KR20190061952A - Customized entrepreneurship learning providing method - Google Patents

Customized entrepreneurship learning providing method Download PDF

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KR20190061952A
KR20190061952A KR1020170160864A KR20170160864A KR20190061952A KR 20190061952 A KR20190061952 A KR 20190061952A KR 1020170160864 A KR1020170160864 A KR 1020170160864A KR 20170160864 A KR20170160864 A KR 20170160864A KR 20190061952 A KR20190061952 A KR 20190061952A
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전정우
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주식회사 디지털존
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Abstract

The present invention provides a method of providing customized business establishment learning, comprising the following steps of: (a) selecting business establishmen items suitable for business establishment inclination of a business establishment applicant by matching business establishment inclination information of the business establishment applicant received from a business establishment applicant terminal with a recommended item for each business establishment inclination of a business establishment information database, and providing the selected recommended business establishment items to the business establishment applicant terminal; (b) if the business establishment applicant selects any one business establishment item among the recommended business establishment items through the business establishment applicant terminal, providing a business establishment training curriculum to the business establishment applicant terminal to open and learn the business establishment training curriculum for the selected business establishment item; (c) calculating learning achievement for the corresponding business establishment inclination by receiving information on the learning achievement for the business establishment training curriculum which the business establishment applicant has completed, from the business establishment applicant terminal; (d) determining a business establishment item recommendation achievement by comparing the calculated learning achievement with learning achievement for the same business establishment inclination stored in the business establishment information database; and (e) correcting the business establishment information database by analyzing the business establishment item recommendation achievement. According to the present invention, since a business establishment item is recommended to a business establishment applicant by considering aptitude and business establishment inclination of the business establishment applicant, it is possible to provide the business establishment applicant with a business establishment guide which is more reliable, and to provide an optimal business establishment training curriculum for the recommended business establishment item.

Description

맞춤형 창업 학습 제공 방법 {Customized entrepreneurship learning providing method} {Customized entrepreneurship learning providing method}

본 발명은 맞춤형 창업 학습제공방법에 관한 것으로, 보다 상세하게는 창업신청자의 창업성향에 따라 창업종목을 추천하고, 이에 따른 창업교육커리큘럼을 제공할 수 있는 맞춤형 창업학습 제공방법에 관한 것으로, 산업통상자원부의 지식서비스산업핵심기술개발사업 중 체험 시뮬레이션을 통한 지식기반 창업학습 및 운영지원 서비스 시스템의 과제를 수행함에 있어 산출된 결과물에 대한 발명이다.The present invention relates to a method of providing personalized entrepreneurship learning, more particularly, to a method of providing personalized entrepreneurship learning, in which an entrepreneur is recommended to start a business according to the entrepreneurial tendency of the entrepreneur and can provide the entrepreneurship education curriculum accordingly. It is the invention of the result produced in carrying out the tasks of knowledge based entrepreneurial learning and operation support service system through experiential simulation among knowledge service industry core technology development project of Ministry of Resources.

최근 컴퓨터 및 생산기기들의 혁명을 통하여 현대사회는 점점 소규모 창업이 증가하는 추세를 띠고 있다. 이러한 소규모 창업은 자본 및 생산기기의 간소화로 인하여 1인 기업과 같이 소수의 인원도 창업이 가능하며, 따라서 젊은 층에서 창업 붐이라고 회자될 정도로 많은 창업이 이루어지고 있으며, 이러한 창업 붐에 발맞추어 다양한 창업교육방법이 시도되어오고 있다. With the recent revolution of computer and production equipment, modern society is becoming increasingly small-scale start-ups. These small start-ups can be started with a small number of people as in the case of a single-person company due to the simplification of capital and production equipment. Thus, many entrepreneurs are being established as young entrepreneurs. Entrepreneurial education methods are being tried.

이러한 창업교육에 대한 기술의 예로 대한민국 공개특허공보 제10-2004-0004336호에는, 창업준비자가 오프라인 또는 인터넷망을 통한 온라인으로 회원 가입하고 운영서버로부터의 창업과 관련된 정보 및 교육을 습득하는 창업준비단계와, 인터넷망을 통해 창업할 업종과 사업 타당성 및 상권을 분석한 후 현장을 답사하여 운영할 점포를 계약하고, 인테리어 및 상품, 직원 선발 등의 점포 운영에 필요한 교육과 함께 투자되는 자금 및 세무관리를 체험하는 창업교육단계와, 웹사이트상에 운영되는 가상 점포에 대해 운영서버가 도매상 또는 고객 역할을 하고, 창업준비자는 오프라인상 점포의 점주와 같이 고객 응대행위를 통해 영업활동을 실습하면서 실제 창업 후의 사업 타당성을 분석하는 점포운영단계를 포함하여, 창업준비자가 온라인 또는 오프라인을 통해 창업에 필요한 각종 정보를 습득하고 온라인상에 가상 점포를 개설하여 일정기간 시뮬레이션을 통한 점포운영을 경험하게 함으로서 실제 창업 시에 앞서 단기간의 실습과 체험으로 사업의 성공률을 높일 수 있는 온라인 시뮬레이션 실습을 통한 창업교육방법이 개시된 바 있다. For example, Korean Patent Laid-Open Publication No. 10-2004-0004336 discloses a technology for entrepreneurship education, in which a preparer for start-up is a member online through an offline or internet network, and is prepared for entrepreneurial education The company will analyze the business types and business feasibility and business scope to be established through the Internet network, and then contract stores to be explored and operate the site. The funds and taxation that will be invested together with training necessary for the operation of stores such as interior and product and employee selection The management server is a wholesaler or a customer for a virtual store operated on a web site, and the business incubator performs a sales activity through a customer response act like a store owner of an offline store. Including the stage of store operation to analyze business feasibility after start-up, This course is designed to enable students to acquire various kinds of information needed for start-up and to open a virtual shop on-line to experience store operation through a simulation for a certain period of time. This enables online simulation training to increase the success rate of business by short- And the method of entrepreneurial education through the

그런데, 이러한 창업교육은 창업신청자의 창업성향 등을 고려하지 않은 것이 대부분이기 때문에, 창업교육 과정에서 창업신청자의 학습유지가 힘들고 성향 및 적성에 맞지 않은 창업종목을 선택함에 따른 창업성공률이 감소하는 문제점이 있었다. However, since most of the entrepreneurship education does not take into consideration the entrepreneurship tendency of the entrepreneur, it is difficult to maintain the learning of the entrepreneur in the entrepreneurial curriculum, and the success rate of entrepreneurship is decreased due to the selection of entrepreneurship .

