• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2007년도 추계학술대회
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• pp.311-317
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• 2007

This study introduces 2007 criteria of Malcom Baldridge National Quality Award (MBNQA) for performance excellence. Baldridge criteria is composed of the seven categories such as leadership, strategic planning, customer and market focus, measurement, analysis, and knowledge management, workforce focus, process management, and results. Moreover this paper proposes various integrated systems with MBNQA.

• 한국학교보건학회지
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• 제22권1호
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• pp.129-143
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• 2009

An evaluation in school education systems should identify what students achieve and what they do not. Since 2010, if the health education curriculum is provided as a selective course in middle and high school settings, the national health education standards are required because these affect on students' applications of a higher stage of education. It would be better that each school follows their autonomy to evaluate each student's achievement on the health education. In addition, the national health education standards should be set to assess the effectiveness of seven categories in health education. It is hard to achieve good results through 17 hours of the health education per a semester. Therefore, the health education would be better to provide more than 50 hours per a semester, and the 3th graders instead of 5th graders are suitable for taking the health education because they are more flexible to change their lifestyle toward healthier life. There are two categories in the health education, such as "Mental Health" and "Society and Health" which are expanded from originally seven categories of the health education. Moreover, professional training programs for school nurses should be provided because these two categories are relatively a new domain for them. Finally, all elementary middle and high schools have a school nurse to decrease inequal opportunities of the health education between urban and rural area. When these suggestions are all set in school systems, our students' health behaviors will be improved as well as the effectiveness of the health education.

• 한국도서관정보학회지
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• 제48권4호
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• pp.21-47
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• 2017

이 연구는 최근 주목을 받고 있는 인공지능에 관한 사회적 담론에 어떤 주제적인 특성이 있는지를 분석하는 것을 목적으로 한다. 우리 사회에 알파고 충격이 있었던 2016년부터 2017년 6월까지, 18개월 간 조선일보와 한겨레에 보도된 신문기사를 분석대상의 텍스트로 선정하였다. 전체 525건의 신문기사에 나타난 1,210건의 메시지들에 대해 주제범주를 코딩하였다, 구분한 주제는 7개 대범주, 62개 중범주, 그리고 하위의 소범주 주제들로 구성되었다. 인공지능의 담론을 구성하는 대범주는 AI 연구, AI 적용영역, AI기업(사업), AI 시대, AI 쟁점, 알파고 사건, AI 기타의 주제들로 파악되었다. 대범주로 코딩된 메시지들의 내용을 대상으로 세부적인 주제분석을 시도하였으며, 그 결과로 나타나는 주요한 특성은 다음과 같다. 첫째, 인공지능 담론을 구성하는 주제범주의 범위와 내용이 다양하고 복잡하였다. 둘째, 안전하고 유용한 인공지능을 구현하기 위해서는 일자리 소멸의 문제, AI의 오류나 오용에 따른 부작용의 문제 등과 같은 사회정책적인 쟁점들의 해결이 중요하다. 셋째, 인공지능의 시대에서 인간의 역할, 적합한 인재양성을 위한 교육체제의 혁신도 난이도가 높은 쟁점들이다.

• 지역사회간호학회지
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• 제23권3호
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• pp.244-255
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• 2012

Purpose: This study was to describe and develop the female university students' healthy dieting. Methods: The data were collected from 9 female students sampled from two universities. The grounded theory of Strauss and Corbin (1990) was applied. Results: As a result, 40 concepts, 16 subcategories, and seven categories were deduced from open coding. Emerged seven major categories were as followings: (1) Recognizing of general health condition, (2) Try to actively participate on social activities, (3) Searching for continuous healthy exercising methods, (4) Utilizing of social support system for healthy dieting, (5) Making an individual healthy rhythms, (6) Exhibiting abilities of self-control, (7) Charging self-confidences. The periods of process were divided into 4 stages, the phase of facing self-health, the phase of searching living conditions, the phase of developing individual strategies, and the phase of forming self-confidence. The core variable, "discovering self competencies" incorporated the relationship between and among all categories and explained the process. Conclusion: This study had described the process of healthy dieting of female university students in Korea. These findings have important implications for health promotion of the female university students and can be utilized as material for developing health programs.

