• Title/Summary/Keyword: AI 융합 교육

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Development of AI Convergence Education Model Based on Machine Learning for Data Literacy (데이터 리터러시를 위한 머신러닝 기반 AI 융합 수업 모형 개발)

  • Sang-Woo Kang;Yoo-Jin Lee;Hyo-Jeong Lim;Won-Keun Choi
    • Advanced Industrial SCIence
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    • v.3 no.1
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    • pp.1-16
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    • 2024
  • The purpose of this study is to develop a machine learning-based AI convergence class model and class design principles that can foster data literacy in high school students, and to develop detailed guidelines accordingly. We developed a machine learning-based teaching model, design principles, and detailed guidelines through research on prior literature, and applied them to 15 students at a specialized high school in Seoul. As a result of the study, students' data literacy improved statistically significantly (p<.001), so we confirmed that the model of this study has a positive effect on improving learners' data literacy, and it is expected that it will lead to related research in the future.

Research on development of operation manual for AI convergence education competency strengthening project (AI 융합교육 역량강화 지원사업 운영 매뉴얼 개발 연구)

  • Park, Juhyoung;Cha, Sunghyun;Jung, sungsoo;Lee, Sangshin
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.425-431
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    • 2021
  • In this study, in order to develop a manual for the AI convergence education competency strengthening project, project personnel were interviewed and an overall analysis of the business process was made. As a result of analysis, the manual includes methods to solve problems currently being raised in the field such as recruitment of graduate students, education program management, academic registration management, and budget management. In order to increase the continuity and efficiency of the project, it is necessary to build an administrative management site that provides information on the overall project, to strengthen publicity for general teachers about AI convergence education, and meet the educational needs and level of enrolled students.

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Establishment Plan on Personalized Training Model for Fostering AI Integrated Human Resource: Focusing on the Ministry of Employment and Labor's STEP as a Public Education and Training Platform (AI 융합형 인재양성을 위한 학습자 맞춤형 훈련프로그램 모델 수립 방안: 고용노동부의 STEP을 중심으로)

  • Rim, Kyung-Hwa;Shin, Jung-min;Lee, Doo-wan
    • Journal of Practical Engineering Education
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    • v.12 no.2
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    • pp.339-351
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    • 2020
  • In response to changes in Fourth Industrial Revolution in recent years, the field of education has focused on development of the human resources in the areas of artificial intelligence (AI: Artificial Intelligence) and industrial robot. Due to particular interest in these areas, the importance of developing integrated human resources equipped with artificial intelligence technology is emphasized in higher education and vocational competence development. In regards to rapid changing environment, this study created a program "Fostering personalized AI integrated human resource" and established an operational model correspond to latest personalized education trend. The established operational model was conducted twice using Delphi survey with experts in AI and innovative education in order to verify the suitability of program's basic structure, training process, and the sub-components of the operational strategy. The final training model was applied to the online vocational training platform (STEP) and a plan was proposed to establish a personalized training model to foster an AI integrated competent individual.

Investigating the Restructuring of Artificial Intelligence Curriculum in Specialized High Schools Following AI Department Reorganization (특성화고 인공지능학과 개편에 따른 인공지능 교육과정 개편 방안 연구)

  • EunHee Goo
    • Journal of Practical Engineering Education
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    • v.16 no.1_spc
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    • pp.41-49
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    • 2024
  • The advancement of artificial intelligence on a global scale is significantly transforming life. In the field of education, there is a strong emphasis on actively utilizing AI and fostering creatively integrated talents with diverse knowledge. In alignment with this trend, there is a paradigm shift in AI education across primary, middle, high school, as well as university and graduate education. Leading AI schools and specialized high schools are dedicated to enhancing students' AI capabilities, while universities integrate AI into software courses or establish new AI departments to nurture talent. In AI-integrated education graduate programs, national efforts are underway to educate instructors from various disciplines on applying AI technology to the curriculum. In this context, specialized high schools are also restructuring their departments to cultivate technological talent in AI, tailored to students' characteristics and career paths. While the current education focuses primarily on the fundamental concepts and technologies of AI, there is a need to address the aspect of developing practical problem-solving skills. Therefore, this research aims to compare and analyze essential educational courses in AI-leading schools, AI-integrated high schools, AI high schools, university AI departments, and AI-integrated education graduate programs. The goal is to propose the necessary educational courses for AI education in specialized high schools, with the expectation that a more advanced curriculum in AI education can be established in specialized high schools through this effort.

An Analysis Study of SW·AI elements of Primary Textbooks based on the 2015 Revised National Curriculum (2015 개정교육과정에 따른 초등학교 교과서의 SW·AI 요소 분석 연구)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.317-325
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    • 2021
  • In this paper, the degree of reflection of SW·AI elements and CT elements was investigated and analyzed for a total of 44 textbooks of Korean, social, moral, mathematics and science textbooks based on the 2015 revised curriculum. As a result of the analysis, most of the activities of data collection, data analysis, and data presentation, which are ICT elements, were not reflected, and algorithm and programming elements were not reflected among SW·AI content elements, and there were no abstraction, automation, and generalization elements among CT elements. Therefore, in order to effectively implement SW·AI convergence education in elementary school subjects, we will expand ICT utilization activities to SW·AI utilization activities. Training on the understanding of SW·AI convergence education and improvement of teaching and learning methods using SW·AI is needed for teachers. In addition, it is necessary to establish an information curriculum and secure separate class hours for substantial SW·AI education.