대한민국 공개특허공보 제10-2004-0004336호Korean Patent Publication No. 10-2004-0004336

본 발명은, 창업신청자의 창업성향을 고려하여 창업신청자에게 최적의 창업종목을 추천하고 추천된 창업종목에 대한 창업교육 커리큘럼을 제공할 수 있는 맞춤형 창업 학습 제공 방법을 제공하는 것을 목적으로 한다. The object of the present invention is to provide a method of providing customized entrepreneurship learning, which can recommend an entrepreneur's optimal entrepreneurship to the entrepreneur in consideration of the entrepreneurship tendency of the entrepreneur and provide the entrepreneurship education curriculum for the entrepreneur entrepreneurs recommended.

본 발명은 창업성향별로 창업종목을 추천하고, 창업종목별 창업교육 커리큘럼을 저장하고 있는 창업정보 데이터베이스를 이용하여 창업신청자에게 맞춤형 창업 학습을 제공할 수 있는 창업 학습 제공 시스템을 이용하여 창업신청자에게 맞춤형 창업 학습을 제공하는 방법에 관한 것으로서, (a) 창업신청자 단말기로부터 수신된 창업신청자의 창업 성향 정보를 상기 창업정보 데이터베이스의 창업 성향별 추천종목에 매칭하여 상기 창업신청자의 창업 성향에 적합한 창업종목들을 선정하고, 선정된 추천 창업종목들을 상기 창업신청자 단말기로 제공하는 단계와, (b) 상기 창업신청자가 상기 창업신청자 단말기를 통하여 추천 창업종목들 중 어느 하나의 창업종목을 선택하면, 선택 창업종목에 대한 창업교육 커리큘럼을 열람 및 학습할 수 있도록 상기 창업신청자 단말기로 창업교육 커리큘럼을 제공하는 단계와, (c) 상기 창업신청자 단말기로부터 상기 창업신청자가 이수한 상기 창업교육 커리큘럼에 대한 학습성취도에 대한 정보를 수신하여, 해당 창업성향에 대한 학습성취도를 산출하는 단계와, (d) 산출된 상기 학습성취도를 상기 창업정보 데이터베이스에 저장된 동일한 창업성향별 학습성취도와 비교하여, 상기 창업신청자의 창업업종 추천 성과를 판단하는 단계와, (e) 상기 창업업종 추천 성과를 분석하여 상기 창업정보 데이터베이스를 수정 하는 단계를 포함하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법 제공한다. The present invention relates to a system and method for providing a start-up learning service to a start-up applicant using a start-up learning providing system capable of offering customized start-up learning to an applicant using a start-up information database storing a start-up education curriculum for each start- (A) matching the entrepreneurial orientation information of the applicant for entrepreneurs received from the entrepreneur applicant terminal with the recommendation item for each entrepreneurial tendency in the entrepreneur information database, and selecting entrepreneurial items suitable for the entrepreneurial tendency of the entrepreneur applicant (B) when the applicant selects one of the recommended entrepreneurial items through the entrepreneur applicant terminal, the selected entrepreneur's terminal is selected for the selected entrepreneurial item To be able to read and learn the entrepreneurship education curriculum, (C) receiving information on learning achievement of the entrepreneurship education curriculum obtained by the applicant for entrepreneurs from the entrepreneur applicant terminal, and calculating an achievement degree of the entrepreneurship tendency (D) comparing the calculated learning achievement with the learning achievement by the same entrepreneurship propensity stored in the entrepreneur information database to determine the entrepreneur's recommendation performance of the entrepreneur applicant; and (e) And analyzing the results to modify the entrepreneur information database.

여기서, 상기 창업 학습 제공 서버는, 창업자의 창업 성공 및 실패 사례의 군집화를 통해 유망 창업업종을 예측하며, 유망 창업업종 중 창업신청자의 창업성향과 프로파일에 기반 하여 유사 창업성향을 갖는 창업신청자의 창업업종들을 선별 분석하고, 상기 창업업종들 각각에 가산치를 부여하여 추천 창업업종들로 선정하는 것이 좋다.Here, the entrepreneurial learning providing server predicts the promising entrepreneurial business through the clustering of entrepreneurial success and failure cases of the entrepreneur, and based on the entrepreneurial tendency and the profile of the entrepreneur applicant in the promising entrepreneurial industry, It is advisable to screen and analyze the sectors and assign them to each of the above-mentioned entrepreneurial sectors and select them as recommended entrepreneurial sectors.

또한, 상기 (a)단계는, 창업신청자의 창업성향을 분석하기 위한 성향분석메뉴를 상기 창업신청자 단말기에 제공하고, 상기 창업신청자가 상기 성향분석메뉴의 각 항목을 선택하여 생성된 상기 창업 성향 정보를 수신하는 것이 바람직하다.The step (a) may further include providing a tendency analysis menu for analyzing the tendency of the entrepreneur to be entrepreneur to the entrepreneur applicant terminal, and the entrepreneur applicant may determine the entrepreneur tendency information generated by selecting each item of the tendency analysis menu .

이때, 상기 성향분석메뉴는, 창업신청자의 고유정보와 경력과 실적을 포함하는 객관적 메뉴와, 관심분야와 평판을 포함하는 주관적 메뉴를 포함하여 이루어지도록 할 수 있다.At this time, the inclination analysis menu may include an objective menu including unique information of the applicant for a start-up, career and achievement, and a subjective menu including a field of interest and reputation.

