• 제목/요약/키워드: Learning ecosystem

검색결과 133건 처리시간 0.024초

R-러닝 환경 분석에 관한 연구 (A Study on the Analysis of R-Learning Environments)

  • 이연승;임수진;변선주
    • 로봇학회논문지
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    • 제10권2호
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    • pp.79-89
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    • 2015
  • The purpose of this study was to examine the concept of r-learning based on existing studies of r-learning. It also aimed to analyze r-learning environments in an effort to determine prerequisites for the successful entrenchment of r-learning in material(technology and infrastructure), human(young children and teacher) and institutional(law and policy) aspects. This study intended to suggest some of the right directions for the revitalization of r-learning. In conclusion, the position of r-learning and its interrelationship with related systems in the ecosystem of early childhood education should accurately be grasped to accelerate the integration of r-learning into kindergarten education to maximize the effects of the convergence of the two. Intensive efforts should be made from diverse angles to expedite the spread and enrichment of r-learning.

생태학습장 이용객의 지각된 성과에 의한 만족도 연구 (A Study on User Satisfaction by Perceived Performance of Ecological Learning Center)

  • 박청인;김종해
    • 한국환경과학회지
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    • 제19권8호
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    • pp.1057-1066
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    • 2010
  • An ecological learning center is defined as a place which can establish the correct relationship between human and environment. Human can learn ecosystem and importance of environment throughout observation of nature and participation in program of ecological learning center. The most important aspects of ecological learning center planning are to reflect on user's demand and preservation of ecosystem. The prime goals of this study is to analyze user's characteristics in the Young Wheol Mulmurigol Ecological Learning Center. The second goal of this study is to find out the satisfaction model based on user's perceived performance of each program and facility in the center. For this study, questionnaire survey with 204 individuals was completed. The data from the questionnaire were analyzed statistical method by SPSS. There are several significant results from the study as following First, this ecological learning center as a newly operating facility is used not for educational purpose but for resting and relaxation purpose. It is due to that the most of users in this center are package tourists with historic scenes. Second, user's perceived performance evaluated by 23 attributions of programs and facilities, and these attributions could be classified by 5 factors such as environment friendly design, educational function, preservation of environment, provision of various bio-top and provision of resting area. Third, the user satisfaction model indicates that user satisfaction is depended on various factors such as preservation of environment, provision of various bio-top, provision of resting area. Among these factor affecting the satisfaction, provision of various bio-top is the most influence on user satisfaction.

항로표지 기반의 부착생물 정보 생성에 관한 연구 (A Study on the Generation of Fouling Organism Information Based Aids to Navigation)

  • 이신걸;송재욱;유윤재;정민
    • 해양환경안전학회지
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    • 제29권5호
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    • pp.456-461
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    • 2023
  • 우리나라 해양생태계의 현황을 조사 및 분석하여 해양을 지속하게 이용할 수 있도록 하며 해양생태를 보전하고 관리할 수 있도록 국가 해양생태계 종합조사를 해양수산부의 위탁을 받아 해양환경공단에서 진행하고 있다. 국가 해양생태계 종합조사는 주요 조사정점을 설정하여 한반도 주변 해역의 생태계 변화를 조사하고 있지만, 정점이 연안을 중심으로 설정되어 근해역 등 조사범위 확대가 필요한 실정이다. 한편 해양수산부 항로표지과에서는 항로표지 인양점검 시 부착생물의 사진을 촬영하여 제공함으로써 국가 해양생태계 종합 조사를 지원하고 있지만, 해양환경공단과 협의하여 지정된 등부표에 한해서 부착생물 사진을 제공한다. 이에 항로표지를 국가 해양생태계 종합조사의 정점으로 활용할 수 있도록, 항로표지 및 등부표 인양점검 시 딥러닝 기반의 영상처리 알고리즘을 활용하여 부착생물의 정보를 생성하는 연구를 진행했다. 항로표지를 국가 해양생태계 종합조사의 정점으로 활용한다면 항로표지의 활용 가치를 제고하고 우리나라 근해의 이상 해황 및 생태계 변화를 분석할 수 있는 기초자료로 활용할 수 있다.

머신러닝 기반의 최적 양식장 조건 검색에 관한 연구 (A Study on the Search of Optimal Aquaculture farm condition based on Machine Learning)

  • 강민수;정용규;장두환
    • 한국인터넷방송통신학회논문지
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    • 제17권2호
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    • pp.135-140
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    • 2017
  • 세계 수산시장은 초과 수요적 현상으로 이러한 경향은 지속적으로 가속화 될 것으로 전망하고 있다. 수산물 수요가 증가되는 양식업은 어업과 비교해 볼 때 비교적 적은 자원의 투입으로도 생산량의 조절 및 표준화 등이 가능하여 높은 성과를 얻을 수 있는 산업이다. 그러나 전통적인 양식은 자연재해, 생태계 오염 등 저생산성의 문제점을 안고 있어 최적의 양식장소로 이동할 수 있는 새로운 양식시스템의 개발이 필요하다. 최적의 장소를 찾기 위해서는 온도, 산소 용존량 등 필요한 데이터를 실시간으로 수집하고 분석해야 한다. 데이터 분석은 머신러닝 기반의 K-means 클러스터링 기법을 적용하여 반복된 자기학습으로 언제, 어디로 양식장을 이동할지 스스로 판단할 수 있도록 하였다. 제시한 연구결과가 어류 양식업 종사자에게 적용된다면 최적의 양식장소를 스스로 찾아감으로써 자연재해, 생태계 오염 등 저생산성의 문제점을 해결 할 수 있을 것이다.

