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CN104811743A - Online education platform using method - Google Patents

Online education platform using method Download PDF

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Publication number
CN104811743A
CN104811743A CN201510225781.9A CN201510225781A CN104811743A CN 104811743 A CN104811743 A CN 104811743A CN 201510225781 A CN201510225781 A CN 201510225781A CN 104811743 A CN104811743 A CN 104811743A
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CN
China
Prior art keywords
user
module
data
application server
web application
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Pending
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CN201510225781.9A
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Chinese (zh)
Inventor
张凌华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Wheat Information Technology Co Ltd
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Chengdu Wheat Information Technology Co Ltd
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Priority to CN201510225781.9A priority Critical patent/CN104811743A/en
Publication of CN104811743A publication Critical patent/CN104811743A/en
Pending legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/231Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
    • H04N21/23103Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion using load balancing strategies, e.g. by placing or distributing content on different disks, different memories or different servers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/242Synchronization processes, e.g. processing of PCR [Program Clock References]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/262Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
    • H04N21/26258Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/845Structuring of content, e.g. decomposing content into time segments
    • H04N21/8456Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Computer Graphics (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an online education platform using method including a user education step selection step, a user data storing step and a data analysis step. The data analysis step includes S31, allowing a WEB application server to transmit user data of a database storage service module to a data analysis module to analyze, acquiring the learning progress of a user, producing a user's capability model, and detecting the capability, including execution capability, comprehensive quality and thinking capability, of the user through different quadrants; S32, allowing the data analysis module to perform reverse matching on the capability model acquired in the S31 and reality, and optimizing the capability model algorithm continuously. The whole learning process of a student can be tracked, huge amounts of data are generated in the process, by means of the data, the learning progress of the student can be acquired, the student's capability model is generated and matches with the reality of the student, and the capability model algorithm is optimized continuously to analyze the user's data.

Description

A kind of using method of online education platform
Technical field
The present invention relates to a kind of using method of online education platform.
Background technology
Online education is a kind of new education mode produced along with the development of modern information technologies, with multimedia, interactive mode for feature, at a distance, fast speed, transmission teaching in high quality acoustic image, picture and text and data, breach conventional teaching and training restriction over time and space, different location can be realized, impart knowledge to students in real time, alternatively.But on-line education system is all the broadcasting of the stacking of content, video mostly at present, and student's interaction is also only limitted to live streaming classroom, therefore defect clearly, relative to on-the-spot teaching, online education, for a control dynamics deficiency of student, does not have tool and method can guarantee the effect of on-line study.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of and realize downloading, the using method of the fast online education platform of transmission speed that is live and program request.
The object of the invention is to be achieved through the following technical solutions: a kind of using method of online education platform, it comprises following user and selects educational mode step, user data to preserve step, data analysis step:
Described user selects educational mode step to comprise following sub-step: carry out different operations according to user by the educational mode of user terminal selecting:
(1) if user by user terminal selecting be download courseware:
S111: user terminal sends download request to WEB application server;
S112:WEB application server sends request to Video service module, and Video service module receives request and takes out audio, video data from backstage courseware memory module;
S113: whole audio/video flow is cut into the multiple little audio/video flow downloaded by HTTP by Video service module, and is sent to contents distribution accelerating module;
S114: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S115: user receives data by terminal and completes download;
(2) if user is program request by user terminal selecting:
S121: user sends order request to user terminal to WEB application server;
S122:WEB application server sends request to Video service module, and Video service module receives request and takes out audio, video data from backstage courseware memory module;
S123: whole audio/video flow is cut into the multiple little audio/video flow downloaded by HTTP by Video service module, and generates a playlist, is sent to contents distribution accelerating module simultaneously;
S124: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S125: the playlist playing audio-video of user terminal Gains resources; The playlist playing audio-video of user terminal Gains resources completes program request;
(3) if user is live by user terminal selecting:
S131: user sends live request to user terminal to WEB application server;
S132:WEB application server sends request to direct broadcast service module, and direct broadcast service module receives request, and connects with live module;
S133: direct broadcast service module will be sent to contents distribution accelerating module by live streaming medium content;
S134: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S135: user receives live data by user terminal, and undertaken alternately by user terminal and live person;
Described user data is preserved step and is comprised following sub-step:
S21: select after educational mode completes, the result of selection to be sent to database purchase service module by WEB application server and to preserve user; The result of described selection comprises the plan of user and the course of selection;
S22: at every turn carry out in online education terminates, the progress of online education being sent to database purchase service module by WEB application server and preserving user; The content that described progress comprises the current progress of user and completes this week;
S23: when user completes all courses, by the achievement of user, is sent to database purchase service module with the interactive situation of teacher, the scoring to teacher and the evaluation to course and preserves;
Described data analysis step comprises following sub-step:
User data in database purchase service module is sent to data analysis module analysis by S31:WEB application server, obtain the study schedule of user, and produce the capability model of user, check that the ability of user comprises executive capability, overall qualities, elaborative faculty by different quadrant;
S32: the capability model that step S31 obtains by data analysis module and actual conditions carry out negative relational matching, constantly improve capability model algorithm.
