KR20210028625A - Transfer and Approval system of knowledge contents which conducts transfer and Approval system of knowledge contents needed to users, and performing method of the same - Google Patents

Abstract

The present invention relates to a knowledge content transfer and payment system for transferring desired knowledge content and settling a payment by a user (40) in a knowledge sharing server platform (10) connected to a network environment (20) or a wireless environment (30), which comprises: a platform production tool (11) for producing all knowledge contents registered in a knowledge sharing server platform (10); a big data analysis system (12) for comprehensively analyzing usage traces of a user (40) for a knowledge content transfer and payment system, and providing the user (40) with feed-back learning; a provider matching system (13) for matching a provider (50) and the user (40) online or offline for learning the knowledge contents; a provider designation system (14) for learning the knowledge contents by designation of the provider (60) by the user (40); an artificial intelligence system (15) for providing the user (40) with preemptive feedback learning with respect to problems expected when learning the knowledge contents; and a payment system (16) using cyber money when transacting all tangible and intangible products distributed in the knowledge sharing server platform (10). The knowledge contents desired by the user are transferred by selection of the user (40) for one of a plurality of learning means, and a payment process between the user (40) and a head office (50), between the head office (50) and the provider (60), or between the user (40), the head office (50) and the provider (60) is performed.

Description

Transfer and Approval system of knowledge contents which conducts transfer and Approval system of knowledge contents needed to users, and performing method of the same}

The present invention relates to a knowledge content delivery and payment system and method for delivering and approving knowledge content for a subject desired by a user in a knowledge sharing server platform, and more particularly, a big data analysis system, a provider matching system, and a provider designation system. Knowledge content that delivers and approves the knowledge content desired by the user on the knowledge sharing server platform, which delivers the knowledge content including subject-learning content under the conditions desired by the user, and the cost is paid to the provider through the cyber money payment system. It relates to the delivery and payment system and method of execution.

The future talent competencies required in the 21st century are critical thinking, communication, collaboration, and creativity. The improvement of these competencies is achieved through the lead participation of students. Education methods delivered vertically by teachers are no longer competitive. So these days, upside-down classes (flip learning), in which students take the initiative, are rapidly spreading. In the existing teaching method, the teacher first conducts concept class and then the students review after completing the example solution, but in flip learning, students first watch the lecture video produced by the teacher at home and study, and then discuss with the students in the classroom. Collaborative learning to be presented takes place. These teaching methods are preferred by students because they induce voluntary participation and increase the efficiency of learning.

However, due to the limitations of time and space, such learning cannot always proceed, and it is difficult for students to solve themselves in high-level learning.

In addition, video lectures provided by online educational institutions are one-way, lack of variety of levels, and are relatively long, so the efficiency of learning is inferior.

In addition, since academy classes are taught by several students together, personalized learning is limited, time and space are limited, and cost is high.

Tutoring has a great advantage of 1:1 tailored learning, but it costs a lot and lacks a systematic online learning system, so there is a lack of online learning linked to learning results analysis and offline, and time and space are limited.

Nowadays, with the development of information and communication technology, almost all students have smartphones, and they can access the Internet over time and space, play various SNS or games, and acquire necessary information immediately. In addition, the Ministry of Education decided to introduce digital textbooks from 2018, which means a drastic change in teaching methods, and more and more smart devices (phones, tablets, laptops, etc.) will be distributed to students.

In terms of software, it is possible to support efficient learning of students by using artificial intelligence and big data using machine learning and deep learning technologies. In other words, by analyzing all the data that students have learned online, they not only support feedback learning by analyzing individual weaknesses, but also artificial intelligence technology grasps the details that students could not recognize, and the best customized learning through preemptive predictions for students. Can provide.

However, by making full use of this ICT environment, anyone can easily create and share subject content, and deliver the knowledge content desired by the user on the knowledge sharing server platform so that students can economically solve the part of their questions or needs beyond time and space. No knowledge content delivery and payment system and execution method have been developed in the past.

KR10-1637905(B1)

The present invention aims to meet the technical necessity required from the background of the above invention.

Specifically, it is an object of the present invention to provide a production tool so that anyone can easily produce and share subject knowledge content, and to provide a cloud system in which all produced contents can be safely stored and utilized at any time.

Another object of the present invention is to remove the boundaries between knowledge and information while trusting and understanding each other while freely communicating with each other, so that anyone with valuable knowledge can teach, and anyone who needs knowledge can learn beyond time and space. In the knowledge sharing server platform that connects to all wired and wireless devices to learn, it provides a knowledge content delivery and payment system and execution method that performs the delivery and approval of the knowledge content desired by the user.

In addition, another object of the present invention is to provide feedback learning by capturing weak areas that the user was not aware of with a big data analysis system, as well as knowledge that provides preemptive feedback learning on anticipated problems using artificial intelligence. It is to provide a knowledge content delivery and payment system and a method for performing the delivery and payment of the knowledge content desired by the user in the shared server platform.

In addition, another object of the present invention is a new payment system because the existing method of paying cash in exchange for content and services traded online has many problems in pre- and post-payment, quality of content and service, refund, etc. It is to provide a knowledge content delivery and payment system and execution method that performs the delivery and approval of the knowledge content desired by the user in a knowledge sharing server platform that satisfies users by developing the system.

The technical problems to be achieved by the present invention are not limited to the above-mentioned problems, and other technical problems that are not mentioned can be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description. There will be.