또한, 상기 학습 제공 서버는, 상기 성향분석메뉴에서 상기 객관적 메뉴와 상기 주관적 메뉴 각각의 항목별 점수를 누적하여 성향지수를 산출하고, 산출된 성향지수를 상기 창업정보 데이터베이스에 저장된 창업성향별 창업종목에 매칭하여 상기 성향지수에 대응하는 창업종목을 선정하여 추천하는 것이 바람직하다.Also, the learning providing server may calculate the propensity index by accumulating the score of each item of the objective menu and the subjective menu in the propensity analyzing menu, and calculate the propensity index based on the propriety menu It is preferable to select an entrepreneur item corresponding to the inclination index and recommend it.

한편, 상기 (b)단계는, 상기 학습 제공 서버가 해당하는 창업종목에 대한 창업교육 커리큘럼을 학습진도별로 구성된 창업학습 정보를 창업신청자 단말기에 제공하여 설정된 학습기간 내에 학습을 수행할 수 있도록 하는 것이 바람직하다.Meanwhile, in the step (b), the learning providing server provides the entrepreneurship education curriculum for the corresponding entrepreneurial item to the entrepreneur applicant terminal, and allows the entrepreneur's terminal to perform the learning within the set learning period desirable.

또한, 상기 (c)단계는, 상기 학습 제공 서버가 각 학습진도별 학습결과들을 수신하여 학습진도별 학습성취도를 각각 산출하고, 상기 학습진도별 상기 학습성취도의 변화와 각 학습성취도의 누적값을 산출하는 것이 좋다.In the step (c), the learning providing server receives the learning results for each learning progress and calculates the learning achievement for each learning progress, and calculates a change in the learning achievement for each learning progress and a cumulative value of each learning achievement It is better to calculate.

또한, 상기 (d)단계에서, 상기 창업 학습 제공 서버는, 산출된 상기 학습성취도를 포함하는 산출데이터와, 상기 창업정보 데이터베이스에 기 저장된 동일한 창업성향에 대한 학습성취도에 대한 설정데이터를 서로 비교 분석하여, 상기 산출데이터가 상기 설정데이터의 설정 오차범위 내 인지를 판단하여 상기 창업업종 추천 성과를 판단하여 상기 창업업종 추천 성과를 판단할 수 있다.Further, in the step (d), the entrepreneurial learning providing server compares the calculated data including the calculated learning achievement with the setting data for the learning achievement with respect to the same entrepreneurial tendency previously stored in the entrepreneurial information database And determining whether the calculated data is within the set error range of the setting data, and determining the recommendation result of the entrepreneur's business type to determine the recommendation result of the entrepreneur's business type.

나아가, 상기 산출데이터가 설정 오차범위를 벗어나면, 상기 성향분석메뉴를 수정할 수 있다.Further, if the calculated data deviates from the set error range, the propensity analysis menu can be modified.

여기서, 상기 수정데이터는, 상기 성향분석메뉴를 구성하는 각 메뉴에 설정된 반영지수가 낮은 항목을 순차적으로 삭제하고, 나머지 항목들을 전체비율로 환산할 수 있다. Here, the correction data may sequentially delete items having low reflection indexes set for the respective menus constituting the propensity analysis menu, and convert the remaining items into a total ratio.

한편, 상기 창업 학습 제공 서버는, 상기 창업신청자 단말기로부터 창업결과에 대한 정보를 수신하여 창업성공률을 산출하여 수집하는 단계를 포함할 수 있다. Meanwhile, the entrepreneurial learning providing server may include a step of receiving information on the entrepreneurial result from the entrepreneur applicant terminal, and calculating and collecting the entrepreneurial success rate.

이렇게 수집된 창업성공률에 따라 상기 창업교육 커리큘럼을 수정하고, 수정된 수정데이터는 상기 창업 학습 제공 서버에 업로딩할 수 있다.The entrepreneurial education curriculum may be modified according to the entrepreneurial success rate thus collected, and the modified entitlement data may be uploaded to the entrepreneurial learning providing server.

여기서, 상기 창업 학습 제공 서버는, 수집된 산출데이터들을 창업성공률에 따라 재배열한 뒤 설정된 창업성공률 이상에 해당하는 모집단의 성공사업자의 학습성취도를 비교 분석하고, 상기 성공사업자의 학습성취도가 공통적으로 낮은 과목에 대하여, 해당 창업종목에 대한 상기 창업교육 커리큘럼으로부터 제외시키는 방식으로 상기 창업교육 커리큘럼을 보정할 수 있다. Here, the entrepreneurial learning providing server rearranges the collected data according to the entrepreneurial success rate, compares and analyzes the learning achievement of the successful entrepreneurs in the population corresponding to the entrepreneurial success rate or more, and determines whether the learning achievements of the successful entrepreneurs are low The curriculum of the entrepreneurial education can be amended in such a manner that the curriculum is excluded from the entrepreneurship education curriculum for the entrepreneurial business.

본 발명에 따른 맞춤형 창업 학습 제공 방법은 다음과 같은 효과를 제공한다.The method for providing customized entrepreneurship learning according to the present invention provides the following effects.

첫째, 창업신청자의 적성 및 창업성향을 고려하여 창업신청자에게 창업종목을 추천하기 때문에 창업신청자로 하여금 보다 신뢰성 있는 창업가이드를 제공할 수 있다.First, considering the aptitude and entrepreneurship of the applicant, the applicant can recommend the entrepreneur to the entrepreneur so that the entrepreneur can provide more reliable entrepreneurial guidance.

둘째, 창업신청자의 창업성향을 고려하여 창업종목을 추천하고 이렇게 추천된 창업종목에 대한 최적의 창업교육 커리큘럼을 제공함으로써 창업신청자에게 최적화된 맞춤형 창업교육을 제공할 수 있으며, 이를 통한 창업성공률을 향상시킬 수 있다. Second, it is possible to provide customized entrepreneurship training optimized for entrepreneur applicants by recommending entrepreneurship in consideration of the entrepreneurship tendency of the entrepreneur and providing the optimal entrepreneurship education curriculum for the entrepreneur entrepreneurs recommended in this way. .

셋째, 창업신청자 성취도의 허용범위를 판단하여 창업성향판단요소를 수정하여 창업 학습 제공 서버가 구축하고 있는 데이터의 신뢰성을 보다 향상시킬 수 있다.Third, it is possible to improve the reliability of the data provided by the entrepreneurial learning providing server by judging the allowable range of the achievement of the entrepreneur applicant and correcting the entrepreneurial tendency determining factor.

