CN109446213A - A kind of learning materials intelligently pushing method and device - Google Patents

A kind of learning materials intelligently pushing method and device Download PDF

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Publication number
CN109446213A
CN109446213A CN201811201640.3A CN201811201640A CN109446213A CN 109446213 A CN109446213 A CN 109446213A CN 201811201640 A CN201811201640 A CN 201811201640A CN 109446213 A CN109446213 A CN 109446213A
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China
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learning
data
materials
terminal
current
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CN201811201640.3A
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李健
李鸿钊
张洪亮
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Sichuan Student Education Technology Co Ltd
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Sichuan Student Education Technology Co Ltd
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Priority to CN201811201640.3A priority Critical patent/CN109446213A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance

Abstract

The invention discloses a kind of learning materials intelligently pushing method and devices, which comprises education server is stored respectively in the database for the machine learning model being pre-created after being associated the learning data that learning terminal is sent every time and examination data;Big data technology continual analysis learning data corresponding with the learning terminal and examination data are utilized in the machine learning model, and are constructed the current learning states image of the student bound with the learning terminal in conjunction with the education rhythm updated in the database of the machine learning model and social current events and obtained current learning states analysis result;Result, which is analyzed, according to the current learning states searches matched learning materials in the learning materials library prestored, calculate the matching factor of the learning materials, and the learning materials and corresponding matching factor are pushed to the learning terminal together, it can be improved efficiency and accuracy that student chooses matched learning materials in the learning materials of magnanimity.

