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A study on the relationship between selective exposure, opinion change, and political participation in a digital news distribution environment (개인과 미디어의 선택성이 강화된 디지털 뉴스 유통 환경에서 선택적 노출과 의견변화, 정치참여의 관계 연구)

  • Jihee Shin;Seungchan Yang
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.391-406
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    • 2024
  • The current distribution of digital news has the potential to produce politically biased information for users as a result of individual choices and media selection based on those choices. Consequently, this research explored the factors affecting individual news selection and the effects of opinion changes and political participation that can occur when news tailored to users' partisan preferences is recommended. The phenomenon of selective exposure has been shown to be stronger when individuals utilize more limited information processing, experience higher discussion efficacy among groups with similar political beliefs. Furthermore, When a selective exposure group was randomly provided with a one-way message news that matched their partisan leanings, it was found that opinion consolidation, opinion-reinforcing information processing, and online political participation. On the other hand, when they were randomly presented with two-way messaging news in which the media balanced two competing partisan positions, they were found to be more likely to understand the other side's views and arguments, and more willing to adjust their existing opinions. We are confirmed that the balanced use of various opinions is very important in deliberative democratic process.

Governance research for Artificial intelligence service (인공지능 서비스 거버넌스 연구)

  • Soonduck Yoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.2
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    • pp.15-21
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    • 2024
  • The purpose of this study is to propose a framework for the introduction and evaluation of artificial intelligence (AI) services not only in general applications but also in public policies. To achieve this, the study explores AI service management and governance toolkits, providing insights into how to introduce AI services in public policies. Firstly, it offers guidelines on the direction of AI service development and what aspects to avoid. Secondly, in the development phase, it recommends using the AI governance toolkit to review content through checklists at each stage of design, development, and deployment. Thirdly, when operating AI services, it emphasizes the importance of adhering to principles related to 1) planning and design, 2) the lifecycle, 3) model construction and validation, 4) deployment and monitoring, and 5) accountability. The governance perspective of AI services is crucial for mitigating risks associated with service provision, and research in risk management aspects should be conducted. While embracing the advantages of AI, proactive measures should be taken to address limitations and risks. Efforts should be made to efficiently formulate policies using AI technology to create high value and provide meaningful societal impacts.

A Study on Development of Construction Standard Production Rates and Cost Analysis for Off-Site Construction (OSC)-Based PC Structure Construction Costs - Comparison with RC Method - (OSC기반 PC구조 공사비 산정을 위한 품셈개발 및 공사비 분석 - RC공법과 비교 -)

  • Lee, Hansoo;Lee, Chiho;Han, Heesu;Lee, Jeongwook
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.2
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    • pp.56-68
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    • 2024
  • A construction standard production rates system for the factory built and on-site installation phases of OSC (Off-Site Construction)-based precast concrete (PC) structures in apartment buildings was recently proposed to establish an objective cost standard (Lee et al., 2021). In addition, the Korean government has taken steps to improve the institutional foundation for the systematic calculation of PC construction costs such as revising construction standard production rates for major components that can be applied to the on-site installation phase of PC method. In this study, we analyzed the results of a field survey of apartment building PC structures and collected expert opinions to develop factory-built and on-site installation standard production rates that can be applied to apartment building PC method. We also propose directions for improving the standard production rates so that they can be applied to the site and component of apartment buildings by comparing them with the current standard production rates. This study also derived the cost characteristics and cost reduction measures of PC construction by calculating the construction costs using the developed rates and comparing the construction costs with the RC methods of apartment buildings of the same scale. The construction standard production rates for PC construction derived in this study are expected to contribute to the spread of PC construction by ensuring the objectivity and consistency of the results of PC methods cost estimation.

Analysis of Achievement Standards Statements of 2022 Revised Elementary School Science Curriculum (2022 개정 초등학교 과학과 교육과정 성취기준 진술 분석)

  • Park, Ki Rak
    • Journal of Korean Elementary Science Education
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    • v.43 no.2
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    • pp.284-300
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    • 2024
  • This study elucidates the achievement standards statements of the 2022 revised elementary school science curriculum to identify specific achievement standards for the upcoming curriculum. Therefore, the researcher analyzed the statements of the overall elementary school achievement standards based on Bloom's taxonomy of new educational objectives. The results are as follows. First, the achievement standards statements are biased toward certain knowledge and cognitive process dimensions; this aspect is not consistent with the goals of the 2022 revised curriculum and the teaching and learning directions of the science department. Thus, achievement standards that enable various types of activities and inquiry learning should be developed. Second, a need emerges for the hierarchization of knowledge and cognitive levels by grade level. The proportions of low levels of knowledge and cognitive process dimensions increased in the upper grades, such that a systematic hierarchy should be considered. Third, the need to diversify the use of the descriptors of achievement standards is also identified. Although the tendency to rely on specific descriptors decreased during the previous curriculum, approx imately half of the descriptors were only used once or twice. Therefore, balancing the use of various descriptors is necessary. To ensure that the results are reflected in the achievement standards for elementary school science textbooks under the revised science curriculum for elementary schools in 2022, a discussion is required on the design of achievement standards statements. As a follow-up study, the researcher proposes a comparative analysis of the achievement standards of science curricula for middle and high schools to explore the wording of achievement standards appropriate for elementary school science education considering its nature, goals, and contents and to analyze the hierarchy and continuity of the entire science curriculum.

