• Title/Summary/Keyword: 디지털 기술역량

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Analysis of Media and Information Literacy Education System, and Policies: Focusing on Public Libraries (미디어정보 리터러시 교육 제도 및 정책 분석 - 공공도서관을 중심으로 -)

  • Park, Juhyeon;Kim, Ji-Hyun;Lee, Myounggyu;Lee, Jisue;Hollister, Jonathan M.;Lee, Ji Won
    • Journal of Korean Library and Information Science Society
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    • v.53 no.3
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    • pp.315-341
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    • 2022
  • The goal of this study is to explore and draw implicaitons from international and domestic media and information literacy (MIL) policies and educational systems. To this end, international policy documents issued by UNESCO, IFLA, OECD, and the EU as well as domestic South Korean laws and policies related to MIL and the fuctions of public libraries and related institutions were analyzed. The findings show that international organizations recognize public libraries as institutions that are responsible for providing information access and supporting knowledge sharing for citizens within and outside of formal education systems. Additionally, public libraries are seen as institutions responsible for supporting lifelong learning and civic education, as well as improving media, information, and digital literacy skills of their communities. In South Korea, the Library Act gives public libraries and librarians responsibility for improving citizens' MIL to support the public's right to know and to narrow the information gap. However, the functions of public libraries and librarians in South Korea have been limited or excluded in the domestic MIL policies. This study concludes that public libraries and librarians are responsible for reducing the information gap among citizens and should actively participate in policy development to improve citizens' MIL skills.

Strategies for Increasing the Value and Sustainability of Archaeological Education in the Post-COVID-19 Era (포스트 코로나 시대 고고유산 교육의 가치와 지속가능성을 위한 전략)

  • KIM, Eunkyung
    • Korean Journal of Heritage: History & Science
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    • v.55 no.2
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    • pp.82-100
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    • 2022
  • With the crisis of the COVID-19 pandemic and the era of the 4th industrial revolution, archaeological heritage education has entered a new phase. This article responds to the trends in the post-COVID-19 era, seeking ways to develop archaeological heritage education and sustainable strategies necessary in the era of the 4th industrial revolution. The program of archaeological heritage education required in the era of the 4th industrial revolution must cultivate creative talent, solve problems, and improve self-efficacy. It should also draw attention to archaeological heritage maker education. Such maker education should be delivered based on constructivism and be designed by setting specific learning goals in consideration of various age-specific characteristics. Moreover, various ICT-based contents applying VR, AR, cloud, and drone imaging technologies should be developed and expanded, and, above all, ontact digital education(real-time virtual learning) should seek ways to revitalize communities capable of interactive communication in non-face-to-face situations. The development of such ancient heritage content needs to add AI functions that consider learners' interests, learning abilities, and learning purposes while producing various convergent contents from the standpoint of "cultural collage." Online archaeological heritage content education should be delivered following prior learning or with supplementary learning in consideration of motivation or field learning to access the real thing in the future. Ultimately, archaeological ontact education will be delivered using cutting-edge technologies that reflect the current trends. In conjunction with this, continuous efforts are needed for constructive learning that enables discovery and question-exploration.

A Study on the Smart(智慧) Museum in China: on the case of Dunhuang Museum, The Palace Museum, China Arts and Crafts Master Museum (중국 스마트(智慧) 박물관에 관한 연구: 둔황 박물관, 고궁 박물관, 중국공예미술대사 박물관 사례를 중심으로)

  • BO KYONG KIM
    • Journal of Internet of Things and Convergence
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    • v.9 no.3
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    • pp.69-74
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    • 2023
  • Smart museums based on the growth of online exhibition can be seen as in line with the movement of the 4th Industrial Revolution. By combining art and technologies, they enable viewers to experience culture and art. This study examined the cases of the Dunhuang Museum, the Palace Museum, and the China Arts and Crafts Master Museum to assess or identify how China is leading by accepting the technology of the fourth industry and applying the technology. In common, Chinese smart museums are widely used for collecting enviromental data, establishing integrated digital applications, and preserving collections, services, management, and exhibitions through VR, and AR. Through the case of the Chinese Smart Museum, this study identified the online exhibition as a space that exists in another dimension rather than an image replica with excellent operational utility. Therefore, online exhibitions are the best medium to expand the space, and viewers can explorethe museum's exhibition room and engage with all the contents of the museum without visiting the museum in person. Through the online exhibition of smart museums, visitors and viewers can be transformed into more active cultural consumers and develop collective capabilities.