The knowledge content delivery and payment system according to the present invention for achieving this purpose is to deliver the knowledge content desired by the user 40 in the knowledge sharing server platform 10 connected to the network environment 20 or the wireless environment 30, and A knowledge content delivery and payment system that performs payment, comprising: a platform production tool (11) for producing all knowledge contents registered in the knowledge sharing server platform (10); A big data analysis system 12 that comprehensively analyzes the user's 40 usage traces for the knowledge content delivery and payment system and provides feedback learning to the user 40; A provider matching system 13 for matching the provider 50 and the user 40 online or offline for learning of the knowledge content; A provider designation system 14 for learning knowledge contents by designation of a provider 60 by the user 40; An artificial intelligence system (15) that provides preemptive feedback learning to a user (40) on problems expected during learning of the knowledge content; And a payment system 16 that uses cyber money when transacting all tangible and intangible products distributed in the knowledge sharing server platform 10, and the user 40 selects one of a plurality of learning means. Knowledge content desired by the user is delivered by the payment system 16 between the user 40 and the head office 50, between the head office 50 and the provider 60, or between the user 40 and the head office 50 And a payment process between the providers 60 is performed.

The plurality of learning means are DB contents utilization learning, online 1:1, 1:N real-time learning, offline 1:1, 1:N learning, online Q&A learning, provider-designated learning, and the user mentee explaining the concept of a certain category. If desired, the mentee, who is the user, wants to solve the problem, and it includes the use of content through a peek.

When the DB contents utilization learning is selected by the user 40 for learning of the knowledge contents, the big data analysis system 12 uses the knowledge classification system provided by the knowledge contents delivery and payment system. By analyzing the classified content provided by 60, the number of views, the number of recommendations, the total amount of paid payment, and the three knowledge contents that are higher in the evaluation are extracted and transmitted to the user, and the user 40 uses the transmitted 12 knowledge contents. It is characterized in that after learning by selecting one of the providers 60 and paying the cost.

When the online 1:1, 1:N real-time learning, offline 1:1, 1:N learning is selected by the user 40 for learning of the knowledge content, the knowledge sharing server platform 10 sets the corresponding condition. When the user's registration information is notified to the satisfied providers 60 through a smartphone application, the providers 60 receiving the alarm check the corresponding condition, and the provider 60 who wants to deliver the knowledge content makes an application, and the provider Among the three providers 60, the first application provider 60 is selected and notified to the user through a smartphone application, and the user 40 checks the information on the three providers 60 and then selects one of them to learn and pays the cost. It is characterized by that.

When the online Q&A learning is selected by the user 40 for the learning of the knowledge content, the registration information of the user 40 is sent to the providers 60 meeting the condition in the knowledge sharing server platform through a smartphone application. When notified, the providers 60 receiving the alarm check the corresponding conditions, and the providers 60 who wish to deliver the knowledge content make an application, select three first applicants among the providers, and inform the user through a smartphone application. (40) checks the information on the three providers 60, learns using the knowledge contents sent by the selected three providers 60, and then selects one of the three selected providers and pays the cost. It is characterized.

When the provider-designated learning is selected by the user 40 for learning of the knowledge content, user registration information is notified to the provider 60 through a smartphone, and the provider 60 intends to proceed with the learning under the corresponding condition. If there is no, the user 40 rejects the learning by the provider 60, and if there is a willingness to proceed, the user 40 starts learning by the provider 50 and pays the cost.

The knowledge content delivery and payment execution method for delivering and paying the knowledge content desired by the user in the knowledge sharing server platform according to the present invention is a knowledge sharing server platform 10 connected to a network environment 20 or a wireless environment 30. ) To the knowledge content delivery and payment system that performs the delivery and payment of the knowledge content desired by the user 40 in the knowledge sharing server platform 10, a method of delivering and making payment of the knowledge content desired by the user 40 In the first step, the provider (60) registering the knowledge content in the knowledge sharing server platform (10); A second step in which the user 40 registers needs content in the knowledge sharing server platform 10 and searches for the knowledge content; A third step in which the user 40 receives and learns the knowledge content; And the payment process between the user 40 and the head office 50, between the head office 50 and the provider 60, or between the user 40 and the head office 50 and the provider 60 by the payment system 16 It characterized in that it comprises a fourth step to be performed.

The first step includes a content production step in which knowledge content to be provided using the platform production tool 11 is produced by the provider 60; A registration detail classification designation step in which a registration detail classification is designated by a provider 60 using a knowledge classification table of a knowledge classification system provided by the knowledge content delivery and payment system; A inspection room registration step of registering the knowledge content in a inspection room that inspects the produced knowledge content; And a free or free editing decision step of determining whether to edit or free of charge for the knowledge content registered in the inspection room.

The second step includes creating needs content on the knowledge sharing server platform 10 by the user 40; A registration detail classification designation step of using the knowledge classification table based on the created needs content and designating a registration detail classification by the user 40; And a setting and registration step of setting and registering a learning method, a learning time, and a cost for the knowledge content.

As described above, the present invention analyzes big data occurring in the knowledge sharing server platform to provide the user with optimal personalized learning anytime, anywhere, and specifically describes the learner's learning pattern, problem type, and problem content through artificial intelligence. It has the effect of providing predictive content to each user by analyzing it.

In addition, in the economic and commercial sense of the present invention, it is difficult to guarantee the quality of contents or services that are traded between individuals online, but through communication such as reviews, comments, and evaluations, the quality and integrity of the contents are improved to increase the trust of users. With the cyber money payment system, it has the effect of being able to immediately pay the necessary price at the time of need without any separate procedure.

In addition, the present invention pioneers the era of a full-fledged subject knowledge economy platform by paying for high-quality contents or services so that they want to share their knowledge with others, and in terms of society, minimizing private education expenses through efficient personalized learning anytime, anywhere. It has the effect of returning time to students so that they can further develop their future dreams.

