• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.629-638
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• 2018

The purpose of this study is to examine experts' conceptions of the competencies of future talent to live in the fourth industrial revolution. To this end, 144 experts in the education sector conducted conceptions survey on the talented for intelligence and information society. The main findings of the survey by experts are summarized as follows. First, the level of agreement on the competencies of the talented in the intelligence and information society was found in the order of 'creative convergence competencies', 'making competencies', 'character competencies' and 'specialization competencies'. Second, the highest level of agreement on the characteristic factors were found to be 'problem-solving ability' belonging to 'creative convergence competencies'. Finally the highest level of agreement on the characteristic components were found to be 'problem-solving ability' belonging to 'creative convergence competencies'.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.67-78
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• 2024

Amidst the onset of the Fourth Industrial Revolution and the prominence of artificial intelligence, societal structures are undergoing significant changes. There is a heightened global interest in AI education for nurturing future talents. Consequently, this research aims to develop an AI-integrated Korean language curriculum for first-year high school students, utilizing the ADDIE model for instructional program development. To assess the program's effectiveness, pre-post assessments were conducted on future core competencies (Collaboration, Communication, Critical Thinking, Creativity) and knowledge information processing skills. The curriculum, spanning nine sessions and incorporating four small projects, sought to provide students with a new experience of AI-integrated Korean language education. As a result, students who participated in the program demonstrated improvement in future core competencies across all areas, and positive outcomes were observed in satisfaction levels and qualitative analysis. Through these findings, it is suggested that this program successfully integrates artificial intelligence into high school Korean language education, potentially contributing to the cultivation of future talents among students.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1406-1409
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• 2012

최근 학문간 융합을 통한 STEAM 융합인재교육에 관한 연구가 활발하게 진행되고 있다. STEAM 교육은 과학, 기술, 공학, 예술 그리고 수학의 학문 영역을 유기적으로 융합하여 차세대 학습자들이 미래 사회에 필요한 핵심역량을 높일 수 있도록 하는 교육방식이다. 국가적인 차원에서 창의적인 융합인재를 위한 미래형 과학기술 교육을 중요하게 여기고 있으며, 과학기술 교육 패러다임에 변화를 기대하고 있다. 따라서 본 연구에서는 융합형 인재양성을 위한 집단지성 기반의 STEAM 교육 방안을 연구하고, 학습자의 과학기술에 대한 흥미와 이해를 높이고 융합적 사고와 문제해결 능력을 배양하기 위한 지능로봇 교육과정을 제시한다. 또한 집단 학습자들 간의 교육 적용 사례를 소개하고, 학습자의 만족도 분석을 통하여 검증하였다. 향후 본 연구의 결과로 집단 학습자의 학습 성취도를 향상시키고, 융합형 과학기술 인재양성 교육방안으로 발전하기를 기대한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.4
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• pp.21-62
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• 2016

Since talent model and core competence based training are in demand, this study aimed to develop proper talent model and major competencies for the Department of Library and Information Sciences at K University and propose appropriate educational subjects based thereon. To this end, related documents were analyzed, expert opinions were obtained, and a consumer survey was conducted, which yielded the following results. First, the talents required at the Department of Library and Information Sciences were broken down into different areas, such as curation, intelligence, service, technology, and professionalism. Second, fifteen major competencies were demanded from these talents, such as collection (in terms of collecting documents and information), organizational, and preservation skills. Third, in order to realize these talents and major competencies, K University has implemented additional subjects in its curriculum. Furthermore, it appears that the librarians' talents and their competencies in the field should be developed at the national level, while NCS core competence based training should also be developed and implemented.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.295-305
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• 2022

In the modern artificial intelligence society, the goal of education is to cultivate convergent talents who can adapt well to and lead the artificial intelligence society. The core competency required of convergent future talents is to be able to understand and create software well. In this respect, algorithmic education is very important. Therefore, in this study, an algorithm education program was developed to improve convergent thinking ability. The effectiveness was verified through the paired samples t-test by conducting a pre-post test of convergent thinking ability, and it was found that students' convergent thinking ability was significantly improved in the areas of algorithm knowledge and function.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.117-120
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• 2020

