CN112347354B - Courseware management method for intelligent education - Google Patents
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- CN112347354B CN112347354B CN202011242040.9A CN202011242040A CN112347354B CN 112347354 B CN112347354 B CN 112347354B CN 202011242040 A CN202011242040 A CN 202011242040A CN 112347354 B CN112347354 B CN 112347354B
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- 238000007726 management method Methods 0.000 title claims abstract description 9
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- 239000013598 vector Substances 0.000 claims description 12
- 230000014509 gene expression Effects 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
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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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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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
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to the field of big data and intelligent education, and discloses a courseware management method for intelligent education, which comprises the following steps: and the education cloud platform receives courseware request data sent by the first education terminal, wherein the courseware request data comprises courseware content, courseware basic information, courseware labels and target education consumer information. And the courseware recommending module of the education cloud platform generates a first data stream according to the courseware request data. And the courseware recommendation module analyzes and obtains the courseware adaptation degree of the educational consumer according to the first data stream and the information of the educational consumer. And when the courseware adaptation degree is greater than the courseware learning degree, the courseware pushing module processes the courseware request data and the education consumer information to obtain a second data stream and sends the second data stream to the corresponding second education terminal. And the courseware analysis module acquires courseware learning information of educational consumers to obtain a courseware learning dictionary, and analyzes the courseware learning dictionary to obtain courseware analysis data.
Description
Technical Field
The invention relates to the field of big data and intelligent education, in particular to a courseware management method for intelligent education.
Background
With the development of the internet, network education is widely applied, and digital teaching resources related to the network education are more and more. The digital teaching resource is beneficial to students to better understand teaching contents and improves teaching effects. However, as digital teaching resources increase, so does the difficulty of students in finding matching or appropriate courseware.
The traditional courseware searching mode searches according to courseware names, and the searched courseware content is often different from the courseware content wanted by the user, so that the courseware required to be used is not easy to quickly and accurately find.
In addition, in the current field of network multimedia teaching, homogenized teaching contents are provided for all users in a network learning system in a conventional portal mode. This approach does not serve the personalization, differential learning requirements of heavy users in the current increasingly changing network teaching market well. Therefore, it is necessary to achieve accurate recommendation of educational courseware.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a courseware management method for intelligent education, which comprises the following steps:
and the education cloud platform receives courseware request data sent by the first education terminal, wherein the courseware request data comprises courseware content, courseware basic information, courseware labels and target education consumer information.
And generating a first data stream by a courseware recommending module of the education cloud platform according to the courseware request data, wherein the first data stream comprises courseware labels, courseware basic information and target education consumer information.
And the courseware recommendation module analyzes and obtains the courseware adaptation degree of the educational consumer according to the first data stream and the information of the educational consumer.
And when the courseware adaptation degree is greater than the courseware learning degree, the courseware pushing module processes the courseware request data and the education consumer information to obtain a second data stream and sends the second data stream to the corresponding second education terminal. The second data stream includes courseware content and a device identifier of a second educational terminal.
And the courseware analysis module acquires courseware learning information of educational consumers to obtain a courseware learning dictionary, and analyzes the courseware learning dictionary to obtain courseware analysis data.
In a further embodiment, the first education terminal is a terminal device of an education provider, and the first education terminal includes a smart phone, a tablet computer and a notebook computer;
the second education terminal is terminal equipment for education consumers, and comprises a smart phone, a desktop computer, a tablet computer, a notebook computer and a smart watch.
In a further embodiment, the educational consumer information includes a name, gender, age, school, interests, historical learning data, and a device identifier of a second educational terminal corresponding to the educational consumer.
In a further embodiment, a courseware recommendation module of the education cloud platform obtains a courseware recommendation dictionary according to the first data stream, wherein the courseware recommendation dictionary comprises an identifier of each courseware recommendation index and a courseware recommendation vector P corresponding to each courseware recommendation index.
The courseware recommendation module obtains an educational consumer dictionary according to the educational consumer information, wherein the educational consumer dictionary comprises identifiers of each courseware recommendation index and educational consumer vectors Q corresponding to each courseware recommendation index.
The courseware recommendation index comprises: age, interest, school.