도 1은 본 발명의 실시예에 따른 맞춤형 창업 학습 제공 시스템의 개요를 나타내는 도면이다.
도 2는 도 1의 맞춤형 창업 학습 제공 시스템의 비즈니스 아키텍쳐를 나타내는 도면이다.
도 3은 도 1의 맞춤형 창업 학습 제공 시스템의 통합 아키텍쳐를 나타내는 도면이다.
도 4는 도 1의 맞춤형 창업 학습 제공 시스템의 설계를 나타내는 도면이다.
도 5는 도 1의 맞춤형 창업 학습 제공 시스템의 창업신청자(예비창업자)의 창업업종 추천 플로우를 나타내는 도면이다.
도 6은 도 1의 맞춤형 창업 학습 제공 시스템의 창업의사결정 지식베이스의 구조를 나타내는 도면이다.
도 7은 본 발명의 실시예에 따른 맞춤형 창업 학습 제공 시스템의 구성을 나타내는 도면이다.
도 8은 도 1의 맞춤형 창업 학습 제공 시스템을 이용한 맞춤형 창업 학습 제공 방법을 나타내는 절차도이다.
1 is a diagram showing an outline of a customized entrepreneur learning providing system according to an embodiment of the present invention.
FIG. 2 is a diagram showing a business architecture of the customized entrepreneurial learning providing system of FIG. 1. FIG.
3 is a diagram showing an integrated architecture of the customized entrepreneurial learning providing system of FIG.
FIG. 4 is a diagram showing a design of the customized entrepreneurial learning providing system of FIG. 1. FIG.
FIG. 5 is a diagram showing a recommendation flow of a business type of an entrepreneur (preliminary founder) of the customized entrepreneurial learning providing system of FIG. 1;
FIG. 6 is a diagram showing the structure of the entrepreneur decision-making knowledge base of the customized entrepreneurial learning providing system of FIG. 1;
7 is a diagram showing a configuration of a customized entrepreneur learning providing system according to an embodiment of the present invention.
FIG. 8 is a flowchart illustrating a method of providing customized entrepreneurship learning using the customized entrepreneurial learning providing system of FIG. 1;

이하, 첨부된 도면을 참조하여 본 발명의 바람직한 실시예를 상세히 설명하기로 한다. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

먼저, 본 발명의 실시예에 따른 맞춤형 창업 학습 제공 방법을 살펴보기에 앞서, 도 1을 참조하면 상기 맞춤형 창업 학습 제공 시스템은 맞춤형 창업학습 서비스 등을 제공할 수 있는 창업지원 통합 플랫폼을 구축하고 있으며, 창업지원 시스템은 멘토링기반 사업계획 시스템, 실무기반 사업지원시스템, 지식경영 노하우지원 시스템 등 도시된 바와 같은 다양한 콘텐츠를 제공할 수 있다. 1, a customized entrepreneur learning providing system according to an exemplary embodiment of the present invention includes an entrepreneur support integrated platform capable of providing customized entrepreneurship learning services and the like, , The entrepreneurship support system can provide a variety of contents such as the mentoring-based business plan system, the business-based business support system, and the knowledge management know-how support system.

나아가, 도 2 내지 도 4를 참조하면, 상기 맞춤형 창업 학습 제공 시스템지식관리시스템(KMS)을 기반으로 하여 창업준비를 위한 학습지원시스템과 창업실행 및 창업성장에 따른 운영지원시스템을 포함하고, 이러한 통합 아키텍처는 도 3에 나타난 바와 같다. 도면을 참조하면, 맞춤형 창업 학습 제공 시스템은 SAAS형태 클라우드 시스템상에 창업 학습지원 시스템, 창업 운영지원 시스템, 창업 KMS 시스템을 포함하는 창업학습 및 운영지원 플랫폼을 구축하고 있다. 2 to 4, the system includes a learning support system for preparing for start-up based on the customized entrepreneurial learning providing system knowledge management system (KMS) and an operation support system for entrepreneurial execution and entrepreneurial growth. The integrated architecture is as shown in FIG. Referring to the drawings, the customized entrepreneur learning providing system is constructed on the SAAS type cloud system, including the entrepreneur learning support system, the entrepreneur operation support system, and the entrepreneurial KMS system.

도 4를 참조하여 본 발명의 실시예에 따른 맞춤형 창업 학습 제공 시스템은, 창업 학습 제공 서버(10)와, 창업신청자 단말기(20)와, 창업정보 데이터베이스(30)를 포함한다. 4, the customized entrepreneur learning providing system according to the embodiment of the present invention includes a entrepreneur learning providing server 10, a entrepreneur applicant terminal 20, and a entrepreneur information database 30. [

상기 창업 학습 제공 서버(10)는, 창업신청자 단말기(20)로 정보를 수신 및 제공하며, 창업정보 데이터베이스(30)와 연결되어 창업정보 데이터베이스(30)에 저장된 정보들을 라이브러리로 이용하도록 되어 있다. The entrepreneurial learning providing server 10 receives and provides information to the entrepreneur applicant terminal 20 and is connected to the entrepreneurial information database 30 and uses the information stored in the entrepreneurial information database 30 as a library.

상세하게, 상기 창업 학습 제공 서버(10)는, 창업신청자에게 창업성향별로 창업종목을 추천하여 창업신청자에게 맞춤형 창업 학습을 제공할 수 있다(도 5참조). 여기서, 창업종목 추천은 창업자들의 창업 성공 및 실패 사례의 군집화를 통해 유망 창업업종을 예측하고, 이렇게 예측된 유망 창업업종 중 창업신청자의 창업성향과 프로파일에 기반 하여 유사 창업성향을 갖는 창업신청자의 창업업종들을 선별 분석하고, 창업업종들 각각에 가산치를 부여하여 추천 창업업종들을 선정하도록 되어 있다.Specifically, the entrepreneurial learning providing server 10 can provide the entrepreneur with customized entrepreneurial learning by recommending the entrepreneurial item to the entrepreneur with respect to the entrepreneurial tendency (refer to FIG. 5). In this case, recommendation of entrepreneurship is predicted through the clustering of entrepreneurial successes and failure cases of entrepreneurs, and based on the entrepreneurial tendency and profile of the entrepreneurial entrepreneurs, It is required to select the recommended entrepreneurial sectors by screening and analyzing the industries and adding the value to each of the entrepreneurial sectors.