A sea trial method of hull-mounted sonar using machine learning and numerical experiments (기계학습 및 수치실험을 활용한 선체고정형소나 해상 시운전 평가 방안)

  • Ho-seong Chang;Chang-hyun Youn;Hyung-in Ra;Kyung-won Lee;Dea-hwan Kim;Ki-man Kim
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.3
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    • pp.293-304
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    • 2024
  • In this paper, efficient and reliable methodologies for conducting sea trials to evaluate the performance of hull-mounted sonar systems is discussed. These systems undergo performance verification during ship construction via sea trials. However, the evaluation procedures often lack detailed consideration of variabilities in detection performance due to seabed topography, seasonal factors. To resolve this issue, temperature and salinity structure data were collected from 1967 to 2022 using ARGO floats and ocean observers data. The paper proposes an efficient and reliable sea trial method incorporating Bellhop modeling. Furthermore, a machine learning model applying a Physics-Informed Neural Networks was developed using the acquired data. This model predicts the sound speed profile at specific points within the sea trial area, reflecting seasonal elements of performance evaluation. In this study, we predicted the seasonal variations in sound speed structure during sea trial operations at a specific location within the trial area. We then proposed a strategy to account for the variability in detection performance caused by seasonal factors, using results from Bellhop modeling.

Mission-Oriented Conceptional Design of the Cube Satellite CNU Laser Unity Bus (CLUB) for Ground-Space Laser Research (지상-우주 레이저 연구를 위한 큐브위성 CLUB(CNU Laser Unity Bus)의 임무 중심 개념설계)

  • Seok-Min Song;Ho Sub Song;Chae-Ryeong Kim;Young-In Kang;Yang-Ha Ju;Mansoo Choi;Hyung-Chul Lim;Yu Yi
    • Journal of Space Technology and Applications
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    • v.4 no.1
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    • pp.48-61
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    • 2024
  • In this paper, we introduce the concept of the cube satellite Chungnam National University Laser Unity Bus (CLUB), which can provide an integrated infrastructure for various ground-space laser applications. With the advent of the new space era, the rapid expansion of space utilization has begun to reveal the limitations of conventional radio frequencies. As space missions diversify, lasers are garnering attention as a viable alternative. Between ground and space, lasers are applied in various fields including satellite laser ranging (SLR), laser weapons, and laser communication. However, laser used between the ground and space are significantly influenced by the Earth's atmosphere. Consequently, understanding the atmospheric effects on laser propagation is crucial. In particular, atmospheric turbulence, which refracts and distorts laser beams, intensifies closer to the Earth's surface, exerting a greater impact on the uplink than on the downlink. While downlink verification is facilitated by ground detection, verifying the uplink poses challenges due to the necessity of space-based detection. In response to these challenges, we propose the idea of cube satellite as a means to enhance understanding and verification of laser propagation in the uplink. Additionally, we present the results of conceptual design by analyzing requirements, focusing on mission design of the CLUB cube satellite, following the stages of systems engineering for systematic cube satellite development.

A Study on the Competitive Factor of Global Logistics Hub Cities Using a Importance-Performance Analysis : Focusing on the Case of Incheon Metropolitan City (IPA분석을 통한 글로벌 물류 허브도시 경쟁요인에 관한 연구 : 인천광역시 사례를 중심으로)

  • Lee, Myeong-Hwa;Shin, Mi-Na;Kim, Un-Soo
    • Journal of Korea Port Economic Association
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    • v.40 no.2
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    • pp.205-219
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    • 2024
  • This study assesses Incheon Metropolitan City's potential as a global logistics hub amid intensified competition since the 2000s. Utilizing Importance-Performance Analysis(IPA), it evaluates competitive factors for logistics hub cities and Incheon's current positioning. The research identifies world-class infrastructure development and global city connectivity as key competitiveness factors. While Incheon, with its international airport and port, currently functions as a logistics hub, areas for improvement emerge. Recommendations include developing specialized cargo infrastructure for cold-chain and e-commerce, expanding the global network through multimodal transportation, and addressing gaps in smart and eco-friendly logistics. These suggestions encompass professional training, information platform establishment, and sector-wide decarbonization initiatives. The study's significance lies in its IPA-driven evaluation of competitiveness factors and Incheon's status, providing actionable recommendations for strategic planning to enhance the city's position as a global logistics hub.

