CN112347354A - Courseware management method for intelligent education - Google Patents

Courseware management method for intelligent education Download PDF

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CN112347354A
CN112347354A CN202011242040.9A CN202011242040A CN112347354A CN 112347354 A CN112347354 A CN 112347354A CN 202011242040 A CN202011242040 A CN 202011242040A CN 112347354 A CN112347354 A CN 112347354A
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黎阳
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Shanghai Kangyu Enterprise Management Consulting Co ltd
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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: the education cloud platform receives courseware request data sent by the first education terminal, wherein the courseware request data comprise courseware content, courseware basic information, courseware tags and target education consumer information. A courseware recommendation module of the education cloud platform generates a first data stream according to courseware request data. And the courseware recommending module analyzes the courseware adaptation degree of the education consumer according to the first data flow and the education consumer information. 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 courseware analysis module obtains courseware learning information of education consumers to obtain a courseware learning dictionary, and analyzes the courseware learning dictionary to obtain courseware analysis data.

Description

Courseware management method for intelligent education
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, the network teaching is widely applied, and more digital teaching resources related to the network teaching are provided. The digital teaching resources are beneficial to better understanding of teaching contents of students and improving teaching effects. However, as digital teaching resources become more and more abundant, students have an increasing difficulty in finding matching or appropriate courseware.
The traditional courseware searching mode is to search according to courseware names, so that courseware contents searched out often have larger difference with courseware contents wanted by users, and the courseware searching mode is not favorable for quickly and accurately searching courseware needed to be used.
In addition, in the current network multimedia teaching field, a traditional portal mode is mostly relied on to provide homogeneous teaching contents for all users in the network learning system. The mode can not well meet the requirements of individuation and differentiated learning of current increasingly-changed network teaching market important users. Therefore, there is a need 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:
the education cloud platform receives courseware request data sent by a first education terminal, wherein the courseware request data comprise courseware content, courseware basic information, courseware tags and target education consumer information.
The courseware recommendation module of the education cloud platform generates a first data flow according to courseware request data, and the first data flow comprises courseware tags, courseware basic information and target education consumer information.
And the courseware recommending module analyzes the courseware adaptation degree of the education consumer according to the first data flow and the education consumer information.
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 the second educational terminal.
The courseware analysis module obtains courseware learning information of education 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 comprises a smart phone, a tablet computer and a notebook computer;
the second education terminal is terminal equipment for educating consumers and comprises a smart phone, a desktop computer, a tablet computer, a notebook computer and a smart watch.
In a further embodiment, the education consumer information includes a name, a gender, an age, a scholarly, an interest, historical learning data of the education consumer, and a device identifier of a second education terminal corresponding to the education consumer.
In a further embodiment, a courseware recommendation module of the education cloud platform obtains a courseware recommendation dictionary according to the first data flow, 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 acquires an education consumer dictionary according to the education consumer information, wherein the education consumer dictionary comprises an identifier of each courseware recommendation index and an education consumer vector Q corresponding to each courseware recommendation index.
The courseware recommendation indexes comprise: age, interest, school calendar.
In a further embodiment, the courseware recommendation module is configured to recommend a courseware according to a courseware recommendation vector P ═ P1,p2…pn]And educating consumer vector Q ═ Q1,q2,…qn]Calculating the adaptation degree h of each courseware recommendation index,
Figure BDA0002768731340000021
wherein ,
Figure BDA0002768731340000022
i is a characteristic index, n is the characteristic number of each courseware recommendation index, and q isiEducational Consumer characteristic value, p, for the ith characteristic of the corresponding courseware recommendation indexiAnd recommending a characteristic value for the courseware corresponding to the ith characteristic of the courseware recommendation index.
In a further embodiment, the courseware recommending module calculates the courseware suitability r according to the suitability corresponding to all courseware recommending indexes,
Figure BDA0002768731340000031
wherein j is the index of courseware recommendation indexes, m is the number of courseware recommendation indexes, e is the natural base number, hjAdaptation degree, s corresponding to jth courseware recommendation indexjAnd the weighting coefficient corresponding to the jth courseware recommendation index.
In further embodiments, the target educational consumer is a target audience for a courseware; the target education consumer information includes age, academic history, and interests of the target education consumer.
The courseware learning dictionary includes the 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, courseware viewer number, courseware play count, and courseware consumer characteristics dictionary.
