• Title/Summary/Keyword: 디지털 정보역량

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Analysis of Learner Satisfaction by Contents in Basic Software Education of College of Humanities

  • Shin, Seung-Hun;Seo, Joo-Young
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.251-261
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    • 2020
  • Based on the recent consensus on the need for software education, software education has become mandatory in universities in Korea. However, the suitability of class contents and the relationship between class contents and learner satisfaction has not been fully discussed. Therefore, in this paper, we analyzed the suitability of the contents used in the basic software education for the humanities students from the learner's perspective. For this purpose, three types of curriculum, which are 'computer science', 'usage of tools, and humanities in the digital world' and 'computational thinking', were compared using the lecture assessment questionnaire. As a result, we found that the learners evaluated positively over the curriculum that focused on the use of tools, the humanities approach, or the thinking ability rather than the theoretical contents of computer science. We also found that the subjects related to computer science could not give high satisfaction due to their unfamiliarity, relatively low academic value was given to the tool-centered curriculum, and fatigue was expressed in discussion-based thinking ability education.

A Study on the Implications through Analysis of Policy for Computer Science Education in France (프랑스의 소프트웨어 교육 체제 분석을 통한 시사점 고찰)

  • Bae, Youngkwon;Shin, Seungki
    • Journal of The Korean Association of Information Education
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    • v.23 no.4
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    • pp.385-394
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    • 2019
  • Computer education in France has begun in the 1960, and the education system covering elementary and middle school was completed in 2018. Since the industrialization of France, the research on the instructional method and system on computer science education had been conducted for over 60 years as a core skill to prepare for the future society. There are four major implications we have figured out in this study. First, each achievement goal to be achieved is set based on the hierarchy of school grades. Second, the full establishment of computer science education was completed in three years after the curriculum was announced in France. Third, the contents are presented to enhance problem solving ability through programming algorithms based on the balance between computer literacy and the concepts of computer science. Fourth, the contents of integrated computer science education is considered with in the lower grades of elementary school, and it is proposed to deepen understanding and programming of computer literacy and the concept of computer science as the grade and school level get higher.

Big Data Analysis Using on Based Social Network Service Data (소셜네트워크서비스 기반 데이터를 이용한 빅데이터 분석)

  • Nam, Soo-Tai;Shin, Seong-Yoon;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.165-166
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    • 2019
  • Big data analysis is the ability to collect, store, manage and analyze data from existing database management tools. Big data refers to large scale data that is generated in a digital environment, is large in size, has a short generation cycle, and includes not only numeric data but also text and image data. Big data is data that is difficult to manage and analyze in the conventional way. It has huge size, various types, fast generation and velocity. Therefore, companies in most industries are making efforts to create value through the application of Big data. In this study, we analyzed the meaning of keyword using Social Matrix, a big data analysis tool of Daum communications. Also, the theoretical implications are presented based on the analysis results.

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Analysis of the Global Data Law & Policy and its Implications: Focusing on the cases of the United States, the United Kingdom, and the European Union (국내외 데이터법·정책 분석 및 시사점: 미국, 영국, EU의 사례를 중심으로)

  • Yoon, Sang-Pil;Kwon, Hun-Yeong
    • Informatization Policy
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    • v.28 no.2
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    • pp.98-113
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    • 2021
  • This study presents implications of the Global Data Law & Policy by comparing national data strategies, data regulations and policies, and governance in South Korea, the United States, the United Kingdom, and the European Union. According to the result of the comparative analysis, the biggest difference is in data governance, in other words, the management and coordination of policies at the pan-government level and data ethics. Therefore, this study proposes the establishment of a presidential special committee on data policy or the creation of a 'National Digital Innovation Office' at the Presidential Secretariat as a national CDO for the governance of data policies. Furthermore, this paper suggests a) to enact 'the Framework Act on the Development of Data Industry' that can regulate data practices in the private sector, b) to institutionalize the data-centric security and data protection, c) to settle the public ethics and personnel management based on data expertise and professional ethics, including explainability and responsibility, and d) the education and training systems.

Network Technology-based Aesthetic Practices: Focused on the Digital Activism of Electronic Disturbance Theater (네트워크 테크놀로지 기반의 미적 실천: 전자교란극단의 디지털 행동주의를 중심으로)

  • Shan Lim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.215-220
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    • 2023
  • Network technology used as a physical interface to retrieve, store, and exchange data is leading the era of data capitalism in the 21st century. The capacity of network technology dominates almost all communication in everyday life, and makes social understanding and experiences in the physical world visible in cyberspace. The movements of human bodies and objects in cyberspace are placed in a social context. This paper paid attention to these phenomena and examined the cases of activism that raised real problems through cyberspace. In particular, the focus of the study is the digital activism of the Electronic Disturbance Theater, which combines critical art and thinking for democracy with the realm of information and demonstrates aesthetic imagination. The first chapter of the main body briefly outlines the meaning activism as a social movement in cyberspace. The second chapter looks back on the alternatives of <FloodNet>, which represents the early activism performance of EDT. And then in the last chapter, the poetic significance of the <Transborder Immigrant Tool> is analyzed. Through this process, this paper demonstrates that the activism performance of the EDT is a critical aesthetics that encourages imagination for alternatives. It also argues that Electronic Disturbance Theater has contemporary value as an avant-garde art that actively utilizes the medium of network technology and integrates performance art and politics.