The technical effects of the present invention are not limited to the technical effects mentioned above, and other technical effects not mentioned can be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the description of the claims. There will be.

1 is a flow chart of a knowledge content delivery and payment system that performs delivery and payment of knowledge content desired by a user between a user, a head office, and a provider in a knowledge sharing server platform according to an embodiment of the present invention.
FIG. 2 is a flowchart of cyber money (basket) used at the time of payment of FIG. 1.
3 is a flowchart of a knowledge content delivery and payment system that performs delivery and payment of knowledge content desired by a user between a user and a provider in a knowledge sharing server platform.
4 is a diagram showing seven steps of the knowledge classification system of the present invention.

Hereinafter, preferred embodiments of the present invention in which the object of the present invention can be specifically realized will be described with reference to the accompanying drawings, but this is for easier understanding of the present invention, and the scope of the present invention is limited thereto. It does not become. In addition, in describing the present embodiment, the same name and the same reference numerals are used for the same configuration, and additional descriptions thereof will be omitted.

Prior to the detailed description of each constituent step of the present invention, terms or words used in the present specification and claims should not be construed as being limited to their usual or dictionary meanings, and the inventors will make their own inventions in the best way. In order to explain, based on the principle that the concept of terms can be appropriately defined, it should be interpreted as a meaning and concept consistent with the technical idea of the present invention. Accordingly, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention, and do not represent all of the technical spirit of the present invention. It should be understood that there may be equivalents and variations.

1 is a flow chart of a knowledge content delivery and payment system that performs delivery and payment of knowledge content desired by a user between a user and a head office and a provider in a knowledge sharing server platform according to an embodiment of the present invention, and FIG. It is a flow chart of cyber money (basket) used at the time of payment of 1, and FIG. 3 is a flow chart of a knowledge content delivery and payment system that performs the delivery and payment of the knowledge content desired by the user in the knowledge sharing server platform between the user and the provider to be.

1 to 3, in the knowledge sharing server platform of the present invention, the knowledge content delivery and payment system that performs the delivery and payment of the knowledge content desired by the user is connected to the network environment 20 or the wireless environment 30. In the knowledge content delivery and payment system that performs the delivery and payment of the knowledge content desired by the user 40 in the knowledge sharing server platform 10, the platform production tool 11, the big data analysis system 12, and the provider matching system (13), a provider designation system 14, an artificial intelligence system 15, and a payment system 16.

The platform production tool 11 produces all knowledge contents registered in the knowledge sharing server platform 10.

In order to produce the above-described knowledge content, the platform production tool 11 has a problem bank and a video production function, and the problem bank function includes an item writing/management tool, a question bank DB, a personalization DB, online/offline evaluation, an item selection system, and A test paper production API and a server program that manages the question bank DB are provided, and item content management and multimedia data registration and management are performed, and in connection with the video production function, a video using a tablet monitor and a headset is produced, and knowledge is classified. When the relevant category is designated by linking the system, it is registered immediately.

Regarding the knowledge classification system, FIG. 4 is a diagram showing seven steps of the knowledge classification system of the present invention.

Referring to FIG. 4, the knowledge classification system can provide efficient service only when contents are registered by a detailed knowledge classification system due to the nature of subject knowledge service. For example, it is classified by reflecting the current curriculum. It is classified, but it is also subdivided into classification by type.

The big data analysis system 12 comprehensively analyzes the user's 40 usage traces for the knowledge content delivery and payment system, and provides feedback learning to the user 40.

The provider matching system 13 matches the provider 50 and the user 40 online or offline for learning of the knowledge content.

The provider designation system 14 allows the user 40 to learn knowledge contents by designating the provider 60.

The artificial intelligence system 15 provides preemptive feedback learning to the user 40 on problems expected when learning the knowledge content.

The payment system 16 uses cyber money when transacting all tangible and intangible products distributed in the knowledge sharing server platform 10.

According to the payment system 16, when trading all tangible and intangible products distributed on the platform, as before, when a certain amount is paid by card, non-bankbook, mobile phone, etc., a "basket (1 1,000 won), which is cyber money at the head office, "Basket" is paid according to the amount, and users store the "basket" and use it as a payment method when necessary without a separate payment procedure, and the "basket" that the user, the mentee pays for the content or service, to the provider, the mentor, is 1 After a month, 70% is paid in cash to the mentor at the head office.

This is because the existing payment system for tangible and intangible products related to subject knowledge online is insufficient to solve complex problems arising from non-performance of service, service period, dissatisfaction, and refund. There is a limit to use, and it is necessary because there is an inconvenience of having to pay frequently whenever necessary.

The "basket" can be utilized as follows.

->If a user pays a certain amount to the head office using a general payment system on the platform, a 1,000 won cyber money, "basket," is paid as much as that amount.

-> The user checks the number of "baskets" he/she keeps and pays for content or services with "baskets" when purchasing content or services.

-> Mentors send a "basket" as a gift when rewarding or complimenting their mentees (an alarm is sent to the other person with an emoticon).

-> Mentees can also give gifts to mentees (send an alarm with an emoticon).

->Parents use the goal achievement program to motivate them by registering a "basket" in advance to be paid when a student, who is a user, achieves various goals (in grades, attendance, learning attitude, etc.).

-> Mentees (users, students) can separately manage the “basket” received as a compliment or gift and the “basket” received as a compliment or gift, so that students can purchase cultural vouchers or school supplies at the shopping mall in the platform. .

-> When a mentor registers a content or service for a fee, it registers with the number of "baskets".

-> In exchange for the mentor's content or service, the "basket" contracted by the mentee is processed immediately to the head office, and if the content or service is not provided within the suggested period, it will be refunded to the mentee.

