• Title/Summary/Keyword: 데이터리터러시

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Artificial Intelligence(AI) Fundamental Education Design for Non-major Humanities (비전공자 인문계열을 위한 인공지능(AI) 보편적 교육 설계)

  • Baek, Su-Jin;Shin, Yoon-Hee
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.285-293
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    • 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.

Development of AI Data Science Education Program to Foster Data Literacy of Elementary School Students (초등학생의 데이터 리터러시 함양을 위한 AI 데이터 과학 교육 프로그램 개발)

  • Hong, Ji-Yeon;Kim, Yungsik
    • 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.

A Study on the Definition of Data Literacy for Elementary and Secondary Artificial Intelligence Education (초·중등 인공지능 교육을 위한 데이터 리터러시 정의 연구)

  • Kim, SeulKi;Kim, Taeyoung
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.59-67
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    • 2021
  • The development of AI technology has brought about a big change in our lives. As AI's influence grows from life to society to the economy, the importance of education on AI and data is also growing. In particular, the OECD Education Research Report and various domestic information and curriculum studies address data literacy and present it as an essential competency. Looking at domestic and international studies, one can see that the definition of data literacy differs in its specific content and scope from researchers to researchers. Thus, the definition of major research related to data literacy was analyzed from various angles and derived from various angles. In key studies, Word2vec natural language processing methods, along with word frequency analysis used to define data literacy, are used to analyze semantic similarities and nominate them based on content elements of curriculum research to derive the definition of 'understanding and using data to process information'. Based on the definition of data literacy derived from this study, we hope that the contents will be revised and supplemented, and more research will be conducted to provide a good foundation for educational research that develops students' future capabilities.

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Development on Korean Visualization Literacy Assessment Test(K-VLAT) and Research Trend Analysis (한국형 데이터 시각화 리터러시 평가 개발 및 연구 동향 분석)

  • Kim, Ha-Neul;Kim, Sung-Hee
    • 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.

Exploratory Study on the Impact of News Literacy Self-Efficacy on News Content Usage: Based on News Consumers in 20s (뉴스 리터러시 자기 효능감의 뉴스콘텐츠 이용 영향에 대한 탐색적 연구: 20대 뉴스 소비자를 중심으로)

  • Lee, Jeng Hoon;Lee, Doo-Hwang
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.180-190
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    • 2013
  • This study is designed to introduce 'news literacy' as a theoretical framework to evaluate news education in digital age. Specifically, this study conceptually defined news literacy as news literacy self-efficacy and empirically tested how this variable is associated with other related determinants including users' news media consumption pattern, news knowledge structure on news content production, and involvement with news. The findings showed that users' 'searching/understanding' news literacy self-efficacy was positively affected by their knowledge structure and involvement with news, whereas users' 'sharing/expressing' news literacy self-efficacy was positively affected by their knowledge structure. The findings also demonstrated that users' 'searching/understanding' news literacy self-efficacy positively influenced their consumption of new types of news media, whereas users' 'sharing/expressing' news literacy self-efficacy positively influenced their consumption of traditional news media. As a result, this study practically suggests how news literacy is associated with the important factors affecting news consumption and news education.

A Study on the Effects of Digital Co-Teaching on Reading Literacy (디지털 협력수업이 독서 리터러시에 미치는 효과 연구)

  • Juhyeon, Park;Bong-Suk Kang
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.211-230
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    • 2023
  • The purpose of this study is to confirm the effect of digital co-teaching between teachers online on improving students' reading literacy. In order to achieve the purpose of the study, a pre-test was conducted on first-year high school students, and a post-test was conducted after conducting the co-teaching over two sessions. For statistical analysis, the data of 101 students with no missing values in pre- and post-tests were used. Through the OECD's PISA reading literacy evaluation framework and factor analysis, a reading literacy test tool consisting of expression, comprehension, and information literacy was developed and the degree of change in reading literacy was measured through a self-report with the tool. As a result of the analysis, it was confirmed that the digital co-teaching had a statistically significant positive effect on the expression, comprehension and information literacy of high school students. This study is meaningful in that it shows that digital co-teaching can be applied as a way to improve reading literacy in PISA organized by the OECD.