In a further embodiment, the courseware recommendation module is configured to calculate a courseware recommendation vector p= [ P ] 1 ,p 2 …p n ]And educational consumer vector q= [ Q ] 1 ,q 2 ,…q n ]Calculating the adaptation degree h of each courseware recommendation index,
wherein ,
i is a feature index, n is the feature number of recommended indexes of each courseware, q i Educational consumer characteristic value, p, for ith characteristic of corresponding courseware recommendation index i And recommending characteristic values for courseware of the ith characteristic corresponding to the courseware recommendation index.
In a further embodiment, the courseware recommendation module calculates the courseware fitness r according to the fitness corresponding to all courseware recommendation indexes,
wherein j is a courseware recommendation index, m is the number of courseware recommendation indexes, e is a natural base number, and h j The adaptation degree s corresponding to the index recommended for the jth courseware j And recommending the weight coefficient corresponding to the index for the jth courseware.
In a further embodiment, the targeted educational consumer is a targeted audience for courseware; the targeted educational consumer information includes the age, school, and interests of the targeted educational consumer.
The courseware learning dictionary includes a device identifier of the second educational terminal and courseware learning information corresponding to the educational consumer.
In a further embodiment, the courseware analysis data includes courseware push success rate, number of courseware viewing users, number of courseware playing, and courseware consumer feature dictionary.
In a further embodiment, the courseware basic information includes courseware type, courseware expression form, and courseware format.
The courseware types include: the system comprises a webpage text class, a multimedia class and an interaction class, wherein the webpage text class courseware is a courseware in a text form developed by a webpage making tool; the multimedia courseware is a courseware in a multimedia form which is embodied in a video, audio and animation mode; the interactive class courseware is a courseware that interacts with educational consumers through remote or local applications.
In further embodiments, the courseware expressions include text, images, audio, video, and animation. The courseware label comprises a subject to which the courseware belongs, a courseware title and a courseware knowledge point.
The courseware format includes JPG, GIF, WAV, MIDI, MP, WMA, FLASH, AVI, ASF and Quick Time.
According to the courseware recommendation method and the device, the courseware adaptation degree is calculated according to courseware request data sent by the first education terminal and education consumer information sent by the second education terminal, and courseware is pushed to education consumers with the courseware adaptation degree being greater than the courseware learning degree, so that accurate recommendation of courseware is achieved, and efficiency of courseware recommendation is improved.
Drawings
Fig. 1 is a flowchart of a courseware management method for intelligent education provided in an exemplary embodiment.
Detailed Description
The following description of the embodiments of the present disclosure will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the disclosure. All other embodiments, based on the embodiments herein, which a person of ordinary skill in the art would obtain without undue burden, are within the scope of protection herein.
As shown in fig. 1, in one embodiment, the courseware management method for intelligent education of the present invention may include:
s1, the education cloud platform receives courseware request data sent by a first education terminal, wherein the courseware request data comprises courseware content, courseware basic information, courseware labels and target education consumer information.
The courseware request data are data which are sent by the first education terminal and are used for instructing the education cloud platform to push courseware to education consumers suitable for learning.
The first education terminal is terminal equipment of an education provider; the first education terminal includes a smart phone, a tablet computer, a notebook computer and a smart watch.
The target education consumers are target audience of courseware; the targeted educational consumer information includes the age, school and interests and related knowledge mastery of the targeted educational consumer. The courseware content is that the courseware label comprises a subject to which the courseware belongs, a courseware title and a courseware knowledge point.
Optionally, the courseware basic information comprises courseware type, courseware expression form and courseware format; the courseware types include: webpage class, multimedia class and interaction class; the webpage class courseware is a courseware in a text form developed by a webpage making tool; the multimedia courseware is a courseware in a multimedia form which is embodied in a video, audio and animation mode; the interactive class courseware is a courseware that interacts with educational consumers through remote or local applications.
Courseware expressions include text, images, audio, video, and animation. Courseware formats include JPG, GIF, WAV, MIDI, MP, WMA, FLASH, AVI, ASF and Quick Time.
S2, generating a first data stream by a courseware recommendation module of the education cloud platform according to courseware request data, wherein the first data stream comprises courseware labels, courseware basic information and target education consumer information.