본 논문은 인공지능 메이커 교육과 관련한 요소를 논문 네트워크 키워드 분석과 다양한 빅데이터를 종합하여 핵심용어를 선정 후 인공지능 메이커 교육을 시스템 다이내믹스의 Vensim프로그램으로 인과지도(Casual Loop Diagramming)를 구조분석(모델의 구조)하여 예측 결과를 토대로 향후 미래 상황 추출 및 정책 결정 연구에 영향을 기여한다. 연구 결과 인공지능 교육 정책은 추후 인공지능 교육과 메이커 교육을 융합한 교육 관련 산업이 증대할 것으로 예측되며 교육 경쟁력 향상과 창의적 인재 양성, OTT를 이용한 인공지능 교육 콘텐츠 향상으로 학습에 활용성이 증대하게 된다. 또한 인공지능 교육 정책은 프로그래밍 교육으로 연결되어 성장기 학습자들의 사고력과 정서 발달에 도움 되며 다양한 교재 및 기기 등장으로 인한 학습에 다양성 역시 증가할 것으로 예측된다. 학교 차원에서는 교수·연구 지원 활동이 증가하여 수업 전문성을 가진 교사가 늘어나 학교 교육의 질은 확대되고 학부모는 인공지능 교육 정책에 긍정적으로 된다. 시스템 다이내믹스는 구조가 형태를 결정짓는다는 세계관에 기초하여 피드백 루프와 동태적 형태 유형을 파악하며 다양한 가능성이 존재하게 된다. 이는 추후 다양한 연구를 통해 인공지능 교육 정책 인과지도의 확대로 연결될 수 있음을 암시하며 본 논문을 통해 인공지능 교육 연구 확산에 시발점이 되었으면 한다.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.397-406
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• 2022

In this study, We confirmed the three major policy directions presented in "Educational Policy Direction and Core Tasks in the Age of Artificial Intelligence" announced by the government in 2020, and analyzed how the direction and key tasks are reflected in the policy from keywords selected from government policy data related to artificial intelligence education published between '20 and '22. It was extracted and analyzed how the direction and key tasks are reflected in the policy. As a result of text mining and the topic analysis, the direction of education set was analyzed and various types of activities for nurturing talents in the field of artificial intelligence were confirmed. Ultimately, the government's policy direction is to apply the '25 revised curriculum in earnest, while advancing and activating the AI education policy and allowing it to settle naturally in the field. It could be predicted that related policies and tasks would appear more and more.

• Journal of The Korean Association of Information Education
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• v.23 no.3
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• pp.229-235
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• 2019

By combining the elements of the game or game in education, it improves the interest of the students and improves academic achievement by creating an environment where they can participate directly. We propose a curriculum that can learn the core principles of the elementary curriculum through fusion. The proposed curriculum helps students to understand the principles of the elementary curriculum by learning the artificial intelligence method in board game form. Learning methods that incorporate such elements of the game will enable learners to learn the principles of IT so that they can develop their ability to understand objects from various perspectives and enhance their thinking skills. It is expected that the elementary artificial intelligence curriculum that incorporates the proposed gamification will contribute to the development of the information science curriculum, which has been highlighted recently from the 2015 curriculum.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.177-186
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• 2021

The 2015 revised curriculum is structured around the core competencies of the 21st century, this is in line with the world's flow of education, such as OECD Education 2030. A future practical leading model was studied to provide a variety of creative teaching and learning experiences to elementary and Secondary students using intelligent information technology to cultivate core competencies such as ICT and computing thinking. In order for this practical model to stably settle the school field, the training was planned and operated to strengthen the creative convergence education capacity required by the teachers at the unit school through various types of the training. In particular, a nationwide administrators training program was operated for three years, reflecting the new curriculum, teaching and learning methods, and evaluation that can lead to future convergence talent training. In this paper, the perception of creative convergence education was investigated and analyzed considering the influence that administrators may have on the school field. Based on this, through the three-year operation results of the training, it was intended to establish a new training method for stable access to future creative convergence education under the post-corona era's social issues.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.263-264
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• 2013

기존의 도서관 정보서비스는 도서관 업무담당자에 의한 1:n 방식의 온라인 지식서비스만을 강조하였다면 스마트 도서관시스템에서는 빅데이터를 통해 지식을 생성, 검증, 분류하여 지능형지식, 실감형지식, 맞춤형지식, 체험형지식 등을 제공할 수 있다. 또한 빅데이터를 활용한 다자간 콘텐츠 공유, 상호 의견 교환이 가능하며, 집단지성에 의해 구축되는 학습 콘텐츠 및 지식 베이스는 국가의 지식자원 경쟁력을 향상시킬 수 있으며, 차세대 이러닝 환경에서의 지능형 튜터링을 통해 창의적 인재육성, 공교육의 질적 향상, 사교육비 절감, 교육 기회 균등 배분, 지역 및 계층 간 위화감 해소 등 국가정책 목표 실현할 수 있다. 제안된 빅데이터 기반의 스마트도서관 정보서비스시스템에서는 멀티테넌트 환경에서 구현이 가능한 핵심요소들을 개발하였다. 그러므로 초기 투자비용이 거의 없고, 쉽고, 간편하며, 저비용 IT 서비스가 가능한 SaaS 기반의 소프트웨어 온-디멘드 방식의 서비스 모델로 시스템을 구현하였다. 또한 연결방식으로는 N고객:1인스턴스, 제공 프로그램은 동일한 코드 사용, 커스터마이징은 고객이 테넌트별 환경 설정을 통해서 직접 수정가능, 데이터는 테넌트별 자료를 공유해서 사용할 수 있으며 기존의 디지털도서관 시스템 서비스의 단점을 해결할 수 있도록 성능을 개선하였다.