• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.223-236
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• 2018

The purpose of this study is to suggest the concept of data literacy and its detailed competencies based on humanities focused on LIS. To do this, we define the concept of data literacy by comparing and analyzing researches related data literacy, data information literacy, and digital literacy in domestic and foreign. And we design the basic 11 elements of data literacy based on digital humanities concepts. The result of this study is expected to be used as a basic data when design henceforward data literacy framework.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.179-195
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• 2020

As data becomes more important, data literacy has recently emerged as an significant term. The purpose of this study is to design data literacy model based on digital humanities. To attain this end, data literacy model was designed by combining the main contents derived from the digital humanities education program with specific capabilities extracted from research related to data literacy. By applying the data literacy model, which is the result of this study, it will be applicable to the data literacy courses in universities, and I would like to propose a follow-up study to evaluate the effectiveness of data literacy in the future.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.1
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• pp.159-179
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• 2019

The purpose of this study is to re-approach the concept of data literacy, to describe the differences with other literacies along with the redefined concept of data literacy. Also, it is tried to find out why and how to use data literacy for library and information services. Research has shown that data literacy plays a central role in interacting with other literacy concepts, and should be understood as a data-driven problem-solving ability that is essential for the future human society. Based on these concept definitions, we propose the application of data literacy to library information service in terms of education service and research support service. In this study, data literacy is defined as the ability to utilize data needed by users in a data - based society, is to explain why data literacy is the ability to utilize data for users in modern society by distinguishing differences from other literacy. This concludes with a discussion and proposal on what library information services can be implemented.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.141-151
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• 2022

Recently, basic literacy education related to digital literacy and data literacy has been emphasized for students who will live in a rapidly developing future digital society. Accordingly, demand for education to improve big data and data literacy is also increasing in general universities and universities of education as basic knowledge. Therefore, this study designed and applied big data analysis courses for pre-service teachers and analyzed the impact on data literacy. As a result of analyzing the interest and understanding of the input program, it was confirmed that it was an appropriate form for the level of pre-service teachers, and there was a significant improvement in competencies in all areas of 'knowledge', 'skills', and 'values and attitudes' of data literacy. It is hoped that the results of this study will contribute to enhancing the data literacy of students and pre-served teachers by helping with systematic data literacy educational research.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.633-641
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• 2020

The development of intelligent information technology based on intelligence and data and network technology implemented by artificial intelligence has instigated innovation in society as a whole and has shown wide social and economic impact. Therefore, not only overseas but also in Korea, AI education is in a hurry to cultivate talents who will lead the upcoming society. Data is an important part of artificial intelligence, and data literacy, which can collect, process, and analyze data, to make data-based decisions, can be seen as an important competency to be developed along with AI literacy. Therefore, in this study, an AI data science education program that can increase data literacy of elementary school students was developed and applied to the experimental group, and its effectiveness was verified through a pre- and post response sample t-test. As a result, all of the four detailed competencies of data literacy, data understanding, collection, analysis, and expression, showed statistically significant improvement, indicating that the AI data science education program was effective in improving students' data literacy.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.3
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• pp.269-277
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• 2013

Purpose: The purposes of the study were to identify level of health literacy and factors influencing health literacy of migrant workers. Methods: Data were collected using a cross sectional correlational design. Participants were 128 migrant workers in Korea. Data were analyzed using descriptive statistics, independent t-test, ANOVA, Scheff$\acute{e}$ test, and hierarchical multiple regression with the SPSS 18.0 program. Results: The health literacy level of migrant worker was low and they had difficulty in understanding patient education materials and medical forms. Factors influencing health literacy were residential areas (city or rural), education level, length of stay in Korea, and ability to understand spoken Korean. Regression model accounted for 14.2% of the variance in health literacy. Conclusion: Lower levels of health literacy make it difficult for migrant works to visit medical facilities and perform health behaviors appropriately. Therefore, diverse strategies should be developed by nurses to enhance the health literacy level of migrant workers.