Optionally, in one embodiment, a math teacher at a university uploads a higher math learning courseware related to learning a higher number, which records a derivative teaching video for the teacher in the classroom. And generating a first data stream according to courseware request data sent by an education terminal used by the teacher by a courseware recommendation module of the education cloud platform, wherein the first data stream comprises courseware labels, courseware basic information and target education consumer information, and in the courseware labels of the courseware, the subjects of the courseware are mathematics, the knowledge points of the courseware are differentiation, and the titles of the courseware are function differentiation. The courseware type in the courseware basic information is multimedia, the courseware expression form is video, and the courseware format is AVI. The target educational consumer of the courseware is a reading college student of a college class.
In the embodiment, the first data stream is used for prompting the related information of the higher mathematics courseware, the target educational consumer of the courseware is specified to be a college reading student of a college class, the range of the educational consumer is greatly reduced, the educational cloud platform does not blindly recommend the courseware to each educational consumer, accurate pushing is achieved, and cloud computing resources and network transmission bandwidth are saved.
Therefore, the first data stream generated according to the courseware request data only comprises information about calculating the courseware adaptation degree, transmission of data irrelevant to the calculation of the courseware adaptation degree is reduced, and efficiency of calculating the courseware adaptation degree is improved.
And S3, analyzing and obtaining courseware adaptation degree of the second education terminal by the courseware recommendation module according to the first data stream and the education consumer information.
The second educational terminal is a terminal device that educates the consumer. The second educational terminal includes, but is not limited to, a smart phone, a desktop computer, a tablet computer, a notebook computer, and a smart watch.
Optionally, the educational consumer information includes a name, gender, age, school, interests, historical learning data, and a device identifier of a second educational terminal corresponding to the educational consumer.
Optionally, the educational provider is a related crowd providing courseware resources over a network, including related educational institution personnel, school teacher, or courseware producer. The education consumers are related groups for learning by acquiring courseware resources through the network, and the education consumers comprise students in schools and other people with learning requirements.
Optionally, the courseware recommendation module of the education cloud platform obtains a courseware recommendation dictionary according to the first data stream, wherein the courseware recommendation dictionary comprises an identifier of each courseware recommendation index and a courseware recommendation vector P corresponding to each courseware recommendation index.
The courseware recommendation module obtains an educational consumer dictionary according to the educational consumer information, wherein the educational consumer dictionary comprises identifiers of each courseware recommendation index and educational consumer vectors Q corresponding to each courseware recommendation index. The courseware recommendation indexes comprise: age, interest, school, and knowledge mastery.
Optionally, the courseware recommendation module is configured to calculate the courseware recommendation vector p= [ P ] 1 ,p 2 …p n ]And educational consumer vector q= [ Q ] 1 ,q 2 ,…q n ]Calculating the adaptation degree h of each courseware recommendation index,
wherein ,
i is a feature index, n is the feature number of recommended indexes of each courseware, q i Educational consumer characteristic value, p, for ith characteristic of corresponding courseware recommendation index i And recommending characteristic values for courseware of the ith characteristic corresponding to the courseware recommendation index.
Optionally, the matching degree of the courseware recommendation index is the matching degree of educational consumers and courseware when the courseware recommendation index is specific to the courseware recommendation index. For example, when calculating the matching degree of a courseware recommendation index, which is the degree of knowledge about an english courseware, the courseware request data specifies that the english courseware is suitable for learning by educational consumers whose english level is four or more. If the educational consumer does not go through the English level four, the educational consumer has a lower matching degree with the courseware recommendation index of the knowledge point mastery degree of the English courseware.
The courseware recommendation module calculates courseware adaptation according to the adaptation corresponding to all courseware recommendation indexes:
wherein r is courseware adaptation degree, j is courseware recommendation index, m is number of courseware recommendation indexes, e is natural base number, and h j The adaptation degree s corresponding to the index recommended for the jth courseware j And recommending the weight coefficient corresponding to the index for the jth courseware.
S4, when the courseware adaptation degree is larger than the courseware learning degree, the courseware pushing module processes the courseware request data and the education consumer information to obtain a second data stream, and sends the second data stream to a corresponding second education terminal; the second data stream includes courseware content and a device identifier of a second educational terminal.
The device identifier of the second educational terminal is used to uniquely identify the second educational terminal. The process of generating the second data stream includes: the courseware pushing module acquires education consumer information with the courseware adaptation degree being greater than the courseware learning degree;
the courseware pushing module acquires a device identifier of the second education terminal according to the education consumer information; the courseware pushing module acquires courseware content according to courseware request data;
and the courseware pushing module maps the courseware content and the equipment identifier of the second education terminal to obtain a second data stream.