상기 창업신청자 단말기(20)는, 유무선 네트워크를 통하여 창업 학습 제공 서버(10)와 접속되어 창업신청자로 하여금 맞춤형 창업 학습을 제공받을 수 있도록 한다. 여기서, 상기 창업신청자 단말기(20)는 창업 학습 제공 서버(10)로부터 추천된 창업종목에 대한 창업교육 커리큘럼을 열람 및 선택하여 입력할 수 있으며, 이에 대한 정보를 창업 학습 제공 서버(10)로 제공 및 반영할 수 있도록 할 수 있다. 한편, 상기 창업신청자 단말기(20)는 무선 개인 휴대단말기를 포함하여, 웹페이지에 접속할 수 있는 개인단말기 등 다양한 기기를 적용할 수 있다. The entrepreneur applicant terminal 20 is connected to the entrepreneurship learning providing server 10 via a wired / wireless network so that the entrepreneur can receive personalized entrepreneurship learning. The entrepreneur applicant terminal 20 can browse and select the entrepreneurship education curriculum for entrepreneurship recommended by the entrepreneurship learning providing server 10 and input the information to the entrepreneur learning providing server 10 And reflect the results. Meanwhile, the initiator applicant terminal 20 may apply various devices including a wireless personal portable terminal and a personal terminal capable of accessing a web page.

상기 창업정보 데이터베이스(30)는 창업종목별 창업교육 커리큘럼을 비롯하여, 창업성향별 학습성취도와 창업성공률에 대한 데이터 등 맞춤형 창업 학습 제공 시스템을 운영하기 위한 전반적인 데이터 및 정보가 저장되어 있다. 여기서, 상기 창업교육 커리큘럼은 사업아이템 검색, 지식 재산권 확보, 사업타당성분석 등을 포함하는 지식베이스를 가지고 있으며, IR동영상 학습 플랫폼, 학습진도관리, 학습 수료증 등 다양한 학습 콘텐츠를 포함하고 있다.The entrepreneur information database 30 stores general data and information for operating a customized entrepreneurship learning providing system such as an entrepreneurship education curriculum for each entrepreneurial event, data on learning achievement and entrepreneurial success rate for each entrepreneurial tendency. Here, the entrepreneurship education curriculum has a knowledge base including business item search, intellectual property rights, and business feasibility analysis, and includes various learning contents such as an IR video learning platform, learning progress management, and a learning certificate.

이하에서는, 도 5를 참조하여 상기 맞춤형 창업 학습 제공 시스템을 이용한 맞춤형 창업 학습 제공 방법에 대하여 살펴보기로 한다. Hereinafter, a method of providing customized entrepreneurship learning using the customized entrepreneurial learning providing system will be described with reference to FIG.

먼저, 상기 창업 학습 제공 서버는, 창업신청자 단말기로부터 창업신청자의 창업 성향 정보를 수신하고(S10), 수신된 창업 성향 정보를 토대로 추천 창업종목을 선정하여 창업신청자 단말기로 전송하여 제공한다(S20).First, the entrepreneurial learning providing server receives entrepreneurship tendency information of the entrepreneur applicant from the entrepreneur applicant terminal (S10), selects a recommendation entrepreneur business item based on the received entrepreneur tendency information, and transmits it to the entrepreneur applicant terminal (S20) .

한편, 상기 창업 학습 제공 서버는, 창업신청자의 창업성향을 분석하기 위한 성향분석메뉴를 창업신청자 단말기에 제공하고, 이에 창업신청자가 성향분석메뉴의 각 항목을 선택하여 생성된 창업 성향 정보를 수신한다.On the other hand, the entrepreneurial learning providing server provides a tendency analysis menu for analyzing the entrepreneurial tendency of the entrepreneur applicant to the entrepreneur applicant terminal, and receives the entrepreneur tendency information generated by selecting each item of the tendency analysis menu from the entrepreneur applicant .

여기서, 상기 성향분석메뉴는, 객관적 메뉴와 주관적 메뉴를 포함하여 구성되며, 상기 객관적 메뉴는 창업신청자의 객관적 자료 및 창업과 관련된 교육수료 등 창업신청자의 고유정보와 경력과 실적을 포함하고, 주관적 메뉴는, 창업신청자의 관심분야와 주위로부터의 평판과 적성 등을 포함할 수 있으며, 이외 다양한 메뉴가 포함될 수 있다. Here, the inclination analysis menu includes an objective menu and a subjective menu. The objective menu includes unique information of an applicant for a start-up, such as objective data of an applicant for start-up and education completion related to start-up, May include the field of interest of the applicant for the start-up, reputation and aptitude from the surroundings, and various other menus may be included.

상기한 성향분석메뉴의 각 항목에 대하여 창업신청자가 선택하면 이를 통하여 창업 학습 제공 서버는 창업성향별 창업종목을 추천한다. 이에 대하여 살펴보면, 상기 창업 학습 제공 서버의 추천 창업종목 선정은, 창업신청자의 창업 성향 정보를 창업정보 데이터베이스의 창업 성향별 추천종목에 매칭하여 창업신청자의 창업 성향에 적합한 창업종목들을 선정하여 실시된다. When the entrepreneur selects each item in the propensity analysis menu, the entrepreneurship providing server recommends entrepreneurial items by the entrepreneurship tendency. In this regard, the above-mentioned entrepreneurial learning providing server's recommendation start date is selected by matching entrepreneur's tendency information of the entrepreneur to the recommendation item of the entrepreneurial information database in the entrepreneur information database and selecting entrepreneurial items suitable for the entrepreneurial tendency of the entrepreneur.

