• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.223-231
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• 2021

Humanity faces the 4th industrial revolution, many countries are providing systematic and continuous SW education to foster talent with AI capabilities. On the other hand, there are high concerns that the SW gap will widen and polarize as domestic reality does not provide systematic and continuous SW education to learners. Against this background, this study started to investigate the influence of learners' SW experience on SW education. As a result of the study targeting science and engineering students, the effect of SW experience on SW education was significant. With theses results, it is expected that various discussions will be actively conducted so that systematic and continuous SW education can be provided in elementary and secondary schools.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.453-462
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• 2020

With the development of artificial intelligence, a lot of platforms have emerged that enable anyone to easily access and learn about artificial intelligence or create artificial intelligence models. Therefore, in this study, we analyzed various artificial intelligence education platforms and developed and proposed a SW education class plan using a framework-based artificial intelligence education platform for activating artificial intelligence based SW education. The artificial intelligence-based SW education framework aims to cultivate artificial intelligence literacy on the basis of computational thinking. In addition, a learner-centered project class was formed to include elements that could be fused with real life contexts or other subjects. Using this, with the theme of creating an artificial intelligence program to help separate garbage collection, a six-hour project-based class was developed and proposed using practical arts, social studies, and creative experiential activities. This project class was organized using a platform that is not difficult, such as AI Oceans and Entry.

• Journal of Creative Information Culture
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• v.7 no.1
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• pp.1-9
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• 2021

Subjects for the study are educationally alienated class living in poor educational environment. Those students often live outside the reach of software education which is one of key capabilities of Fourth Industrial Revolution. The gap between student in rural and urban areas is becoming more distinct and schoolchildren in rural areas are further limited to access software development education under COVID-19 where face-to-face classes are more rarely conducted. To overcome the issue, AI based thinking skills coding educational program was developed and tested on children in 6 primary schools in south and north of Gyunggi-do, South Korea. Questionnaire were conducted before and after classes to research on students'awareness on AI thinking skills coding. At the end of the study, subjects showed statistically significant increase in confidence, interest, and attitude, and showed positive overall feedback on software development tendency after the program is conducted.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.623-625
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• 2019

인공지능과 소프트웨어가 중요한 역할을 하는 시대가 되었고, 이를 학생들에게 교육하여 미래의 AI/SW 인재를 양성하는 것에 많은 관심이 집중되고 있다. 해외 주요국에서는 이러한 시대적 흐름에 맞추어 AI/SW 분야의 인재 양성을 위해 노력하고 있으며, 국내에서도 여러 부처에서 관련된 다양한 정책을 시행하고 있다. 본 논문에서는 SW교육 관련 소셜미디어와 언론 데이터를 수집하고 이를 분석하여 국내 AI/SW교육에 대한 시사점을 제시하려고 한다. 이를 위해 2014년부터 2018년까지 총 5개년도의 데이터를 수집하고, 네트워크 분석 방법을 활용하여 연도별 SW교육의 흐름, 주요 등장 키워드, 연관 검색어들을 파악하였다. 이를 활용하여 미래의 AI/SW 교육 정책 수립 및 개선을 위한 시사점을 모색해보고자 한다.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.423-436
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• 2021

In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

• 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.387-388
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• 2023

본 논문에서는 인공지능(AI) 체험부터 초중등, 대학 및 평생교육에서 필요한 광범위한 응용과 활용을 할 수 있는 라이브러리를 디지털북 형태로 지원하며, 블록과 텍스트 코딩의 장점을 취합해 입문자들이 쉽고 재미있게 SW·AI 융합 교육을 할 수 있는 플랫폼을 구현하였다. 플랫폼은 웹어셈블리 기반의 파이오다이드를 통해 웹 브라우저에서 파이썬 코딩을 가능하게 하고 복잡한 설치과정 없이 쉽게 이용이 가능하다. 다양한 LMS와 연동이 가능하도록 API를 제공하며, Drag & Fill 블록으로 입문자가 코딩에 겪는 어려움 중 하나인 많은 양의 함수와 파라미터 사용법의 어려움을 해소하였다. 플랫폼은 블록으로 코딩하여 문법의 어려움, 오탈자, 오류 등을 줄이는 동시에 블록에서 생성되는 파이썬 텍스트 코드로 입문자가 텍스트 코드에 익숙해질 수 있는 경험을 제공한다.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.269-277
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• 2024

This study aims to explore the key factors for the systematic development and activation of a MyData-based platform for SW·AI education and training programs recently initiated by the government. To achieve this, a research model based on the Value-based Adoption Model (VAM) was established, and a survey was conducted with 178 participants who had experience in SW·AI education and training programs. The research model was validated using confirmatory factor analysis and Partial Least Squares Structural Equation Modeling (PLS-SEM). The main findings of the study are as follows: First, transparency and self-determination significantly influenced perceived benefits, while technical effort and security significantly influenced perceived risks. Second, perceived benefits positively affected the intention to use the platform, whereas perceived risks did not show a significant impact. Based on these results, this study suggests implications for the systematic development and activation of a MyData-based platform in the field of SW·AI education and training.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.713-721
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• 2021

As the Ministry of Education has introduced AI education in earnest in the 2022 revised curriculum, there is growing sympathy for the need for data-related education along with AI education. In order to develop the competence to understand and utilize artificial intelligence properly, the understanding and utilization competence of data must be based on it. In this study, a data-driven problem solving SW education program using microbit was developed by synthesizing the results of demand analysis and previous research analysis. The data-driven problem solving education program was developed with educational elements that can be applied to elementary school students among the contents of data science. Through the program developed in this study, education that combines various topics and subjects can be linked based on real-life data. Furthermore, based on an understanding of data, it will lay the foundation for a more substantial AI education program.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.25-30
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• 2021

With the introduction of AI education in the 2022 Revised Curriculum emphasizing the need for data related education, it is necessary to improve students' data based problem solving skills. This study seeks to study SW education methods to improve students' data based problem solving skills in accordance with these needs. Based on the ADDIE model, the demand analysis survey was conducted on teachers to analyze their needs. Based on the results of the demand analysis, we designed education programs under the theme of data based problem solving skills using microbit. In this study, we raise the importance of data based problem solving and the need for its capabilities. Subsequent studies need to reveal how data based problem solving SW education will demonstrate significant effects on problem solving skills.