• 지식경영연구
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• 제4권2호
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• pp.55-77
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• 2003

In this study, some issues that are related to embody the original conception and ideal of action learning are explored in terms of misunderstanding and misuse of action learning in Korean corporate context. The conception of action learning is deconstructed through the lens of 'action' and 'learning' concept, followed by conceptual analysis to the nature of 'action' and 'learning'. Based upon this conceptual deconstruction of 'action' and 'learning', this study is conducted to categorize the concept of 'action' and 'learning' into several representative attributes. Categorization of 'action' and 'learning' leads to draw some adjectives, for examples, reflective, dynamic, complex, nonlinear, that are critical for characterizing action learning. That is, the nature and ideal of action learning are critically reviewed with the reconceptualization of 'action' and learning, which are deconstructed. The Discussion of final thoughts is on what kinds of knowledge perspectives action learning holds in comparison with those of knowledge management and on how to facilitate knowledge construction and sharing with action learning.

• 한국멀티미디어학회논문지
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• 제20권11호
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• pp.1793-1802
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• 2017

In the recent years, IT and Network Technology has rapidly advanced environment in accordance with the needs of the times, the usage of the smart learning service is increasing. Smart learning is extended from e-learning which is limited concept of space and place. This system can be easily exposed to the various security threats due to characteristic of wireless service system. Therefore, this paper proposes the improvement methods of smart learning system security by use of faults analysis methods such as the FTA(Fault Tree Analysis) and FMECA(Failure Mode Effects and Criticality Analysis) utilizing the consolidated analysis method which maximized advantage and minimized disadvantage of each technique.

• 디지털산업정보학회논문지
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• 제15권2호
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• pp.19-28
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• 2019

The purpose of this study is to examine the trends on machine learning and deep learning research in the published journals from the Web of Science Database. To achieve the study purpose, we used the abstracts of 20,664 articles published between 1990 and 2017, which include the word 'machine learning', 'deep learning', and 'artificial neural network' in their titles. Twenty major research topics were identified from topic modeling analysis and they were inclusive of classification accuracy, machine learning, optimization problem, time series model, temperature flow, engine variable, neuron layer, spectrum sample, image feature, strength property, extreme machine learning, control system, energy power, cancer patient, descriptor compound, fault diagnosis, soil map, concentration removal, protein gene, and job problem. The analysis of the time-series linear regression showed that all identified topics in machine learning research were 'hot' ones.

• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2021년도 학술논문집
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• pp.37-44
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• 2021

이 연구는 지능형학습시스템에서 학습활동을 분석하는 전략에 대한 것이다. 이를 위해 지능형학습시스템에 대한 개념정의와 지능형학습시스템을 이용하는 학습 유형을 분석하였다. 학습유형으로는 개인형, 적응형, 역량중심, 블랜디드 학습으로 제시하였으며 4가지는 약간의 차이가 있지만 대부분 유사한 성격을 가지고 있다. 또한 학습활동 분석은 시스템에서 생성되는 마우스 클릭, 키보딩, 업로드 등의 데이터가 기본이 된다. 이를 통해 시청시간, 업로드 횟수 등의 기초적인 분석을 수행할 수 있다. 하지만 개인화, 적응형을 위해서는 보다 다양한 학습 분석이 필요하다. 그것은 학습태도, 성취도 수준뿐만 아니라 메타인지 수준, 창의력 수준등을 판단할 수 있다. 그런데 메타인지 등의 수준은 복잡한 인간의 인지활동을 포함하고 있기 때문에 지능형학습시스템의 판단에 교사의 개입이 필요하다.

• 수산해양교육연구
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• 제26권1호
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• pp.156-165
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• 2014

The purpose of this study was to find research trends of smart learning. For this, we identified the research's characteristics such as the subject or keyword of research, method, data collection, and statistical analysis method. The 2,865 articles published from 1995 to 2013 were gathered from five Korean academic journals related to smart learning. Among them, research keyword, areas, research method, data collection method, and statistical analysis method were analyzed on 596 papers. The findings of this study were as follows: (a) Smart learning papers such keyword likes u-learning, m-learning, and smart-learning were emerging after 2006. Smart learning papers with ICT related topics were highly increased after 2000, but they were decreased after 2006. Smart learning papers with e-learning related keywords were steadily increased after 2000 through 2013. (b) The research field of deign had the highest portion in smart learning research, but managing had the lowest portion. (c) Development was mainly used as a research method. Both questionnaire and experiment were mainly used for collecting data methods. T-test and frequency analysis were mainly used as statistical analysis methods.