세부적으로, 상기 학습 제공 서버는, 성향분석메뉴에서 객관적 메뉴와 주관적 메뉴 각각의 항목별 점수를 누적하여 성향지수를 산출하고, 산출된 성향지수를 창업정보 데이터베이스에 저장된 창업성향별 창업종목에 매칭하여 성향지수에 대응하는 창업종목을 선정하여 추천하는 것이 바람직하다. Specifically, the learning and providing server calculates the propensity index by accumulating the score of each item of the objective menu and the subjective menu in the propensity analysis menu, and matches the computed propensity index to the propensity to start the business based on the propensity for entrepreneurship stored in the entrepreneur information database It is desirable to select and recommend entrepreneurial items corresponding to the propensity index.

이렇게 상기 창업 학습 제공 서버가 창업신청자 단말기로 추천 창업종목들을 선정하여 제공하면, 창업신청자는 창업신청자 단말기를 통하여 추천 창업종목들 중 어느 하나의 창업종목을 선택하고, 이러한 선택 창업종목에 대한 정보가 창업 학습 제공 서버로 전송된다.When the entrepreneurial learning providing server selects and provides the recommended entrepreneurial events to the entrant application terminal, the entrepreneur applicant selects one of the recommended entrepreneurial business events through the entrant application terminal, And transmitted to the entrepreneurship learning providing server.

이에 상기 창업 학습 제공 서버는 창업신청자에 의하여 선택된 선택 창업종목에 대한 창업교육 커리큘럼을 창업신청자 단말기로 제공하여 창업신청자가 창업교육 커리큘럼을 열람 및 학습할 수 있도록 한다(S30). The entrepreneur learning providing server provides the entrepreneur education curriculum for the selected entrepreneurial item selected by the entrepreneur applicant to the entrepreneur applicant terminal so that the entrepreneur applicant can browse and learn the entrepreneurial education curriculum (S30).

이때, 상기 학습 제공 서버는 해당하는 창업종목에 대한 창업교육 커리큘럼을 설정된 학습기간 내 시계열에 따라 학습진도별로 구성된 창업학습 정보를 창업신청자 단말기에 제공하여 설정된 학습기간 내에 학습을 수행할 수 있도록 하는 것이 바람직하다.At this time, the learning providing server provides the entrepreneurial education curriculum for the corresponding entrepreneurial event to the entrepreneur's terminal, which is constructed according to the learning progress according to the time series within the set learning period, so that learning can be performed within the set learning period desirable.

이 후, 상기 창업 학습 제공 서버는 창업신청자가 창업교육 커리큘럼을 이수하면, 창업신청자 단말기로부터 창업신청자가 이수한 창업교육 커리큘럼에 대한 학습성취도 및 창업결과에 대한 정보들을 수신하여, 각 학습진도별 학습결과들을 수신하여 학습진도별 학습성취도를 각각 산출하고, 학습진도별 학습성취도의 변화와 각 학습성취도의 누적값을 산출하여 해당 창업성향에 대한 학습성취도와 창업결과를 산출한다(S40).Then, when the entrepreneur learning server completes the entrepreneurship education curriculum, the entrepreneur learning server receives information on the achievement of the entrepreneurship education curriculum and the results of the entrepreneurship obtained by the entrepreneur applicant from the entrepreneur applicant terminal, (S40). The learning achievement of each of the learning progresses is calculated, and the cumulative value of the learning achievements of each learning progress is calculated.

그런 다음, 상기 창업 학습 제공 서버는 산출된 각 진도별 학습성취도와 창업결과(성공률)에 대한 데이터 모두를 포함하는 산출데이터를 분석하고(S50), 산출데이터의 학습성취도 및 창업결과가 창업정보 데이터베이스에 저장된 동일한 창업성향별 학습성취도와 비교하여 창업신청자의 창업업종 추천 성과를 판단한다.Then, the entrepreneurial learning providing server analyzes the calculated data including both the computed learning achievement and the entrepreneurial result (success rate) for each progress (S50), and the learning achievement of the computed data and the entrepreneur result are stored in the entrepreneur information database The results of this study are summarized as follows.

이러한 판단은 산출된 학습성취도를 포함하는 산출데이터와, 창업정보 데이터베이스에 기 저장된 동일한 창업성향에 대한 학습성취도에 대한 설정데이터를 서로 비교 분석하여, 산출데이터가 설정데이터의 설정 오차범위인지를 판단하여 창업업종 추천 성과를 판단한다. 여기서, 상기 오차범위는 성향별 학습성취도의 설정된 제한범위 내 설정데이터에서 상한값 또는 하한값을 기준으로 설정오차값 내의 범위를 나타낸다. This judgment compares the calculated data including the calculated learning achievement with the setting data for the learning achievement of the same entrepreneurial tendency preliminarily stored in the entrepreneur information database to determine whether the calculated data is the setting error range of the setting data We judge the recommendation achievement of business industry. Here, the error range indicates a range within the set error value based on the upper limit value or the lower limit value in the setting data within the set limit of the learning achievement by inclinations.

상기한 창업업종 추천 성과를 분석하여 창업정보 데이터베이스를 설정데이터의 오류 및 수정여부를 판단하고, 이에 따라 설정데이터를 수정 또는 편집하여 업로딩한다(S60).In step S60, the entrepreneur's business performance information is analyzed to determine whether the configuration data is erroneous or corrected, and the configuration data is modified or edited and uploaded.

이러한 설정데이터의 판단에 대하여 상세하게 살펴보면, 우선 상기 창업 학습 제공 서버는, 산출데이터가 설정 오차범위를 벗어난 경우 설정데이터를 수정하도록 수정데이터를 창업정보 데이터베이스에 업로딩한다.The entrepreneur learning providing server uploads the modified data to the entrepreneur information database so as to modify the setting data when the calculated data is out of the setting error range.

가령, 상기 산출데이터가 설정 오차범위를 벗어나면 추천 창업종목에 대한 오류를 점검하고, 이에 수정데이터는 창업 학습 제공 서버에 저장된 창업성향별 창업업종들 각각에 대한 가산치를 변경하여 설정하여 수정데이터를 생성하여 업로딩한다.For example, if the calculated data deviates from the set error range, the error for the recommended entrepreneurial item is checked, and the modified data is set by changing the added value for each of the entrepreneurial businesses classified by the entrepreneurial tendency stored in the entrepreneurial learning providing server, Create and upload.