문화사회와 에코시스템 (A Culture Society and the Ecosystem)

  • 김화임
    • 비교문화연구
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    • 제26권
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    • pp.73-94
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    • 2012
  • In the present context of systemic global crisis, this paper focuses on a sustainable society. Throughout the World there are vast members of the unemployes. A secure job lasting a lifetime has become more and more rare. Nowadays majority of jobs are part-time or temporary. $Andr{\acute{e}}$ Gorz found a solution in a policy of the progessive reduction in labor time. This is the potential which automated production opens up for a culture society. Nevertheless, Gorz's proposal is based on utopion ideals. This paper focuses on a dynamic force for a culture society, especially art, learning and the third sector. Adrienne Goehler underlines that a culture in the broad sense of the word produces economical and social productivity. In this connection Goehler give attention to 'Cultrual Creatives' and the Creative Class. Cultural creatives are comprised of people who have participated in the process of creating a new culture with enlightened creativity. The Creative Class is a class of workers whose job is to create economic growth through innovation. Creativity is important for a sustainable society. Gore and Rifkin both come close to the ecological thinking. Gore claims that ecosystem of nature have a self-organizing capacity. In this context tried to prove this article that ecosystem is closely connected with a creative environment.

창업 생태계 품질이 창업 성과에 미치는 영향 (Effect of Entrepreneurial Ecosystem Quality on Entrepreneurship Performance)

  • 이은지;조영주
    • 품질경영학회지
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    • 제50권3호
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    • pp.305-332
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    • 2022
  • Purpose: As the public interest in entrepreneurship has been highlighted and entrepreneurship policies have been generated, this study is to construct Entrepreneurship Ecosystem (EE) models which have a significant relationship to national entrepreneurship with quantitative analysis. It aims to provide implications to EE policymakers that which national components are effective in cultivating innovative entrepreneurship and validate its EE quality based on quantitative performance goals. Methods: This study utilizes secondary data, categorized under the PESTLE factor from credible international organizations (WB, UNDP, GEM, GEDI, and OECD) to determine significant factors in the quality of the entrepreneurial ecosystem. This paper uses the Multiple Linear Regression (MLR) analysis to select the significant variables contributing to entrepreneurship performance. Using the AUC-ROC performance evaluation method for machine learning MLR results, this paper evaluates the performance of EE models so that it can allow approving EE quality by predicting potential performance. Results: Among nine hypothesis models, MLR analysis examines that the number of the Unicorn company, Unicorn companies' economic value, and entrepreneurship measured as GEI can be reasonable dependent variables to indicate the performance derived from EE quality. Rather than government policies and regulations, the social, finance, technology, and economic variables are significant factors of EE quality determining its performance. By having high Area Under Curve values under AUC-ROC analysis, accepted MLR models are regarded as having high prediction accuracy. Conclusion: Superior EE contributes to the outstanding Unicorn companies, and improvement in macro-environmental components can enhance EE quality.

How Collaborative Innovation and Technology in Educational Ecosystem Can Meet the Challenges Raised by the 4th Industrial Revolution

  • Lamprini, Kolovou;Brochler, Raimund
    • World Technopolis Review
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    • 제7권1호
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    • pp.2-14
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    • 2018
  • Nowadays, we are standing in front of the $4^{th}$ Industrial Revolution that is featured by a great range of new and advanced technologies that influences all the domains of economies and industries. The great question that this revolution raises is how it can lead to a future that reflects the peoples' common objectives and values on how these advanced technologies can affect the life and transform the economic, social, cultural, and human environment. It is commonly agreed that to be adapted to these changes and needs and shape a society with competitive economies with highly-skilled individuals, we need to encourage innovation, entrepreneurship, new knowledge generation and exchange and true and effective collaboration and communication. In this complex scene, education seems to have a central and critical role on finding new ways of developing expertise and innovation within the existing knowledge procedures, with more and better cooperation between the key players. This paper argues the concepts, opportunities and challenges that are related to the learning ecosystem towards the needs raised by the $4^{th}$ Industrial Revolution. The education is discussed as catalyst but also as carrier of innovation and innovation practices and the basis of a relevant framework is presented that takes into account all the aspects, domains and key players of educational world and interacting domains. Having introduced the ideas of innovation, collaboration and technology advancement in this environment, this paper also presents a real case of practice, focusing on how more than 5.000 schools around Europe succeeded the last four (4) years to implement innovation activities in a collaborative way and under a unique but also flexible pedagogical innovation framework.