-> If the mentee is not satisfied after learning and receiving content or services, they can select "Pending Payment" within 24 hours. In this case, the content or service will be listed in the settlement room and released to mentors for 10 days for evaluation. After receiving it, we decide to pay in full, pay in part, and refund in full.

-> If there is a movement of the "basket", an alarm is sent to the app to those concerned.

-> Mentors and mentees can always check the status and flow of the "basket" in the app or on the web.

->"basket" mentor "to know" who pays the expense of content and services and mentees who are paid to praise, reward, gift, peek, such as is reflected in the O Bar with other systems represent a class of mentors.

The O Bar with other systems is a mentor rating system by the avatar, and the assessment and career management for knowledge owners to systematically improve the quality of the products and services offered online to effectively mentor (provider) selection of mentees (users) To do this, a 10-level avatar is displayed in front of the mentor's name.

The reason for using the O Bar with other systems, the coursework is because it is linked to various tests, but accuracy is vital verify the quality of the content or services traded online is bad and poor reliability, all data on the mentors and content This is because there is a need for a device that can analyze and display its reliability.

For the grade level, a total of 10 levels are set, the name of the level is used in computer capacity units, and an avatar suitable for the level is produced as follows.

Deca-Hecto-Kilo-Mega-Giga-Tera-Peta-Exa-Zeta-Yota

The rating is determined by the cumulative sum of the number of paid payment "baskets" of all contents registered by the mentor, the number of views, the mentor evaluation result, the number of responses accepted, and the number of content registrations.

Deca->0~10, Hecto->11~100, Kilo->101~1,000, Mega->1001~10,000, Giga->10,001~100,000, Terra->100,001~1,000,000, Peta->1,000,001~10,000,000, Exa ->10,000,001~100,000,000, Zeta->100,000,001~1,000,000,000, Yota ->1,000,000,001~

Regarding the profit structure by payment through the payment system 16, 70% of the amount paid by the user to the provider in the platform is paid to the provider after one month, and 30% is the head office revenue.

If you want to take a peek (a third party sees "Questions and Answers" registered in the DB), pay 1 basket (1,000 won) and pay 35% to the provider and 35% to the user after 1 month, and 30% to the head office. It's revenue.

The reason for allowing the spying is that third-party users with needs for the question can use the content at low cost, thereby securing a large number of platform users and allowing providers to recognize the content as much as possible rather than once. By raising awareness to produce high-quality content, and by distributing revenue equally to the provider to users who registered their needs for the first time, they are encouraged to raise higher-quality questions and be recognized as the subject of the platform and participate in the same way as the provider. Because there is.

Among the above revenues, the revenue from the user's activity includes the revenue from learning that solves the needs registered by the user and the revenue from learning to peek at. Here, the revenue from learning that solves the needs registered by the user registers the needs required by the user. Then, it is the revenue from learning by the conditions and methods registered by the user through the big data analysis system, provider matching system, provider designation system, etc., and the revenue from peer-to-peer learning proceeds first and is stored in the server, such as interactive class videos, Q&A learning, etc. If a third-party user wants to, it is a profit from learning by paying one "basket" (1,000 won).

Next, there are profits from the provider's activities. The profits from this provider's activities are again from online real-time interactive classes, online recruitment and offline classes (O2O model), and contents registered by the provider. It is divided into revenue, revenue from product sales agency necessary for platform learning in connection with hardware (smart phone, tablet pc, headset, tablet monitor, etc.), and revenue from additional value creation.

Here, the revenue from the online real-time interactive class is the revenue generated by registering the lecture content (grade, progress), start time, lecture time, cost, capacity, etc., and then opening a lecture on the platform to inform and promote it to the students of the relevant grade through an app. This is the revenue generated from 1:1, 1:N interactive lessons using the video education system at the designated time by receiving applicants.

Revenue from the above online recruitment and offline classes (O2O model) is the revenue generated by opening a lecture on the platform after specifying the lecture content (grade, progress), place, start time, lecture time, cost, capacity, etc. This is the revenue generated from 1:1, 1:N face-to-face classes at designated locations, by notifying local students through the app and promoting them, accepting applicants.

Revenue from the content registered by the provider is that the user searches for a desired unit through a standard classification table or search, surfs the registered content (concept video, problem solving video, etc.), and includes information, cost, evaluation, and taste of the provider among them. It is the profit from learning by selecting after grasping various information.

In connection with the above hardware (smartphone, tablet pc, headset, tablet monitor, etc.), profits from the product sales agency necessary for platform learning can be obtained by discovering the optimal hardware required when using "Edusam" and allowing the company to create an exclusive banner. This is the revenue from allowing advertisements and receiving sales commissions.

Revenue from the creation of the added value is revenue from derivatives planning related to users.

As mentioned above, the promotion strategy for profit is divided into provider recruitment and user recruitment.

The above provider recruitment,

1) Search marketing through portal sites (Naver, Daum)

*Keyword: Unknown problem, free answer, real-time answer, math answer, math question, problem solving, concept explanation, online academy, online tutoring, subject knowledge, video tutoring, video class, O2O class, math platform

2) Advertising and comment marketing in cafes (school instructors, study rooms, tutoring, etc.)

For example, free start-up of online academies, tutoring, and study rooms, free use of real-time question and answer systems, free use of video lessons, free personal DB construction, free problem writing and video production tools, generating revenue by answering questions, free time Side job

3) Recruitment of college student Alba (profit generation through online answers without time and space restrictions on Alba website, university website, etc., free online tutoring)

4) Free online academy, tutoring, and study room founding on the job search site, academy instructors, tutoring instructors, recruitment of Alba (person, job Korea, worknet, etc.)