• 전자공학회논문지B
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• 제33B권10호
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• pp.120-129
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• 1996

This paper presents an efficient block segmentation and classification using the edge information of the document image. We extract four prominent features form the edge gradient and orientaton, all of which, and thereby the block clssifications, are insensitive to the background noise and the brightness variation of of the image. Using these four features, we can efficiently classify a document image into the seven categrories of blocks of small-size letters, large-size letters, tables, equations, flow-charts, graphs, and photographs, the first five of which are text blocks which are character-recognizable, and the last two are non-character blocks. By introducing the clumn interval and text line intervals of the document in the determination of th erun length of CRLA (constrained run length algorithm), we can obtain an efficient block segmentation with reduced memory size. The simulation results show that the proposed algorithm can rigidly segment and classify the blocks of the documents into the above mentioned seven categories and classification performance is high enough for all the categories except for the graphs with too much variations.

• Asian Journal of Innovation and Policy
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• 제9권1호
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• pp.56-78
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• 2020

Changes in our lives due to Artificial Intelligence (AI) are currently ongoing, and there is little refutation of the effectiveness of AI. However, there have been active discussions to minimize the side effects of AI and use it responsibly, and publishing the AI Charter of Ethics (AICE) is one result of it. This study examines how our society is responding to threats from AI that may emerge in the future by examining various AIECs in the Republic of Korea. First, we summarize seven AI threats and classify these into three categories: AI's value judgment, malicious use of AI, and human alienation. Second, from Korea's seven AICEs, we draw fourteen topics based on three categories: protection of social values, AI control, and fostering digital citizenship. Finally, we review them based on the seven AI threats to evaluate any gaps between the threats and our responses. The analysis indicates that Korea has not yet been able to properly respond to the threat of AI's usurpation of human occupations (jobs). In addition, although Korea's AICEs present appropriate responses to lethal AI weapons, these provisions will be difficult to realize because the competition for AI weapons among military powers is intensifying.

• Educational Technology International
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• 제11권2호
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• pp.43-75
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• 2010

The purpose of this study is to identify patterns of learner behaviors, conflicting and facilitating factors during collaborative work in an online learning community(OLC). This study further seeks to investigate the difference of learner behaviors between high- and low-performing groups, and conflicting and facilitating factors. The online postings from four groups(19 students) in the spring semester(study 1) and six groups(24 students) in the fall semester(study 2) were analyzed. A coding scheme was generated based on constant comparison using the qualitative data analysis tool, NVivo. The analysis identified 7 categories of learner behaviors in both studies. Among the seven categories, information seeking and co-construction were most frequently observed in both studies. One evident difference between the high- and low-performing groups was that the high-performing groups revealed more incidents of learner behaviors in both studies. In addition, six categories of conflicting factors and five categories of facilitating factors were emerged in both studies. The inefficiency of work category was one of the most frequently observed categories in both studies. Interestingly, the high-performing groups showed more incidents of conflicting factors than the low-performing groups. This study revealed two different types of conflicting factors and there is a need for different moderating strategies depending on its type. Based on the results of the study, effective design strategies for an OLC to facilitate active learning were suggested.

• 한국경영과학회지
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• 제27권3호
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• pp.41-57
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• 2002

In this paper, I investigate the impact of quality management activities on the public sector within the framework of Malcolm Baldrige (MB) national qualify model. The Structural Equation Modeling approach has been employed to investigate the cross influences among the seven MB categories. This empirical study shows that a number of statistical hypotheses are significant. The leadership category is the most important driver among the quality management activities. This, in turn, implies that the main source in quality management is to foster a solid qualify oriented leadership system. Categories such as Information Analysis, Strategic Planning, Human Resource Development and Management, and Process Management are significantly related to the Customer Satisfaction category. In addition, leadership, Information Analysis, and Customer Satisfaction categories ere significantly influential to Management Performance.

• International Journal of Contents
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• 제5권2호
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• pp.1-5
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• 2009

This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

• 품질경영학회지
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• 제34권2호
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• pp.22-32
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• 2006

The purpose of this research is to develop the methodology for measuring the effectiveness of the Korean National Quality Award. To test the validity of the model, confirmatory factor analysis is used. Conclusively, 79 questions in 15 sub-categories from 7 categories are developed valid in the empirical research. Seven categories are Leadership, Strategic Planning, Human-Resource Focus, Process Management, Customer & Market Focus, Information & Analysis and Results.