An Investigation on Core Competencies of Data Curator (데이터 큐레이터의 핵심 직무 요건 고찰에 관한 연구)

  • Lee, You-Kyoung;Chung, EunKyung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.26 no.3
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    • pp.129-150
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    • 2015
  • As the digital technologies and internet have advanced, data have centered in the process of meaningful scientific ramifications and policy making in a wide variety of fields. Data curator in charge of managing data plays a significant role in terms of improving the effectiveness and efficiency of data management and re-uses. The purpose of this study is to identify the core competencies for data curator. For achieving the purpose of this study, two sets of data were collected. First, a total of 255 job descriptions were collected from the web sites including ARL, Digital Curation Exchange, Code4lib, ASIS&T JobLine for the period of 2011-2014. Second, in-depth interviews with five data curators from four diverse organizations were collected. The two sets of data were analyzed into seven categories identified from the related studies. Findings of this study showed that core competencies for data curator were identified into four categories, communication skills, data management techniques, knowledge and strategies for data management, and instructions and service provisions for users. The implications of this study can be considered as integrated and professional curriculum developments for data curator with core competencies.

A Study on Methods for Korean Colleges to Participate in Higher Vocational Education Area of Official Development Assistance (국내 전문대학의 고등직업교육 분야 공적개발원조(Official Development Assistance) 참여방안에 관한 연구)

  • Lee, Tae-Jung;Yun, Woo-Young
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.47-55
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    • 2021
  • Firstly, our Technical and Vocational Education and Training(TVET) ODA currently uses 70% of its budget on short-term assistance project works without much consideration for continuity from one project to another. Secondly, TVET ODA budget is much too concentrated on hardware support, lowering impact compared to the amount invested. Lastly, there is a lack of research on the needs of recipient nation which leads to lowering effectiveness of TVET ODA. This Study analyzed the characteristics of Korea's TVET ODA through the statistical data analysis of ODA. This study's main focus is to recommend methods for Korean colleges to overcome tendencies and limitations of TVET within Korea's ODA. Colleges have advantages in training students to fit needs of the market and companies based on decades of experience colleges have on academic-industrial collaboration. Colleges can also transfer qualification verification systems to fit the recipient country and dispatch TVET related personnel to strengthen software support. Additionally, the post project evaluation and post job placement management capabilities of colleges can be actively used for post management of TVET projects. I hope that through this study, ways to increase participation of colleges in TVET ODA can be discussed in more variety.

Suggestions for Developing a Metaverse Platform for Educational Purpose: A Delphi Study

  • Hee Chul, Kim;Iljun, Park;Myoeun, Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.2
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    • pp.235-246
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    • 2023
  • In this paper, we propose suggestions for developing a Metaverse platform for educational purpose utilizing a Delphi study method with experts on Metaverse and digital education. 17 experts participated in the 1st study and 16 took part in the 2nd study, and data was collected via emails from January 5th to 10th for the 1st study and from January 12th to 17th for the 2nd study in 2022. Collected data in the 1st study was analyzed by applying content analysis. The results for the 1st study indicated that there were 120 sub-factors were derived from 7 main questions(the necessity of a Metaverse platform for future education, how to use the Metaverse platform for education to improve the capacities needed for future human resources, problems that may arise during education using the Metaverse platform, the functions that the Metaverse platform for education should have, the infrastructure and environment required when using the Metaverse platform for education, how to use the Metaverse effectively as a learning space, subjects and educational contents that will be effective if conducted on the Metaverse platform for education). The results for the 2nd study were presented by being ranked with calculated means of sub-factors for each question. Finally, based on the results, suggestions for building a Metaverse platform for educational purpose are stated and limitations of the study and possible future study are discussed.

The Application Methods of FarmMap Reading in Agricultural Land Using Deep Learning (딥러닝을 이용한 농경지 팜맵 판독 적용 방안)

  • Wee Seong Seung;Jung Nam Su;Lee Won Suk;Shin Yong Tae
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.2
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    • pp.77-82
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    • 2023
  • The Ministry of Agriculture, Food and Rural Affairs established the FarmMap, an digital map of agricultural land. In this study, using deep learning, we suggest the application of farm map reading to farmland such as paddy fields, fields, ginseng, fruit trees, facilities, and uncultivated land. The farm map is used as spatial information for planting status and drone operation by digitizing agricultural land in the real world using aerial and satellite images. A reading manual has been prepared and updated every year by demarcating the boundaries of agricultural land and reading the attributes. Human reading of agricultural land differs depending on reading ability and experience, and reading errors are difficult to verify in reality because of budget limitations. The farmmap has location information and class information of the corresponding object in the image of 5 types of farmland properties, so the suitable AI technique was tested with ResNet50, an instance segmentation model. The results of attribute reading of agricultural land using deep learning and attribute reading by humans were compared. If technology is developed by focusing on attribute reading that shows different results in the future, it is expected that it will play a big role in reducing attribute errors and improving the accuracy of digital map of agricultural land.

농업 정보화에 대한 인식 변화 빅데이터 연구: 코로나19 확산의 농어촌 정보화 인식 변화에 대한 영향을 중심으로

  • Lim, Seon Yeong;Lee, Jongtae
    • Agribusiness and Information Management
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    • v.13 no.1
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    • pp.41-56
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    • 2021
  • This study aims to understand the IT savvy degree and the keyword changes on the informatization issues in rural areas during the pandemic status of COVID-19. In the analysis result, we could understand that the informatization policies in rural areas have focused on reducing negative influences on the issues of university entrance exams and higher-level education and economic vulnerabilities. According to the sentiment analysis results on the keywords related to the informatization policies in rural areas, the IT-savvy performance - the improvement of the digital divide and IT utilization capabilities in rural areas - was positively understood. The study is one of the earlier studies considering the relationship between the pandemic of COVID-19 and informatization in rural areas. But still there are limitations of collecting more meaningful data and basic level keywords analysis because of the negative pandemic diffusion of COVID-19.