CN106547815A - A kind of specific aim operation generation method and system based on big data - Google Patents
A kind of specific aim operation generation method and system based on big data Download PDFInfo
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- CN106547815A CN106547815A CN201610845335.2A CN201610845335A CN106547815A CN 106547815 A CN106547815 A CN 106547815A CN 201610845335 A CN201610845335 A CN 201610845335A CN 106547815 A CN106547815 A CN 106547815A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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Abstract
The present invention relates to a kind of specific aim operation generation method and system based on big data, based on big data means, big data analysis is carried out by the knowledge structure to magnanimity student, study course and state, grasp different type student learning rule, student learning history and Thinking Characteristics are directed to according to rule, for the targetedly precisely operation of its arrangement, which is aided in learn.And by the sample of continuous accumulation, the specific aim operation of learning state data and generation including continuous collection, renewal is trained to operation generation model, enables operation generation model to follow the real-time level of student to be updated, so as to obtain all the time accurately specific aim operation.The present invention is while student learning status data is gathered, the information of giving lessons of synchronous acquisition teacher, audio frequency and video of such as giving lessons and writing on the blackboard etc., to know the correspondence of Students ' Learning state and teacher's explanation content, explanation mode, content and details, assist in teacher's adjustment teaching method and content.
Description
Technical field
The present invention relates to data screening technology, more particularly, it relates to a kind of specific aim operation based on big data is generated
Method, and a kind of specific aim operation generation system based on big data.
Background technology
Under the overall situation for more focusing on teaching students in accordance with their aptitude, the versatility on school classroom is given lessons and cannot meet different students not
With giving lessons emphasis, within the limited time, teacher cannot complete the student to varying level and carry out specific aim to give lessons, and particularly make
In terms of industry, as the conventional means that detection learning outcome is learnt by oneself with training of students, general operation cannot accurately embody each
Raw true study situation is put, and learning effect has discount.
Student is made up using the make-up lessons after class of bottom class, not only increases student load and economic pressures,
And do not conform under the background of rule in the extracurricular make-up lessons of teacher, lacking the make-up lessons industry that regular teacher participates in, uneven anon-normal
Rule teacher is also difficult to ensure that quality of instruction.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided one kind can be for different student's arrangement different works
The specific aim operation generation method based on big data, and based on big data specific aim operation generate system.
Technical scheme is as follows：
A kind of specific aim operation generation method based on big data, arranges operation generation model, gathers of target student
Status data is practised, target student learning state is identified based on operation generation model, obtain generating the constraint bar of operation
Part, according to the exercise question that constraints selects to match from exam pool, generates specific aim operation.
Preferably, operation generation model is with the history learning status data of student, by the side of artificial or machine learning
Formula obtains operation generation model.
Preferably, dividing different type, different types of history learning state to the history learning status data of student
Data correspondence generates an operation generation model.
Preferably, collect target student learning status data, when generating specific aim operation to target student, by target
All learning state data of student find the operation generation model matched with target student as input.
Preferably, after the exercise question for matching is selected from exam pool, Jing after manual amendment, regenerating specific aim operation.
Preferably, the manual amendment of the specific aim operation for generating is used as sample, the history learning status data with student
It is provided commonly for more new job generation model.
Preferably, learning state data include classroom behavior data and operation behaviour data.
Preferably, collection classroom behavior data when, the information of giving lessons of synchronous acquisition teacher, by classroom behavior data with award
Class information is associated, and obtains classroom behavior and lecture contents, the correspondence given lessons between behavior of student.
Preferably, the focus point of sight, operating state when classroom behavior data include that student listens to the teacher, writing behavior, language
Message ceases；The focus point of sight, operating state when operation behaviour data include students' work, write behavior, voice messaging, write
Content and the sequential write.
A kind of specific aim operation based on big data generates system, including learning state data acquisition unit, operation are generated
Model training module, exam pool module, operation generation module, operation distributing device, perform the described specific aim based on big data
Operation generation method；
Learning state data acquisition unit is used to gather student learning status data；
Operation generation model training module is connected with learning state data acquisition unit, for generating operation generation model；
Operation generation module respectively with exam pool module, operation generation model training module, operation distributing device, for generating
Specific aim operation, and be arranged by operation distributing device.
Preferably, operation generation module is also connected with preview and modification device, for the preview of specific aim operation, Yi Jiren
Work is modified to the exercise question that matching is obtained.
Preferably, learning state data acquisition unit includes：
Sight follow-up mechanism, listens to the teacher and sight focus point during operation for obtaining student；
Action recognition device, listens to the teacher and operating state during operation for obtaining student；
Writing recording device, listens to the teacher and writes behavior during operation for recording student；
Speech recognition equipment, listens to the teacher and voice messaging during operation for obtaining student.
