CN104504597A - Knowledge shop management system and knowledge shop management method of study platform - Google Patents
Knowledge shop management system and knowledge shop management method of study platform Download PDFInfo
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Abstract
The invention provides a knowledge shop management system and a knowledge shop management method of a study platform. By the knowledge shop management system, students' resource search records, use behaviors, purchase records and background information on the study platform are subjected to clustering analysis to acquire multiple clustering types and students' clustering types, features of the students' clustering types are compared with features of study resources of the study platform, the study resources matched with the students' clustering types in feature are searched out, and recommendation lists are generated according to the searched study resources and are recommended to the students. The study resources which the students are interested in and need are predicated through clustering and matching, and the recommendation lists are generated according to predication results and are provided for the students for reference, so that the students can find and purchase the study resources according to links in the recommendation lists without spending time in inquiring and searching if the recommendation lists include the study resources which the students intend to purchase.
Description
Technical field
The present invention relates to electronic instruction field, particularly relate to a kind of knowledge market management system and method for learning platform.
Background technology
Interactive on-line study, refer to and utilize Multimedia Computer Technology and network technology, realize the emerging mode of learning of one forming exchange and interdynamic between teacher and learner and learner colony, outside the framework of traditional education system and teaching method, a kind of brand-new teaching pattern explored, desirable interactive learning environment is created by network, achieve web-based teaching, management and interactive learning service, the time that overcomes, upper, spatially resource distribution limited, make learner in the middle of interactively relation, reach the destination of study.
Interactive learning platform utilizes the technology such as XML, builds the teaching environment of an emulation, can provide personalized service for student, puts forth effort to play the advantage of the individualized learning of the Web-based instruction, creative learning and cooperative learning.But existing a part of learning platform only provides teaching environment, study will buy education resource to be needed bookstore or uses other shopping platforms such as Taobao to buy; Another part learning platform provides education resource to buy for student, but student often needs to spend the more time initiatively to go to search search education resource.
Summary of the invention
Based on this, be necessary the deficiency for present learning platform, provide a kind of and recommend knowledge market management system and the method for the learning platform of education resource for student.
A knowledge market management system for learning platform, comprising:
Record memory module, for storing student at the resource searching record of learning platform, usage behavior and purchaser record;
Background information acquisition module, for obtaining the background information of student;
Cluster Analysis module, for carrying out cluster analysis to the student stored in the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, obtains multiple cluster classification;
Characteristic matching module, for obtaining the cluster classification of student, and mating the feature of the feature of the cluster classification belonging to student with the education resource in the knowledge store of learning platform, finding out the education resource matched with the feature of cluster classification;
Recommendation list generation module, for education resource generating recommendations list characteristic matching module found out.
In a kind of concrete embodiment, the background information of student comprises the score of each subject of student and the operation mistake topic of student.
In a kind of concrete embodiment, Cluster Analysis module, specifically for the operation of the score of each subject of the resource searching record of student, usage behavior, purchaser record, student and student mistake topic is carried out cluster analysis, obtains multiple cluster classification.
In a kind of concrete embodiment, system also comprises sending module, for the recommendation list of generation is sent to student.
In a kind of concrete embodiment, system also comprises:
Buy module, buy education resource for student;
Payment module, pays the education resource selected for student;
Evaluation module, evaluates the education resource bought for student.
In a kind of concrete embodiment, system also comprises, search module, and search module is used for providing blur level joint investigation to ask.
A knowledge store management method for learning platform, comprises the following steps:
Store student at the resource searching record of learning platform, usage behavior and purchaser record;
Obtain the background information of student;
In the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, cluster analysis is carried out to the student stored, obtains multiple cluster classification;
Obtain the cluster classification of student, and the feature of the feature of the cluster classification belonging to student with the education resource in the knowledge store of learning platform is mated, find out the education resource matched with the feature of cluster classification;
By the education resource generating recommendations list found out.
In a kind of concrete embodiment, the background information of student comprises the score of each subject of student and the operation mistake topic of student.