In a further embodiment, the courseware basic information comprises courseware type, courseware expression form and courseware format.
The courseware types include: the system comprises a webpage text class, a multimedia class and an interactive class, wherein the webpage text class courseware is a courseware developed by a webpage making tool in a text form; the multimedia courseware is a multimedia courseware represented by video, audio and animation modes; the interaction class courseware is courseware that interacts with the educational consumer through a remote or local application.
In further embodiments, the courseware expression includes text, images, audio, video, and animation. The courseware tag comprises subject to which courseware belongs, courseware titles and courseware knowledge points.
The courseware formats include JPG, GIF, WAV, MIDI, MP3, WMA, FLASH, AVI, ASF, and Quick Time.
The invention calculates the courseware adaptation degree according to the courseware request data sent by the first education terminal and the education consumer information sent by the second education terminal, and pushes the courseware to the education consumer whose courseware adaptation degree is greater than the courseware learning degree, thereby realizing the accurate recommendation of the courseware and improving the courseware recommendation efficiency.
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Fig. 1 is a flowchart illustrating a courseware management method for intelligent education according to an exemplary embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments herein without making any creative effort, shall fall within the scope of protection.
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 the first education terminal, wherein the courseware request data comprise courseware content, courseware basic information, courseware labels and target education consumer information.
The courseware request data is data sent by the first education terminal and 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 comprises a smart phone, a tablet computer, a notebook computer and a smart watch.
Target educating consumers as target audiences of courseware; the target education consumer information includes age, academic history and interest of the target education consumer and a degree of knowledge related thereto. The courseware content is that the courseware label includes subject, courseware title and courseware knowledge point that the courseware belongs to.
Optionally, the courseware basic information includes courseware type, courseware expression form and courseware format; the courseware types include: web page class, multimedia class, interactive class; the webpage class courseware is a courseware in a text form developed by a webpage making tool; the multimedia courseware is a multimedia courseware represented by video, audio and animation modes; the interaction class courseware is courseware that interacts with the educational consumer through a remote or local application.
Courseware expressions include text, images, audio, video, and animation. Courseware formats include JPG, GIF, WAV, MIDI, MP3, WMA, FLASH, AVI, ASF, and Quick Time.
And S2, generating a first data stream by the courseware recommendation 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.
Optionally, in one embodiment, a math teacher in a college uploads higher math learning courseware related to learning high numbers, and the courseware is used for recording a piece of differential teaching video in a classroom for the teacher. The courseware recommendation module of the education cloud platform generates a first data flow according to courseware request data sent by an education terminal used by a teacher, wherein the first data flow comprises courseware labels, courseware basic information and target education consumer information, the subject of the courseware is mathematics, courseware knowledge points are differential, and courseware titles are function differential mathematics in the courseware labels of the courseware. The courseware type in the courseware basic information is multimedia, the courseware expression form is video, and the courseware format is AVI. The target of the courseware educates consumers as college students in science and technology.
In the embodiment, the first data stream is used for prompting the relevant information of the advanced mathematic courseware, the target education consumers of the courseware are specified to be students reading the major for the science and technology, the range of the education consumers is greatly reduced, the education cloud platform does not recommend the courseware to each education consumer blindly, 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 related to courseware adaptation degree calculation, data irrelevant to the courseware adaptation degree calculation is reduced in transmission, and the efficiency of the courseware adaptation degree calculation is improved.
And S3, the courseware recommending module analyzes the first data flow and the education consumer information to obtain the courseware adaptation degree of the second education terminal.
The second education terminal is a terminal device for educating the consumer. The second educational terminal includes, but is not limited to, a smartphone, a desktop computer, a tablet computer, a laptop computer, and a smart watch.
Optionally, the education consumer information includes a name, a gender, an age, a study, an interest, historical learning data of the education consumer, and a device identifier of a corresponding second education terminal of the education consumer.
Optionally, the education provider is a relevant group providing courseware resources over a network, including relevant educational institution personnel, school teachers, or courseware makers. The education consumers are related groups for learning by acquiring courseware resources through the network, and the related groups comprise students and other people with learning requirements in school reading.
Optionally, the courseware recommendation module of the education cloud platform acquires a courseware recommendation dictionary according to the first data flow, where the courseware recommendation dictionary includes an identifier of each courseware recommendation index and a courseware recommendation vector P corresponding to each courseware recommendation index.