It is done through

The above user recruitment,

1) Student events

->Pay 10 virtual currency "baskets" when signing up

-> When signing up for a friend recommendation, 5 “baskets” are given to the recommended friend

-> 1 "Basket" is paid for each comment

It is done through.

Learning using the above DB contents, online 1:1, 1:N real-time learning, offline 1:1, 1:N learning, online Q&A learning, provider-designated learning, when a mentee as a user wants to explain the concept of a certain category Mentee as a user If the user wants to solve the problem, and the knowledge content desired by the user is delivered by the user 40's selection of one of the content usage through a peephole.

The knowledge content is delivered through a database construction step, a big data acquisition step, a paid payment step, and a mentor rating step.

The database construction step is a standard knowledge classification system (subject, school level, grade, major unit) that uses content creation tools (videos, question banks, textbooks, etc.) provided by the knowledge sharing server platform or provides content created by the mentor directly on the platform. This is the step of registering in the Classroom-Small Unit-By Type).

The big data securing step is a step of securing data such as the cumulative number of views, the number of recommendations, the total amount of paid payment, and evaluation of the content when mentees find and learn desired content in various ways on the knowledge sharing server platform.

The paid payment step is a step of pre-purchasing and holding a "basket (virtual currency)" equivalent to 1,000 won per one, and using it as a payment means if necessary.

In the mentor rating step, in order to improve the quality of the content and services that mentors register, and to help mentees select mentors, avatars according to the ratings of 10 levels are given in front of the mentors' names, and the rating is the number of views, the number of recommendations, and the amount of paid payment. , It is a step to determine according to the cumulative total of the number of responses adopted, evaluation, and content registration.

When the DB contents utilization learning is selected by the user 40 for learning of the knowledge contents, the big data analysis system 12 uses the knowledge classification system provided by the knowledge contents delivery and payment system. By analyzing the classified contents provided by 60, the user 40 uses the transmitted 12 knowledge contents by extracting the three knowledge contents that are higher in the number of views, the number of recommendations, the total amount of paid payment, and the evaluation, and sends them to the user. After learning, one of the providers 60 is selected and the cost is paid.

Specifically, for the delivery of knowledge content for the subject when learning using DB contents, user needs content creation -> use standard knowledge classification table and designate detailed classification for registration -> select "DB contents utilization learning" in the learning method -> time setting- >Cost Settings->Registration->Platform Server->Big Data Analysis System->Analysis of Big Data for the Classification->Extraction of the top 3 contents for each of the number of inquiries, number of recommendations, evaluation, and total amount of paid payment -> Send 12 contents to users -> User selects 1 provider after using 12 contents -> Big data, feedback learning is provided in the artificial intelligence system.

When the online 1:1, 1:N real-time learning, offline 1:1, 1:N learning is selected by the user 40 for learning of the knowledge content, the knowledge sharing server platform 10 sets the corresponding condition. When the user's registration information is notified to the satisfied providers 60 through a smartphone application, the providers 60 receiving the alarm check the corresponding condition, and the provider 60 who wants to deliver the knowledge content makes an application, and the provider The first three providers 60 are selected from among the three and inform the user through a smartphone application, and the user 40 checks the information on the three providers 60 and then selects one of them to learn and pays the cost. .

Specifically, when the online 1:1, 1:N real-time learning is performed, the knowledge content delivery for the subject can be done by creating user needs content -> designating the detailed classification to register using the standard knowledge classification table -> learning method "Online 1: 1,1:N real-time learning" selection -> time setting -> cost setting -> registration -> platform server -> provider matching system -> "online 1:1,1:N real-time learning" Notify to a smartphone application -> Apply for a provider to proceed with learning under the applicable conditions -> Select 3 providers for the first application -> Notify providers and users with a smartphone application -> User selects 1 person after checking provider information -> Video training As a system, it is conducted in the order of class->big data, and providing feedback learning in an artificial intelligence system.

For the above offline 1:1, 1:N learning, the delivery of knowledge content on the subject is: User needs content creation -> Use standard knowledge classification table, designate detailed classification to register -> Learn method "Offline 1:1, 1:N learning. ”Selection->Time setting->Cost setting->Registration->Platform server->Provider matching system->“Offline 1:1,1:N learning” Applicable classification Learning progress Notified by smartphone application to registered providers-> Apply for a provider to proceed with the learning under the applicable conditions -> Select the first 3 providers -> Notify the provider and the user with a smartphone application -> The user selects one person after checking the provider's information -> Conducts face-to-face class at the promised place- > Big data and artificial intelligence system in the order of providing feedback learning.

When the online Q&A learning is selected by the user 40 for the learning of the knowledge content, the registration information of the user 40 is sent to the providers 60 meeting the condition in the knowledge sharing server platform through a smartphone application. When notified, the providers 60 receiving the alarm check the corresponding conditions, and the providers 60 who wish to deliver the knowledge content make an application, select three first applicants among the providers, and inform the user through a smartphone application. After checking the information on the three providers 60, 40 learns using the knowledge contents sent by the selected three providers 60, and then selects one of the selected three providers and pays the cost.

Specifically, for the delivery of knowledge content on the subject during the online Q&A learning, user needs content creation -> use standard knowledge classification table, designate a detailed classification to register -> select "online Q&A learning" in the learning method -> time setting -> cost Settings->Registration->Platform Server->Provider Matching System->"Online Q&A Learning" Classified Learning Progress Notified by smartphone application to registered providers -> Apply for a provider to proceed with learning under the conditions -> First 3 providers Selection -> Notify the provider and the user with a smartphone application -> The user checks the provider's information and then selects one person -> Conducts face-to-face classes at the promised place -> Big data, and provides feedback learning in the artificial intelligence system. .