The using method of online education platform also comprises a courseware step of updating, and described courseware step of updating comprises following sub-step:
S41: the courseware will uploaded by transcoding compression service device carries out transcoding compression;
The courseware upload that transcoding has compressed by S42:Web upload server is preserved to the courseware memory module of backstage.
A kind of using method of online education platform also comprises a load balancing sub-step: described WEB application server comprises multiple cloud main frame; When user sends request to WEB application server time, load balancing module distributes to cloud main frame automatically according to application rs traffic, and carries out trouble shooting to cloud main frame, if note abnormalities main frame, automatism isolation also switches.
A kind of using method of online education platform also comprises a time synchronized step: local ntp server is connected with WEB application server; By simply to ntp service adjustment, accomplish that the time is synchronous accurately; Described local ntp server adopts high availability redundant framework, avoids the Single Point of Faliure in time synchronized.
It also comprises a dynamic conditioning study plan step: obtain the result of this user and the data of other users according to data analysis module, adjust accordingly in the process of user learning according to actual conditions to study plan.
According to the personal considerations of mass historical data and student, for student formulates study plan, this plan along with the actual learning process of student, and can carry out dynamic conditioning.
The invention has the beneficial effects as follows:
The invention provides a kind of using method of online education platform,
(1) learning process of all-the-way tracking student of the present invention, the process of giving lessons of teacher, can produce mass data in this process, completes what content this week than student, and what kind of plan is, and the interactive what state of teacher; Whether teacher completes scoring, what kind of the foundation of scoring is, student is to the evaluation of course, by these data, we can obtain the study schedule of student, can complete class's rank by study schedule, the more important thing is that we can produce the capability model of student, the ability of student is checked, the executive capability, overall qualities, elaborative faculty etc. of such as student by different quadrant; And mate with the actual conditions of student, the data analysis of capability model algorithm to user can not be improved.
(2) the invention enables user can be selected by the mode of user terminal to online education, comprise download, program request and live; And for the mode of each, all have employed contents distribution accelerating module, by the content that user selects, be distributed to multiple service node, and carry out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data, accelerate data transmission bauds;
(3) courseware memory module in backstage comprises courseware memory module and Courseware Metadata storehouse, preserves all lesson files, comprises all UGC contents, realizes strange land redundancy; And provide HTTP RESTful API and SDK, convenience file manages;
(4) the Video service module described in adopts the mode of audio frequency and video section, whole audio/video flow in the courseware memory module of backstage is cut into the multiple little audio/video flow downloaded by HTTP, and generating a playlist, user terminal only needs the playlist playing audio-video of Gains resources.
