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Adaptation Experience of Male Nurses on Shift work (교대근무 남자간호사의 실무 적응 경험)

  • Hwa Kyung Oh
    • Journal of Industrial Convergence
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    • v.22 no.1
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    • pp.185-195
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    • 2024
  • The purpose of this study is to comprehensively interpret the practical adaptation experience of male nurses working shifts and to understand the meaning and essence. The data collection period was from September 2022 to November 2022 and in-depth interviews were conducted with 9 male nurses working at tertiary general hospitals, general hospitals, special hospitals and long-term care hospitals until content saturation. Data analysis was applied according to Colaizzi's phenomenological research method, and as a result of the study, 4 categories, and 11 theme were derived. The 4 categories consisted of 'Changes due to shift work', 'Difficulties arising from gender differences', 'Adaptation for job performance', and 'Growth and direction for the future'. Through this study, it was possible to explore the meaning of the practical adaptation experience of male nurses working in shifts, and it was found that it was necessary to develop and apply work environment improvement plans and male nurses' capacity building programs for nursing work.

Development and Validation of Core Competency Scale For Graduate Students in the Field of Science and Engineering (이공계열 대학원생 핵심역량 진단도구 개발 및 타당화 연구: A연구중심대학 사례)

  • Bae, Sang Hoon;Cho, Eun Won;Han, Song Ie;Jeong, Yoo Ji;Kim, Kyeong Eon
    • Journal of Engineering Education Research
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    • v.27 no.2
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    • pp.35-50
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    • 2024
  • The purpose of this study is to identify the core competencies of graduate students at A research university in the context of graduate education in science and engineering, and to develop and validate a diagnostic tool to measure them. To achieve the research objectives, first, 6 factors and 18 sub-competencies of core competencies were derived based on a review of domestic and foreign studies, cases of excellent research-centered overseas universities, and interviews with members of A University. Second, a theoretical model was constructed by deriving behavioral indicators based on the core competencies and sub-competencies, and a preliminary survey was conducted on 188 graduate students of University A to verify the statistical validity of the theoretical model. Results of exploratory and confirmatory factor analysis, the core competencies of graduate students at A research university consisted of 6 factors, 16 sub-competencies, and 77 items. Specifically, it included "Independent research capability(13 items)", "Social Entrepreneurship(10 items)", "Academic agility(15 items)", "Ingenious Challenges(15 items)", "Collegial Collaboration(9 items)", and "Mueunjae leadership(15 items)". This study contributes to the development of theories related to core competencies of graduate students in science and engineering, and has practical significance as a basis for a data-driven competency-based graduate education system.

An Automatic Data Collection System for Human Pose using Edge Devices and Camera-Based Sensor Fusion (엣지 디바이스와 카메라 센서 퓨전을 활용한 사람 자세 데이터 자동 수집 시스템)

  • Young-Geun Kim;Seung-Hyeon Kim;Jung-Kon Kim;Won-Jung Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.189-196
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    • 2024
  • Frequent false positives alarm from the Intelligent Selective Control System have raised significant concerns. These persistent issues have led to declines in operational efficiency and market credibility among agents. Developing a new model or replacing the existing one to mitigate false positives alarm entails substantial opportunity costs; hence, improving the quality of the training dataset is pragmatic. However, smaller organizations face challenges with inadequate capabilities in dataset collection and refinement. This paper proposes an automatic human pose data collection system centered around a human pose estimation model, utilizing camera-based sensor fusion techniques and edge devices. The system facilitates the direct collection and real-time processing of field data at the network periphery, distributing the computational load that typically centralizes. Additionally, by directly labeling field data, it aids in constructing new training datasets.

Audio Generative AI Usage Pattern Analysis by the Exploratory Study on the Participatory Assessment Process

  • Hanjin Lee;Yeeun Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.4
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    • pp.47-54
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    • 2024
  • The importance of cultural arts education utilizing digital tools is increasing in terms of enhancing tech literacy, self-expression, and developing convergent capabilities. The creation process and evaluation of innovative multi-modal AI, provides expanded creative audio-visual experiences in users. In particular, the process of creating music with AI provides innovative experiences in all areas, from musical ideas to improving lyrics, editing and variations. In this study, we attempted to empirically analyze the process of performing tasks using an Audio and Music Generative AI platform and discussing with fellow learners. As a result, 12 services and 10 types of evaluation criteria were collected through voluntary participation, and divided into usage patterns and purposes. The academic, technological, and policy implications were presented for AI-powered liberal arts education with learners' perspectives.

A Personalized Recommendation System Using Machine Learning for Performing Arts Genre (머신러닝을 이용한 공연문화예술 개인화 장르 추천 시스템)

  • Hyung Su Kim;Yerin Bak;Jeongmin Lee
    • Information Systems Review
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    • v.21 no.4
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    • pp.31-45
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    • 2019
  • Despite the expansion of the market of performing arts and culture, small and medium size theaters are still experiencing difficulties due to poor accessibility of information by consumers. This study proposes a machine learning based genre recommendation system as an alternative to enhance the marketing capability of small and medium sized theaters. We developed five recommendation systems that recommend three genres per customer using customer master DB and transaction history DB of domestic venues. We propose an optimal recommendation system by comparing performances of recommendation system. As a result, the recommendation system based on the ensemble model showed better performance than the single predictive model. This study applied the personalized recommendation technique which was scarce in the field of performing arts and culture, and suggests that it is worthy enough to use it in the field of performing arts and culture.

