• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.115-140
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• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.741-756
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• 2016

This study is to identify the effectiveness of English literature in reading instruction using meta-analysis of advanced researches. 80 studies published in Korea were selected for this research wherein the studies are in experimental nature on reading instruction using English literature. The result of the meta-analysis are as follows: Reading instruction with English literature for early children in kindergartens and primary schools showed statistically significant positive effects in both reading abilities and affective domains, in particular for younger children from kindergartners to 2nd graders of primary school. It was more effective when the instructor used top-down approach than bottom-up or balanced approach. No significant coorelation was found between the number of English stories and the students' linguistic ability. Diverse activities tailored to students' need are turned out to be more effective than using same old activities with more stories.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.359-373
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• 2022

The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

• Korean Journal of Child Studies
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• v.31 no.5
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• pp.167-191
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• 2010

The purpose of this study is to examine how science activities using nonfiction literature affectspreschool children's scientific process skills, attitudes and concepts. For the purposes of this study, two classes, consisting of four and five-year-old children in a kindergarten located in D city were selected. One class was designated as the experimental group and the other as the control group. The experimental group performed science activities using nonfiction literature, while the control group did not. Thisexperimental study was conducted over the course of 8 weeks. Analysis of data was performed by ANCOVA. The results of the posttest indicated that the experimental group which performed science activities using nonfiction literature showed an improvement in their process skills, scientific attitudes and scientific concepts compared with the control group.

• Journal of the Korean Institute of Navigation
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• v.12 no.1
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• pp.113-136
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• 1988

Decision Science or Decision Analysis can be described as a scientific methodolog to provide suitable quantitative information for the decision maker to be able to selected the best feasible alternative on the given decision environment and thus we can say that where there are decision problems, there needs the decision analysis to be applied to them. International shipping is generally said to be the cheapest and most widely used means of transport in international trade and each of the hundreds of seaport. So far as the decision makings in the shipping and port transportation are concerned, of real importance is to understand what the decision problems in each of shipping and port transportation really are and to recognize the meaning of relevance between shipping and seaport in the outworn phrase, that is to say, "The chain is as strong as its weakest link." This paper is intended to present a literature survey on the applied decision analysis to shipping and port transportation problems which have actually been involved in the wide variety of decision environment. At first, the author suggests four divisional framework such as decision analysis in each field of Shipping Economics, Management and Operations of Shipping, Port Economics, and Port Operation and Management, according to the main concern of the decision environment, and then the literature surveys on those four major divisions are described including the problems and solution approaches in each case. The author concludes the paper with the comment on the need of joint research around this area by citing the phrase of "a process of updating the decision makers' intuitions."s' intuitions."quot;

• Journal of Information Science Theory and Practice
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• v.10 no.2
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• pp.45-73
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• 2022

The research in the literature review on Internet of Things (IoT) adoption from an individual consumer viewpoint is minimal and has not yet been fully investigated. Therefore, the objectives of this study are to analyze the growth of IoT in recent years and to conduct a weight analysis of the factors that affect acceptance intentions and real usage of IoT-enabled services. For the review, we analyzed 87 publications from 13 conferences and 54 journals published during the period 2014-2020 about consumer adoption of IoT. Following the study, we discovered an unprecedented increase in the number of articles published in the last seven years, which points to an emerging area with an enormous prospect. Furthermore, the weight analysis outcome was associated with the diagrammatic representation in this study. After that, this research developed a generalized consumer IoT adoption model based on the 12 best predictors derived from frequency count and weight analysis, which had the highest predictive power for calculating IoT adoption. This paper further acknowledges the study's theoretical and practical contributions, as well as its shortcomings, and proposes further research directions for future researchers.