Accompanying drawing explanation
Fig. 1 is method flow diagram of the present invention;
Fig. 2 is the block diagram of practical system of the present invention.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail: as shown in Figure 1, a kind of using method of online education platform, it comprises following user and selects educational mode step, user data to preserve step, data analysis step:
Described user selects educational mode step to comprise following sub-step: carry out different operations according to user by the educational mode of user terminal selecting:
(1) if user by user terminal selecting be download courseware:
S111: user terminal sends download request to WEB application server;
S112:WEB application server sends request to Video service module, and Video service module receives request and takes out audio, video data from backstage courseware memory module;
S113: whole audio/video flow is cut into the multiple little audio/video flow downloaded by HTTP by Video service module, and is sent to contents distribution accelerating module;
S114: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S115: user receives data by terminal and completes download;
(2) if user is program request by user terminal selecting:
S121: user sends order request to user terminal to WEB application server;
S122:WEB application server sends request to Video service module, and Video service module receives request and takes out audio, video data from backstage courseware memory module;
S123: whole audio/video flow is cut into the multiple little audio/video flow downloaded by HTTP by Video service module, and generates a playlist, is sent to contents distribution accelerating module simultaneously;
S124: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S125: the playlist playing audio-video of user terminal Gains resources; The playlist playing audio-video of user terminal Gains resources completes program request;
(3) if user is live by user terminal selecting:
S131: user sends live request to user terminal to WEB application server;
S132:WEB application server sends request to direct broadcast service module, and direct broadcast service module receives request, and connects with live module;
S133: direct broadcast service module will be sent to contents distribution accelerating module by live streaming medium content;
S134: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S135: user receives live data by user terminal, and undertaken alternately by user terminal and live person;
Described user data is preserved step and is comprised following sub-step:
S21: select after educational mode completes, the result of selection to be sent to database purchase service module by WEB application server and to preserve user; The result of described selection comprises the plan of user and the course of selection;
S22: at every turn carry out in online education terminates, the progress of online education being sent to database purchase service module by WEB application server and preserving user; The content that described progress comprises the current progress of user and completes this week;
S23: when user completes all courses, by the achievement of user, is sent to database purchase service module with the interactive situation of teacher, the scoring to teacher and the evaluation to course and preserves;
Described data analysis step comprises following sub-step:
User data in database purchase service module is sent to data analysis module analysis by S31:WEB application server, obtain the study schedule of user, and produce the capability model of user, check that the ability of user comprises executive capability, overall qualities, elaborative faculty by different quadrant;
S32: the capability model that step S31 obtains by data analysis module and actual conditions carry out negative relational matching, constantly improve capability model algorithm.
The using method of online education platform also comprises a courseware step of updating, and described courseware step of updating comprises following sub-step:
S41: the courseware will uploaded by transcoding compression service device carries out transcoding compression;
The courseware upload that transcoding has compressed by S42:Web upload server is preserved to the courseware memory module of backstage.
A kind of using method of online education platform also comprises a load balancing sub-step: described WEB application server comprises multiple cloud main frame; When user sends request to WEB application server time, load balancing module distributes to cloud main frame automatically according to application rs traffic, and carries out trouble shooting to cloud main frame, if note abnormalities main frame, automatism isolation also switches.
A kind of using method of online education platform also comprises a time synchronized step: local ntp server is connected with WEB application server; By simply to ntp service adjustment, accomplish that the time is synchronous accurately; Described local ntp server adopts high availability redundant framework, avoids the Single Point of Faliure in time synchronized.
It also comprises a dynamic conditioning study plan step: obtain the result of this user and the data of other users according to data analysis module, adjust accordingly in the process of user learning according to actual conditions to study plan.
According to the personal considerations of mass historical data and student, for student formulates study plan, this plan along with the actual learning process of student, and can carry out dynamic conditioning.
