• Title/Summary/Keyword: 정보혁신성

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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.

Analysis of the Characteristics of Smart Platforms by Type of Community Participation (커뮤니티 참여 유형별 스마트 플랫폼 특성 분석)

  • Kwang-Woo, NAM;Erlando, Sulistia
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.119-135
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    • 2022
  • Digital platforms play crucial roles in terms of enabling and sustaining online communities. However, who really benefits from digital platform development, and what are the benefits digital platforms provide for the development of smart communities. This paper explores this question, the goal was to understand the links between digital platforms and smart communities, using the clustering methodology process to have a better understanding of characteristic of each digital platform, Twenty nine digital platforms is clustered and used as a study case. This paper explores how the categorization of digital platform characteristics encourages participation by a smart community, thus improving information and service delivery. On another side, the rise of digital platforms brings new challenges for policy maker to foster a smart community and firms the digital platform also offer benefits to giving effective and efficient service.

A Study on the Analysis and Improvement of the University Library Program Participating in ACE Project (ACE 사업에 참여한 대학도서관 프로그램 사례분석 및 개선방안 연구)

  • Seonkyung, Oh
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.335-356
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    • 2022
  • Universities contribute to the development of the country and society by cultivating professional manpower with knowledge and qualifications as democratic citizens through education and research activities. To this end, the government is improving the basic capabilities of universities and supporting autonomous innovation through university financial support projects. Since the financial support project differentially supports the government's finances limited to universities with a comparative advantage through fair evaluation, the role and function of the university library, a basic educational facility and core institution that supports education and research, is important. However, university libraries have not been able to actively participate in the government's financial support projects due to financial and manpower shortages, poor environments such as facilities, facilities, and spaces, and low participation rates for students. Therefore, this study investigated and analyzed the program operation cases of 18 university libraries in which libraries participated among 45 universities selected for the ACE project (2010-2016), derived problems and implications, and questioned the roles and achievements of university libraries. Based on the results, strategies and measures to be considered by university libraries in preparation for the government's university financial support projects were proposed.

A study on rethinking EDA in digital transformation era (DX 전환 환경에서 EDA에 대한 재고찰)

  • Seoung-gon Ko
    • The Korean Journal of Applied Statistics
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    • v.37 no.1
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    • pp.87-102
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    • 2024
  • Digital transformation refers to the process by which a company or organization changes or innovates its existing business model or sales activities using digital technology. This requires the use of various digital technologies - cloud computing, IoT, artificial intelligence, etc. - to strengthen competitiveness in the market, improve customer experience, and discover new businesses. In addition, in order to derive knowledge and insight about the market, customers, and production environment, it is necessary to select the right data, preprocess the data to an analyzable state, and establish the right process for systematic analysis suitable for the purpose. The usefulness of such digital data is determined by the importance of pre-processing and the correct application of exploratory data analysis (EDA), which is useful for information and hypothesis exploration and visualization of knowledge and insights. In this paper, we reexamine the philosophy and basic concepts of EDA and discuss key visualization information, information expression methods based on the grammar of graphics, and the ACCENT principle, which is the final visualization review standard, for effective visualization.