• 대한안전경영과학회지
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• 제14권2호
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• pp.193-204
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• 2012

This paper deals with an empirical analysis of the structural relationship among the factors such as quality management activities, organizational learning and firm performance of manufacturing corporations. The findings of the analysis are expected to make lots of contribution to manufacturing corporations establishing strategies for quality management activities and organizational learning. From the analysis, following conclusions and suggestions could be drawn: First, an analysis of the relationship between quality management activities and organizational learning showed that most activities of quality management turned out to exercise great influence upon the factors of organizational learning. This means that the activities of quality management will prompt the members of an organization to actively engage in learning activities individually, by team and organizationally, motivating them to spread such activities across the whole organization, leading ultimately to fundamental renovation of the very organization. Second, from an analysis of the relationship between organizational learning and firm performance, that is, financial and non-financial performances of a company, it was found that most factors of organizational learning have tremendous impact upon financial and non-financial performances of the company. Such result implies that decision and management of the things to be performed in the process of organizational performances are essential to determining firm performance because firm performance depend largely on the outcomes of organizational learning.

• 복식문화연구
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• 제18권1호
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• pp.161-176
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• 2010

This study attempts to develop e-learning contents for the "fashion information analysis," which should be performed in combination of theory and practice in fashion education, in a recent Web-based education environment. The e-learning contents are developed by using the three steps of analysis, design and development. In order to analyze the requirements of curricula, the status and content of fashion information related curricular provided by general universities and cyber universities are analyzed, and then on the basis of this analysis the education objectives and detailed contents of e-learning contents are determined. Design and development of e-learning contents consist of the types, education menus and education form. The types of e-learning contents are developed into an education form combined with tutorial and practice/activity types. The education menus are comprised of syllabic, the profiles of professors and students, announcements, questions and answers regarding respect subjects, materials, and notes. Meanwhile, the education form consists of the following sections: "Before the Learning", "Learning", "Review Questions", "Final Review", "References", and "Practice", "Before the Learning" consists of two parts of a theory lecture that is composed of video clips and Power-Point presentations, and practice that consists of an audio(or video) lecture and illustration or Photoshop software execution window.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1059-1065
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• 2020

In hospitals, nurses are subjectively determining the urine status to check the kidneys and circulatory system of patients whose statuses are related to patients with kidney disease, critically ill patients, and nursing homes before and after surgery. To improve this problem, this paper proposes a urine spectrum analysis system which clusters urine test results based on a hybrid machine learning model consists of unsupervised learning and supervised learning. The proposed system clusters the spectral data using unsupervised learning in the first part, and classifies them using supervised learning in the second part. The results of the proposed urine spectrum analysis system using a mixed model are evaluated with the results of pure supervised learning. This paper is expected to provide better services than existing medical services to patients by solving the shortage of nurses, shortening of examination time, and subjective evaluation in hospitals.

• 한국초등과학교육학회지:초등과학교육
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• 제33권1호
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• pp.140-161
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• 2014

The purpose of this study was to analyze 181 papers about brain-based learning appeared in domestic scientific journals from 1989 to May of 2012 and suggest application conditions in elementary science education. The results of this study summarizes as follows; First, learning activity suggested by brain-based learning study is mainly explained by working of brain function. Learning activity explained by brain-based learning study are divided into 'learning according to specialized brain function, learning according to brain function integration and learning beyond specialization and integration of hemispheres'. Second, it searched how increased knowledge of brain structure and function affects learning. Analysis from this point of view suggests that brain-based learning study affects learning in many ways especially emotion, creativity and learning motivation. Third, brain-based learning study suggests various possibilities of learning activity reflecting brain plasticity. Plasticity which is one of most important characteristics of brain supports the validity of learning activity as learning disorder treatment and explains the possibility of selective increment of brain function by leaning activity and the need of whole-brain approach to learning activity. Fourth, brain-based learning brought paradigm shifts in education field. It supports learning sophistication on the understanding of student's learning activity, guides learning method that reflects the characteristics of subject and demands reconstruction of curriculum. Fifth, there are many conditions to apply brain-based learning in elementary science education field, learning environment that fits brain-based learning, change of perspectives on teaching and learning of science educators and development of brain-based learning curriculum are needed.

• 디지털융복합연구
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• 제15권6호
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• pp.97-105
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• 2017

본 연구에서는 교수의 핵심역량과 대학생의 인지역량 및 생애역량의 구조적 분석을 위해 전국 7개 대학의 대학생 500명을 대상으로 빈도분석, 기술통계분석, 신뢰도 분석, 상관분석과 확인적 요인분석, 구조방정식모형 분석을 실시하였다. 연구결과, 교수의 핵심역량은 대학생의 생애역량에 유의한 영향을 미치는 것을 알 수 있었으며, 교수의 핵심역량은 대학생의 인지역량에 유의한 영향을 미치는 것을 알 수 있었다. 또한 대학생의 인지역량은 생애역량에 유의한 영향을 미치는 것을 알 수 있었으며, 대학생의 인지역량은 교수의 핵심역량과 대학생의 생애역량 사이에서 유의한 매개효과가 있음을 확인할 수 있었다. 이는 교수의 핵심역량이 대학생의 인지역량을 기반으로 생애역량에 더 많은 영향을 준다고 할 수 있다.