• Information and Communications Magazine
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• v.33 no.8
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• pp.19-27
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• 2016

최근 들어 로봇 기술은 팔과 다리가 달린 인간형 로봇 휴머노이드(Humanoid)와 같이 겉모습뿐만 아니라 히노애락(喜怒哀樂)과 같은 인간의 감정을 흉내 내는 지능형 감성로봇(Emotional robot)으로 진화하고 있으며, 사물인터넷(Internet of things, IoT), 빅데이터(Big data) 및 인공지능(Artificial intelligence, AI) 기술까지 융합하는 연구가 진행되고 있다. 이러한 기술 발전을 기반으로 로봇산업은 전통적인 제조업뿐만 아니라 의료, 실버, 국방, 건설, 생활가전, 물류, 드론 등 다양한 분야에서 활용이 가능하며, 또한 교육, 문화, 예술에도 접목을 할 수 있어 넓은 분야에서 발전 가능성이 매우 큰 산업이다. 본 논문에서는 인간과 교감하는 감성로봇의 개념과 주요 기술을 소개한다. 아울러, 최근까지 연구 개발되었거나 제품으로 출시되었던 감성로봇 사례를 소개하고 향후 전망에 대해서 논의한다.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.55.1-55.1
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• 2021

천문 분야는 다른 과학 분야와 달리 탐구대상인 천체들이 먼 거리에 있고, 실험실에서 동일 실험과 반복 실험이 불가능하며, 추상적이고 직접 관측하기 어려운 개념에 대한 연구들이 많다. 따라서 최근 인공지능, 증강현실 및 3D 프린팅 기술 등은 천문교과 교육과정과 연계하여 학생들의 지각 능력을 자극하고 실제 활동과 유사한 경험을 제공할 수 있도록 단계적인 학습경험을 도와 천문 분야 체험활동으로 연결시키고 있다. 이에 본 연구는 학생들이 망원경의 원리와 분해 및 조립에 대한 지식함양을 위해 3D 프린팅 기술과 AR을 활용하여 학생들의 천문관측 망원경에 대한 이해와 천문관련 체험활동에 대한 프로그램을 개발하여 적용하였다. 이 연구에서 개발한 프로그램은 3D 프린팅 기술을 활용하여 망원경의 세부 부품을 학생들이 직접 설계 및 제작하고, 자석을 이용하여 망원경을 조립, 분해 실습을 할 수 있도록 하였다. 또한, AR(증강현실)을 활용하여 빛을 모으는 망원경의 구조를 직접 실험을 통해 확인하고 빛의 반사와 굴절 원리를 학습하는 내용을 개발 프로그램에 포함하였다.

• Communications of Mathematical Education
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• v.36 no.3
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• pp.417-438
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• 2022

The purpose of this study is to suggest implications for mathematics teaching and learning when using AI-based educational platforms that support personalized mathematics learning. To this end, we selected five platforms(Knock-knock! Math Expedition, knowre, Khan Academy, MATHia, CENTURY) and analyzed how the AI-based educational platforms for mathematics reflect the three elements(PLP, PLN, PLE) to support personalized learning. The results of this study showed that although the characteristics of PLP, PLN, and PLE implemented on each platform varied, they were designed to form PLEs that allow learners to make their autonomous decisions about learning based on PLP and PLN. The significance of this study can be found in that it has improved the understanding and practicability of personalized mathematics learning with the AI-based educational platforms.

• Journal of Korean Home Economics Education Association
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• v.31 no.4
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• pp.149-161
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• 2019

At present, we are at the point of change of the 4th industrial revolution era due to the development of artificial intelligence(AI) and rapid technological innovation that no one can predict until now. This study started from the question of 'What role should home economics education play in the era of the Fourth Industrial Revolution?'. The Fourth Industrial Revolution is characterized by AI, cloud computing, Internet of Things(IoT), big data, and Online to Offline(O2O). It will drastically change the social system, science and technology and the structure of the profession. Since the dehumanization of robots and artificial intelligence may occur, the 4th Industrial Revolution Education should be sought to foster future human resources with humanity and citizenship for the future community. In addition, the implication of education in the fourth industrial revolution, which will bring about a change to a super-intelligent and hyper-connected society, is that the role of education should be emphasized so that humans internalize their values as human beings. Character education should be established as a generalized and internalized consciousness with a concept established in the integration of the curriculum, and concrete practical strategies should be prepared. In conclusion, home economics education in the 4th industrial revolution era should play a leading role in the central role of character education, and intrinsic improvement of various human lives. The fourth industrial revolution will change not only what we do, or human mental and physical activities, but also who we are, or human identity. In the information society and digital society, it is important how quickly and accurately it is possible to acquire scattered knowledge. In the information society, it is required to learn how to use knowledge for human beings in rapid change. As such, the fourth industrial revolution seeks to lead the family, organization, and community positively by influencing the systems that shape our lives. Home economics education should take the lead in this role.