An Ethnographic Study on the Digital Literacy Practices of Role-Players in a Massively Multiplayer Online Role-Playing Game (대규모 멀티 플레이어 온라인 롤 플레잉 게임 참여자의 디지털 리터러시 활용 관행에 관한 민족지학적 연구)

  • Hollister, Jonathan M.
    • Journal of Korean Library and Information Science Society
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    • v.50 no.4
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    • pp.429-467
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    • 2019
  • Various digital literacy and critical competencies are crucial for success in the information and media-rich 21st century game of life. This study explores and describes the digital literacy practices of role-players in WildStar, a science fantasy Massively Multiplayer Online Role Playing Game (MMORPG). Active role-players create and participate in group-driven interactive stories while in-character. A hybrid ethnographic method integrating overt participant observation and engagement, collection of community artifacts across multiple sites (such as wikis, discussion boards, and social media), and semi-structured interviews was employed to understand how role-players seek, use, evaluate, and manage information, media, and technology. Role-players used various media and technologies to supplement, simplify, and make role-playing more immersive. The relative digital literacy skill levels of individuals varied, leading role-players to leverage the skills of more proficient or experienced community members. Given the broad appeal of online games and educational benefits of role-playing, implications and applications for digital literacy skills instruction and library programming are also discussed.

Development of Self Assessment Tool for Digital Literacy Competence (디지털 리터러시 역량의 자기진단 평가도구 개발)

  • Yang, Kilseok;Seo, Soohyun;Ok, Hyounjin
    • Journal of Digital Convergence
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    • v.18 no.7
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    • pp.1-8
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    • 2020
  • This study aimed to develop a self-reporting assessment tool for digital literacy competence to use it as a tool for self-diagnosis or effectiveness verification in educational programs, considering that digital literacy competence is one of the core competencies for the present and future society. Based on the previous research on digital literacy competence, the tool was developed with 45 question items of 2 areas and 8 factors. The results of an exploratory factor analysis and confirmatory factor analysis conducted to determine suitability were generally satisfactory based on the assessment data from about 3,000 middle school students. The assessment tools developed in this study are primarily applicable to primary and secondary school and adult education. In future research, if the system is developed to be accessible to anyone online based on this tool, and the accumulated data provide educational information for each individual's self-development, it will greatly contribute to improving the digital literacy competence of the people.

Effects of Information Literacy and Motivation Factors on Information Representation Capability and Information Contribution (정보리터러시와 동기요인이 정보표현능력과 정보공헌에 미치는 영향)

  • Kang, Jae-Jung;Kim, Yoo-Jung
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.97-108
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    • 2017
  • Web 2.0 paradigm and technologies allow users to contribute their information voluntarily and actively to online community. This paper aims to investigate key determinants of information contribution in online communities. We come up with the research model and proposed hypotheses on the basis of intensive literature review on motivation theory, information literacy, and self expression. Using survey response date collected from those who have ever experienced in uploading or providing information on online community such as social media. A total of 262 survey responses were used to test research hypotheses. The results show that self expression motive influences on information representation capability(IRC) and information contribution. The impact of Information literacy on IRC is found to be significant, and IRC is positively related to information contribution. In addition, approval motive is proven to be key determinant of IRC and information contribution. Some practical implications of these findings are discussed.

A Study on the Development and Validation of Digital Literacy Measurement for Middle School Students

  • Hee Chul Kim;Ji Young Lim;Iljun Park;Myoeun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.9
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    • pp.177-188
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    • 2023
  • The purpose of this study is to develop and validate a scale for measuring digital literacy by identifying the factors consisting of digital literacy and extracting items for each factor. Preliminary items for the Delphi study were developed through the analysis of previous literature and the deliberation of the research team. As a result of two rounds of the expert Delphi study, 65 items were selected for the main survey. The validation of the items was carried out in the process of exploratory and confirmatory factor analyses, reliability test, and criterion validity test using the data collected in the main survey. As a result, a 4-factor structure composed of 31 questions(factor 1: digital technology & data literacy- 9 questions, factor 2: digital content & media literacy- 8 questions, factor 3: digital communication & community literacy- 9 questions, factor 4: digital wellness literacy - 5 questions) was confirmed. Also, the goodness of fit indices of the model were found to be good and the result of reliability test revealed the scale had a very appropriate level of Cronbach's alpha(α=.956). In addition, a statistically significantly positive correlations(p<.001) were found between digital literacy and internet self-efficacy and between digital literacy and self-directed learning ability, which were predicted in the existing evidence, therefore the criterion validity of the developed scale was secured. Finally, practical and academic implications of the study are provided and future study and limitations of the study are discussed.