• Title/Summary/Keyword: data information literacy

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A Study about the Concept of Data Literacy based on Digital Humanities (인문학 기반 데이터 리터러시 개념에 대한 연구)

  • Han, Sang Woo
    • 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.

Re-approach to the Concept of Data Literacy and Its Application to Library Information Services (데이터 리터러시 개념에 대한 재접근 및 도서관 정보서비스에의 적용)

  • Lee, Jeong-Mee
    • 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.

Proposed Data Literacy Competency Framework through Literature Analysis

  • Hyo-suk Kang;Suntae Kim
    • 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.

A Study on Design of Data Literacy Model Based on Digital Humanities (인문학 기반 데이터 리터러시 모형 설계에 관한 연구)

  • Han, Sang Woo
    • 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.

Development of ASEAN Network Model on Information Literacy

  • Sacchanand, Chutima
    • Journal of Information Science Theory and Practice
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    • v.10 no.1
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    • pp.18-29
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    • 2022
  • This study aimed at overviewing the situation of information literacy education and research in the Association of Southeast Asian Nations (ASEAN) region, and developing an ASEAN network model on information literacy. This research used documentary and qualitative research methods. Key resources consisted of twenty bibliometric studies and related documents and two groups of key persons. The first group consisted of twenty-seven purposive key persons from eight countries, and the second group consisted of seven key persons from five countries. The research instruments comprised a data collection form and focus group/ interviewing forms. Data was collected by focus group discussion and online interviews, and qualitative content analysis was used in data analysis and presented descriptively. Research findings showed that: 1) information literacy education and research in the ASEAN region varied across countries and placed importance on the educational context. Singapore was found to be the most leading and productive country in ASEAN in information literacy with the highest number of journal articles on the international scale, and was among the most contributing groups at the regional and global level; 2) the ASEAN Network on Information Literacy (ASEAN-NIL) has been developed as a model with its principles, objectives, management system, activities, and promotion strategies. Its strengths are an integrated scope, multidimensional orientation, and interdisciplinary and collaborative partnerships at the national, regional, and international level, suitable for the ASEAN context, the online environment, and the digital educational ecosystem.

The Relationship between Information Literacy and Developmental Trends in Early Childhood (유아의 정보화 능력에 따른 유아발달 경향 탐색)

  • Jo, Jun-Oh;Hwang, Hae-Ik
    • Korean Journal of Child Studies
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    • v.32 no.5
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    • pp.151-165
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    • 2011
  • The purpose of this study was to examine the relationship between the information literacy of preschoolers and their developmental trends. The subjects in this study were 122 preschoolers. After taking tests in information literacy and early childhood development, the collected data was analyzed. The findings of the study were as follows : First, there were gaps among the preschoolers in the level of early childhood development according to the relative levels of their information literacy. When a post-hoc analysis was carried out to investigate intergroup differences in detail, there were statistically significant gaps between the preschoolers with excellent information literacy and those with intermediate-or poor information literacy, and between the preschoolers with intermediate information literacy and those with poor information literacy. Second, the differences in terms of the levels of information literacy and the impact these differences made to their body, cognition, language, sociability and emotions which comprise the five subfactors of the early childhood development inventory were checked after the mutual influence of the five subfactors was controlled. As a result, statistically significant gaps were apparent in all the subfactors of early childhood development according to relative levels of information literacy. The preschoolers who had a better level of information literacy exhibited a statistically significantly better level of development in every subfactor.

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.

The Development and Application of the Big Data Analysis Course for the Improvement of the Data Literacy Competency of Teacher Training College Students (예비교사의 데이터 리터러시 역량 증진을 위한 빅데이터 분석 교양강좌의 개발 및 적용)

  • Kim, Seulki;Kim, Taeyoung
    • 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.

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.

A Study on the Factors Influencing Health Information Literacy of Adolescent (청소년의 건강정보 이해능력에 미치는 영향요인에 관한 연구)

  • Ko, Haesook;Kim, Seonghee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.31 no.1
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    • pp.357-377
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    • 2020
  • The purpose of this study was to investigate factors affecting the adolescent's health literacy. First, we examined whether information literacy affects adolescents' understanding of health information, and then analyzed how demographic statistics and various other characteristics of adolescents affect health literacy. Data was collected through a survey of 277 middle and high school students. The results of analysis of Multi-regression showed that information literacy was found to have a positive impact on adolescent's health literacy. In addition, factors such as gender, grade level, academic performance, health concern, and frequency of use of digital devices were statistically significant in their affect on adolescent's health literacy. The results of this study can be used as basic data to improve adolescent' comprehension of health information.