In a kind of concrete embodiment, in the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, cluster analysis is carried out to the student stored, the step obtaining multiple cluster classification is specially: the operation mistake topic of the score of each subject of the resource searching record of student, usage behavior, purchaser record, student and student is carried out cluster analysis, obtains multiple cluster classification.
In a kind of concrete embodiment, by after the step of education resource generating recommendations list found out, also comprise and the recommendation list of generation is sent to student.The knowledge market management system of above-mentioned learning platform, by carrying out cluster analysis to student in the background information of the resource searching record of learning platform, usage behavior, purchaser record and student, obtain multiple cluster classification, and obtain the cluster classification of student, the feature of cluster classification belonging to this student is mated with the feature of the education resource of learning platform, find out the education resource matched with the feature of the cluster classification belonging to this student, student is recommended in the education resource generating recommendations list found out.Due to the background information by analyzing student and resource searching record, usage behavior, purchaser record, can be predicted by education resource that is interested to student and that need by cluster and coupling, and the result generating recommendations list of prediction is supplied to student, for student's reference.If just there is the education resource that student intends to buy in the list recommended, then student goes inquiry and search namely find this education resource by the link in recommendation list and buy without the need to spended time again.
The knowledge store management method of above-mentioned learning platform, by carrying out cluster analysis to student in the background information of the resource searching record of learning platform, usage behavior, purchaser record and student, obtain multiple cluster classification, and obtain the cluster classification of student, the feature of cluster classification belonging to this student is mated with the feature of the education resource of learning platform, find out the education resource matched with the feature of the cluster classification belonging to this student, student is recommended in the education resource generating recommendations list found out.Due to the background information by analyzing student and resource searching record, usage behavior, purchaser record, can be predicted by education resource that is interested to student and that need by cluster and coupling, and the result generating recommendations list of prediction is supplied to student, for student's reference.If just there is the education resource that student intends to buy in the list recommended, then student goes inquiry and search namely find this education resource by the link in recommendation list and buy without the need to spended time again.
Accompanying drawing explanation
Fig. 1 is a kind of module map of knowledge market management system of learning platform of embodiment;
Fig. 2 is a kind of comprising modules figure of interactive learning platform;
Fig. 3 is a kind of process flow diagram of knowledge store management method of learning platform of embodiment.
Embodiment
In order to make technical scheme of the present invention and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As described in Figure 1, a kind of knowledge market management system of learning platform, comprising:
Record memory module 101, for storing student at the resource searching record of learning platform, usage behavior and purchaser record.
Background information acquisition module 102, for obtaining the background information of student.
Cluster Analysis module 103, for carrying out cluster analysis to the student stored in the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, obtains multiple cluster classification.Be specially, use clustering algorithm, by analyzing the background information of student the resource searching record of learning platform, usage behavior, purchaser record and student, multiple classification of student being classified.Each cluster classification takes on a different character, and the background information of the student of the resource searching record of this feature and student, usage behavior, purchaser record is relevant.
Characteristic matching module 104, for obtaining the cluster classification of student, and mating the feature of the feature of the cluster classification belonging to this student with the education resource in the knowledge store of learning platform, finding out the education resource matched with the feature of described cluster classification.
Recommendation list generation module 105, for education resource generating recommendations list characteristic matching module found out.
The knowledge market management system of above-mentioned learning platform, by carrying out cluster analysis to student in the background information of the resource searching record of learning platform, usage behavior, purchaser record and student, obtain multiple cluster classification, and obtain the cluster classification of student, the feature of cluster classification belonging to this student is mated with the feature of the education resource of learning platform, find out the education resource matched with the feature of the cluster classification belonging to this student, student is recommended in the education resource generating recommendations list found out.Due to the background information by analyzing student and resource searching record, usage behavior, purchaser record, can be predicted by education resource that is interested to student and that need by cluster and coupling, and the result generating recommendations list of prediction is supplied to student, for student's reference.If just there is the education resource that student intends to buy in the list recommended, then student goes inquiry and search namely find this education resource by the link in recommendation list and buy without the need to spended time again.