Preferably, learning state data acquisition unit is also connected with information collecting device of giving lessons, for gathering awarding for teacher
Class information, including lecture contents, behavior of giving lessons.
Preferably, exam pool module is connected with exercise question collection device, exercise question collection device includes being manually entered mechanism, scanning
One or more of input mechanism, image recognition input mechanism, internet hunt mechanism obtain exercise question, and are stored in exam pool mould
Block.
Beneficial effects of the present invention are as follows：
Specific aim operation generation method and system based on big data of the present invention, based on big data means, passes through
Knowledge structure, study course and state to magnanimity student carry out big data analysis, grasp different type student learning rule,
Student learning history and Thinking Characteristics are directed to according to rule, are the targetedly precisely operation of its arrangement, are aided in which to learn.And lead to
The sample of continuous accumulation is crossed, the specific aim operation of learning state data and generation including continuous collection generates mould to operation
Type is trained renewal, enables operation generation model to follow the real-time level of student to be updated, accurate all the time so as to obtain
Specific aim operation.
The present invention gather student learning status data while, the information of giving lessons of synchronous acquisition teacher, sound of such as giving lessons
Video and writing on the blackboard etc., to know the correspondence of Students ' Learning state and teacher's explanation content, explanation mode, content and details, have
Help help teacher's adjustment teaching method and content.
Description of the drawings
Fig. 1 is the theory diagram of system of the present invention.
Specific embodiment
The present invention is described in further detail below in conjunction with drawings and Examples.
In order to solve in traditional teaching way, classroom work cannot carry out specific aim arrangement for individual students to the present invention,
Cause the deficiency that learning effect has much room for improvement, there is provided a kind of specific aim operation generation method based on big data, and a kind of base
System is generated in the specific aim operation of big data, for the learning characteristic for each individual students, arrangement and each student
The specific aim operation that body is precisely matched, to improve each student learning effect.
Specific aim operation generation method based on big data of the present invention, by arranging operation generation model, collection
Target student learning status data, and target student learning state is identified based on operation generation model, given birth to
Into the constraints of operation, according to the exercise question that constraints selects to match from exam pool, specific aim operation is generated.
In order to realize described operation generating mode, the present invention also provides a kind of specific aim operation based on big data and generates
System, for performing the described specific aim operation generation method based on big data.As shown in figure 1, including learning state data
Harvester, operation generation model training module, exam pool module, operation generation module, operation distributing device.Operation generation model
Training module is connected with learning state data acquisition unit, for generating operation generation model；Operation generation module respectively with topic
Library module, operation generation model training module, operation distributing device, for generating specific aim operation, and issue dress by operation
Put and be arranged.
In order to carry out the cumulative storage of data, learning state memory module is also set up, for storing each student learning
Status information, and call for operation generation model training module.
Operation distributing device can be Set Top Box, mobile phone, pad, email dispensing device, Homepage Publishing device, social software
One or several in information transmitting apparatus.
The present invention is realized based on big data, in order to obtain more accurately operation generation model, then with magnanimity number of students
According to as training sample, i.e. operation generation model with the history learning status data of student, by the side of artificial or machine learning
Formula obtains operation generation model.
In order to improve recognition efficiency, and there is more accurately recognition effect, history learning state of the present invention to student
Data divide different type, and different types of history learning status data correspondence generates an operation generation model.For example by doing
The student that volume is improved the standard belongs to two kinds of contrary types with the student improved the standard by understanding, then arrange different operation lifes
Into model, specific aim operation can be preferably generated.It is for the former, there is provided more exercise question amounts that all kinds difficulty is incremented by, right
Typical representative exercise question is provided then in the latter.
On the basis of the operation generation model that there is number of different types, need first to carry out model selection, then at ordinary times
Gatherer process in, add up target student learning status data, when generating specific aim operation to target student, by target student
All learning state data as input, find the operation generation model matched with target student.Then again with the work of matching
Specific aim operation is generated based on industry generation model.
The present invention provides fault tolerant mechanism, after selecting the exercise question for matching, Jing after manual amendment, regenerates specific aim from exam pool
Operation.After exercise question is selected from exam pool, can be via teacher's preview and modification, then again using amended exercise question as specific aim
Operation is supplied to student.And this fault tolerant mechanism can be also used for improving operation generation model, the more essence of operation generation model
Accuracy is higher.The manual amendment of the specific aim operation for generating is used with the history learning status data of student jointly as sample
In more new job generation model, operation generation model is made to remain at last state, the matching degree of the state current with student
Highest.