Description

A kind of learning materials intelligently pushing method and device
Technical field
The invention belongs to internet intelligent field of Educational Technology more particularly to a kind of learning materials intelligently pushing method and dresses It sets.
Background technique
With the development of internet science and technology, the epoch of wisdom education have arrived, and can effectively improve quality of instruction.So And information explosion formula increase educational environment under, learning materials also become more and more huger, how magnanimity learning materials In choose matched learning materials and become more and more difficult.
In addition, existing education assessment uses conventional methods mostly, i.e. educator by arranging teaching work to student, The case where completing teaching work according to student is analyzed, and the study situation of student is understood, then according to the study situation of student The content of courses and the corresponding learning materials of push are adjusted, the subjectivity of this mode is too strong, is overly dependent upon the warp of educator Test level and the degree of concern to student, therefore it is difficult to ensure that evaluating result and learning materials push accuracy and objectivity, The reference value on teaching significance can not be provided to the subsequent study of student.
Summary of the invention
In view of this, the embodiment of the present invention is designed to provide a kind of learning materials intelligently pushing method and device, purport Improve student chosen in the learning materials of magnanimity matched learning materials efficiency and accuracy and for student it is subsequent Study provide teaching significance on reference value.
The technical solution adopted by the invention is as follows:
In a first aspect, a kind of learning materials intelligently pushing method provided in an embodiment of the present invention, is applied to learning materials intelligence Energy driving means, the learning materials intelligently pushing device includes education server and multiple learning terminals, wherein each study Terminal and the education server communicate to connect, and the learning materials intelligently pushing method includes:
The education server receives the study with the student of learning terminal binding that the learning terminal is repeatedly sent Data and examination data;
Preparatory wound is stored respectively in after learning data and examination data that the learning terminal is sent every time are associated In the database for the machine learning model built;
Big data technology continual analysis study number corresponding with the learning terminal is utilized in the machine learning model According to and examination data, and in conjunction with the education rhythm that is updated in the database of the machine learning model and social current events building and should Learning terminal binding student current learning states image and obtain current learning states analysis result;
Result is analyzed according to the current learning states and searches matched learning materials in the learning materials library prestored, is counted The matching factor of the learning materials is calculated, and the learning materials and corresponding matching factor are pushed to the study eventually together End.
Further, the learning state image includes knowledge mapping image and learning ability power image.
Further, the education rhythm and social current events structure updated in the database of machine learning model described in the combination The step of building the current learning states image of the student bound with the learning terminal and obtaining current learning states analysis result In, the learning materials intelligently pushing method specifically includes:
The education server is the learning data received and examination data distribution memory fact sequentially in time;
The current learning states image of the student bound with the learning terminal is constructed according to the memory fact and is obtained Current learning states analyze result.
Further, after the learning data that the learning terminal is sent every time and examination data are associated respectively It is stored in front of the step in the database for the machine learning model being pre-created, the learning materials intelligently pushing method is also wrapped It includes:
The learning data and the examination data that receive are pre-processed respectively, wherein the pretreatment packet Include Uniform data format and filtering interference data.
Second aspect, a kind of learning materials intelligently pushing device provided in an embodiment of the present invention, including education server and Multiple learning terminals, wherein each learning terminal and the education server communicate to connect, and the education server includes:
Receiving module, the study number with the student of learning terminal binding repeatedly sent for receiving the learning terminal According to and examination data;
Memory module, learning data and examination data for sending the learning terminal every time are distinguished after being associated It is stored in the database for the machine learning model being pre-created;
Analysis building module, for utilizing big data technology continual analysis and the study in the machine learning model The corresponding learning data of terminal and examination data, and in conjunction with the education rhythm that is updated in the database of the machine learning model and Social current events construct the current learning states image of the student bound with the learning terminal and obtain current learning states analysis As a result;
Searching module searches matching for analyzing result according to the current learning states in the learning materials library prestored Learning materials, calculate the matching factor of the learning materials;
Pushing module, for the learning materials and corresponding matching factor to be pushed to the learning terminal together.
Further, the learning state image includes knowledge mapping image and learning ability power image.
Further, the analysis building module includes allocation unit and construction unit, in which:
The allocation unit, the learning data received for sequentially in time and examination data distribution memory because Son;
The construction unit, for the current study according to memory fact building and the student of learning terminal binding Status image and obtain current learning states analysis result.
Further, the learning materials intelligently pushing device further include:
Preprocessing module, for being pre-processed respectively to the learning data and the examination data that receive, In, the pretreatment includes Uniform data format and filtering interference data.
In conclusion the present invention is received by education server and send learning terminal every time ties up with the learning terminal The learning data and examination data of fixed student is stored respectively in the data for the machine learning model being pre-created after being associated In library, in the machine learning model using big data technology continual analysis learning data corresponding with the learning terminal and Examination data, and in conjunction with the education rhythm updated in the database of the machine learning model and social current events building and the study Terminal binding student current learning states image and obtain current learning states analyze as a result, according to the current study State analysis result searches matched learning materials in the learning materials library prestored, calculates the matching system of the learning materials Number, and the learning materials and corresponding matching factor are pushed to the learning terminal together, exist so as to improve student Chosen in the learning materials of magnanimity matched learning materials efficiency and accuracy and for student it is subsequent study religion is provided Learn the reference value in meaning.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment Attached drawing is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as Restriction to range for those of ordinary skill in the art without creative efforts, can also basis These attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of application scenarios schematic diagram of learning materials intelligently pushing device provided in an embodiment of the present invention.