When the provider-designated learning is selected by the user 40 for learning of the knowledge content, user registration information is notified to the provider 60 through a smartphone, and the provider 60 intends to proceed with the learning under the corresponding condition. If there is no, the user 40 rejects the learning by the provider 60, and if there is a willingness to proceed, the user 40 starts learning by the provider 50 and pays the cost.

Specifically, for the delivery of knowledge content for the subject during the provider-designated learning, user needs content creation -> use standard knowledge classification table, designate a detailed classification to register -> select "provider-designated learning" in the learning method -> time setting -> cost Settings->Registration->Platform Server->Provider Matching System->Notify the provider of the user's registration conditions through a smartphone application->The provider decides whether to proceed with the learning under the conditions->Proceed with the class under the conditions->Big Data is provided in the order of feedback learning in the artificial intelligence system.

If the user, the mentee, wants to explain the concept of a certain category, designate the category required by the app or the web -> Set the period -> Set paid, free -> Set the number of eggs (virtual currency) if paid -> Registration -> Deliver information to mentors who have registered the category through the app -> Confirmation notification to the first two mentors who have requested to create and send content by viewing this information -> Notify the mentee of the confirmed mentor's information and acceptance confirmation- >The big data analysis system of the headquarters extracts the top two concept lecture videos from the number of harmonics, the number of recommendations, and the total amount of paid payment among the contents of the category and sends them to the corresponding mentee to the app -> The responses of the two confirmed mentors are also sent to the mentee- >If the mentee does not select the content they are satisfied with within 24 hours after receiving it, all content will be distributed at 1/N to the mentor -> 70% of the payment amount will be paid by the head office to the mentor after one month. When selecting a reservation, the process of payment and non-payment is determined according to the result of more than half of the payment and non-payment according to the result of selection of payment reservation -> registration in the payment reservation section -> 10 days evaluation of mentors and mentees -> Here, the content adopted when setting for free Provided mentors are given 3 points to raise their ratings, and 1 point is given to all answers that are not accepted.

If the above user, the mentee, wants to solve the problem, the mentee uses the production tool provided by the head office or creates content directly -> designate the relevant category from the standard category provided by the company in an app or web -> set a period -> set a fee, set free of charge- > In the case of a fee, determine the number of'Al (virtual currency') -> Registration -> Deliver information through the app to mentors who have registered the category -> Confirm this information to the first three mentors who applied to create and send content Notification -> Notification of confirmed mentor information to the mentee -> The mentee selects one of the answers within 24 hours after receiving the transmission and pays the cost, or if not satisfied, selects the payment reservation -> If the mentee does not select content that is satisfied within 24 hours All contents are distributed at 1/N to mentors -> 70% of the payment amount is paid to the mentor after one month at the head office. >10 days evaluation of mentors and mentees->Payment and non-payment decisions are made according to the result of more than half of the results Here, 3 points to raise the rating are given to the mentor who provided the content that was selected for free and not adopted. One point is awarded for all answers that are not answered.

In the case of using the contents through spying, the mentee enters the spying room -> select the category required by using the standard category provided by the head office -> select a concept, problem solving -> the number of views, recommendations, and The top 10 contents by paid payment are extracted from the big data analysis system and provided so that the answers cannot be viewed -> See the contents of the question content and the mentor's information, and if desired, pay 1'Al' (1,000 won), a virtual currency. ->Use of answer content -> One (1,000 won) paid'Al' goes through a process of payment at 50:50 to the mentor and mentee who answered questions and answers about the content one month later.

In addition, payment between the user 40 and the head office 50, between the head office 50 and the provider 60, or between the user 40 and the head office 50 and the provider 60 by the payment system 16 The process is carried out.

On the other hand, in the knowledge sharing server platform according to the present invention, the knowledge content delivery and payment system that performs the delivery and payment of the knowledge content desired by the user includes a knowledge registration system, a user needs registration system, and a knowledge delivery system, a knowledge evaluation system, And a learning management system (LMS).

As shown in FIG. 3, the knowledge registration system is, as shown in FIG. 3, knowledge content production (using platform production tool, self-production) -> designation of the 7th stage of the platform knowledge classification system -> registration of the inspection room (review and evaluation of the head office and mentors) -> Yu · Free, editable or negative designation (if paid, the amount is designated) -> Knowledge registration is performed through the process of registration on the knowledge sharing server.

The user needs registration system above is the creation of needs content (using platform production tools, self-production) -> designating the 7th stage of the platform knowledge classification system -> designating learning method, paid/free, time (if paid, specifying the amount) -> mentor designation ·Nothing (Search for mentors registered for the classification) -> Register user needs through the process of registering in the knowledge sharing server.

The knowledge transfer system includes a video education system, a big data analysis system 11, a mentor matching system, and a mentor designation system.

The video education system makes it possible to provide education through interactive writing, voice, and video in 1:1 or 1:N of pc: pc, tablet, smart phone or tablet: tablet, smart phone.

The big data analysis system 12 includes the number of inquiries for all contents registered in the knowledge sharing server, the number of answers, paid payment, mentor evaluation, content evaluation, and content registration status. It is a system that comprehensively analyzes all traces.

The mentor matching system performs mentor/mentee information registration, but specifies the service scope (using the knowledge classification system), designates the learning method, designates the fee and free (when designating a fee, the amount is specified when registering the content), and designates the time. Analyzes the registered needs and sends the mentee's information to mentors who meet the conditions through the app and the web, and confirms the first three mentors who applied for it, and informs the mentor and the mentee, and the mentee sees the mentor's information and sends one person. When selected, it is a system that matches the mentor to proceed with the corresponding service.