온라인 증권거래 서비스의 고객만족 요인에 대한 실증적 연구

  • Choe, Don-Hwang;Hong, Jae-Beom;Yang, Jeong-Sik
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2005.05a
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    • pp.161-175
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    • 2005
  • 본 연구에서는 온라인 증권거래 서비스 품질과 고객만족 나아가 고객행동을 분석한 연구이다. 이를 위해 설문조사를 실시하였으며 조사원이 직접 증권사 객장을 방문하여 운라인 증권거래경험이 있는 고객을 대상으로 설문조사를 실시하였다. 이를 위해 40개 증권사, 420여개설문이 회수되었다. 분석결과, 첫째, 온라인 증권거래를 이용하는 고객층을 분석하면, 여성보다는 남성이 온라인 증권거래를 활발히 이용하고 있으며 연령별로는 40대, 50대, 30대 순으로 나타났으며 직업은 대부분 근로생활자가 많이 활용하고 있는 것으로 나타났으며 전체 50%이상이 매일 접속하고 거래하는 것으로 나타났으며 운영 규모는 1천만원이하가 다수로 나타났다. 둘째, 온라인 증권거래 서비스 품질요인으로 지각된 신뢰성, 지각된 편의성, 지각된 유형성, 지각된 응답성 순으로 고객만족에 영향을 미치는 것으로 나타났다. 지각된 신뢰성은 약속된 서비스를 정확하게 수행하는 능력에 대한 지각으로 나타내며, 지각된 편의성은 온라인증권거래를 이용하기에 얼마나 용이한 지에 대한 지각을 나타낸다. 지각된 유형성은 물적 시설, 장비, 사람, 의사소통 도구의 외형과 같은 부분에 대한 지각을 나타내는 것이다 지각된 응답성은고객을 돕고 즉각적인 서비스를 제공하려는 의지에 대한 지각을 나타낸다. 마지막으로 고객만족은 재이용이나 구전의도에 긍정적인 효과를 미치는 것으로 나타났다. 이러한 결과는 고객지향적인 온라인 증권거래 서비스 시스템 구축 및 운영이 이용확대에 중요한 요인임을 제시한다. 본 연구는 온라인 증권거래에 대한 고객만족의 탐색적인 연구로써 보다 심도 있는 연구를 위한 기초를 제공하였다는 점과 온라인 증권거래 성과측정요소로써 고객만족에 영향을 미치는 요인을 제시했다는 점에서 의미를 지닌다.에 의해 유도된 single-strand 절단을 억제하였다. 이상과 같이 간세포 일차배양에서 양파추출물은 t-BHP에 의해 유발된 간독성, 간세포 생존율 감소, 지질과산화를 농도 의존적으로 억제시켰고 또한 t-BHP에 의해 억제된 GSH-Px, GSH-Rd 및 catalase의 활성을 증가시켰다. 이와 같이 양파추출물의 간보호 및 항산화 효과는 항산화 효소, 특히 catalase의 활성 증가와 hydroxyl radical에 의해 유도된 산화억제 및 이에 따른 지질과산화 억제에 기인하는 것으로 사료된다.chno-economic paradigm)의 시각에서 제시하는 한국경제의 성장 ${\cdot}$ 고용 ${\cdot}$ 분배를 위한 정책방향은 다음과 같은 동태적발전과정으로 요약할 수 있다 : 기초과학연구능력 확충 ${\rightarrow}$ 소화 ${\cdot}$ 흡수 ${\cdot}$ 개량 ${\rightarrow}$ 토착화 능력의 배양 ${\rightarrow}$ 자체기술개발, 선진기술 도입, 산업간 및 산업내 기술확산, 국제기술협력 ${\rightarrow}$ 기술혁신의 촉진 ${\rightarrow}$ 총요소생산성과 기업경쟁력(자원 및 역량, 프로세스 경쟁력, 품질경쟁력, 시장경쟁력, 고객성과, 시장성과, 재무성과)의 제고 ${\rightarrow}$ 가격경쟁력(임금, 금리, 물류비용, 환율 등)과 비(非)가격경쟁력(디자인, 에프터서비스, 품질, 운송 등)의 제고 ${\rightarrow}$ 국가경쟁력의 제고 ${

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A Study on the Intention of Public Library Librarians to Use Artificial Intelligence-Based Technology (인공지능 기반 기술에 대한 공공도서관 사서의 사용의도 연구)

  • Gi Young Kim
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.163-190
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    • 2023
  • This study analyzed the effect of technology preparation and technology acceptance factors on the intention of public library librarians to use artificial intelligence-based technology using the technology acceptance model. To this end, a survey was conducted on public library librarians, and a total of 202 survey data were used for statistical analysis. As a result of the hypothesis test, first, optimism has a significant positive (+) effect on perceived usefulness, and discomfort has a significant negative (-) effect. Optimism and innovation on perceived ease of use were found to have a significant positive (+) effect, and discomfort was found to have a significant negative (-) effect. Second, perceived ease of use was found to have a significant positive (+) effect on perceived usefulness, and both perceived usefulness and perceived ease of use had a significant positive (+) effect on the intention to use. Third, optimism was found to have a significant positive (+) effect on the intention to use, and anxiety was found to have a significant negative (-) effect. This study is expected to provide basic data on the use of artificial intelligence technology in the future by empirically analyzing public library librarians' perceptions of artificial intelligence-based technology.

Exploring the Educational Use of Artificial Intelligence based on R mapping - Focusing on Foreign Publication Analysis Results - (R 매핑을 이용한 인공지능의 교육적 활용 탐색 -국외 문헌 분석을 중심으로-)

  • Kim, Hyung-Uk;Mun, Seong-Yun
    • Journal of The Korean Association of Information Education
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    • v.24 no.4
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    • pp.313-325
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    • 2020
  • There is a growing interest and need for the educational use of artificial intelligence as artificial intelligence technologies such as machine learning and deep learning, the core technologies of the intelligent information society, owing to the recent innovative technological advances. Consequently, the Ministry of Education announced the First Information Education Comprehensive Plan for introducing artificial intelligence competence enhancing education into the education field in preparation for the intelligent information society based on artificial intelligence technologies. Therefore, this study collected 416 overseas papers related to the educational use of artificial intelligence from the Web of Science (WoS) in order to explore the potential for using artificial intelligence educationally. This study analyzed the research status and research topic by country, citation counts, network analysis on keywords of the collected data by using the bibliometrix package of R program. Through this, it was possible to identify the research trend on the educational use of artificial intelligence, currently being conducted in foreign countries. It is believed that it will be possible to obtain implications for the topics and directions to be studied in the information education for strengthening artificial intelligence education based on the results of this study.