3D Simulation Study to Develop Automated System for Robotic Application in Food Sorting and Packaging Processes (식품계량 및 포장 공정 로봇 적용 자동화 시스템 개발을 위한 3D 시뮬레이션 연구)

  • Seunghoon Baek;Seung Eel Oh;Ki Hyun Kwon;Tae Hyoung Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.230-238
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    • 2023
  • Small and medium-sized food manufacturing enterprises are largely reliant on manual labor, from inputting raw materials to palletizing the final product. Recently, there has been a trend toward smartness and digitization through the implementation of robotics and sensor data technology. In this study, we examined the effectiveness of improvement through 3D simulation on two repetitive work processes within a food manufacturing company. These processes involve workers whose speed cannot match the capacity of the applied equipment. Two manual processes were selected: the weighing and packing process performed by workers after skewer assembly, and the manual batch process of counting randomly delivered frozen foods, packing (both internal and external), and palletizing. The production volume, utilization rate, and number of workers were chosen as verification indicators. As a result of the simulation for improving the 3D process, production increased by 13.5% and 56.8% compared to the existing process, respectively. This was particularly evident in the process of applying palletizing robots. In both processes, as the utilization rate and number of input workers decreased, robots could replace tasks with high worker fatigue, thereby reducing work overload. This study demonstrates the potential to visually compare the process flow improvement using 3D simulations and confirms the possibility of pre-validation for improvement.

Evidence-based Practices Convergence Issues for Advancement of Performance Analysis of Duksung Women's University Extracurricular Activities (덕성여자대학교 비교과교육과정 성과분석 고도화 근거기반 실제(evidence-based practices) 융합 쟁점)

  • Kim, Young-Jun;Kwon, Ryang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.123-134
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    • 2021
  • This study was conducted for the purpose of convergence exploration of evidence-based practices for the advancement of performance analysis of the extracurricular activities at Duksung Women's University. The research method consisted of an expert meeting procedure along with a procedure for analyzing previous studies dealing with the performance analysis of the university's extracurricular activities in the field of pedagogy. The contents of this study consisted of presenting some facts that should be based on evidence for the advancement of performance analysis of the extracurricular activities after the establishment of the center for extracurricular activities in Duksung Women's University. And in practices, the development and diagnostic analysis of tools for diagnosing extracurricular customized learning capabilities, data-based multidimensional analysis (IR system), continuous monitoring analysis through extracurricular certification, and analysis based on feedback tools were presented in a convergence perspective and context. As a result of the study, the evidence-based practices for the advancement of the performance analysis of the extracurricular activities at Duksung Women's University guarantees the validity and stability of the performance evaluation and feedback system of the extracurricular activities at Duksung Women's University, and has a close influence on the extracurricular education work of other universities analyzed as possible.

Suggestions for the Independent Body in the era of Artificial Intelligence Choreography (인공지능 안무 시대의 주체적 몸을 위한 제언)

  • Yim, Sujin
    • Trans-
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    • v.12
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    • pp.1-19
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    • 2022
  • This study predicts and raises the changes that AI will bring to dance art when machine-based choreography began, and finds questions we can ask as human artists. Research suggests that one of the crises of dance in the era of machine creative arts is that artificial intelligence does not stay in the tool of human choreography but becomes the subject of choreography. It is based on the political discourse of choreography that artificial intelligence has the power to control and restrict human dancers. This comes from a sense of crisis that the AI takes over the area of choreography and the human choreographer remains an incompetent coordinator, and as a result, the dancer's dancing body can be reduced to a mechanical body controlled by AI. In order for these concerns not to become a reality, this study proposes three measures. First, choreographer and dancer should develop digital literacy to live in the age of AI art. Secondly, choreographer should acquire the ability to accurately distinguish the roles of human choreographer, dancer, and AI in creative work. Thirdly, various levels of discourse on AI dance should be formed by actively conducting mutual media research of dance and technology. Through these efforts, the human dancer will exist as a subject of art, not a passive agent in the new dance ecosystem brought by the innovation of artificial intelligence technology and will be able to face an era coexistence with artificial intelligence creativily and productively.

