
4. a kind of intellectual education information analysis system based on big data according to claim 1, it is characterised in that: teacher
Terminal includes resource uploading module, resource edit module and display module, and resource uploading module is for uploading education resource to pipe
Manage server；
Resource edit module is used to the operation such as increase the education resource after upload, delete, modify, and realizes to education resource
Editorial management；
Display module is used to receive the image information of management server transmission and each student knowledge point grasps coefficient.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2018110992425 | 2018-09-20 | ||
| CN201811099242.5A CN109166064A (en) | 2018-09-20 | 2018-09-20 | A kind of intellectual education information analysis system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109636689A true CN109636689A (en) | 2019-04-16 |
Family
ID=64879845
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811099242.5A Withdrawn CN109166064A (en) | 2018-09-20 | 2018-09-20 | A kind of intellectual education information analysis system based on big data |
| CN201811539905.0A Pending CN109636689A (en) | 2018-09-20 | 2018-12-17 | A kind of intellectual education information analysis system based on big data |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811099242.5A Withdrawn CN109166064A (en) | 2018-09-20 | 2018-09-20 | A kind of intellectual education information analysis system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN109166064A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111369849A (en) * | 2020-03-12 | 2020-07-03 | 西安理工大学 | Online and offline interactive teaching method based on professional classes |
| CN112669181A (en) * | 2020-12-29 | 2021-04-16 | 吉林工商学院 | Assessment method for education practice training |
| CN112767203A (en) * | 2021-01-19 | 2021-05-07 | 上海蕴迩通讯设备有限公司 | Student learning management method, system and equipment |
| CN113139885A (en) * | 2020-01-16 | 2021-07-20 | 广州致远科教软件有限公司 | Teaching management system and management method thereof |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109712453A (en) * | 2019-02-28 | 2019-05-03 | 安徽腾策网络科技有限公司 | A kind of software Training Management Information System based on big data |
| CN110930784A (en) * | 2019-10-30 | 2020-03-27 | 河南智业科技发展有限公司 | Internet-based education learning system and method |
| CN112001826A (en) * | 2020-08-26 | 2020-11-27 | 重庆满惠网络科技有限公司 | Educational information intelligent classification system based on big data |
| CN114038256B (en) * | 2021-11-29 | 2022-07-12 | 西南医科大学 | Teaching interactive system based on artificial intelligence |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108257056A (en) * | 2018-01-23 | 2018-07-06 | 余绍志 | A kind of classroom assisted teaching system for the big data for being applied to teaching industry |
| CN108492650A (en) * | 2018-03-13 | 2018-09-04 | 广州建翎电子技术有限公司 | A kind of smart classroom tutoring system based on cloud platform |
| CN108510417A (en) * | 2018-04-11 | 2018-09-07 | 广州国铭职业技能培训有限公司 | A kind of department service knowledge training management system |
| CN108538125A (en) * | 2018-04-25 | 2018-09-14 | 广州国铭职业技能培训有限公司 | A kind of classroom instruction management system based on big data |
-
2018
- 2018-09-20 CN CN201811099242.5A patent/CN109166064A/en not_active Withdrawn
- 2018-12-17 CN CN201811539905.0A patent/CN109636689A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108257056A (en) * | 2018-01-23 | 2018-07-06 | 余绍志 | A kind of classroom assisted teaching system for the big data for being applied to teaching industry |
| CN108492650A (en) * | 2018-03-13 | 2018-09-04 | 广州建翎电子技术有限公司 | A kind of smart classroom tutoring system based on cloud platform |
| CN108510417A (en) * | 2018-04-11 | 2018-09-07 | 广州国铭职业技能培训有限公司 | A kind of department service knowledge training management system |
| CN108538125A (en) * | 2018-04-25 | 2018-09-14 | 广州国铭职业技能培训有限公司 | A kind of classroom instruction management system based on big data |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113139885A (en) * | 2020-01-16 | 2021-07-20 | 广州致远科教软件有限公司 | Teaching management system and management method thereof |
| CN111369849A (en) * | 2020-03-12 | 2020-07-03 | 西安理工大学 | Online and offline interactive teaching method based on professional classes |
| CN112669181A (en) * | 2020-12-29 | 2021-04-16 | 吉林工商学院 | Assessment method for education practice training |
| CN112669181B (en) * | 2020-12-29 | 2023-06-30 | 吉林工商学院 | Assessment method for education practice training |
| CN112767203A (en) * | 2021-01-19 | 2021-05-07 | 上海蕴迩通讯设备有限公司 | Student learning management method, system and equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109166064A (en) | 2019-01-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109636689A (en) | A kind of intellectual education information analysis system based on big data | |
| WO2019028592A1 (en) | Teaching assistance method and teaching assistance system using said method | |
| CN104575140A (en) | Intelligent terminal network teaching method | |
| CN105469662A (en) | Student answer information real-time collection and efficient and intelligent correcting system and use method in teaching process | |
| CN111931598B (en) | Intelligent real-time classroom analysis method and system based on face recognition | |
| WO2023131361A2 (en) | Big-data-based teaching planning method and system | |
| CN105723437A (en) | An intelligent teaching system | |
| CN111027865A (en) | Classroom teaching analysis and quality assessment system and method based on intelligent behavior and expression recognition | |
| CN110910038A (en) | Method for constructing teacher teaching portrait model based on network course | |
| CN108257056A (en) | A kind of classroom assisted teaching system for the big data for being applied to teaching industry | |
| CN109147442A (en) | Sync instruction system based on student classroom answer situation | |
| CN114115392A (en) | Intelligent classroom control system and method based on 5G cloud edge combination | |
| CN107886451A (en) | Exercise individualized fit method in the Teaching System of mobile terminal | |
| CN109214965A (en) | Data preparation method, system and device | |
| CN106056997A (en) | Computer multimedia remote education training teaching device | |
| CN107844913A (en) | Intelligent vocational early warning system based on big data statistical analysis | |
| CN112185198B (en) | Mobile intelligent teaching system based on data acquisition and information transfer technology | |
| CN109191968A (en) | Language education robot and more educational robot langue leaning systems | |
| CN108806375A (en) | A kind of interactive teaching method and system based on image recognition | |
| CN110717847A (en) | Digital campus management system | |
| CN112116841A (en) | Personalized remote education system and method based on deep learning | |
| CN113971622A (en) | Accurate teaching system based on big data | |
| CN110189236A (en) | Alarming system method based on big data | |
| CN110503346A (en) | School-based training quality evaluation platform, system and method based on data depth analysis | |
| CN109410155A (en) | A kind of College Students ' Education training system and method |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190416 |
|
| RJ01 | Rejection of invention patent application after publication |