Fig. 2 shows a kind of flow diagrams of learning materials intelligently pushing method provided in an embodiment of the present invention.
Fig. 3 shows a kind of functional block diagram of education server provided in an embodiment of the present invention.
Main element symbol description:
Learning materials intelligently pushing device 10;Education server 100;Learning terminal 200;Receiving module 101;
Memory module 102;Analysis building module 103;Searching module 104;Pushing module 105;
Preprocessing module 106;Allocation unit 1031;Construction unit 1032.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
With the development of internet science and technology, the epoch of wisdom education have arrived, and can effectively improve quality of instruction.So And information explosion formula increase educational environment under, learning materials also become more and more huger, how magnanimity learning materials In choose matched learning materials and become more and more difficult.In addition, existing education assessment uses conventional methods mostly, i.e., The case where educator to student by arranging teaching work, completing teaching work according to student is analyzed, and student is understood Situation is practised, the content of courses and the corresponding learning materials of push, the master of this mode are then adjusted according to the study situation of student The property seen is too strong, is overly dependent upon the experience level of educator and the degree of concern to student, therefore it is difficult to ensure that evaluating result and The accuracy and objectivity of learning materials push can not provide the reference value on teaching significance to the subsequent study of student.
In view of this, the embodiment of the present invention is designed to provide a kind of learning materials intelligently pushing method and device, purport Improve student chosen in the learning materials of magnanimity matched learning materials efficiency and accuracy and for student it is subsequent Study provide teaching significance on reference value.
As shown in Figure 1, being that the application scenarios of learning materials intelligently pushing device 10 provided in an embodiment of the present invention a kind of show It is intended to.Wherein, the learning materials intelligently pushing device 10 may include education server 100 and learning terminal 200.This implementation In example, the learning terminal 200 be it is multiple, each learning terminal 200 passes through network and 100 communication link of education server It connects, to carry out data access or Signalling exchange etc..Preferably, the education server 100 can be network server, database Server etc..The learning terminal 200 can be PC (personal computer, PC), tablet computer, intelligent hand Machine, personal digital assistant (personal digital assistant, PDA) etc..
Embodiment 1
As shown in Fig. 2, being a kind of flow diagram of learning materials intelligently pushing method provided in an embodiment of the present invention.Its In, the learning materials intelligently pushing method is applied in the learning materials intelligently pushing device 10.The learning materials intelligence Energy driving means 10 may comprise steps of:
Step S101: education server 100 receives tying up with the learning terminal 200 for the learning terminal more than 200 times transmissions The learning data and examination data of fixed student.
In the present embodiment, the learning terminal 200 is bound in advance at least one student.Preferably, the study Terminal 200 is bound by the identification card number of student, student number or exam number etc. with student.The education server 100 Repeatedly receive the learning terminal 200 study with the student of the learning terminal 200 binding that node is sent in different times Data and examination data etc..
Step S102: after learning data and examination data that the learning terminal 200 is sent every time are associated respectively It is stored in the database for the machine learning model being pre-created.
Wherein, machine learning model has been pre-created in the education server 100, and the machine learning model supports machine Learning art.In the present embodiment, learning data that the education server 100 first sends the learning terminal 200 every time It is associated with examination data, is respectively formed watch chain.Each watch chain is stored respectively in the machine learning model being pre-created again Database in, analyzed so as to subsequent.
Before step S102, the learning materials intelligently pushing method further include: to the learning data received It is pre-processed respectively with the examination data.Wherein, the pretreatment includes Uniform data format and filtering interference data.
Step S103: big data technology continual analysis and the learning terminal 200 are utilized in the machine learning model Corresponding learning data and examination data, and in conjunction with the education rhythm and society updated in the database of the machine learning model Current events construct the current learning states image of the student bound with the learning terminal 200 and obtain current learning states analysis and tie Fruit.
Wherein, the learning state image may include knowledge mapping image and learning ability power image.Preferably, institute Knowledge mapping image is stated in a net distribution.It is indicated in the learning ability power image with color and gradation of color The bull bear position of learning ability.
In the present embodiment, the education server 100 utilizes corresponding with the learning terminal 200 of big data technology pair It practises data and examination data carries out continual analysis, in combination with the education rhythm updated in the database of the machine learning model The current learning states image of the student bound with the learning terminal 200 is constructed with social current events and obtains current learning states Analyze result.
Optionally, the education server 100 periodic monitoring education rhythm and social current events on specific website, work as monitoring When changing to education rhythm and social current events, the education rhythm and society's current events of change are downloaded, and in more new database Educate rhythm and social current events.
In addition, the education rhythm that is updated in the database of machine learning model described in the combination and social current events building with The learning terminal 200 binding student current learning states image and obtain current learning states analysis result the step of In, the learning materials intelligently pushing method specifically includes: the education server 100 to receive sequentially in time It practises data and examination data distributes memory fact;According to memory fact building with the student's of the learning terminal 200 binding Current learning states image and obtain current learning states analysis result.When implementation, the time more forward study number received According to and examination data, the education server 100 for its distribution memory fact it is smaller.
Step S104: result is analyzed according to the current learning states and searches matched in the learning materials library prestored Habit data calculates the matching factor of the learning materials, and the learning materials and corresponding matching factor is pushed to together The learning terminal 200.
Wherein, the learning materials are more matched with the current learning states of student analysis result, then and calculated Distribution coefficient is bigger.In the present embodiment, by above step can be improved student chosen in the learning materials of magnanimity it is matched The efficiency and accuracy of learning materials and reference value on teaching significance is provided for the subsequent study of student.
Embodiment 2
As shown in figure 3, being a kind of functional block diagram of education server 100 provided in an embodiment of the present invention.Wherein, institute Stating education server 100 may include receiving module 101, memory module 102, analysis building module 103, searching module 104, pushes away Send module 105 and preprocessing module 106 etc..Above functions module will be described in detail below.