The Impact of Voucher Support on Economic Performance for AI Companies: Policy Effectiveness Analysis using PSM-DID Model (AI 중소기업 바우처 지원이 기업성과에 미치는 영향: PSM-DID 결합모형을 활용한 정책효과 분석)

  • SeokWon, Choi;JooYeon, Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.1
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    • pp.57-69
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    • 2023
  • In a situation where digital transformation using artificial intelligence is active around the world, the growth of domestic AI companies or AI industrial ecosystems is slow. Where a large amount of government funds related to AI are being invested to overcome the difficult economic situation, systematic research on the effect is insufficient. So, this study aimed to examine the policy effectiveness of the government artificial intelligence solution voucher support project for small and medium-sized enterprises (SMEs) using Propensity Score Matching (PSM) and Difference-in-Differences (DID) on the financial performance of beneficiary companies. For empirical analysis, PSM-DID analysis was performed using sales performance since 2019 for 461 companies with a history of voucher support among the AI SMEs data released by the National IT Industry Promotion Agency. As a result of the analysis, the beneficiary companies' asset growth, salary, and R&D expenses increased overall after government support, and no significant contribution could be confirmed in terms of profits. This study suggests that the voucher policy business directly contributed to the company's growth in the short term, but it requires a certain period of time to generate profits.

A Study on Development of Customized Education and Training Model Using Online Learning Platform (온라인학습플랫폼을 활용한 맞춤형 교육훈련 모델 수립방안에 관한 연구)

  • Rim, Kyung-hwa;Shin, Jung-min;Lee, Sookyoung
    • Journal of Practical Engineering Education
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    • v.11 no.1
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    • pp.75-86
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    • 2019
  • Globally, the change in higher education is gradually moving toward a trend that seeks a change in innovative higher education through the revitalization of digital-based education. Accordingly, this study designed a customized education model based on e-learning that can be used in undergraduate education and development of lifelong vocational skills. The use of online learning platforms and the expansion of education are major factors that change the overall higher education system as the form and content of curriculum changes around the world. In order to establish a customized education model using online learning platform, this study analyzed major overseas advanced education cases and selected the basic direction of customized learning as personalized learning, competency based learning, and training for talents leading the 4th Industrial Revolution. Then, FGI was conducted for undergraduate and lifelong vocational ability development experts. As a result, a customized education model using an online learning platform was derived from a degree-type model available in undergraduate education and a non-degree-type model available in the field of lifelong vocational ability development, and each operation strategy was suggested.

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.

Study on the Mathematics Teaching and Learning Artificial Intelligence Platform Analysis (수학 교수·학습을 위한 인공지능 플랫폼 분석 연구)

  • Park, Hye Yeon;Son, Bok Eun;Ko, Ho Kyoung
    • Communications of Mathematical Education
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    • v.36 no.1
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    • pp.1-21
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    • 2022
  • The purpose of this study is to analyze the current situation of EduTech, which is proposed as a way to build a flexible learning environment regardless of time and place according to the use of digital technology in mathematics subjects. The process of designing classes to use the EduTech platform, which is still in the development introduction stage, in public education is still difficult, and research to observe its effects and characteristics is also in its early stages. However, in the stage of preparing for future education, it is a meaningful process to grasp the current situation and point out the direction in preparation for the future in which EduTech will be actively applied to education. Accordingly, the current situation and utilization trends of EduTech at home and abroad were confirmed, and the functions and roles of EduTech platforms used in mathematics were analyzed. As a result of the analysis, the EduTech platform was pursuing learners' self-directed learning by constructing its functions so that they could be useful for individual learning of learners in hierarchical mathematics education. In addition, we have confirmed that the platform is evolving to be useful for teachers' work reduction, suitable activities, and evaluations learning management. Therefore, it is necessary to implement instructional design and individual customized learning support measures for students that can efficiently utilize these platforms in the future.