The courseware recommendation module acquires an education consumer dictionary according to the education consumer information, wherein the education consumer dictionary comprises an identifier of each courseware recommendation index and an education consumer vector Q corresponding to each courseware recommendation index. The courseware recommendation indexes comprise: age, interest, academic history, and knowledge mastery.
Optionally, the courseware recommendation module sets [ P ] according to the courseware recommendation vector P1,p2…pn]And educating consumer vector Q ═ Q1,q2,…qn]Calculating the adaptation degree h of each courseware recommendation index,
Figure BDA0002768731340000051
wherein ,
Figure BDA0002768731340000061
i is a characteristic index, n is the characteristic number of each courseware recommendation index, and q isiFor the ith courseware recommendation indexEducational Consumer feature value of features, piAnd recommending a characteristic value for the courseware corresponding to the ith characteristic of the courseware recommendation index.
Optionally, the suitability of the courseware recommendation index is the matching degree of the education consumer and the courseware when the specific courseware recommendation index is aimed at. For example, when calculating the matching degree of the course recommendation index, which is the knowledge point mastery degree of an english course, the english course is specified in the course request data to be suitable for educational consumers whose english level is above the english level. If the education consumer does not go through the fourth grade of English, the matching degree of the education consumer and the courseware recommendation index of knowledge point mastering degree of the English courseware is lower.
The courseware recommendation module calculates courseware adaptation degrees according to the adaptation degrees corresponding to all courseware recommendation indexes:
Figure BDA0002768731340000062
wherein r is courseware adaptation degree, j is courseware recommendation index, m is number of courseware recommendation indexes, e is natural base number, hjAdaptation degree, s corresponding to jth courseware recommendation indexjAnd the weighting coefficient corresponding to the jth courseware recommendation index.
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 the corresponding second education terminal; the second data stream includes courseware content and a device identifier of the 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 courseware adaptation degree greater than courseware learning degree;
the courseware pushing module acquires the equipment identifier of the second education terminal according to the education consumer information; the courseware pushing module acquires courseware contents according to the courseware request data;
and the courseware pushing module carries out mapping processing on courseware content and the equipment identifier of the second education terminal to obtain a second data stream.
Alternatively, an english teacher of a college uploads english courseware relating to english learning, which is a section of explanation video recorded by the teacher relating to foreign classical culture. And a courseware recommendation module of the education cloud platform generates a first data stream according to courseware request data sent by a first education terminal used by the teacher. The first data flow comprises courseware labels, courseware basic information and target education consumer information, wherein in the courseware labels of the courseware, the subject of the courseware is English, the courseware knowledge point is classical culture, and the courseware title is 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 education consumers of the courseware are college students of English major and crowds with English level reaching more than eight.
The educational consumers obtained by the courseware pushing module are students of English major of colleges, the English level is more than eight specialties, and the interest and the historical learning data of the educational consumers are related to foreign classical culture. The courseware pushing module obtains courseware adaptation degree of education consumers larger than courseware learning degree according to the first data flow and the education consumer information, obtains a second data flow according to courseware request data and the education consumer information, and pushes the second data flow to corresponding education consumers. The second data stream includes the courseware content for the english courseware and the device identifier for the second educational terminal.
The courseware pushing module obtains that a certain education consumer is a mathematic specialty, college students of English level four, courseware pushing module is less than courseware learning degree according to the courseware adaptation degree of the second education terminal obtained by the first data flow and the education consumer information analysis, and the courseware pushing module can not push the English courseware for the courseware pushing module.
The courseware learning degree is a preset adaptation degree threshold value and is used for representing the adaptation degree which at least needs to be reached by the adaptation degree of the courseware and the education consumer when the courseware is learned by the education consumer and smoothly ends a course. In this way, the second data stream generated according to the courseware request data only comprises courseware contents and the equipment identifier of the second education terminal, so that the transmission of other non-relevant 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: step S5, the courseware analysis module obtains the courseware learning information of the education consumer whose courseware adaptation degree is larger than the courseware learning degree to obtain a courseware learning dictionary, and analyzes the courseware learning dictionary to obtain courseware analysis data.
Optionally, the courseware learning information includes a time for the educational consumer to view courseware, a number of plays completed for the courseware, and an average progress of viewing of the courseware. The courseware learning dictionary comprises an equipment identifier of the second education terminal and corresponding courseware learning information; courseware analysis data includes courseware pushing success rate, courseware watching user number, courseware playing number and courseware consumer feature dictionary.