• Journal of Distribution Science
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• v.21 no.10
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• pp.97-107
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• 2023

Purpose: The primary objective of the present study is to investigate the contribution of retail beauty workers toward improving 'Green Supply Chain Management' (GSCM) within the beauty sector, and to address the following research inquiry: What are the responsibilities and contributions of retail beauty workers in the promotion and implementation of GSCM practices within the beauty industry? Research design, data, and methodology: The research methodology for this study was employed in investigating the current literature dataset and conducting qualitative literature analysis (Peer-reviewed journal articles and books). This study provides a comprehensive account of the data collection procedure and clear process employed for data analysis. Results: According to the qualitative textual analysis based on comprehensive literature analysis, the crucial aspects of retail beauty workers' contribution to enhancing GSCM within the beauty industry are following: (1) Promote green products, (2) provide green customer education, (3) Provision of environmental friendly services, and (4) Involvement in reducing green waste. Conclusions: All in all, through this process, four distinct roles were identified, which retail beauty workers can assume to facilitate the implementation of GSCM practices. This entails effectively advocating for environmental friendly products to customers by showcasing their value, attractiveness, and appropriateness in meeting customers' requirements and preferences.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.1
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• pp.113-128
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• 2003

Purpose : The aim of this study is to review cost analysis methodological issues in the nursing literature. Method : The subjects of this study were articles published in Korea from 1961 to August, 2002. They were searched by key words 'cost' and 'nursing' from various DB(National Assembly Library, The National Library of Korea, RICH etc). Finally, 31 articles were collected. Results : 1) The major type of cost analysis was a cost comparison study. 2) The important methodological weaknesses were as followers: First, many studies did not describe a cost analysis framework or a cost analysis assumption. Second, a few studies described selection criteria of cost items and effectiveness items. Third, many studies did not do a sensitivity analysis. Conclusion : With these results, it will be possible to develop a more proper cost analysis methodological framework and also to make an evaluation criteria for cost analysis nursing study.

• Computers and Concrete
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• v.15 no.2
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• pp.279-304
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• 2015

In this study, reliability analyses of steel fiber reinforced concrete (SFRC) corbels based on stochastic finite element were performed for the first time in literature. Prior to stochastic finite element analysis, an experimental database of 84 sfrc corbels was gathered from literature. These sfrc corbels were modeled by a special finite element program. Results of experimental studies and finite element analysis were compared and found to be very close to each other. Furthermore experimental crack patterns of corbel were compared with finite element crack patterns and were observed to be quite similar. After verification of the finite element models, stochastic finite element analyses were implemented by a specialized finite element module. As a result of stochastic finite element analysis, appropriate probability distribution functions (PDF's) were proposed. Finally, coefficient of variation, bias and strength reduction (resistance) factors were proposed for sfrc corbels as a consequence of stochastic based reliability analysis.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.5171-5176
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• 2012

We here performed a systematic review of PBIC literature using terms analysis in a hope of both identifying potential trends and patterns and exploring methods leveraging traditional literature reviews in this specific area. Articles meeting inclusion criteria were retrieved from PUBMED and translated into dichotomized article records representing presence or non-presence of MeSH terms and a metric consisting of numbers of times of co-occurrence between all pairs of terms identified using a self-designed program. The occurrence of and relations among the terms were calculated and visualized using Excel2007 and UCINET respectively. A total of 1,742 terms were identified from 997 articles retrieved. Put in a descending order, the lines representing the times of term occurrence formed a typical hyperbolic curve; when plotted along the x-axis of whole MESH terms, the lines clustered within four specific regions. Comparison of term occurrence between 2002 and 2011 revealed priority changes in population and subjects (from general groups to priority groups), intervention approaches (from medicine to exercise and psychotherapy), methodology and techniques (from cohort studies to randomized controlled trials) and outcomes (from health and mental health to quality of life, depression etc.). Networks of the terms featured a number of closely linked groups of topics including method and questionnaires, therapy and outcomes, survival management, psychological assessment and intervention, behavioral intervention (individual and community oriented). Terms analysis revealed interesting trends and patterns about PBIC publications and both the analysis methods and findings have implications for future research and literature reviews.