Study on Organizational Management and Policy Development in Response to Increasing Multicultural Soldiers in Korean Military (다문화 장병 증가에 따른 조직관리 및 정책적 발전방안 연구)

  • Ji-Yeon Kim;Kyoung-Haing Lee;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.419-423
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    • 2024
  • With the rapid increase of multicultural families in South Korea due to international marriages and the influx of foreign workers, the number of children from these families enlisting in the military is also rising. It is projected that by 2030, over 10,000 recruits from multicultural backgrounds will join the military annually. This influx can help mitigate the issue of decreasing military resources due to low birth rates and enhance the cultural diversity within the military. However, the lack of multicultural awareness and the presence of discrimination in the military can hinder the well-being of these multicultural soldiers. This study aims to analyze the multicultural phenomenon in the Korean military and explore development strategies to ensure the stable service and healthy military culture for multicultural soldiers. The theoretical background of multiculturalism and diversity in the military is examined, along with the analysis of multicultural military operations in other countries. Management strategies for multicultural soldiers, including leadership and organizational culture innovation, multicultural education and awareness programs, and the establishment of tailored support systems, are proposed. Furthermore, policy recommendations for enhancing the effectiveness of multicultural policies in the Korean military are presented. Supporting the successful military service of multicultural soldiers will contribute to the enhancement of military combat power and the acceptance of multiculturalism in Korean society.

Systematic literature review on AI-based mathematics teaching and learning: Focusing on the role of AI and teachers (AI 기반 수학 교수·학습에 대한 체계적 문헌 고찰: AI의 역할과 교사의 역할을 중심으로)

  • Jungeun Yoon;Oh Nam Kwon
    • The Mathematical Education
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    • v.63 no.3
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    • pp.573-591
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    • 2024
  • The purpose of this study is to explore research trends on AI-based mathematics teaching and learning. For this purpose, a systematic literature review was conducted on 57 literatures in terms of research subject, research method, research purpose, learning content, type of AI, role of AI, and role of teachers. The results indicate that student accounted for the largest proportion at 51% among the research subjects, and quantitative research was the highest at 49% among the research methods. The purpose of study was distributed as follows: effect analysis 44%, theoretical discussion 35%, case study 21%. 'Numbers and Operations' and 'Variables and Expressions' covered learning contents most, and Intelligent Tutoring System (ITS) was used the most among the types of AI. 'Student teaching' was the largest parts of role of AI at 40.4%, followed by 'teacher support' at 22.8%, 'student support' at 21%, and 'system support' at 15.8%. The role of teachers as 'AI recipients' was highlighted in earlier studies, and the role of teachers as 'constructive partner with AI' was highlighted in more recent studies. Also, role of teachers was explored in pedagogical, AI-technological, content aspects. Through this, follow-up research was suggested and the roles that teachers should have in AI-based mathematics teaching and learning were discussed.

Does Servant Leadership Reduce Turnover Intention?: Job Crafting as Mediating Variables, and Stress Mindset as Moderating Variable (서번트 리더십은 이직 의도를 줄이는가?: 잡 크래프팅의 매개 역할과 스트레스 마인드셋의 조절 효과)

  • Piao Juan-xiu;Hahn Ju-hee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.4
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    • pp.141-160
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    • 2024
  • In recent years, turnover intention among employees in China's banking industry has surged due to internal and external environmental pressures. This surge surpasses those occurring in other sectors. This rising trend in employee turnover has resulted in reducing employee turnover becoming a critical priority for banks in their ongoing development. Traditional leadership styles have proven inadequate for addressing this issue, requiring a shift towards more effective management approaches. This study explores the potential of servant leadership, a management style that prioritizes employees' needs, supports their development, and motivates them to realize their potential, as a means to mitigate rising turnover intentions. The research focuses on employees in the Chinese banking sector so as to examine the impact of the servant leadership management approach on their turnover intentions. Job crafting is investigated as a mediating variable, while stress mindset is assessed as a moderating variable. Data were collected from 401 valid questionnaires across 62 teams, comprising 62 leaders and 339 employees. Hypotheses were tested using SPSS 26.0 and HLM 6.0. The findings reveal that: (1) servant leadership significantly reduces turnover intentions; (2) job crafting mediates the relationship between servant leadership and turnover intentions; and (3) stress mindset positively moderates the influence of job crafting on turnover intentions. This study provides empirical evidence supporting the relationship between servant leadership and turnover intentions. The study's findings offer valuable insights into how to enhance employee management practices. It also discusses the theoretical and practical implications of integrating servant leadership into the banking sector, highlights the study's limitations, and proposes directions for future research.

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