In the mentor designation system, the mentee creates needs content (using a platform production tool, self-produced) and performs 7 steps of the platform knowledge classification system, learning method, paid/free, and time designation (if paid, the amount is designated), and then searches for mentors. When a specific mentor is designated through the system, the mentor is notified, and the mentor sees the conditions, decides whether to proceed, and informs the mentee of the results.

The knowledge evaluation system allows mentors to evaluate by linking five-step evaluation tables (upper, upper-middle, middle, middle-lower, lower) to all the content uploaded to the inspection room in order to register the content produced by the mentors, and the mentees learn. When finished, 5 steps (high, middle, middle, middle, low) are linked so that the mentor can be evaluated in the last step, and the evaluation results are reflected in the mentor rating.

The LMS is a system that manages overall academic affairs including grades, progress, evaluation, analysis, attendance, and membership registration in connection with various systems.

Hereinafter, a method of delivering and making payment of knowledge content for performing delivery and payment of knowledge content desired by a user in the knowledge sharing server platform according to the present invention will be described.

The knowledge content delivery and payment execution method for delivering and paying the knowledge content desired by the user in the knowledge sharing server platform according to the present invention is a knowledge sharing server platform 10 connected to a network environment 20 or a wireless environment 30. ) To the knowledge content delivery and payment system that performs the delivery and payment of the knowledge content desired by the user 40 in the knowledge sharing server platform 10, a method of delivering and making payment of the knowledge content desired by the user 40 In the first step, the provider (60) registering the knowledge content in the knowledge sharing server platform (10); A second step in which the user 40 registers needs content in the knowledge sharing server platform 10 and searches for the knowledge content; A third step in which the user 40 receives and learns the knowledge content; And the payment process between the user 40 and the head office 50, between the head office 50 and the provider 60, or between the user 40 and the head office 50 and the provider 60 by the payment system 16 It includes a fourth step that is performed.

The first step includes a content production step in which knowledge content to be provided using the platform production tool 11 is produced by the provider 60; A registration detail classification designation step in which a registration detail classification is designated by a provider 60 using a knowledge classification table of a knowledge classification system provided by the knowledge content delivery and payment system; A inspection room registration step of registering the knowledge content in a inspection room that inspects the produced knowledge content; And a step of determining whether or not to edit the knowledge content registered in the inspection room for free or free of charge, or whether or not to edit the knowledge content. The knowledge sharing server platform performs delivery and payment of the knowledge content desired by the user in the knowledge sharing server platform. .

The second step includes creating needs content on the knowledge sharing server platform 10 by the user 40; A registration detail classification designation step of using the knowledge classification table based on the created needs content and designating a registration detail classification by the user 40; And a setting and registration step of setting and registering a learning method, a learning time, and a cost for the knowledge content. The knowledge sharing server platform performs delivery and payment of the knowledge content desired by the user.

The third step is DB content utilization learning, online 1:1, 1:N real-time learning, offline 1:1, 1:N learning, online Q&A learning, provider-designated learning, and the mentee who is a user wants to explain the concept of a certain category. If the mentee as the case user wants to solve a problem, and when the user 40 selects one of content usage through a peek, the knowledge content desired by the user is delivered; And learning the transmitted knowledge content.

In the fourth step, when trading all tangible and intangible products distributed on the platform, if a certain amount is paid by card, bankbook, mobile phone, etc. as in the past, the head office will pay the cyber money "basket (1 1,000 won)" to the corresponding amount. Users keep the “basket” and use it as a payment method if necessary without a separate payment procedure, and the “basket” paid by the mentee to the mentor in exchange for content or service is mentored 70% in cash after one month. Including the step of paying to the head office.

Although it has been described above with reference to the drawings according to the embodiments of the present invention, it is possible for those of ordinary skill in the art to perform various applications, modifications and adaptations within the scope of the present invention based on the above contents. will be. Accordingly, the true scope of protection of the present invention should be determined only by the appended claims.

10: Knowledge Sharing Server Platform
11: Platform production tool
12: Big data analysis system
13: Provider matching system
14: Provider designation system
15: artificial intelligence system
16: Payment system
20: Network environment
30: wireless environment
40: user
50: Head office
60; Provider

Claims (6)