디지털 트랜스포메이션을 위한 인공지능 비즈니스 생태계 연구: 다행위자 네트워크 관점에서 (Understanding the Artificial Intelligence Business Ecosystem for Digital Transformation: A Multi-actor Network Perspective)

  • 황윤민;홍성원
    • 경영정보학연구
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    • 제21권4호
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    • pp.125-141
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    • 2019
  • 알파고로 대변되는 딥러닝 기법의 등장으로 인공지능은 기업 경쟁우위 확보를 위한 디지털 트랜스포메이션의 핵심 주제로 급부상했다. 산업 내 인공지능 기반 디지털 트랜스포메이션 방향을 이해하기 위해서는 현재 진행 중인 인공지능 비즈니스 생태계 참여자들 유형 및 활동에 대한 명확한 이해가 선행되어야 한다. 따라서 본 연구는 다행위자 네트워크(Multi-actor network)관점에서 인공지능 비즈니스 생태계 내부와 외부 참여자들의 활동을 분석하고 플랫폼 전략 유형을 규명하였다. 인공지능 비즈니스 생태계 내부 세 개 계층(인프라스트럭처 & 하드웨어, 소프트웨어 & 애플리케이션, 서비스 & 데이터 계층)에서 사업자들은 네 가지 플랫폼 전략 유형으로(기술수직×비즈수평, 기술수직×비즈수직, 기술수평×비즈수평, 기술수평×비즈수직) 인공지능 비즈니스가 진행되고 있다. 인공지능 비즈니스 생태계 외부에는 다섯 행위자들이(사용자, 투자자, 정부 정책가, 학계 등 컨소시엄, 시민단체) 공존 및 지속가능한 인공지능 비즈니스 생태계를 지원하고 있다. 본 연구는 학술적으로 인공지능 비즈니스 생태계 분석 프레임워크 및 인공지능 플랫폼 전략 모델을 제시하였고, 실무적으로 플랫폼 관점의 인공지능 디지털 트랜스포메이션 전략 방향과 지속가능한 인공지능 비즈니스 생태계 조성을 위한 정부, 학계 등의 역할을 제시했다.

Platform Thinking within the Third Generation Science Park Concept: Emerging Cases from Finland and the Netherlands

  • Kakko, Ilkka;Mikkela, Kari
    • World Technopolis Review
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    • 제5권1호
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    • pp.30-46
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    • 2016
  • This paper is intended as an opening of a dialog on how to apply platform thinking in the development of innovation environments. It will briefly describe a new STP (Science and Technology Park) concept called 3GSP (Third Generation Science Park), which is gaining momentum in Finland. The paper explains the fundamental changes that are currently taking place in the global innovation environment and explains why platform thinking is becoming an essential element in ecosystem development. The theoretical background and classifications of platforms are described and the benefits to be gained from STP perspective are highlighted. The paper emphasizes especially the role of so called 'competence platforms' and explains the main characteristics of a fully working competence platform. The role of competence platforms in understanding serendipity and as a fundamental factor in building the team is also highlighted. The paper analyses from STP perspective several practical examples, where platform thinking supports the emergence of new innovation environments, including Urban Mill (Finland) and Meetberlage (Netherlands). The requirements for comprehensive competence platform services are presented and their potential to support community building and therefore ecosystem development is illustrated. This analysis will provide STP practitioners with new models for applying platform thinking and will help to establish co-creation, open innovation and serendipity management practices. The case studies presented will help STP management teams to evaluate the benefits of competence platforms in different contexts.

글로벌 AI 플랫폼 솔루션 서비스와 발전 방향 (AI Platform Solution Service and Trends)

  • 이강윤;김혜림;김진수
    • 한국빅데이터학회지
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    • 제2권2호
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    • pp.9-16
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    • 2017
  • 클라우드 서비스에 기반한 글로벌 플랫폼 솔루션 기업은 인공지능과 빅데이터 서비스를 킬러앱으로 발전시키며 기업의 산업 솔루션을 제공하며 이것은 기업의 비즈니스 밸류 체인에 큰 변화를 가져오게 할 것이다. 제조 생산의 최적화에서 디자인과 마케팅, 유통 등이 중요해 지고 SCM와 고객 데이터가 수평적으로 연결되어 관리가 필요해지면서 기업의 모든 데이터도 하나의 플랫폼을 중심으로 데이터에 기반한 통합을 이루어 기업 의사 결정 모델을 구현하는 방향으로 발전하게 된다. 이러한 변화는 기업의 소셜, 모발 솔루션과 통합되는 디지털 혁신을 리드하고 있다. 또한 기업은 다른 기술 경쟁력을 가진 기업의 기술, 플랫폼 솔루션과 Ecosystem 비즈니스 파트너로 융합하여 새로운 비즈니스 모델을 만들고 산업과 지역의 경계를 넘어 새로운 에코시스템 마켓플레이스를 만들고 있다.

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