Wherein, the receiving module 101 be used for receive the learning terminal more than 200 times transmission with the learning terminal 200 The learning data and examination data of the student of binding.
In the present embodiment, the learning terminal 200 is bound in advance at least one student.Preferably, the study Terminal 200 is bound by the identification card number of student, student number or exam number etc. with student.The receiving module more than 101 It is secondary to receive the learning terminal 200 study number with the student of the learning terminal 200 binding that node is sent in different times According to examination data etc..
The learning data and examination data that the memory module 102 is used to every time send the learning terminal 200 carry out It is stored respectively in after association in the database for the machine learning model being pre-created.
Wherein, the machine learning model supports machine learning techniques.In the present embodiment, the memory module 102 is first Learning data and examination data that the learning terminal 200 is sent every time are associated, watch chain is respectively formed.Again by each table Chain is stored respectively in the database for the machine learning model being pre-created, and is analyzed so as to subsequent.
Further, before executing the memory module 102, the preprocessing module 106 is used for the institute received It states learning data and the examination data is pre-processed respectively.Wherein, the pretreatment includes Uniform data format and filtering Interfere data.
The analysis building module 103 is used to utilize big data technology continual analysis and institute in the machine learning model State the corresponding learning data of learning terminal 200 and examination data, and in conjunction with updating in the database of the machine learning model Education rhythm and social current events construct the current learning states image of the student bound with the learning terminal 200 and obtain current Learning state analyzes result.
Wherein, the learning state image may include knowledge mapping image and learning ability power image.Preferably, institute Knowledge mapping image is stated in a net distribution.It is indicated in the learning ability power image with color and gradation of color The bull bear position of learning ability.
In the present embodiment, the analysis building module 103 is corresponding with the learning terminal 200 using big data technology pair Learning data and examination data carry out continual analysis, in combination with the education section updated in the database of the machine learning model It plays and social current events constructs the current learning states image of the student bound with the learning terminal 200 and obtain currently learning shape State analyzes result.
Optionally, the analysis building module 103 periodic monitoring education rhythm and social current events on specific website, work as prison Measure education rhythm and when social current events change, download change education rhythm and social current events, and in more new database Education rhythm and social current events.
In addition, the analysis building module 103 specifically includes allocation unit 1031 and construction unit in the present embodiment 1032.Wherein, the learning data and examination data distribution note that the allocation unit 1031 is received for sequentially in time Recall the factor.The student's that the construction unit 1032 is used to be bound according to memory fact building with the learning terminal 200 works as Preceding learning state image and obtain current learning states analysis result.When implementation, the time more forward learning data received And examination data, the allocation unit 1031 are smaller for the memory fact of its distribution.
The searching unit is used to analyze result according to the current learning states and search in the learning materials library prestored Matched learning materials calculate the matching factor of the learning materials.Wherein, current of the learning materials and the student It practises state analysis result more to match, then calculated matching factor is bigger.
The push unit is used to the learning materials and corresponding matching factor being pushed to the learning terminal together 200。
In the present embodiment, student can be improved in the learning materials of magnanimity by the combination of above functions module and choose The efficiency and accuracy of matched learning materials and reference value on teaching significance is provided for the subsequent study of student.
In conclusion the present invention by education server 100 receive and learning terminal 200 is sent every time with the study The learning data and examination data for the student that terminal 200 is bound are stored respectively in the machine learning mould being pre-created after being associated It is corresponding with the learning terminal 200 using big data technology continual analysis in the machine learning model in the database of type Learning data and examination data, and in conjunction with the education rhythm that is updated in the database of the machine learning model and social current events Building with the learning terminal 200 binding student current learning states image and obtain current learning states analysis as a result, Result is analyzed according to the current learning states and searches matched learning materials in the learning materials library prestored, calculates The matching factor of habit data, and the learning materials and corresponding matching factor are pushed to the learning terminal 200 together, from And it can be improved efficiency and accuracy and for student that student chooses matched learning materials in the learning materials of magnanimity Subsequent study provides the reference value on teaching significance.
In embodiment provided herein, it should be understood that disclosed device and method, it can also be by other Mode realize.The apparatus embodiments described above are merely exemplary, for example, the flow chart and block diagram in attached drawing are shown Device, the architectural framework in the cards of method and computer program product, function of multiple embodiments according to the present invention And operation.In this regard, each box in flowchart or block diagram can represent one of a module, section or code Point, a part of the module, section or code includes one or more for implementing the specified logical function executable Instruction.It should also be noted that function marked in the box can also be attached to be different from some implementations as replacement The sequence marked in figure occurs.For example, two continuous boxes can actually be basically executed in parallel, they sometimes may be used To execute in the opposite order, this depends on the function involved.It is also noted that each of block diagram and or flow chart The combination of box in box and block diagram and or flow chart can be based on the defined function of execution or the dedicated of movement The system of hardware is realized, or can be realized using a combination of dedicated hardware and computer instructions.In addition, each in the present invention Each functional module in embodiment can integrate one independent part of formation together, is also possible to modules and individually deposits An independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention. And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.It needs Illustrate, herein, relational terms such as first and second and the like be used merely to by an entity or operation with Another entity or operation distinguish, and without necessarily requiring or implying between these entities or operation, there are any this realities The relationship or sequence on border.Moreover, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device. In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element Process, method, article or equipment in there is also other identical elements.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing It is further defined and explained.