Use system of the present invention: as shown in Figure 2, a kind of online education platform, it comprises transmission module, WEB application server, database purchase service module, Video service module, direct broadcast service module, contents distribution accelerating module, data analysis module and user terminal on backstage courseware memory module, courseware transcoding; Described user terminal sends request to WEB application server, and described request comprises program request, live and download; On described courseware transcoding transmission module by courseware upload to backstage courseware memory module; Described data analysis module, Video service module, direct broadcast service module, database purchase service module are all connected with WEB application server; Described Video service module is connected with user terminal by contents distribution accelerating module; Described direct broadcast service module is connected with user terminal by contents distribution accelerating module; Described backstage courseware memory module and Video service model calling;
On described courseware transcoding, transmission module comprises Web upload server and transcoding compression service device, and courseware is carried out transcoding compression by described transcoding compression service device, and the courseware upload that transcoding has compressed by described Web upload server is to backstage courseware memory module;
Described backstage courseware memory module comprises courseware memory module and Courseware Metadata storehouse, and described courseware memory module preserves all lesson files, comprises all UGC contents, realizes strange land redundancy; Described backstage courseware memory module provides HTTP RESTful API and SDK, and convenience file manages;
The content that user selects by described contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
Described WEB application server comprises multiple cloud main frame, described cloud host process user program request, live and download demand;
The audio frequency and video that user selects are pushed to user terminal by contents distribution accelerating module by the program request that described Video service module reception WEB application server sends or download request; Described Video service module adopts the mode of audio frequency and video section, whole audio/video flow in the courseware memory module of backstage is cut into the multiple little audio/video flow downloaded by HTTP, and generate a playlist, the playlist playing audio-video of user terminal Gains resources;
Described direct broadcast service module receives the live request that WEB application server sends, direct broadcast service module by the live streaming media service of contents distribution accelerating module will be live streaming medium content be sent to user terminal in real time and carry out live, user is undertaken alternately by user terminal and live person; Described direct broadcast service module and live model calling;
Described database purchase service module comprises customer data base storage services module and lesson data library storage service module; Described customer data base storage services module comprises customer data base and user cache module, and described lesson data library storage service module comprises lesson data storehouse and course cache module; The curricular advancement data that described database purchase service module is used for the study situation data of user and this user are learned are preserved, comprise content that user completes this week, user plan, with the scoring of the achievement of the interactive situation of teacher, user, teacher, student to the evaluation of course;
Described data analysis module, by the data analysis in database purchase service module, obtains the study schedule of user, and produces the capability model of user, checks that the ability of user comprises executive capability, overall qualities, elaborative faculty by different quadrant; And carry out negative relational matching according to actual conditions, constantly improve capability model algorithm.

Claims (5)

1. a using method for online education platform, is characterized in that: it comprises following user and selects educational mode step, user data to preserve step, data analysis step:
Described user selects educational mode step to comprise following sub-step: carry out different operations according to user by the educational mode of user terminal selecting:
(1) if user by user terminal selecting be download courseware:
S111: user terminal sends download request to WEB application server;
S112:WEB application server sends request to Video service module, and Video service module receives request and takes out audio, video data from backstage courseware memory module;
S113: whole audio/video flow is cut into the multiple little audio/video flow downloaded by HTTP by Video service module, and is sent to contents distribution accelerating module;
S114: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S115: user receives data by terminal and completes download;
(2) if user is program request by user terminal selecting:
S121: user sends order request to user terminal to WEB application server;
S122:WEB application server sends request to Video service module, and Video service module receives request and takes out audio, video data from backstage courseware memory module;
S123: whole audio/video flow is cut into the multiple little audio/video flow downloaded by HTTP by Video service module, and generates a playlist, is sent to contents distribution accelerating module simultaneously;
S124: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S125: the playlist playing audio-video of user terminal Gains resources; The playlist playing audio-video of user terminal Gains resources completes program request;
(3) if user is live by user terminal selecting:
S131: user sends live request to user terminal to WEB application server;
S132:WEB application server sends request to direct broadcast service module, and direct broadcast service module receives request, and connects with live module;
S133: direct broadcast service module will be sent to contents distribution accelerating module by live streaming medium content;
S134: the content that user selects by contents distribution accelerating module, is distributed to multiple service node, and carries out intelligent control and buffer memory, for user calculates nearest access node, by this node to user terminal to transmit data;
S135: user receives live data by user terminal, and undertaken alternately by user terminal and live person;
Described user data is preserved step and is comprised following sub-step:
S21: select after educational mode completes, the result of selection to be sent to database purchase service module by WEB application server and to preserve user; The result of described selection comprises the plan of user and the course of selection;
S22: at every turn carry out in online education terminates, the progress of online education being sent to database purchase service module by WEB application server and preserving user; The content that described progress comprises the current progress of user and completes this week;
S23: when user completes all courses, by the achievement of user, is sent to database purchase service module with the interactive situation of teacher, the scoring to teacher and the evaluation to course and preserves;
Described data analysis step comprises following sub-step:
User data in database purchase service module is sent to data analysis module analysis by S31:WEB application server, obtain the study schedule of user, and produce the capability model of user, check that the ability of user comprises executive capability, overall qualities, elaborative faculty by different quadrant;
S32: the capability model that step S31 obtains by data analysis module and actual conditions carry out negative relational matching, constantly improve capability model algorithm.