상기한 바와 같이 상기 창업 정보 데이터베이스는, 창업신청자가 창업 교육 커리큘럼을 수행하는 과정에서 산출된 학습성취도를 설정데이터와 비교 분석하여, 창업신청자의 창업성향 분석오류 또는 창업성향별 추천종목 오류를 판단하고, 오류 판단 시 설정데이터를 피드백하여 업로딩함으로써 설정된 설정데이터의 신뢰성 및 오류를 점검할 수 있도록 하고 창업업종 추천 성과율을 향상시킬 수 있도록 한다. As described above, the entrepreneur information database compares the learning achievement calculated in the course of performing the entrepreneurship education curriculum by the entrepreneur applicant with the setting data to determine an error in analyzing the entrepreneurship propensity of the applicant for the entrepreneur or a recommendation item error per entrepreneur tendency , It is possible to check the reliability and error of the set data set by feeding back the setting data at the time of the error judgment and to improve the recommendation result rate of the business industry.

한편, 상기 창업 학습 제공 서버는, 창업신청자 단말기로부터 창업교육 커리큘럼을 이수하고, 사업진행 후 창업결과에 대한 정보를 수신하여 해당 창업성향에 대한 창업성공률을 수집할 수 있다(S70). Meanwhile, the entrepreneurial learning providing server can collect the entrepreneurial success rate for the entrepreneurial tendency by completing the entrepreneurial education curriculum from the entrepreneur applicant terminal, receiving information on the entrepreneurial result after the business is proceeded (S70).

이렇게 수집된 창업성공률은 창업교육 커리큘럼을 수정할 수 있는 분석자료로 이용되어 분석결과에 따라 창업교육 커리큘럼을 수정할 수 있으며, 수정된 수정데이터는 창업 학습 제공 서버에 업로딩한다(S80).The entrepreneurial success rate thus collected can be used as an analysis data to modify the entrepreneurial education curriculum, and the entrepreneurial education curriculum can be modified according to the analysis result. The modified revised data is uploaded to the entrepreneurial learning providing server (S80).

여기서, 상기 창업 학습 제공 서버는 창업교육 커리큘럼을 수정하기 위하여, 수집된 산출데이터들을 창업성공률에 따라 재배열하여, 설정된 창업성공률 이상에 해당하는 모집단의 성공사업자의 학습성취도를 비교 분석하고, 이러한 성공사업자의 학습성취도가 공통적으로 낮은 과목에 대하여, 해당 창업종목에 대한 창업교육 커리큘럼으로부터 제외시키는 방식으로 창업교육 커리큘럼을 보정할 수 있다. Here, the entrepreneurial learning providing server rearranges the collected data in accordance with the entrepreneurial success rate so as to modify the entrepreneurial education curriculum, compares and analyzes the learning achievement of the successful entrepreneur in the population corresponding to the established entrepreneurial success rate or more, The curriculum for entrepreneurship education can be revised by excluding entrepreneurs' curriculum from the entrepreneurial education curriculum for the entrepreneurial items for subjects in which the achievement level of the entrepreneurs is low.

본 발명은 도면에 도시된 실시예를 참고로 설명되었으나 이는 예시적인 것에 불과하며, 본 기술 분야의 통상의 지식을 가진 자라면 이로부터 다양한 변형 및 균등한 다른 실시예가 가능하다는 점을 이해할 것이다. 따라서, 본 발명의 진정한 기술적 보호 범위는 첨부된 특허청구범위의 기술적 사상에 의하여 정해져야 할 것이다.While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

10 : 창업 학습 제공 서버 20 : 창업신청자 단말기
30 : 창업정보 데이터베이스
10: Entrepreneurial learning providing server 20: Entrepreneur applicant terminal
30: Establishment information database

Claims (10)

