• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.269-274
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• 2021

With the development of artificial intelligence, society is moving to a different world. As a result, amid growing interest in artificial intelligence education, research on how to teach artificial intelligence is also being conducted more actively in Korea. However, a lot of research is being conducted around the upper grades of elementary school, and curriculum and programs for the lower grades are insufficient. Therefore, this study developed an artificial intelligence program for lower grades. Among them, it was developed focusing on artificial intelligence image recognition. It compares image recognition methods of people, animals, and computers, identifies the characteristics of fallen leaves, and helps them understand the image recognition process of artificial intelligence by classifying them according to the characteristics of fallen leaves. I hope this program will help elementary school students understand the image recognition principle of artificial intelligence in the future.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.639-653
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• 2019

The purpose of this study is to design an instructional framework and cognitive learning environment for AI education based on computational thinking in order to ground the theoretical rationale for AI education. Based on the literature review, the learning model is proposed to select the algorithms and problem-solving models through the abstraction process at the stage of data collection and discovery. Meanwhile, the instructional model of AI education through computational thinking is suggested to enhance the problem-solving ability using the AI by performing the processes of problem-solving and prediction based on the stages of automating and evaluating the selected algorithms. By analyzing the research related to the cognitive learning environment for AI education, the instructional framework was composed mainly of abstraction which is the core thinking process of computational thinking through the transition from the stage of the agency to modeling. The instructional framework of AI education and the process of constructing the cognitive learning environment presented in this study are characterized in that they are based on computational thinking, and those are expected to be the basis of further research for the instructional design of AI education.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.45-53
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• 2022

The need for artificial intelligence education has emerged, and countries around the world are announcing artificial intelligence strategies. Artificial intelligence education is reflected in the main points of the 2022 revised curriculum general published in Korea. Along with this interest, programs related to artificial intelligence education are being developed, but it is difficult to find artificial intelligence programs for lower grades of elementary school. This study aims to develop a data collection education program for the lower grades of elementary school through a series of analysis-design-development-application-evaluation processes and apply it to first-grade elementary school students to verify its effectiveness. Through the developed program, it is expected that students will be able to understand and feel interested in artificial intelligence, and develop an attitude of collecting data in their daily lives through the process of searching for various types of data in their daily lives.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.229-231
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• 2023

테크놀로지의 발달에 따라 수업에서 테크놀로지의 도입이 증가하고 있다. 테크놀로지는 학교 현장에 도입되어서, 교수-학습 형태의 변화와 교육 환경의 혁신을 이끌고 있다. 이에 따라 수업에서 테크놀로지 중요성은 더욱 증가하였으며, 예비 교사의 교육 모델에서 테크놀로지 지식을 함양하기 위한 노력이 이어졌다. 이에 따라 Mishra and Koehler(2006)의 TPACK 모델을 활용한 교육이 활발하게 이루어지고 있다. 본 연구에서는 TPACK 모델을 활용하여 예비 교사의 인공지능 융합 수업 전문성을 함양하기 위한 교육 모델을 개발하였다. 개발한 교육 모델은 브레인스토밍, 협력, 탐색(TPACK, AI, 교육과정, 교육적 맥락, 수업 사례), 수업 설계, 마이크로티칭, 수업 비평, 수업 성찰을 포함하였다. 본 연구에서 개발한 인공지능 융합 TPACK 교육 모델을 바탕으로 예비 교사의 인공지능 융합 수업 전문성 변화를 분석하는 후속 연구가 필요하다.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.197-209
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• 2024

This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.795-799
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• 2022

In recent years, with the rapid development of artificial intelligence technology and an explosion of interest in it, education on artificial intelligence is spreading to various fields. As a result, many universities are establishing artificial intelligence-related departments or expanding their quota. In line with this trend, University C has newly established the AI operation department in line with the industrial base in the region. In this paper, a curriculum was developed for the newly established AI operation department, and this curriculum was designed and developed focusing on subjects reflecting the demands of industries based on AIOps (Artificial intelligence for IT Operations). To this end, a consultative body was formed with industry experts, and opinions were collected through a survey.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.217-218
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• 2023

인공지능은 디지털 대전환 시대의 핵심적인 기술로 사회 전반에 변화를 주도하였다. 우리나라는 인공지능을 이해하고 이를 활용하는 역량을 길러주기 위해 전 국민을 대상으로 교육을 진행하고 있다. 그러나 초등학생 대상 인공지능 교육 프로그램은 체험 및 놀이 실습으로 한정되어 교육적 효과에 한계가 있다. 그러므로 본 연구에서는 생산적 실패를 활용하여 인공지능에 대한 개념적 이해 및 실생활 전이를 촉진하는 교육 프로그램을 개발하였다. 연구 대상은 초등학교 5~6학년이며 2022 개정 교육과정에서 강조하는 자기 주도적 학습 역량과 실생활 연계 교육을 반영하여 설계한 6차시 분량의 프로그램이다. 본 연구에서 개발한 교육 프로그램은 향후 타당성 및 신뢰도 검증을 거쳐 현장에 적용하는 후속 연구로 이어질 것이다.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.401-409
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• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.717-718
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• 2022

본 연구에서는 예비교사의 인공지능 융합교육 역량 강화를 위한 캡스톤 디자인 기법 활용 인공지능 융합교육 프로그램을 개발하고 효과를 검증하였다. 개발된 교육 프로그램은 예비교사들이 스크래치 프로그래밍과 머신러닝포키즈, 캡스톤 디자인의 이해를 바탕으로, 인공지능 활용 융합 수업을 위한 주제 선정, 수업 설계 및 개발 후, 마이크로티칭을 하고 동료 평가 및 피드백을 하도록 조직되었다. 이는 2022년 1학기 K대학의 교양 강좌를 수강하는 예비교사들에게 처치되었다. 그 결과, 실험 대상자들의 인공지능 교수효능감의 사전-사후 t-검정에서 통계적으로 유의한 효과가 있음을 확인되었다.