Optionally, english teachers of a university upload english courseware related to english learning, which is a section of explanatory video recorded by the teacher related to foreign classical culture. And the courseware recommending module of the education cloud platform generates a first data stream according to courseware request data sent by the first education terminal used by the teacher. The first data stream comprises courseware labels, courseware basic information and target education consumer information, wherein in the courseware labels of the courseware, the subjects of the courseware are English, the knowledge points of the courseware are classical cultures, and the titles of the courseware are foreign classical culture appreciation. In the courseware basic information, the courseware type is multimedia, the courseware expression form is video, and the courseware format is AVI. The target educational consumers of the courseware are college students of English profession and crowds with English levels reaching more than eight special purposes.
The courseware pushing module obtains that certain education consumers are students of English specialty of certain university, english level is more than eight, and interests and historical learning data are related to foreign classical culture. And the courseware pushing module analyzes the first data stream and the information of the educational consumers to obtain that the courseware adaptation degree of the educational consumers is larger than the courseware learning degree, obtains a second data stream according to the courseware request data and the information of the educational consumers, and pushes the second data stream to the corresponding educational consumers. The second data stream includes courseware content of the english courseware and a device identifier of the second educational terminal.
The courseware pushing module obtains that a certain education consumer is a mathematics specialty, the college student of English level four, the courseware adaptation degree of the second education terminal obtained by the courseware pushing module according to the first data stream and the education consumer information analysis is smaller than the courseware learning degree, and the courseware pushing module can not push the English courseware for the courseware.
The learning level of the courseware is a preset adaptation level threshold value, and the preset adaptation level threshold value is used for representing the adaptation level of the courseware and the educational consumer at least to reach when the courseware is learned by the educational consumer and is successfully combined with the courseware. Therefore, the second data stream generated according to the courseware request data only comprises courseware content and the equipment identifier of the second education terminal, so that transmission of other non-associated data during courseware recommendation is avoided, and the purposes of saving bandwidth and network resources and improving courseware pushing efficiency are achieved.
In another embodiment, the method further comprises: and S5, acquiring courseware learning information of educational consumers with the courseware adaptation degree larger than the courseware learning degree by the courseware analysis module to obtain a courseware learning dictionary, and analyzing the courseware learning dictionary to obtain courseware analysis data.
Optionally, the courseware learning information includes a time for educating the consumer to watch the courseware, a number of completed courseware, and an average viewing progress of the courseware. The courseware learning dictionary comprises a device identifier of the second education terminal and corresponding courseware learning information; courseware analysis data comprises courseware push success rate, number of courseware watching users, courseware playing number and courseware consumer characteristic dictionary.
The courseware push success rate is the total number of educational consumers with the courseware adaptation degree being greater than the courseware learning degree and the number of educational consumers actually learning the courseware. The number of courseware viewing users is the number of educational consumers viewing the courseware. The courseware consumer feature dictionary is educational consumer information of educational consumers who actually watch the courseware.
In another embodiment, the first educational terminal updates the targeted educational consumer information in the original courseware request data according to the courseware consumer feature dictionary in the courseware analysis data.
In this embodiment, the target educational consumer information in the courseware request data is updated by the relevant feature information of the educational consumer actually learned, so as to improve the accuracy of courseware recommendation at the time of the next courseware recommendation.
In one embodiment, an intelligent education courseware management system for operating the present invention includes an education cloud platform having a communication connection with a first education terminal and a second education terminal, respectively. The first educational terminal is a terminal device of an educational provider, and the second educational terminal is a terminal device of an educational consumer. The first education terminal comprises a smart phone, a tablet personal computer and a notebook computer, and the second education terminal comprises a smart phone, a desktop computer, a tablet personal computer and a notebook computer.
The education cloud platform comprises a database, a courseware recommending module, a courseware analyzing module and a courseware pushing module, wherein the courseware pushing module is in communication connection with the database, the courseware recommending module and the courseware analyzing module respectively.
The first education terminal is used for sending courseware request data to the education cloud platform. The second education terminal is used for sending information of the education consumers to the education cloud platform. And the courseware recommendation module is used for calculating the courseware adaptation degree of each education consumer according to the first data stream and the education consumer information.