창업성향별로 창업종목을 추천하고, 창업종목별 창업교육 커리큘럼을 저장하고 있는 창업정보 데이터베이스를 이용하여 창업신청자에게 맞춤형 창업 학습을 제공할 수 있는 창업 학습 제공 시스템을 이용하여 창업신청자에게 맞춤형 창업 학습을 제공하는 방법에 있어서,
(a) 창업신청자 단말기로부터 수신된 창업신청자의 창업 성향 정보를 상기 창업정보 데이터베이스의 창업 성향별 추천종목에 매칭하여 상기 창업신청자의 창업 성향에 적합한 창업종목들을 선정하고, 선정된 추천 창업종목들을 상기 창업신청자 단말기로 제공하는 단계와;
(b) 상기 창업신청자가 상기 창업신청자 단말기를 통하여 추천 창업종목들 중 어느 하나의 창업종목을 선택하면, 선택 창업종목에 대한 창업교육 커리큘럼을 열람 및 학습할 수 있도록 상기 창업신청자 단말기로 창업교육 커리큘럼을 제공하는 단계와;
(c) 상기 창업신청자 단말기로부터 상기 창업신청자가 이수한 상기 창업교육 커리큘럼에 대한 학습성취도에 대한 정보를 수신하여, 해당 창업성향에 대한 학습성취도를 산출하는 단계와;
(d) 산출된 상기 학습성취도를 상기 창업정보 데이터베이스에 저장된 동일한 창업성향별 학습성취도와 비교하여, 상기 창업신청자의 창업업종 추천 성과를 판단하는 단계와;
(e) 상기 창업업종 추천 성과를 분석하여 상기 창업정보 데이터베이스를 수정 하는 단계를 포함하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
Providing customized entrepreneurship learning to entrepreneurs by using entrepreneurial learning provision system that recommends entrepreneurial events by entrepreneurial orientation and provides customized entrepreneurship learning to entrepreneur applicants by using entrepreneurial information database that stores entrepreneurship education curriculum for each entrepreneurial event. In the method,
(a) selecting entrepreneurial items suitable for the entrepreneurial tendency of the entrepreneur applicant by matching the entrepreneurial orientation information of the entrepreneur applicant received from the entrepreneur applicant terminal to the recommendation item of the entrepreneurial information database in the entrepreneurial information database, Providing the initiator to the applicant terminal;
(b) If the applicant for the start-up selects one of the recommended entrepreneurial entrepreneurs through the entrepreneur applicant terminal, the entrepreneur's applicant terminal can access the entrepreneurial education curriculum so that the entrepreneur's educational curriculum can be read and learned ; ≪ / RTI >
(c) receiving information on an achievement level of the entrepreneurship education curriculum obtained by the entrepreneur applicant from the entrepreneur applicant terminal, and calculating an achievement level of the entrepreneurship tendency;
(d) comparing the calculated learning achievement with the learning achievement of each of the same entrepreneurship tendencies stored in the entrepreneur information database to determine the entrepreneur's recommendation performance of the entrepreneur;
(e) analyzing the recommendation result of the entrepreneur's business to modify the entrepreneur information database.
제 1 항에 있어서,
상기 창업 학습 제공 서버는,
창업자의 창업 성공 및 실패 사례의 군집화를 통해 유망 창업업종을 예측하며, 유망 창업업종 중 창업신청자의 창업성향과 프로파일에 기반 하여 유사 창업성향을 갖는 창업신청자의 창업업종들을 선별 분석하고, 상기 창업업종들 각각에 가산치를 부여하여 추천 창업업종들로 선정하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
The method according to claim 1,
The entrepreneurial learning providing server,
Based on the entrepreneurial tendency and the profile of the entrepreneur applicants in the prospective entrepreneurial sector, the entrepreneur candidates who have a tendency of similar entrepreneurs are selected and analyzed, And selecting one of the recommended entrepreneurial businesses as the recommended entrepreneurial business.
제 2 항에 있어서,
상기 (a)단계는,
창업신청자의 창업성향을 분석하기 위한 성향분석메뉴를 상기 창업신청자 단말기에 제공하고, 상기 창업신청자가 상기 성향분석메뉴의 각 항목을 선택하여 생성된 상기 창업 성향 정보를 수신하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
3. The method of claim 2,
The step (a)
Wherein the tendency analysis menu for analyzing the entrepreneurship tendency of the entrepreneur applicant is provided to the entrepreneur applicant terminal and the entrepreneur applicant receives the entrepreneurship tendency information generated by selecting each item of the tendency analysis menu, Learning delivery method.
제 3 항에 있어서,
상기 성향분석메뉴는,
창업신청자의 고유정보와 경력과 실적을 포함하는 객관적 메뉴와, 관심분야와 평판을 포함하는 주관적 메뉴를 포함하여 이루어지는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
The method of claim 3,
The propensity analyzing menu includes:
An objective menu including unique information of a start-up applicant, a career and an achievement, and a subjective menu including a field of interest and a reputation.
제 4 항에 있어서,
상기 학습 제공 서버는,
상기 성향분석메뉴에서 상기 객관적 메뉴와 상기 주관적 메뉴 각각의 항목별 점수를 누적하여 성향지수를 산출하고, 산출된 성향지수를 상기 창업정보 데이터베이스에 저장된 창업성향별 창업종목에 매칭하여 상기 성향지수에 대응하는 창업종목을 선정하여 추천하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
5. The method of claim 4,
Wherein the learning providing server comprises:
And calculating a propensity index by accumulating the score of each item of the objective menu and the subjective menu in the propensity analysis menu and matching the computed propensity index with the propensity to be found in the propensity to be found in the proprietary information database And a recommendation for recommending a start-up event.
제 5 항에 있어서,
상기 (b)단계는,
상기 학습 제공 서버가 해당하는 창업종목에 대한 창업교육 커리큘럼을 학습진도별로 구성된 창업학습 정보를 창업신청자 단말기에 제공하여 설정된 학습기간 내에 학습을 수행할 수 있도록 하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
6. The method of claim 5,
The step (b)
Wherein the learning providing server provides the entrepreneurial education curriculum for the corresponding entrepreneurial event to the entrepreneur applicant terminal, wherein the entrepreneurial terminal comprises the entrepreneurial learning information configured by the learning progress, so that learning can be performed within the set learning period.
제 6 항에 있어서,
상기 (c)단계는,
상기 학습 제공 서버가 각 학습진도별 학습결과들을 수신하여 학습진도별 학습성취도를 각각 산출하고, 상기 학습진도별 상기 학습성취도의 변화와 각 학습성취도의 누적값을 산출하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
The method according to claim 6,
The step (c)
Wherein the learning providing server receives the learning results for each learning progress and calculates the learning achievement for each learning progress and calculates the change of the learning achievement and the cumulative value of the learning achievement for each learning progress, Delivery method.
제 7 항에 있어서,
상기 (d)단계에서, 상기 창업 학습 제공 서버는,
산출된 상기 학습성취도를 포함하는 산출데이터와, 상기 창업정보 데이터베이스에 기 저장된 동일한 창업성향에 대한 학습성취도에 대한 설정데이터를 서로 비교 분석하여, 상기 산출데이터가 상기 설정데이터의 설정 오차범위 내 인지를 판단하여 상기 창업업종 추천 성과를 판단하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
8. The method of claim 7,
In the step (d), the entrepreneur learning providing server,
Comparing the calculated data including the calculated learning achievement with the setting data for learning achievement with respect to the same entrepreneurial tendency preliminarily stored in the entrepreneur information database to determine whether the calculated data is within the setting error range of the setting data And determining the recommendation result of the entrepreneur's business.
제 8 항에 있어서,
상기 산출데이터가 설정 오차범위를 벗어나면, 상기 성향분석메뉴를 수정하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
9. The method of claim 8,
And if the calculated data is out of the set error range, modifying the propensity analysis menu.
제 9 항에 있어서,
상기 수정데이터는,
상기 성향분석메뉴를 구성하는 각 메뉴에 설정된 반영지수가 낮은 항목을 순차적으로 삭제하고, 나머지 항목들을 전체비율로 환산하는 것을 특징으로 하는 맞춤형 창업 학습 제공 방법.
10. The method of claim 9,
The correction data may include:
Wherein the items having low reflectance indexes set in each menu constituting the tendency analysis menu are sequentially deleted and the remaining items are converted into a total ratio.
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