• Journal of the Korean Society for Library and Information Science
• /
• v.53 no.1
• /
• pp.159-179
• /
• 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 Society for Library and Information Science
• /
• v.55 no.1
• /
• pp.85-106
• /
• 2021

The purpose of this study is to examine the concept and definition of fake news focusing on misinformation/false information and is to examine the ways in which our society can respond to the distortion of social reality and damage to democracy caused by information distortion such as fake news. To do this, the concept of fake news was examined based on the level of facticity and intention to device, and our social environment in which fake news was created and spread was examined from the perspective of datafication. In this environment, the library community, which plays a pivotal role in human access to and use of information, argued that it should strive to establish and provide universal literacy education in order to realize the Sustainable Development Goals of the UN 2030 agenda. The core of universal literacy education is to understand the society by investigating and analyzing data communication types according to the degree of datafication and the political, economic, social, and cultural background of society. For this reason, it was concluded that universal literacy should be implemented flexibly according to the degree of datafiation and users of each society.

• Journal of the Korean Society for information Management
• /
• v.35 no.4
• /
• pp.7-36
• /
• 2018

This study aimed to analyze the content of Records Data Management (RDM) training programs provided by 51 out of 121 university libraries in North America that implemented RDM services, and to provide implications from the results. For the content analysis, 317 titles of classroom training programs and 42 headings at the highest level from the tables of content of online tutorials were collected and coded based on 12 data literacy competencies identified from previous studies. Among classroom training programs, those regarding data processing and analysis competency were offered the most. The highest number of the libraries provided classroom training programs in relation to data management and organization competency. The third most classroom training programs dealt with data visualization and representation competency. However, each of the remaining 9 competencies was covered by only a few classroom training programs, and this implied that classroom training programs focused on the particular data literacy competencies. There were five university libraries that developed and provided their own online tutorials. The analysis of the headings showed that the competencies of data preservation, ethics and data citation, and data management and organization were mainly covered and the difference existed in the competencies stressed by the classroom training programs. For effective RDM training program, it is necessary to understand and support the education of data literacy competencies that researchers need to draw research results, in addition to competencies that university librarians traditionally have taught and emphasized. It is also needed to develop educational resources that support continuing education for the librarians involved in RDM services.

• Journal of Digital Convergence
• /
• v.19 no.9
• /
• pp.201-207
• /
• 2021

As artificial intelligence gradually expands into jobs, iIt is necessary to nurture talents with AI literacy capabilities required for non-majors. Therefore, in this study, based on the necessity and current status of AI education, AI literacy competency improvement education was conducted for non-majors so that AI learning could be sustainable in relation to future majors. For non-majors at University D, problem-solving solutions through project-based data analysis and visualization were applied over 15 weeks, and the AI ability improvement and effectiveness of learners before and after education were analyzed and verified. As a result, it was possible to confirm a statistically significant level of positive change in the learners' data analysis and utilization ability, AI literacy ability, and AI self-efficacy. In particular, it not only improved the learners' ability to directly utilize public data to analyze and visualize it, but also improved their self-efficacy to solve problems by linking this with the use of AI.

• Journal of The Korean Association of Information Education
• /
• v.22 no.6
• /
• pp.711-721
• /
• 2018

The development of artificial intelligence technology and the shift to a software-driven society are raising the need for digital literacy education on how to access, understand, use, create and share new open content in a variety of sustainable open content. At this point in time, this paper defines the digital literacy as the subliteracy concept for data, tools, and device elements. It is defined as a concept that includes cognitive and non-cognitive abilities and is stratified by computer literacy, ICT literacy, and information literacy. Open content is also defined as teaching-learning materials that can be used and shared freely by anyone, such as the Open Education Resource (OER) and the Open Access movement. Based on the two definitions, a three-step strategy for digital literacy education was developed to select open content in the digital environment, followed by a digital literacy education plan, and finally, an education frame to foster digital literacy capabilities.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.391-394
• /
• 2023

본 연구에서는 국내 초·중·고 정보교육에서 이뤄지고 있는 데이터 교육 연구 동향을 분석하여, 향후 데이터 교육의 연구 방향을 제안하고자 하였다. 이를 위해 2015년부터 2023년 5월까지 게재된 국내 논문 중 데이터 교육 관련 논문 45편을 발행 연도, 연구 대상, 연구 분야, 데이터 리터러시 요소별로 분석하였다. 분석 결과 데이터 교육은 초등학생을 대상으로 집중적으로 이뤄지고 있었고 개발 및 적용 관련 연구가 가장 많이 이뤄지고 있었다. 또한 데이터 리터러시의 전 요소를 포함한 연구와 인공지능과 관련된 연구의 비중이 높음을 확인할 수 있었다. 따라서 본 연구를 바탕으로 SW·AI 교육을 위한 데이터 교육이 활발히 이뤄지길 기대한다.

• Journal of Digital Convergence
• /
• v.19 no.5
• /
• pp.23-30
• /
• 2021

The shift to the digital media era is increasing the importance of the ability to accept, produce and share news through digital media(news literacy), but there is a lack of diagnosis of the level of news literacy among Korean adults and discussions on how to improve news literacy. This study analyzed the news literacy level of Korean adults according to background variables (urbanization degree, gender, age, academic background) and examined the relationship between the amount of news literacy-related practices and the level of news literacy. The results showed that the overall level of news literacy among adults in Korea was not high and that differences between groups were also statistically significant. The significant relevance between the amount of news literacy-related practices and the level of news literacy has also been identified. Based on the findings, it was suggested that the need for policy support to improve news literacy among Korean adults, the need to prioritize the resources of news literacy education according to background variables of adult learners, and the need to continuously monitor news literacy levels of Korean adults.

• The Journal of the Korea Contents Association
• /
• v.21 no.4
• /
• pp.26-37
• /
• 2021

This study conducted a big data analysis on news to identify the agenda of media literacy, which has been socially discussed, and on which relevant policy directions will be proposed. To this end 1,336 articles from January 1, 2019 to September 30, 2020 were collected and a topic modeling analysis was conducted according to four periods. Five topics for each period were derived through the analysis, and implications based on the results are as follows. First, the government should implement a nation-level systematic approach to media literacy education according to life cycle stages to generate economic and cultural value. Second, local communities and schools should provide systematic support and education guidance activities to ensure a sustainable ecosystem for media literacy and prevent an educational gap and loss in learning. Third, efforts should be made in various aspects to minimize the side effects resulting from constantly providing media literacy education; furthermore a culture of desirable media application should be established. Finally, a research environment for scientific research on media literacy, active exchange of experience and value obtained in the field, and long-term accumulation of research results should be encouraged to develop a robust knowledge exchange culture.

• Journal of Digital Convergence
• /
• v.19 no.5
• /
• pp.285-293
• /
• 2021

With the advent of the 4th Industrial Revolution, AI utilization capabilities are being emphasized in various industries, but AI education design and curriculum research as universal education is currently lacking. This study offers a design for universal AI education to further cultivate its use in universities. For the AI basic education design, a questionnaire was conducted for experts three times, and the reliability of the derived design contents was verified by reflecting the results. As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived were data structure understanding and processing, visualization, word cloud, public data utilization, and machine learning concept understanding and utilization. The educational design content derived through this study is expected to increase the value of competency-centered AI universal education in the future.

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