• Title/Summary/Keyword: 데이터 리터러시

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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.

An Analysis of Sub-factors of Digital Media Literacy Divide: Focusing on the effects of generation and economic status (디지털 미디어 리터러시 격차의 세부요인 분석 - 세대와 경제수준을 중심으로)

  • Ahn, Jung Im;Seo, Youn Kyung
    • Journal of Digital Convergence
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    • v.12 no.2
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    • pp.69-78
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    • 2014
  • This study aims to analyze the current state and causes of digital media literacy divide according to its sub-factors. The effects of the generation and the economic status, among other variables, have been explored using empirical data from a large-scale survey of 2,171 media users including children, adolescents, adults and the elderly. The results showed that the effects of generation and economic status varied according to 8 components of digital media literacy. The economic status of media users has also been found to influence the divide among adults group and through the interaction effect with the generation factor. Policy suggestions for the solution of digital media literacy divide were discussed in conclusion.

A Study of the Definition and Components of Data Literacy for K-12 AI Education (초·중등 AI 교육을 위한 데이터 리터러시 정의 및 구성 요소 연구)

  • Kim, Seulki;Kim, Taeyoung
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.691-704
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    • 2021
  • The development of AI technology has brought about a big change in our lives. The importance of AI and data education is also growing as AI's influence from life to society to the economy grows. In response, the OECD Education Research Report and various domestic information and curriculum studies deal with data literacy and present it as an essential competency. However, the definition of data literacy and the content and scope of the components vary among researchers. Thus, we analyze the semantic similarity of words through Word2Vec deep learning natural language processing methods along with the definitions of key data literacy studies and analysis of word frequency utilized in components, to present objective and comprehensive definition and components. It was revised and supplemented by expert review, and we defined data literacy as the 'basic ability of knowledge construction and communication to collect, analyze, and use data and process it as information for problem solving'. Furthermore we propose the components of each category of knowledge, skills, values and attitudes. We hope that the definition and components of data literacy derived from this study will serve as a good foundation for the systematization and education research of AI education related to students' future competency.