And the courseware pushing module is used for processing the courseware request data and the education consumer information to obtain a second data stream and sending the second data stream to the corresponding second education terminal. And the courseware analysis module is used for obtaining a courseware learning dictionary according to courseware learning information of educational consumers and analyzing the courseware learning dictionary to obtain courseware analysis data.
In addition, each functional unit in the embodiments herein may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions herein may be essentially or part of contributing to the prior art, or all or part of the technical solutions may be embodied in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments herein, and the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Specific examples are set forth herein to illustrate the principles and embodiments herein and are merely illustrative of the methods herein and their core ideas; also, as will be apparent to those of ordinary skill in the art in light of the teachings herein, many variations are possible in the specific embodiments and in the scope of use, and nothing in this specification should be construed as a limitation on the invention.
Claims (8)
1. A courseware management method for intelligent education, comprising:
the education cloud platform receives courseware request data sent by a first education terminal, wherein the courseware request data comprises courseware content, courseware basic information, courseware labels and target education consumer information;
the courseware recommendation module of the education cloud platform generates a first data stream according to courseware request data, wherein the first data stream comprises courseware labels, courseware basic information and target education consumer information;
the courseware recommendation module analyzes and obtains courseware adaptation degree of the educational consumer according to the first data stream and the information of the educational consumer;
the courseware recommending module calculates the adaptation degree h of each courseware recommending index according to the courseware recommending vector and the education consumer vector,
wherein ,
i is a feature index, n is the feature number of recommended indexes of each courseware, q i Educational consumer characteristic value, p, for ith characteristic of corresponding courseware recommendation index i Recommending characteristic values for courseware of the ith characteristic corresponding to the courseware recommendation index;
the courseware recommendation module calculates the courseware adaptation degree according to the adaptation degrees corresponding to all courseware recommendation indexes,
wherein r is courseware adaptation degree, j is courseware recommendation index, m is number of courseware recommendation indexes, e is natural base number, and h j The adaptation degree s corresponding to the index recommended for the jth courseware j Recommending fingers for jth coursewareMarking a corresponding weight coefficient;
when the courseware adaptation degree is larger than the courseware learning degree, the courseware pushing module processes the courseware request data and the education consumer information to obtain a second data stream, and sends the second data stream to a corresponding second education terminal, wherein the second data stream comprises courseware content and a device identifier of the second education terminal; the courseware learning degree is a preset adaptation degree threshold value;
and the courseware analysis module acquires courseware learning information of educational consumers to obtain a courseware learning dictionary, and analyzes the courseware learning dictionary to obtain courseware analysis data.
2. The method of claim 1, wherein the first educational terminal is a terminal device of an educational provider, the first educational terminal comprising a smart phone, a tablet computer, and a notebook computer;
the second education terminal is terminal equipment for education consumers, and comprises a smart phone, a desktop computer, a tablet computer, a notebook computer and a smart watch.
3. The method of claim 2, wherein the educational consumer information comprises a name, gender, age, school, interests, historical learning data, and a device identifier of a second educational terminal to which the educational consumer corresponds.
4. The method of claim 3, wherein the courseware recommendation module of the educational cloud platform obtains a courseware recommendation dictionary according to the first data stream, the courseware recommendation dictionary comprising an identifier of each courseware recommendation index and a courseware recommendation vector corresponding to each courseware recommendation index;
the courseware recommendation module obtains an educational consumer dictionary according to the educational consumer information, wherein the educational consumer dictionary comprises identifiers of each courseware recommendation index and educational consumer vectors corresponding to each courseware recommendation index, and the courseware recommendation index comprises: age, interest, school.
5. The method of claim 4, wherein the targeted educational consumer is a targeted audience for a courseware, and the targeted educational consumer information comprises age, school, and interests of the targeted educational consumer.
6. The method according to one of claims 1 to 5, wherein the courseware learning dictionary comprises a device identifier of the second educational terminal and courseware learning information of the corresponding educational consumer.
7. The method of claim 6, wherein the courseware analysis data includes courseware push success rate, courseware view count, and courseware consumer feature dictionary.
8. The method of claim 7, wherein said courseware basic information includes courseware type, courseware expression form, and courseware format.
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