In another embodiment, the background information of student comprises the score of each subject of student and the operation mistake topic etc. of student.
This Cluster Analysis module 103, specifically for the operation of the score of each subject of the resource searching record of student, usage behavior, purchaser record, student and student mistake topic is carried out cluster analysis, obtains multiple cluster classification.Being specially, using clustering algorithm, carrying out cluster analysis, multiple classification of student being classified by analyzing student at the score of each subject of the resource searching record of learning platform, usage behavior, purchaser record, student and the operation mistake topic of student.Each cluster classification takes on a different character, and the resource searching record of this feature and student, usage behavior, purchaser record, the score of each subject of student and the operation mistake of student are inscribed relevant.
Recommendation list generation module 105, for education resource generating recommendations list characteristic matching module found out.
The knowledge market management system of above-mentioned learning platform, by carrying out cluster analysis to student in the operation mistake topic etc. of the purchase note of learning platform, the score of each subject of student and student, obtain multiple cluster classification, and obtain the cluster classification of student, the feature of cluster classification belonging to this student is mated with the feature of the education resource of learning platform, find out the education resource matched with the feature of the cluster classification belonging to this student, student is recommended in the education resource generating recommendations list found out.Due to the score of each subject of the resource searching record by analyzing student, usage behavior, purchaser record, student and the operation mistake topic etc. of student, can be predicted student interested section object education resource and education resource on the weak side by cluster and coupling, and the result generating recommendations list of prediction is supplied to student, for student's reference.If just there is the education resource that student intends to buy in the list recommended, then student goes inquiry and search namely find this education resource by the link in recommendation list and buy without the need to spended time again.
In another embodiment, the knowledge market management system of this learning platform also comprises:
Sending module 106, for sending to described student by the recommendation list of generation.Be specially, send to the client or individual center etc. of student in form of a message.
In another embodiment, the knowledge market management system of this learning platform also comprises search module 107, for providing blur level joint investigation to ask, namely select the constraint character filterings such as subject, grade, term successively and fall irrelevant information, thus precise search is to corresponding education resource.If recommendation list goes out not have student to need the education resource bought, then student can be ask by the blur level joint investigation of search module, successively selected subject, grade, term etc., be accurate to corresponding education resource, and browse one by one without the need to taking time and just can find required education resource.
In another embodiment, the knowledge market management system of this learning platform also comprises:
Buy module 108, buy education resource for student.
Payment module 109, pays the education resource selected for student.When the education resource that student selects is the commodity of charge, student needs to pay corresponding expense by payment module, and teacher then can obtain corresponding remuneration.The modes of payments can pay for Alipay, other modes of payments such as Net silver on-line payment or its micro-letter payment.
Evaluation module 110, evaluates the education resource bought for student.After student buys education resource, can evaluate corresponding education resource, provide reference for other student buys resource.The evaluation that teacher is obtained after sale to uploaded education resource, can make corresponding explanation at evaluation module.
This learning platform is by arranging knowledge store, teacher can register one's own special education resource on-line shop, knowledge store is different from other shopping websites, teacher can only sell the commodity of study class inside the on-line shop of oneself, comprise the education resource such as video, document, the education resource that online shopping mall sells is bought by student resource and is used, and commodity also can not produce logistics information.Teacher can choose corresponding education resource and be uploaded to knowledge store in the item bank management of the learning platform of oneself, data is priced at charge or free commodity, and data is simply described, by describing, can be buyer to this education resource have a basic understanding to this resource before purchase to enable student.When will work as commodity for charge commodity, student will need by the corresponding expense of payment module on-line payment, and teacher then can obtain corresponding income remuneration.Student, when purchase uses education resource, can provide evaluation to corresponding education resource, and select to buy for other students, teacher also can contact corresponding student in time, comments make pragmatize to the difference of student.
It is movable that corresponding platform also regularly can be held in knowledge store, encourage teacher between active stage multiple cloth new commodity, carry out answering questions more, teacher can obtain extra remuneration than usual, and student, between the movable introductory period, also can enjoy purchase commodities at low prices and other premiums.