Correspondence operation fault tolerant mechanism, operation generation module are also connected with preview and modification device, for the pre- of specific aim operation
Look at, and manually the exercise question that matching is obtained is modified.Operation generation module has been matched after exercise question from exam pool module, is paid
Preview and modification device, teacher can carry out manual amendment to the specific aim operation that will be generated with modification device by preview, then
It is arranged by operation distributing device；It is of course also possible to without manual amendment, directly be arranged.All modifications behavior also will
The training sample of operation generation model is stored in, for renewal and the acquisition of operation generation model.
Classroom learning can be probably summarized as to practise with operation to student learning state, accordingly, learning state packet
Include classroom behavior data and operation behaviour data.In the present embodiment, the focusing of sight when classroom behavior data include that student listens to the teacher
Point, operating state, write behavior, voice messaging；Operation behaviour data include the focus point of sight during students' work, action shape
State, write behavior, voice messaging, the content write and the sequential write.
In described system, learning state data acquisition unit is used to gather student learning status data, including：
Sight follow-up mechanism, listens to the teacher and sight focus point during operation for obtaining student；
Action recognition device, listens to the teacher and operating state during operation for obtaining student；
Writing recording device, can adopt ultrasonic measurement pen or laser measuring pen, listen to the teacher and operation for recording student
When write behavior, the content write and the sequential write；
Speech recognition equipment, listens to the teacher and voice messaging during operation for obtaining student.
In view of student learning state mainly by the focus showed in classroom and operation process, and from mesh
Whether light can be concentrated in teacher or operation, during whether there are meaningless action behavior or non-question and answer language hand over
Stream, writing style or writes behavior with the presence or absence of incoherent content, judges whether absent minded, ignores study.
The present invention is provided also for teacher and is improved mechanism, for the behavior of giving lessons of teacher, in the classroom behavior of collection student
During data, give lessons audio frequency and video and the writing on the blackboard of the information of giving lessons of synchronous acquisition teacher, such as teacher, explanation content, explanation mode with it is thin
Section etc..Correspondence teacher improves mechanism, and learning state data acquisition unit is also connected with information collecting device of giving lessons, including audio frequency and video are adopted
Collecting mechanism, writing on the blackboard recording mechanism, for gathering the information of giving lessons of teacher, including lecture contents, behavior of giving lessons.By classroom behavior number
According to being associated with the information of giving lessons, classroom behavior and lecture contents, the correspondence given lessons between behavior of student are obtained.If religion
Some of the teacher information of giving lessons is summarised out the learning state poor with student and forms corresponding, then can remind teacher's adjustment side of giving lessons
Formula, and being circulated with this, gives lessons mode until finding learning state highest.
In the system, the exercise question in exam pool module is collected by exercise question collection device, and is stored in question bank model,
Form exam pool.Exam pool module is connected with exercise question collection device, and exercise question collection device includes being manually entered mechanism, scanning input machine
One or more of structure, image recognition input mechanism, internet hunt mechanism obtain exercise question, and are stored in exam pool module.Exercise question
Collection device can assist teacher to carry out exercise question collection, and the exercise question after collection carries out secret storage (for personal according to the selection of teacher
Using) or shared storage (selecting for other teachers).
Above-described embodiment is intended merely to the explanation present invention, and is not used as limitation of the invention.As long as according to this
Bright technical spirit, is changed to above-described embodiment, modification etc. will all fall in the range of the claim of the present invention.
Claims (14)
1. a kind of specific aim operation generation method based on big data, it is characterised in that arrange operation generation model, gathers target
Student learning status data, is identified to target student learning state based on operation generation model, obtains generating operation
Constraints, according to constraints select from exam pool match exercise question, generate specific aim operation.
2. the specific aim operation generation method based on big data according to claim 1, it is characterised in that operation generates mould
Type obtains operation generation model by way of artificial or machine learning with the history learning status data of student.
3. the specific aim operation generation method based on big data according to claim 2, it is characterised in that student is gone through
Historiography is practised status data and divides different type, and different types of history learning status data correspondence generates an operation and generates mould
Type.
4. the specific aim operation generation method based on big data according to claim 3, it is characterised in that collect target
Raw learning state data, to target student generate specific aim operation when, using all learning state data of target student as
Input, finds the operation generation model matched with target student.
5. the specific aim operation generation method based on big data according to claim 2, it is characterised in that select from exam pool
After selecting the exercise question of matching, Jing after manual amendment, specific aim operation is regenerated.