Development of an AI Education Program Converging with Korean Language Subject (국어 교과 융합 AI 교육 프로그램 개발)

  • Shin, Jineson;Jo, Miheon
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.289-294
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    • 2021
  • With the development of artificial intelligence, a wave of the 4th industrial revolution is taking place around the world. With the technologies such as big data and Internet of Things-based artificial intelligence, we are heading to a hyper-connected society where everything converges into one. Accordingly as educational talents in the era of artificial intelligence, we are pursuing the cultivation of creative convergence-type talents and emotional creative talents. With human creativity and emotion at the center, we should be able to collaborate with artificial intelligence and create new things by converging knowledge in various fields. By developing a program that combines humanities-oriented Korean language with engineering-oriented artificial intelligence, this research attempted to help students experience solving problems creatively by combining humanistic knowledge with engineering thinking skills. The educational program consists of two kinds of contents(i.e., "Books with AI" and "A Play with AI") and 15 classes that provide students with opportunities to solve humanities problems with artificial intelligence.

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Proposal for AI/SW Education of Machine learning based on the chemical element symbol image for the Utilizing Future Intelligent Laboratory (미래 지능형 과학실 활용을 위한 "화학원소기호 이미지 기계학습 AI·SW교육 프로그램" 제안)

  • Park, Min-Sol;Park, Ju-Bon;Park, Yu-Min;Cho, Young-Ju
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.629-632
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    • 2020
  • 현대사회는 4차 산업혁명 시대가 도래하면서 초연결, 초지능, 초융합 사회로 변화되고 있다. 최근 교육부는 많은 변화가 요구되고 있는 교육분야, 교육정책 방안으로 SW(소프트웨어)교육에 AI(인공지능) 교육까지 추가되야 한다고 제안하고 2024년까지 첨단 기술을 활용한 지능형 과학실을 구축한다고 밝혔다. 이에 본 논문에서는 정부의 교육정책 방안이 원활하게 진행될 수 있고 융합 교육 분야에서 활용될 수 있는 "미래 지능형 과학실 활용을 위한 화학원소기호 이미지 기계학습 AI·SW교육 프로그램"을 제안하고자 한다.

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A Case Study on AI-STEAM Education through Making Chatbot for Preservice Teachers (예비교사를 위한 챗봇 제작 AI-STEAM 교육 사례 연구)

  • Kim, Ji-Yun;Kim, Kwihoon;Lee, Tae-Wuk
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.135-138
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    • 2021
  • 본 논문에서는 예비교사를 위한 AI-STEAM 교육 사례로서 봇빌더를 활용한 챗봇 제작 교육을 실시하고 이를 바탕으로 챗봇 제작 AI-STEAM 교육을 위한 시사점을 제시하였다. 최근 관련 정책이 발표되는 등 인공지능 교육이 학교에서 실시되기 위한 기반이 마련되었다. 인공지능 교육이 학교 현장에 제대로 안착되기 위해서는 현직 교사들에 대한 보수교육 뿐 아니라 교육 및 사범대학의 교원양성과정에서도 인공지능 교육이 실시되어야 할 필요가 있다. 본 논문에서는 교사들의 인공지능 교사교육 요구를 바탕으로 AI-STEAM을 제안하고 다양한 전공의 예비교사를 위한 챗봇 제작 AI-STEAM 교양교육 및 학생 작품 사례를 제시하였다.

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A Study on the Perception of Artificial Intelligence Literacy and Artificial Intelligence Convergence Education Using Text Mining Analysis Techniques (텍스트 마이닝 분석기법을 활용한 인공지능 리터러시 및 인공지능 융합 교육에 관한 인식 연구)

  • Hyeok Yun;Jeongrang Kim
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.553-566
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    • 2022
  • This study collects social data and academic research data from portal sites and RISS, and analyzes TF-IDF, N-Gram, semantic network analysis, and CONCOR analysis to analyze the social awareness and current aspects of 'AI Literacy' and 'AI Convergence Education'. Through this, we tried to understand the social awareness aspect and the current situation, and to suggest implications and directions. In the social data, the collection of 'AI Convergence Education' was more than twice that of 'AI Literacy', indicating that awareness of 'AI Literacy' was relatively low. In 'AI Literacy', the keyword 'human' in social data showed no cluster to which it belonged, indicating a lack of philosophical interest in and awareness of humanities and AI. In addition, the keyword 'Ministry of Education' showed high frequency, importance, and centrality of connection only in the social data of 'AI convergence education', confirming that 'AI convergence education' is closely related to government policy.

AiMind: AI Experience and Physical Computing Education Platform (AiMind: AI 체험 및 피지컬컴퓨팅 교육 플랫폼)

  • Se-Hoon Lee;Ki-Tea Kim;Jay Yun;Do-Hyung Kang;Young-Ho Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.395-396
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    • 2023
  • 본 논문에서는 디지털 전환 시대에 모든 사람들이 인공지능(AI) 체험부터 피지컬컴퓨팅을 통해서 SW·AI 융합해 아이디어를 쉽게 구현하고 교육 받을 수 있는 플랫폼을 구현하였다. AI 체험을 위해 P5.js와 텐서플로우에 기반한 ML5.js 라이브러리를 이용해 블록 코딩을 할 수 있도록 하였다. 또한 피지컬컴퓨팅에서는 마이크로비트와 아두이노, 라즈베리파이 등을 WebUSB를 통해서 PC와 연결하고 플랫폼에서 인공지능의 다양한 서비스와 융합시킬 수 있도록 제공한다.

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