Semantic Multi-agents Framework for Ubiquitous Systems (유비쿼터스 시스템을 위한 시맨틱 다중 에이전트)

  • Choi Jung-Hwa;Park Young-Tack
    • Journal of KIISE:Software and Applications
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    • v.32 no.3
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    • pp.192-201
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    • 2005
  • For the past ten years, the goal of ubiquitous computing research has been the establishment of a new technology system with the aim 'Anytime, Anywhere, and Any form'. The needs for agent technology innovations such as ontology-based structure, ontology-based agent communication language, and multi-agents frameworks have been identified. This paper proposes a noble multi-agents architecture for ubiquitous systems. We suggest four major steps in the interaction between human and agents which enable ubiquitous agents to process by themselves to provide adaptive service to meet human's needs. First, we propose a semantic web technology to represent the association between information resources more explicitly Second, we construct a semantic ontology so that agents can recognize web contents.'Third, we propose a method to communicate between agents using OWL ontologies. Finally, we suggest a multi-agents structure based on the JADE of FIPA to analyze messages and get information. The semantic multi-agents framework proposed in this paper infers semantic situations using semantic web technology based on ontologies. A service provided is inferred differently according to user state because the multi-agents communicate by using OWL ontology language. Therefore, our system better infers context information than other without ontologies.

An SAO-based Text Mining Approach for Technology Roadmapping Using Patent Information (기술로드맵핑을 위한 특허정보의 SAO기반 텍스트 마이닝 접근 방법)

  • Choi, Sung-Chul;Kim, Hong-Bin;Yoon, Jang-Hyeok
    • Journal of Technology Innovation
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    • v.20 no.1
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    • pp.199-234
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    • 2012
  • Technology roadmaps (TRMs) are considered to be the essential tool for strategic technology planning and management. Recently, rapidly evolving technological trends and severe technological competition are making TRM more important than ever before. That is because TRM plays a role of "map" that align organizational objectives with their relevant technologies. However, constructing and managing TRMs are costly and time-consuming because they rely on the qualitative and intuitive knowledge of human experts. Therefore, enhancing the productivity of developing TRMs is one of the major concerns in technology planning. In this regard, this paper proposes a technology roadmapping approach based on function of which concept includes objectives, structures and effects of a technology and which are represented as Subject-Action-Object structures extractable by exploiting natural language processing of patent text. We expect that the proposed method will broaden experts' technological horizons in the technology planning process and will help to construct TRMs efficiently with the reduced time and costs.

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An Exploratory Study of Technology Planning Using Content Analysis & Hype Cycle (뉴스 내용분석과 하이프 사이클을 활용한 기술기획의 탐색적 연구: 클라우드 컴퓨팅 기술을 중심으로)

  • Suh, Yoonkyo;Kim, Si jeoung
    • Journal of Korea Technology Innovation Society
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    • v.19 no.1
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    • pp.80-104
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    • 2016
  • Existing methodologies of technology planning about promising new technology focused on target technology itself, so it is true that socio-environmental context which the relevant technology has influence on is not well understood. In this respect, this study is aimed to questingly examine that news content analysis methodologies widely available in the field of science communication can be applied as a complementary methodology for contextual understanding of socio-environment in terms of technology planning about promising new technology. In the co-evolutionary environment of technology-society, promising new technology shows hype phenomenon regarding the relation with the society. Based on this, this study performed news content analysis and examined if the consequences of analysis would match hype cycle. It tried to explore substantive content understanding by socio-environment factors according to specific news frame content. To do this, new content analysis was performed targeting cloud computing as a representative promising new technology. The result of news content analysis targeting general newspapers, business news, IT special newspapers revealed that the tendency of news reporting matched the trend of hype cycle. Particularly, it was verified that reporting attitude and news frame analysis provided useful information to understand contextual content depending on social, economic, and cultural environment factors about promising new technology. The results of this study implied that news content analysis could overcome the limitation of technology information analysis focusing on academic journal patent usually applied for technology planning and could be used as a complementary methodology for understanding the context depending on macro-environment factors. In conclusion, application of news content analysis on the phase of macro-environment analysis of technology planning could contribute to the securement of mutually balanced view in the co-evolutionary perspective of technology-society.