The knowledge store of this learning platform also adopts integration system, student often buys education resource commodity or initiates once to answer questions to teacher, system can give corresponding reward on total mark automatically, and teacher often issues education resource commodity, sale education resource commodity or answers questions and once can obtain corresponding integration.Integration is according to integration how many points of ranks, and different member's ranks can be enjoyed different platforms and use preferential.
The knowledge market management system of above-mentioned learning platform, can as an independently system, also can as the functional subsystem of learning platform, a kind of interactive learning platform, this platform is a kind of interactive learning platform based on mobile Internet or WEB, as shown in Figure 2, comprise server 100, teacher side 200 and student side 300, teacher side 200 and student side 300 communicate to connect with server 100 respectively; Server 100 is for the information of the education resource that stores teacher side and upload and school, Faculty and Students, and to realize education informations mutual by being connected with server communication for teacher side 200 and student side 300.Concrete, this platform can be the form of website, also can be the form of APP.Teacher side 200 and student side 300 can be connected with server communication by the such as terminal device such as computer, mobile phone or panel computer, and the mode of communication connection can be fixed broadband network, WLAN WLAN (wireless local area network) etc.
The server of this interactive learning platform comprises the knowledge market management system of above-mentioned learning platform, teacher can by the original examination question that is distributed in the managing test paper of learning platform or former years paper, original examination question in the individual exam pool of learning platform, document in the private privileges of learning platform and courseware and being placed in knowledge store at the answer video of the interaction classroom of learning platform or open video etc. is sold to student, the management system in knowledge store is by remembering in the purchase of learning platform student, the score of each subject of student and the operation mistake topic etc. of student carry out cluster analysis, obtain multiple cluster classification, and obtain the cluster classification of student, the feature of cluster classification belonging to this student is mated with the feature of the education resource of learning platform, find out the education resource matched with the feature of the cluster classification belonging to this student, student is recommended in the education resource generating recommendations list found out.Due to the score of each subject of the resource searching record by analyzing student, usage behavior, purchaser record, student and the operation mistake topic etc. of student, can be predicted student interested section object education resource and education resource on the weak side by cluster and coupling, and the result generating recommendations list of prediction is supplied to student, for student's reference.If just there is the education resource that student intends to buy in the list recommended, then student goes inquiry and search namely find this education resource by the link in recommendation list and buy without the need to spended time again.
As shown in Figure 3, the present invention also provides a kind of knowledge store management method of learning platform, comprises the following steps:
S101: store student at the resource searching record of learning platform, usage behavior and purchaser record.
S102: the background information obtaining student.
S103: in the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, cluster analysis is carried out to the student stored, obtains multiple cluster classification.Be specially, use clustering algorithm, by analyzing the background information of student the resource searching record of learning platform, usage behavior, purchaser record and student, multiple classification of student being classified.Each cluster classification takes on a different character, and the background information of the student of the resource searching record of this feature and student, usage behavior, purchaser record is relevant.
S104: the cluster classification obtaining student, and the feature of the feature of the cluster classification belonging to this student with the education resource in the knowledge store of learning platform is mated, find out the education resource matched with the feature of described cluster classification.
S105: by the education resource generating recommendations list found out.
The knowledge store management method of above-mentioned learning platform, by carrying out cluster analysis to student in the background information of the resource searching record of learning platform, usage behavior, purchaser record and student, obtain multiple cluster classification, and obtain the cluster classification of student, the feature of cluster classification belonging to this student is mated with the feature of the education resource of learning platform, find out the education resource matched with the feature of the cluster classification belonging to this student, student is recommended in the education resource generating recommendations list found out.Due to the background information by analyzing student and resource searching record, usage behavior, purchaser record, can be predicted by education resource that is interested to student and that need by cluster and coupling, and the result generating recommendations list of prediction is supplied to student, for student's reference.If just there is the education resource that student intends to buy in the list recommended, then student goes inquiry and search namely find this education resource by the link in recommendation list and buy without the need to spended time again.