In the knowledge content delivery and payment system that performs the delivery and payment of the knowledge content desired by the user 40 in the knowledge sharing server platform 10 connected to the network environment 20 or the wireless environment 30,
A platform production tool 11 for producing all knowledge contents registered in the knowledge sharing server platform 10;
A big data analysis system 12 that comprehensively analyzes the user's 40's usage traces for the knowledge content delivery and payment system, and provides feedback learning to the user 40 by capturing a weak point that the user was not aware of;
A provider matching system 13 for matching the provider 50 and the user 40 online or offline for learning of the knowledge content;
A provider designation system 14 for learning knowledge content by designating a provider 60 by the user 40;
An artificial intelligence system (15) that provides preemptive feedback learning to a user (40) on problems expected during learning of the knowledge content; And
Including a payment system 16 using cyber money when transacting all tangible and intangible products distributed on the knowledge sharing server platform 10,
The knowledge content desired by the user is delivered by the user 40's selection of one of the plurality of learning means,
By the payment system 16, the payment process between the user 40 and the head office 50, between the head office 50 and the provider 60, or between the user 40 and the head office 50 and the provider 60 is Is performed,
Knowledge registration system that registers knowledge contents produced using platform production tools to the knowledge sharing server ; User needs registration system that registers the needs content produced using the platform production tool to the knowledge sharing server ; Knowledge transfer system ; Knowledge evaluation system; LMS, which is a system that manages overall academic affairs including grades, progress, evaluation, analysis, attendance, and member registration in connection with the knowledge registration system, the user needs registration system, the knowledge transfer system, and the knowledge evaluation system. learning management system), and an avatar system indicating the level of the provider,
The knowledge transfer system includes a video education system and a mentor matching system,
The video education system enables education through interactive writing, voice, and video in 1:1 or 1:N of pc: pc, tablet, smart phone or tablet: tablet, smart phone,
The mentor matching system performs mentor/mentee information registration, but specifies the service range (using the knowledge classification system), designates a learning method, designates a fee or free (when designating a fee, the amount is designated at the time of content registration), and specifies a time period. Analyzes the registered needs and sends the mentee's information to the mentors meeting the conditions through the app and the web, and confirms the first 3 mentors who applied for it, and informs the mentor and the mentee, and the mentee sees the mentor's information and sends one. When selected, it is a system that matches the mentor to proceed with the service.
The "egg" paid by the provider in exchange for the contents and services and the "basket" paid by the user for praise, reward, gift, and spying are reflected in the avatar system,
The avatar system is a provider rating system based on avatars. In order to improve the quality of products and services provided online by systematically evaluating knowledge holders and managing careers, and to efficiently select a provider by users, 10 ratings in front of the provider name Display the avatar of the stage,
The rating step is determined by the cumulative sum of the number of paid payment "baskets" of all contents registered by the provider, the number of inquiries, the results of the provider evaluation, the number of responses adopted, and the number of content registrations.
In order to produce the above-described knowledge content, the platform production tool 11 has a problem bank and a video production function, and the problem bank function includes an item writing/management tool, a question bank DB, a personalization DB, online/offline evaluation, an item selection system, and It has a test paper production API and a server program that manages the question bank DB, performs item content management and multimedia data registration and management, and in connection with the video production function, it produces a video using a tablet monitor and a headset, and By linking the knowledge classification system that subdivides the process into classification by type, if you designate the corresponding category, it is registered immediately,
The knowledge evaluation system allows mentors to evaluate by linking five-step evaluation tables (upper, upper-middle, middle, middle-lower, and lower) to all content uploaded to the inspection room in order to register the content produced by mentors, and mentees learn. When finished, 5 steps (high, middle, middle, middle, low) are linked to the evaluation table so that the mentor can be evaluated in the last step, and the evaluation result is reflected in the mentor grade.
According to the payment system 16, when trading all tangible and intangible products distributed on the platform, as before, when a certain amount is paid by card, non-bankbook, mobile phone, etc., a "basket (1 1,000 won), which is cyber money at the head office, "Basket" is paid according to the amount, and users keep the "basket" and use it as a payment method when necessary without a separate payment procedure, and the "basket" that the user, the mentee, paid for the content or service, to the provider, the mentor, is 1 Knowledge content delivery and payment system that the head office pays 70% of the time in cash to the mentor. The method of claim 1,
The plurality of learning means are DB contents utilization learning, online 1:1, 1:N real-time learning, offline 1:1, 1:N learning, online Q&A learning, provider-designated learning, and the user mentee explaining the concept of a certain category. If desired, if the user, the mentee wants to solve the problem, and the knowledge sharing server platform, characterized in that it includes the use of the content through peephole, the delivery of knowledge content that performs the delivery and payment of the knowledge content desired by the user and Payment system. The method of claim 2,
When the DB contents utilization learning is selected by the user 40 for learning of the knowledge contents, the big data analysis system 12 uses the knowledge classification system provided by the knowledge contents delivery and payment system. By analyzing the classified content provided by 60, the number of views, the number of recommendations, the total amount of paid payment, and the three knowledge contents that are higher in the evaluation are extracted and transmitted to the user, and the user 40 uses the transmitted 12 knowledge contents. A knowledge content delivery and payment system that performs delivery and payment of knowledge content desired by a user in a knowledge sharing server platform, characterized in that one of the providers 60 is selected and paid after learning. The method of claim 2,
When the online 1:1, 1:N real-time learning, offline 1:1, 1:N learning is selected by the user 40 for learning of the knowledge content, the knowledge sharing server platform 10 sets the corresponding condition. When the user's registration information is notified to the satisfied providers 60 through a smartphone application, the providers 60 receiving the alarm check the corresponding condition, and the provider 60 who wants to deliver the knowledge content makes an application, and the provider Among the three providers 60, the first application provider 60 is selected and notified to the user through a smartphone application, and the user 40 checks the information on the three providers 60 and then selects one of them to learn and pays the cost. A knowledge content delivery and payment system that performs delivery and payment of knowledge content desired by a user in a knowledge sharing server platform. The method of claim 2,
When the online Q&A learning is selected by the user 40 for the learning of the knowledge content, the registration information of the user 40 is sent to the providers 60 meeting the condition in the knowledge sharing server platform through a smartphone application. When notified, the providers 60 receiving the alarm check the corresponding conditions, and the providers 60 who wish to deliver the knowledge content make an application, select three first applicants among the providers, and inform the user through a smartphone application. (40) checks the information on the three providers 60, learns using the knowledge contents sent by the selected three providers 60, and then selects one of the three selected providers and pays the cost. A knowledge content delivery and payment system that performs delivery and payment of knowledge content desired by a user in a knowledge sharing server platform. The method of claim 2,
When the provider-designated learning is selected by the user 40 for learning of the knowledge content, user registration information is notified to the provider 60 through a smartphone, and the provider 60 intends to proceed with the learning under the corresponding condition. If there is no, the user 40 rejects the learning by the provider 60, and if there is a willingness to proceed, the user 40 starts learning by the provider 50 and pays a cost. Delivery and payment system.

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