• 제목/요약/키워드: Learning support

검색결과 2,917건 처리시간 0.03초

공조직에서의 BSC의 효과적인 운영 (An effective operation of Balanced Scorecard(BSC) in Public Organizations)

  • 김진환
    • 경영과정보연구
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    • 제27권
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    • pp.71-99
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    • 2008
  • This study investigates the relationships between three BSC communication attributes(support of organizational culture, message valid, and knowledge sharing) and organizational learning and how that translates into relationship organizational performance in public organization. In this paper, first, past studies on BSC communication and organizational learning that identify the attributes of effective communication and organizational learning in organizational performance are reviewed. Second, a research model, key variables, and three hypotheses tested by PLS(partial least squares) are presented. The data was collected from BSC champions and managers of 53 public organizations in Korea. The results indicate, first, BSC communication (except for support of organizational culture) have not significant related to organizational performance. Therefore, H1 was not supported. Second, the structural path coefficient between support of organizational culture and message valid and organizational learning are statistically significant and in the hypothesized direction. But the knowledge sharing has not significant relationship with organizational learning. Therefore, H2 was partially supported. Third, organizational learning was significantly positively related to organizational performance. H3 was supported. Finally, organizational learning play a significantly positive role in mediating the relationship between BSC communication and organizational performance. The theoretical contributions, limitations, as well as future research directions are discussed at the end of the paper.

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Concurrent Support Vector Machine 프로세서 (Concurrent Support Vector Machine Processor)

  • 위재우;이종호
    • 대한전기학회논문지:시스템및제어부문D
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    • 제53권8호
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    • pp.578-584
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    • 2004
  • The CSVM(Current Support Vector Machine) that is a digital architecture performing all phases of recognition process including kernel computing, learning, and recall of SVM(Support Vector Machine) on a chip is proposed. Concurrent operation by parallel architecture of elements generates high speed and throughput. The classification problems of bio data having high dimension are solved fast and easily using the CSVM. Quadratic programming in original SVM learning algorithm is not suitable for hardware implementation, due to its complexity and large memory consumption. Hardware-friendly SVM learning algorithms, kernel adatron and kernel perceptron, are embedded on a chip. Experiments on fixed-point algorithm having quantization error are performed and their results are compared with floating-point algorithm. CSVM implemented on FPGA chip generates fast and accurate results on high dimensional cancer data.

신장암 표준임상빅데이터 구축 및 머신러닝 기반 치료결정지원시스템 개발 (Constructing a Standard Clinical Big Database for Kidney Cancer and Development of Machine Learning Based Treatment Decision Support Systems)

  • 송원훈;박미영
    • 한국산업융합학회 논문집
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    • 제25권6_2호
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    • pp.1083-1090
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    • 2022
  • Since renal cell carcinoma(RCC) has various examination and treatment methods according to clinical stage and histopathological characteristics, it is required to determine accurate and efficient treatment methods in the clinical field. However, the process of collecting and processing RCC medical data is difficult and complex, so there is currently no AI-based clinical decision support system for RCC treatments worldwide. In this study, we propose a clinical decision support system that helps clinicians decide on a precision treatment to each patient. RCC standard big database is built by collecting structured and unstructured data from the standard common data model and electronic medical information system. Based on this, various machine learning classification algorithms are applied to support a better clinical decision making.

U-러닝을 위한 SCORM기반의 학습콘텐츠 상호연결 프레임워크 설계 (A Design of SCORM based on Learning Contents Interconnection Framework for U-Learning)

  • 정화영;김윤호
    • 한국항행학회논문지
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    • 제13권3호
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    • pp.426-431
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    • 2009
  • 최근 이러닝의 적용은 학습자에게 보다 편하고 효율적으로 학습을 진행할 수 있는 방법으로 변화되고 있다. 이를 위하여 PDA, 넷북, 타블렛 PC등의 이동형 기기를 통해 학습을 지원할 수 있는 U-러닝의 적용 연구가 활발히 진행되고 있다. 그러나 많은 U-러닝 프레임워크에서는 학습 콘텐츠 제작 및 처리 규격인 SCORM을 고려하지 않고 기존의 학습 콘텐츠를 이동형 기기에 맞도록 변환하는 처리만을 고려하고 있다. 본 연구에서는 SCORM을 고려한 U-러닝 학습콘텐츠 상호연결 프레임워크를 제시하였다. 이를 위하여 SCORM에서 제공하는 학습객체, 애셋 등을 통해 학습을 구성하고, 학습자의 이동형 기기 메타데이터를 통하여 해당 이동형 기기에 맞는 학습 콘텐츠로 재구성된 학습정보를 학습자에게 제공할 수 있도록 하였다.