The courseware pushing success rate is the total number of education consumers with courseware adaptation degree larger than courseware learning degree and the number of education consumers actually learning the courseware. The number of courseware watching users is the number of educational consumers watching the courseware. The courseware consumer profile dictionary is the educational consumer information for the educational consumers who actually view the courseware.
In another embodiment, the first educational terminal updates the targeted educational consumer information in the original courseware request data according to a courseware consumer profile dictionary in the courseware analysis data.
In this embodiment, the targeted education consumer information in the course request data is updated by the relevant characteristic information of the education consumer actually learned to improve the course recommendation accuracy at the next course recommendation.
In one embodiment, the intelligent education courseware management system for operating the invention comprises an education cloud platform, a first education terminal and a second education terminal, wherein the education cloud platform is respectively in communication connection with the first education terminal and the second education terminal. 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 education consumer information to the education cloud platform. The courseware recommendation module is used for calculating courseware adaptation degree of each education consumer according to the first data flow and the education consumer information.
And the courseware pushing module is used for processing according to 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. The courseware analysis module is used for obtaining a courseware learning dictionary according to the courseware learning information of the education consumers and analyzing the courseware learning dictionary to obtain courseware analysis data.
In addition, functional units in the embodiments herein may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium, which includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present invention, and the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The principles and embodiments of this document are explained herein using specific examples, which are presented only to aid in understanding the methods and their core concepts; meanwhile, for the general technical personnel in the field, according to the idea of this document, there may be changes in the concrete implementation and the application scope, in summary, this description should not be understood as the limitation of this document.

Claims (10)

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 comprise courseware content, courseware basic information, courseware tags and target education consumer information;
a courseware recommendation module of the education cloud platform generates a first data flow according to courseware request data, wherein the first data flow comprises courseware labels, courseware basic information and target education consumer information;
the courseware recommending module analyzes the courseware adaptation degree of the education consumer according to the first data flow and the education consumer information;
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 a corresponding second education terminal, and the second data stream comprises courseware content and an equipment identifier of the second education terminal;
the courseware analysis module obtains courseware learning information of education 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 smartphone, a tablet, and a laptop;
the second education terminal is terminal equipment for educating 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 education consumer information includes a name, a sex, an age, a scholarly, an interest, a history learning data of the education consumer, and a device identifier of a second education terminal corresponding to the education consumer.
4. The method of claim 3, wherein the courseware recommendation module of the education cloud platform obtains a courseware recommendation dictionary according to the first data flow, 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 education consumer dictionary according to education consumer information, the education consumer dictionary comprises an identifier of each courseware recommendation index and an education consumer vector corresponding to each courseware recommendation index, and the courseware recommendation indexes comprise: age, interest, school calendar.
5. The method of claim 4, wherein the courseware recommendation module calculates a degree of adaptation h for each courseware recommendation indicator based on the courseware recommendation vector and the educational consumer vector,
Figure FDA0002768731330000021
wherein ,
Figure FDA0002768731330000022
i is a characteristic index, n is the characteristic number of each courseware recommendation index, and q isiEducational consumer feature value for ith feature of corresponding courseware recommendation index，piAnd recommending a characteristic value for the courseware corresponding to the ith characteristic of the courseware recommendation index.
6. The method of claim 5, wherein the courseware recommendation module calculates the courseware suitability according to the suitability corresponding to all the courseware recommendation indexes,
Figure FDA0002768731330000023
wherein r is courseware adaptation degree, j is courseware recommendation index, m is number of courseware recommendation indexes, e is natural base number, hjAdaptation degree, s corresponding to jth courseware recommendation indexjAnd the weighting coefficient corresponding to the jth courseware recommendation index.
7. The method of claim 6, wherein the target educational consumer is a target audience for a courseware, and the target educational consumer information comprises age, academic history, and interests of the target educational consumer.
8. The method of any of claims 1 to 7, wherein the courseware learning dictionary comprises device identifiers of the second educational terminal and courseware learning information corresponding to an educational consumer.
9. The method of any one of claims 1 to 8, wherein the courseware analysis data comprises courseware push success rate, courseware view count and courseware consumer profile dictionary.
10. The method of claim 9, wherein the courseware base information includes courseware type, courseware expression form and courseware format.
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