2. the using method of a kind of online education platform according to claim 1, it is characterized in that: it also comprises a courseware step of updating, described courseware step of updating comprises following sub-step:
S41: the courseware will uploaded by transcoding compression service device carries out transcoding compression;
The courseware upload that transcoding has compressed by S42:Web upload server is preserved to the courseware memory module of backstage.
3. the using method of a kind of online education platform according to claim 1, is characterized in that: it also comprises a load balancing sub-step: described WEB application server comprises multiple cloud main frame; When user sends request to WEB application server time, load balancing module distributes to cloud main frame automatically according to application rs traffic, and carries out trouble shooting to cloud main frame, if note abnormalities main frame, automatism isolation also switches.
4. the using method of a kind of online education platform according to claim 1, is characterized in that: it also comprises a time synchronized step: local ntp server is connected with WEB application server; By simply to ntp service adjustment, accomplish that the time is synchronous accurately; Described local ntp server adopts high availability redundant framework, avoids the Single Point of Faliure in time synchronized.
5. the using method of a kind of online education platform according to claim 1, it is characterized in that: it also comprises a dynamic conditioning study plan step: obtain the result of this user and the data of other users according to data analysis module, according to actual conditions, study plan is adjusted accordingly in the process of user learning.
CN201510225781.9A 2015-05-06 2015-05-06 Online education platform using method Pending CN104811743A (en)

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CN105931505A (en) * 2016-06-27 2016-09-07 安徽科成信息科技有限公司 Remote learning mobile terminal
CN105976287A (en) * 2016-07-11 2016-09-28 广东小天才科技有限公司 Video course learning method and system
CN106128181A (en) * 2016-06-27 2016-11-16 安徽科成信息科技有限公司 A kind of Linking All Classes long-distance education study mobile terminal
CN106327930A (en) * 2016-08-26 2017-01-11 安徽天立泰科技股份有限公司 Intelligent education and learning platform
CN106453658A (en) * 2016-12-08 2017-02-22 北京君泰家安科技有限公司 Online education platform
CN106487918A (en) * 2016-11-07 2017-03-08 清华大学 A kind of MOOC system based on edX platform
CN107341982A (en) * 2017-08-25 2017-11-10 宁波灵云科技信息服务有限公司 Improved live teaching broadcast system and method
CN108320251A (en) * 2018-02-06 2018-07-24 广州铁谋信息咨询有限公司 A kind of internet online education management system and its management method
WO2018223530A1 (en) * 2017-06-08 2018-12-13 深圳市鹰硕技术有限公司 Method for monitoring recording and broadcasting data learning based on internet
CN109389536A (en) * 2018-09-26 2019-02-26 深圳市佰释实业有限公司 A kind of teaching methods and system
CN109409829A (en) * 2018-10-14 2019-03-01 苏州道博环保技术服务有限公司 Training Management method and device
CN109727501A (en) * 2019-01-07 2019-05-07 北京汉博信息技术有限公司 A kind of tutoring system

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