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프랑스학 교육 분야의 디지털 학습지원 매체 활용에 관한 연구 (A Study on the Utilization of Digital Learning Support Tools in the Field of French Studies Education)

  • 김연주
    • 문화기술의 융합
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    • 제9권5호
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    • pp.685-695
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    • 2023
  • 이 연구는 프랑스학 교육 분야에서 디지털 학습지원 매체가 실제적으로 어떻게 적용되고 있는지 활용 현황을 파악하고 시사점을 도출하여 향후 연구 방향을 모색하는 데 목적을 두었다. 이를 위해 프랑스학 교육 분야에서의 학습 과정별 디지털 매체가 어떻게 활용되었는지 검토하였으며, 최근 대두되고 있는 챗GPT의 활용은 외국어와 교육분야까지 확장하여 학습에 직접적 적용 현황을 확인하였다. 이상의 문헌 검토 결과, 첫째, 프랑스학 교육 분야에서는 디지털 학습지원 매체의 적용은 다소 제한적이었다. 주로 '온라인 수업 매체', '수업 전 학습', '효율적 학습 및 상호작용' 그리고 '자기주도적 학습'의 과정에 디지털 학습지원 매체를 선별적으로 활용하고 있는 것으로 나타났다. 특히 교수·학습 과정에서 '효율적 학습 및 상호작용'을 위하여 다양한 디지털 학습지원 매체가 활용되는 현황을 확인할 수 있었다. 둘째, 챗GPT의 경우, 프랑스학 교육 분야에서는 아직 연구가 진행되지 않은 것으로 나타났으며, 타 교육 분야에서 학습 과정의 실제적 적용에 관한 매우 소수의 연구가 진행되고 있었다. 챗GPT는 교수·학습자료의 개발과 학습 전 과정 및 평가, 그리고 학습자의 자기주도적 학습 측면 등 활용범위가 매우 넓고 학습자들의 긍정적 효과가 보고되었지만, 정보의 질, 출처 및 신뢰도 등의 측면에서는 윤리적 문제점도 함께 보고되고 있었다. 따라서 향후 국내 프랑스학 교육 분야에서는 이를 바탕으로 대학의 교수·학습 상황에 적합한 교육적 적용 및 그 효과 검증 그리고 디지털 학습지원 매체와 범 학문적 융합의 방향으로 이루어져야 할 필요가 있다.

COMPARATIVE ANALYSIS ON MACHINE LEARNING MODELS FOR PREDICTING KOSPI200 INDEX RETURNS

  • Gu, Bonsang;Song, Joonhyuk
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제24권4호
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    • pp.211-226
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    • 2017
  • In this paper, machine learning models employed in various fields are discussed and applied to KOSPI200 stock index return forecasting. The results of hyperparameter analysis of the machine learning models are also reported and practical methods for each model are presented. As a result of the analysis, Support Vector Machine and Artificial Neural Network showed a better performance than k-Nearest Neighbor and Random Forest.

조직의 지식창출에 대한 학습조직의 구조적 특성 및 학습자 특성의 효과 : 인지된 조직지원의 조절효과 (The Effects of Learning Organization, Learner's Characteristics on Organizational Knowledge Creation: The Role of Perceived Organizational Support as A Moderator)

  • 조윤형;최우재
    • 지식경영연구
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    • 제12권1호
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    • pp.17-37
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    • 2011
  • This paper is aimed at investigating the influence of the learning organization's structural characteristics, learner's characteristics, and perceived organizational support (POS) on organizational knowledge creation. also the POS is tested as a moderator on the relationship between learner's characteristics including learning goal orientation and learning self-efficacy and organizational knowledge creation. the results are as follows. for main effect hypotheses, both connecting the organization to its environment and establishing systems to capture and share learning system representing learning organization's structural characteristics have significant positive impact on organizational knowledge creation. the POS also has a significant impact on organizational knowledge creation. However, learning goal orientation and learning self-efficacy have not significant impact on organizational knowledge creation. for moderating effect hypothesis, POS moderates the relationship between learning goal orientation and organizational knowledge creation, which means if the POS is high then learning goal orientation has more significant positive impact on it. Based on our findings, we conclude that structural characteristics of learning organization provide organizations with an opportunity of knowledge creation. in particular, interconnectedness of organization with environment and organizational knowledge sharing systems determine the ways of behaving that are related to learning within organizations. however, learner's characteristics did not have a significant effect on organizational knowledge creation, which could be interpreted due to the fact that employees are not motivated to create new knowledge if they are rarely required to involve challenging works, generate new knowledge, or share preexisted knowledge with others.