6. the specific aim operation generation method based on big data according to claim 5, it is characterised in that generation is directed to
The manual amendment of property operation is provided commonly for more new job generation model with the history learning status data of student as sample.
7. the specific aim operation generation method based on big data according to any one of claim 1 to 6, it is characterised in that
Learning state data include classroom behavior data and operation behaviour data.
8. the specific aim operation generation method based on big data according to claim 7, it is characterised in that collection classroom row
For data when, classroom behavior data and the information of giving lessons are associated, obtain the class of student by the information of giving lessons of synchronous acquisition teacher
Hall behavior and lecture contents, the correspondence given lessons between behavior.
9. the specific aim operation generation method based on big data according to claim 7, it is characterised in that classroom behavior number
According to the focus point of sight, operating state when listening to the teacher including student, write behavior, voice messaging；Operation behaviour data include student
The focus point of sight, operating state during operation, write behavior, voice messaging, the content write and the sequential write.
10. a kind of specific aim operation based on big data generates system, it is characterised in that fill including learning state data acquisition
Put, operation generation model training module, exam pool module, operation generation module, operation distributing device, perform claim require 1 to 9
The specific aim operation generation method based on big data described in one；
Learning state data acquisition unit is used to gather student learning status data；
Operation generation model training module is connected with learning state data acquisition unit, for generating operation generation model；
Operation generation module respectively with exam pool module, operation generation model training module, operation distributing device, for generate be directed to
Property operation, and be arranged by operation distributing device.
The 11. specific aim operations based on big data according to claim 10 generate system, it is characterised in that operation is generated
Module is also connected with preview and modification device, for the preview of specific aim operation, and manually the exercise question that matching is obtained is repaiied
Change.
The 12. specific aim operations based on big data according to claim 10 generate system, it is characterised in that learning state
Data acquisition unit includes：
Sight follow-up mechanism, listens to the teacher and sight focus point during operation for obtaining student；
Action recognition device, listens to the teacher and operating state during operation for obtaining student；
Writing recording device, listens to the teacher and writes behavior during operation for recording student；
Speech recognition equipment, listens to the teacher and voice messaging during operation for obtaining student.
The 13. specific aim operations based on big data according to claim 10 generate system, it is characterised in that learning state
Data acquisition unit is also connected with information collecting device of giving lessons, for gathering the information of giving lessons of teacher, including lecture contents, row of giving lessons
For.
The 14. specific aim operations based on big data according to claim 10 generate system, it is characterised in that exam pool module
It is connected with exercise question collection device, exercise question collection device includes being manually entered mechanism, scanning input mechanism, image recognition input machine
One or more of structure, internet hunt mechanism obtain exercise question, and are stored in exam pool module.
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| CN107154191A (en) * | 2017-07-23 | 2017-09-12 | 肇庆高新区长光智能技术开发有限公司 | Exercise generation method, device, server and system |
| CN107392809A (en) * | 2017-08-25 | 2017-11-24 | 宁波灵云科技信息服务有限公司 | The students' work distribution system and method for teaching |
| CN107742266A (en) * | 2017-11-02 | 2018-02-27 | 北京善学云科技有限公司 | A kind of tutoring system based on augmented reality |
| CN108090857A (en) * | 2017-12-29 | 2018-05-29 | 复旦大学 | A kind of multi-modal student classroom behavior analysis system and method |
| CN109993311A (en) * | 2017-12-28 | 2019-07-09 | 重庆南华中天信息技术有限公司 | The analysis method of knowledge learning |
| CN110659847A (en) * | 2019-10-24 | 2020-01-07 | 武汉乐知加教育科技有限公司 | Paper personalized homework arrangement and reading system |
| CN112085630A (en) * | 2020-08-31 | 2020-12-15 | 上海松鼠课堂人工智能科技有限公司 | Intelligent adaptive operation system suitable for OMO learning scene |
| CN112598551A (en) * | 2020-12-24 | 2021-04-02 | 北京市商汤科技开发有限公司 | Behavior guidance scheme generation method and device, computer equipment and storage medium |
| CN113205435A (en) * | 2021-05-07 | 2021-08-03 | 广州宏途教育网络科技有限公司 | Student's homework distribution system of teaching usefulness |
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| CN112598551A (en) * | 2020-12-24 | 2021-04-02 | 北京市商汤科技开发有限公司 | Behavior guidance scheme generation method and device, computer equipment and storage medium |
| CN113205435A (en) * | 2021-05-07 | 2021-08-03 | 广州宏途教育网络科技有限公司 | Student's homework distribution system of teaching usefulness |
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