Concrete, the background information of this student comprises the score of each subject of student and the operation mistake topic of student.Step S103, in the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, cluster analysis is carried out to the student stored, the step obtaining multiple cluster classification is specially: the operation mistake topic of the score of each subject of the resource searching record of student, usage behavior, purchaser record, student and student is carried out cluster analysis, obtains multiple cluster classification.
The method also comprises step S106, and the recommendation list of generation is sent to described student.Be specially, send to the client or individual center etc. of student in form of a message.
The knowledge store management method of above-mentioned learning platform, by carrying out cluster analysis to student in the operation mistake topic etc. of the purchase note of learning platform, the score of each subject of student and student, obtain multiple cluster classification, and obtain the cluster classification of student, the feature of cluster classification belonging to this student is mated with the feature of the education resource of learning platform, find out the education resource matched with the feature of the cluster classification belonging to this student, student is recommended in the education resource generating recommendations list found out.Due to the score of each subject of the resource searching record by analyzing student, usage behavior, purchaser record, student and the operation mistake topic etc. of student, can be predicted student interested section object education resource and education resource on the weak side by cluster and coupling, and the result generating recommendations list of prediction is supplied to student, for student's reference.If just there is the education resource that student intends to buy in the list recommended, then student goes inquiry and search namely find this education resource by the link in recommendation list and buy without the need to spended time again.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a knowledge market management system for learning platform, is characterized in that, comprising:
Record memory module, for storing student at the resource searching record of learning platform, usage behavior and purchaser record;
Background information acquisition module, for obtaining the background information of student;
Cluster Analysis module, for carrying out cluster analysis to the student stored in the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, obtains multiple cluster classification;
Characteristic matching module, for obtaining the cluster classification of student, and mating the feature of the feature of the cluster classification belonging to described student with the education resource in the knowledge store of learning platform, finding out the education resource matched with the feature of described cluster classification;
Recommendation list generation module, for education resource generating recommendations list characteristic matching module found out.
2. the knowledge market management system of learning platform according to claim 1, is characterized in that, the background information of described student comprises the score of each subject of student and the operation mistake topic of student.
3. the knowledge market management system of learning platform according to claim 2, it is characterized in that, described Cluster Analysis module, specifically for the operation of the score of each subject of the resource searching record of student, usage behavior, purchaser record, student and student mistake topic is carried out cluster analysis, obtain multiple cluster classification.
4. the knowledge market management system of learning platform according to claim 3, is characterized in that, described system also comprises sending module, for the recommendation list of generation is sent to described student.
5. the knowledge market management system of learning platform according to claim 1, is characterized in that, described system also comprises:
Buy module, buy education resource for student;
Payment module, pays the education resource selected for student;
Evaluation module, evaluates the education resource bought for student.
6. the knowledge market management system of learning platform according to claim 5, is characterized in that, described system also comprises, search module, and described search module is used for providing blur level joint investigation to ask.
7. a knowledge store management method for learning platform, is characterized in that, comprise the following steps:
Store student at the resource searching record of learning platform, usage behavior and purchaser record;
Obtain the background information of student;
In the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, cluster analysis is carried out to the student stored, obtains multiple cluster classification;
Obtain the cluster classification of student, and the feature of the feature of the cluster classification belonging to described student with the education resource in the knowledge store of learning platform is mated, find out the education resource matched with the feature of described cluster classification;
By the education resource generating recommendations list found out.
8. the knowledge store management method of learning platform according to claim 7, is characterized in that, the background information of described student comprises the score of each subject of student and the operation mistake topic of student.
9. the knowledge store management method of learning platform according to claim 8, it is characterized in that, the described student to storing carries out cluster analysis in the background information of the student of the resource searching record of learning platform, usage behavior, purchaser record and acquisition, the step obtaining multiple cluster classification is specially: the operation mistake topic of the score of each subject of the resource searching record of student, usage behavior, purchaser record, student and student is carried out cluster analysis, obtains multiple cluster classification.
10. the knowledge store management method of learning platform according to claim 7, is characterized in that, described by after the step of education resource generating recommendations list found out, also comprises and the recommendation list of generation is sent to described student.
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