Claims (8)

1. a kind of learning materials intelligently pushing method, is applied to learning materials intelligently pushing device, the learning materials are intelligently pushed away Sending device includes education server and multiple learning terminals, wherein and each learning terminal and the education server communicate to connect, It is characterized in that, the learning materials intelligently pushing method includes:
The education server receives the learning data with the student of learning terminal binding that the learning terminal is repeatedly sent And examination data;
It is stored respectively in after learning data and examination data that the learning terminal is sent every time are associated and to be pre-created In the database of machine learning model;
In the machine learning model using big data technology continual analysis learning data corresponding with the learning terminal and Examination data, and in conjunction with the education rhythm updated in the database of the machine learning model and social current events building and the study Terminal binding student current learning states image and obtain current learning states analysis result;
Result is analyzed according to the current learning states and searches matched learning materials in the learning materials library prestored, calculates institute The matching factor of learning materials is stated, and the learning materials and corresponding matching factor are pushed to the learning terminal together.
2. learning materials intelligently pushing method according to claim 1, which is characterized in that the learning state image includes Knowledge mapping image and learning ability power image.
3. learning materials intelligently pushing method according to claim 1, which is characterized in that machine learning described in the combination The current study shape of the education rhythm and social current events building and the student of learning terminal binding that are updated in the database of model State image and obtain current learning states analysis result the step of in, the learning materials intelligently pushing method specifically includes:
The education server is the learning data received and examination data distribution memory fact sequentially in time;
According to the current learning states image of the student of memory fact building and learning terminal binding and obtain current Learning state analyzes result.
4. learning materials intelligently pushing method according to claim 1, which is characterized in that described that the learning terminal is every The learning data and examination data of secondary transmission are stored respectively in the database for the machine learning model being pre-created after being associated In step before, the learning materials intelligently pushing method further include:
The learning data and the examination data that receive are pre-processed respectively, wherein the pretreatment includes system One data format and filtering interference data.
5. a kind of learning materials intelligently pushing device, including education server and multiple learning terminals, wherein each learning terminal It is communicated to connect with the education server, which is characterized in that the education server includes:
Receiving module, for receive it is that the learning terminal repeatedly sends with the student of learning terminal binding learning data and Examination data;
Memory module, learning data and examination data for sending the learning terminal every time store respectively after being associated In the database for the machine learning model being pre-created;
Analysis building module, for utilizing big data technology continual analysis and the learning terminal in the machine learning model Corresponding learning data and examination data, and in conjunction with the education rhythm and society updated in the database of the machine learning model Current events construct the current learning states image of the student bound with the learning terminal and obtain current learning states analysis result;
Searching module searches matched in the learning materials library prestored for analyzing result according to the current learning states Habit data calculates the matching factor of the learning materials;
Pushing module, for the learning materials and corresponding matching factor to be pushed to the learning terminal together.
6. learning materials intelligently pushing device according to claim 5, which is characterized in that the learning state image includes Knowledge mapping image and learning ability power image.
7. learning materials intelligently pushing device according to claim 5, which is characterized in that the analysis constructs module and includes Allocation unit and construction unit, in which:
The allocation unit, the learning data received for sequentially in time and examination data distribute memory fact;
The construction unit, for the current learning states according to memory fact building and the student of learning terminal binding Image and obtain current learning states analysis result.
8. learning materials intelligently pushing device according to claim 5, which is characterized in that the learning materials intelligently pushing Device further include:
Preprocessing module, for being pre-processed respectively to the learning data and the examination data that receive, wherein institute Stating pretreatment includes Uniform data format and filtering interference data.
CN201811201640.3A 2018-10-16 2018-10-16 A kind of learning materials intelligently pushing method and device Pending CN109446213A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109948058A (en) * 2019-03-22 2019-06-28 上海乂学教育科技有限公司 Adaptive learning method and computer system based on student ability horizontal location
CN111667310A (en) * 2020-06-04 2020-09-15 上海燕汐软件信息科技有限公司 Data processing method, device and equipment for salesperson learning
CN112435515A (en) * 2020-11-26 2021-03-02 江西台德智慧科技有限公司 Artificial intelligence education robot