Artificial Intelligence on Nursing: A Scoping Review (간호에서의 인공지능연구: 주제범위 문헌고찰)

  • Minjoo Hong;Hyewon Shin;Jeonghyun Pi
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.311-322
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    • 2024
  • This study is a scoping review to identify the research trend on the awareness and use of artificial intelligence in the nursing field in South Korea. The methodological framework of Arskey and O'Malley was used, and studies published from 2010 to 2023 were analyzed. A total of 20 studies were used in the final review, and most of the descriptive studies were published in academic journals. The most relevant variables in artificial intelligence research were related to clinical nursing, and the literature topics were artificial intelligence recognition and readiness for the use of artificial intelligence, nursing adaptation, and artificial intelligence-related nursing ethics. This study systematically analyzed the current status of artificial intelligence in the nursing field in Korea and suggested the direction of further research. This study propose follow-up research to develop the capacity to utilize artificial intelligence in Korea's nursing clinical and educational sectors and to support its effectiveness.

A Study on the School Library Staffs'Perceptions on the Operation of Elementary School Library User Education (초등학교 도서관 이용자교육에 대한 전담인력의 인식조사 연구)

  • Yooran Jeon;Eunyeong Kang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.35 no.1
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    • pp.193-219
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    • 2024
  • This study aims to investigate and analyze the current status of user education and the school library staffs' perceptions in elementary school libraries in Gyeongnam, and then to propose a plan to improve user education in school libraries. Among the 168 school libraries in the Gyeongsangnam-do where librarians are deployed, 120 that responded to the survey were selected as research subjects. The contents of the study include the contents and methods of user education, the status of librarian education for user education, school library staffs understanding and interest in user education, school library staffs' perceptions of the necessity and effectiveness of user education, and school library staffs' efforts to strengthen capacity of user education. Based on the current status of user education and the results of the school library staffs' perceptions survey, the following are proposed as a way to improve user education of the school library: 1) expanding librarian education opportunities for user education, 2) development and distribution of educational materials that diversify the content and level of each grade, 3) organizing normal school hours for user education, 4) continuous efforts to strengthen capacity for user education.

The Digital Divide and Challenges on the Elderly in Intelligence Information Society (지능정보사회 노인층의 디지털 정보격차와 과제)

  • No-Min Park
    • Journal of Digital Policy
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    • v.3 no.1
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    • pp.11-20
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    • 2024
  • The intelligent information society is expected to drastically change our lives. The purpose of this content is to derive tasks in the field of media education for the elderly for the realization of digital inclusion in an intelligent information society. To this end, the vision, goals, strategies, and tasks of the intelligent information society were examined through the 6th National Informatization Basic Plan(2018~2022) and the 2022 Education Informatization White Paper(2022). In addition, the current status of the digital gap among the elderly classified as vulnerable groups was identified through the results of the 2022 Digital Information Gap Survey. In order to ease the digital information gap between the elderly in the intelligent information society, it is believed that the development of intelligent media education services using intelligent information technology, provision of media education services for the elderly through learning online service channels, and support for digital intelligent media education for the elderly are necessary.

Experience of Adaptation to Work In Comprehensive Nursing Service Units of Nurses (간호·간병통합서비스병동 간호사의 업무 적응 경험)

  • Suhyun Park;Seohyun Won;Bosun Kim;Jinhyang Yang;Seonhye Heo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.69-88
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    • 2024
  • Purpose : This study was conducted to examine the Experience of Adaption to Work in Comprehensive Nursing Service Units of Nurses. Methods : Empirical data were collected from 8 nurses through in-depth interviews. Eight participants who had more than 6 months of clinical experience in the general ward and had more than 6 months of work experience in Comprehensive Nursing Service Units were selected as participants. The main question was what does it mean to work in Comprehensive Nursing Service Units? All interviews were recorded and transcribed, and then analyzed using Giorgi's interview. Results: As a result of the analysis, five topics were derived. 'Facing a changed work environment', 'A sense of unexpected heterogeneity in work', 'Evaluation of immediate reality.', 'Finding strategies and promoting balance', 'Growing up as a professional nurse.' Conclusion: Based on these findings, There is a need to build a system that can adapt to work and continue to develop programs for capacity building in Comprehensive Nursing Service Units of Nurses.

The Role of Entrepreneurial Universities for Social Innovation in the Age of Knowledge Democracy: Based on the Quadruple Helix Model (지식 민주주의 시대의 사회적 혁신을 위한 기업가적 대학의 역할: 쿼드러플 힐릭스 모형을 중심으로)

  • Souyeon Nam
    • Journal of the Economic Geographical Society of Korea
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    • v.27 no.2
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    • pp.133-154
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    • 2024
  • This paper aims to provide policy implications by exploring the role of universities in the Quadruple Helix model with a focus on the social sector. The quadruple helices model complements the triple helices model, which has limitations in reflecting social change, to present a process of innovation creation through interaction between various social actors based on the democracy of knowledge. Based on this, this paper proposes a 'social entrepreneurial university' model that applies the results of the review of democracy of knowledge and social innovation theory to the entrepreneurial university model. In the quadruple helix model of social democratization and inclusion, it is important for social entrepreneurial universities to enhance the role of education, while dedicating their teaching and research capacities to creating and facilitating platforms that structure and promote the interaction of a wide range of local actors.