• Journal of Contemporary Eastern Asia
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• v.21 no.2
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• pp.47-68
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• 2022

Micro, Small, and Medium Enterprises (East Java, Indonesia) are one of the businesses that drive developing nations' economies with various challenges, particularly in finance and digitalization. The impact of financial literacy and the use of digitalization can affect the recording and reporting of company performance. This is quantitative research, and the population in this research is SMEs in East Java, with 401 SMEs from various businesses for the sample used. This research uses the primary data method of SMEs in East Java with the Structural Equation Model as a data analysis tool. The results showed a significant relationship between financial literacy and financial performance, and digital literacy was based on financial performance. However, digital literacy could not moderate financial literacy with the financial performance of East Java SMEs. Much of the untapped potential in this study was adopted from financial governance and digitalization. It is hoped that the subsequent study will examine other phenomena on the variables used in the post-pandemic.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1696-1707
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• 2021

With the recent growth of information technology, various literacy such as digital literacy, data literacy, AI literacy is being studied. In this paper, we focus on data visualization literacy as visualization is an essential part of big data analysis and is used in several mobile apps. Visualization Literacy Assessment Test(VLAT) was developed in 2016 and we introduce how the test was developed and modified to a Korean version, K-VLAT. K-VLAT is consisted of 12 visualizations and 53 questions through a website. Additionally, to understand the research trend in visualization literacy we analyzed 81 papers that had cited the VLAT publication. We categorized the research into 4 categories with 11 sub-categories. The area of studies visualization literacy related to was understanding the relation with cognition, expanding the literacy measures, relation with education, utilization for developing user-centric dashboards or using the test to show effectiveness of visualizations. At last, we discuss about different ways to utilize K-VLAT for future research.

• Research in Community and Public Health Nursing
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• v.22 no.1
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• pp.75-85
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• 2011

Purpose: The purpose of this study was to describe the status of the functional health literacy of the elderly living in a rural community and to identify the influencing factors on the functional health literacy. Methods: Subjects(n=238) aged over 60 years were selected for data collection. Functional health literacy was measured by Korean Health Literacy, which consisted of 15 items including eight numeracy and seven comprehension items. Descriptive statistics, t-test, ANOVA with Scheffe test, and stepwise multiple regression were used to analyze the data. Results: The mean score of total functional health literacy was $6.66{\pm}3.31$, numeracy was $3.52{\pm}1.76$, and comprehension was $3.41{\pm}2.10$. Of the subjects, 39.1% showed a low score below the median split. In the results of stepwise multiple regression, the factors affecting functional health literacy were basic literacy, age, number of chronic diseases, self-reported health status, and gender. These factors accounted for 33.0% of functional health literacy. Conclusion: These results suggest that interventions for improving functional health literacy are necessary to enhance elders' ability of self-care management. In addition, it is needed to take into account the individual characteristics of the subjects depending on their gender, age, and health status.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.269-280
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• 2020

This research aims to determine the direct and indirect effects of digital literacy, economic literacy, and entrepreneurial skills on the performance of small- and medium-sized enterprises (SMEs) in garment clusters in the Bulak tourism industry Depok. Carrying out quantitative research with survey methods, data collection is using a questionnaire technique with 90 respondents, via saturation sampling. This research data analysis uses SPSS software version 25.0. Path analysis is used to determine the direct and indirect effects between variables. The results showed digital literacy, economic literacy, and entrepreneurial skills significantly and positively affect the performance of small- and medium-sized enterprises. The main finding in this study is that digital literacy has the greatest influence on the performance of SME entrepreneurs, both directly and indirectly. The results of the study provide input on performance development strategies for SME entrepreneurs through digital literacy, including digital business relationships, online facilities, and networks. The findings are also complementary to the factors shaping the performance of SME entrepreneurs in the digital age. The research results show that digital literacy has the greatest direct and indirect influence on the performance of SME entrepreneurs; this shows the essential contribution of digital literacy in developing business and marketing networks.