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679397A (en) * 2013-12-31 2014-03-26 苏州市职业大学 Learning content recommendation method based on smart mobile phone
CN105117460A (en) * 2015-08-21 2015-12-02 湖南亿谷科技发展股份有限公司 Learning resource recommendation method and system
CN106384319A (en) * 2016-09-20 2017-02-08 四川教云网络科技有限公司 Teaching resource personalized recommending method based on forgetting curve

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679397A (en) * 2013-12-31 2014-03-26 苏州市职业大学 Learning content recommendation method based on smart mobile phone
CN105117460A (en) * 2015-08-21 2015-12-02 湖南亿谷科技发展股份有限公司 Learning resource recommendation method and system
CN106384319A (en) * 2016-09-20 2017-02-08 四川教云网络科技有限公司 Teaching resource personalized recommending method based on forgetting curve

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
方鸿志等: "《高校思想政治理论课教学管理创新研究——基于辽宁省思想政治理论课的实践探索》", 31 May 2013, 辽宁大学出版社 *
曹俊军: "《课程与教学论》", 28 February 2018, 西安交通大学出版社 *
金震宇等: "《互联网+政务服务的当下探索》", 31 January 2017, 科学技术文献出版社 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109948058A (en) * 2019-03-22 2019-06-28 上海乂学教育科技有限公司 Adaptive learning method and computer system based on student ability horizontal location
CN111667310A (en) * 2020-06-04 2020-09-15 上海燕汐软件信息科技有限公司 Data processing method, device and equipment for salesperson learning
CN111667310B (en) * 2020-06-04 2024-02-20 上海燕汐软件信息科技有限公司 Data processing method, device and equipment for salesperson learning
CN112435515A (en) * 2020-11-26 2021-03-02 江西台德智慧科技有限公司 Artificial intelligence education robot
CN112435515B (en) * 2020-11-26 2022-08-19 江西台德智慧科技有限公司 Artificial intelligence education robot

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