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기업 이러닝시스템 성과에 대한 이해관계자 인식 부합 관점의 연구 (Consensus of Corporate e-Learning System Stakeholders Regarding the Satisfaction of End-Users)

  • 김재식;양희동;엄혜미;김재경
    • Asia pacific journal of information systems
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    • 제15권4호
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    • pp.27-60
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    • 2005
  • The purpose of this study is to call attention to the consensus of stakeholders of corporate e-Learning system for the sake of its success. We identified the critical success factors(contents, technical features, management, and organizational support) as major components of corporate e-Learning systems and questioned whether stakeholders' consensus on the importance of these components facilitates the successful implementation of these components. We also questioned whether the influence of these components on user satisfaction could be moderated by contextual factors. Based on empirical testing of 18 e-Learning user companies, we verified that the consensus of stakeholders regarding the importance of content, technological features, and organizational support has a positive influence on the perceived quality of these factors in their e-Learning systems, which in turn is positively related to user satisfaction. The learning subjects and learning style did significantly moderate the influences of these perceived qualities on user satisfaction.

Collaborative Learning Agent for Promoting Group Interaction

  • Suh, Hee-Jeon;Lee, Seung-Wook
    • ETRI Journal
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    • 제28권4호
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    • pp.461-474
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    • 2006
  • This project aims to design and develop a prototype for an agent that support online collaborative learning. Online collaborative learning, which has emerged as a new form of education in the knowledge-based society, is regarded as an effective method for improving practical and highly advanced problem-solving abilities. Collaborative learning involves complicated processes, such as organizing teams, setting common goals, performing tasks, and evaluating the outcome of team activities. Thus, a teacher may have difficulty promoting and evaluating the entire process of collaborative learning, and a system may need to be developed to support it. Therefore, to promote interaction among learners in the process of collaborative learning, this study designed an extensible collaborative learning agent (ECOLA) for an online learning environment.

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해양경찰공무원의 학습전이풍토가 교육훈련의 전이효과에 미치는 영향 (The Effect of the Learning Transfer Climate of Korea Coast Guard on the Learning and Learning Transfer)

  • 이승현;윤성현
    • 시큐리티연구
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    • 제51호
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    • pp.61-78
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    • 2017
  • 이 연구는 해양경찰 조직의 학습전이풍토가 교육훈련의 전이효과에 미치는 영향을 경험적으로 검증하고 이를 바탕으로 전이효과를 높이기 위한 정책적 제언을 목적으로 수행되었다. 이를 위해서 해양경찰교육원의 협조를 받아 해양경찰교육원에 입교한 해양경찰 공무원 526명을 대상으로 설문을 실시하였다. 먼저 선행연구를 바탕으로 학습전이풍토의 하위요인 상사의 지원, 동료의 지원, 조직의 변화가능성을 독립변수로 설정하여 회귀분석을 실시하였다. 그 결과 상사의 지원이 높을수록, 동료의 지원이 높을수록, 조직의 변화가 능성이 높을수록 교육훈련의 전이효과가 높아지는 것으로 나타났다. 이러한 연구결과를 바탕으로 교육훈련 설계에 있어 실무자와 감독자의 참여, 장기적인 교육계획의 수립 등을 교육훈련의 전이효과를 높일 수 있는 방안으로 제시하였다. 이 연구는 판단적 표집을 사용하여 연구결과를 전체 해양경찰관에 대해 일반화하는데 일정한 한계가 있으나 해양경찰을 대상으로 조직의 학습전이풍토가 교육훈련에 미치는 영향에 대하여 최초로 경험적 연구를 수행하였고 교육훈련의 전이효과를 높이기 위한 정책적 제언을 했다는 점에서 연구의 의의가 있다고 할 것이다.

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