• Journal of The Korean Association of Information Education
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• v.26 no.4
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• pp.229-238
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• 2022

At the time of discussing the 2022 revised curriculum, the demand for normalization of information education is increasing. This study was conducted on the case of the information curriculum for the upper elementary grades responding to such needs. For 14 6th grade students of Elementary School B in K Metropolitan City, 4 core areas of the information curriculum, including computing system, data, algorithm & programming, and digital culture, were covered through classes. Cooperative classes were conducted between students by using the cloud-based application according to the class. In addition, it was intended to supplement the curriculum by suggesting ideas for artificial intelligence education area, and to improve the density of research with additional investigation on foreign information education cases. However, the need for independent organization of the information curriculum was strongly confirmed in that the current curriculum for information classes lacked sufficient school hours and had to be operated in combination with other subjects in the form of a project for this case study. It is hoped that this study will serve as a small foundation for the establishment of the information curriculum for the upper elementary grades in the future.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.121-130
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• 2023

In the school field, AI convergence education is recommended, which utilizes AI in education to change the paradigm of society. This study was conducted to define the terms of AI and AI convergence education to minimize the confusion of terms and to analyze the educational needs of teachers from the perspective of conducting AI convergence education. To achieve the purpose, 19 experts' opinions were collected, and a self-administered questionnaire was administered to 125 secondary school teachers enrolled in the AI convergence major at the Graduate School of Education. As a result of the analysis, the experts defined AI convergence education as a methodology for problem solving, not AI-based or utilization education. In the analysis of teachers' educational needs, "AI and big data" was ranked first, followed by "AI convergence education methodology" and "learning practice using AI". The significance of this study is that it defined the terminology by collecting the opinions of experts amidst the confusion of various terms related to AI, and presented the educational direction of AI convergence education for in-service teachers.

• Education of Primary School Mathematics
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• v.26 no.3
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• pp.163-180
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• 2023

This study aimed to investigate the factors influencing the intentions of elementary school teachers to use artificial intelligence (AI) in mathematics lessons and to identify the essential prerequisites for the effective implementation of AI in mathematics education. To achieve this purpose, we examined the structural relationship between elementary school teachers' TPACK(Technological Pedagogical Content Knowledge) and the TAM(Technology Acceptance Model) using structural equation model. The findings of the study indicated that elementary school teachers' TPACK regarding the use of AI in mathematics instruction had a direct and significant impact on their perceived ease of use and perceived usefulness of AI. In other words, when teachers possessed a higher level of TPACK competency in utilizing AI in mathematics classes, they found it easier to incorporate AI technology and recognized it as a valuable tool to enhance students' mathematics learning experience. In addition, perceived ease of use and perceived usefulness directly influenced the attitudes of elementary school teachers towards the integration of AI in mathematics education. When teachers perceived AI as easy to use in their mathematics lessons, they were more likely to recognize its usefulness and develop a positive attitude towards its application in the classroom. Perceived ease of use, perceived usefulness, and attitude towards AI integration in mathematics classes had a direct impact on the intentions of elementary school teachers to use AI in their mathematics instruction. As teachers perceived AI as easy to use, valuable, and developed a positive attitude towards its incorporation, their intention to utilize AI in mathematics education increased. In conclusion, this study shed light on the factors influencing elementary school teachers' intentions to use AI in mathematics classes. It revealed that teachers' TPACK plays a crucial role in facilitating the integration of AI in mathematics education. Additionally, the study emphasized the significance of enhancing teachers' awareness of the advantages and convenience of using AI in mathematics instruction to foster positive attitudes and intentions towards its implementation. By understanding these factors, educational stakeholders can develop strategies to effectively promote the utilization of AI in mathematics education, ultimately enhancing students' learning outcomes.

• Education of Primary School Mathematics
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• v.26 no.2
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• pp.99-113
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• 2023

In this study, I explored the possibility of using ChatGPT math education. For this purpose, students' problem-solving outputs and conversation data between pre-service teachers and a student were selected as an analysis case. A case was analyzed using ChatGPT and compared with the results of mathematics education experts. The results that ChatGPT analyzed students' problem-solving strategies and mathematical thinking skills were similar to those of math education experts. ChatGPT was able to analyze teacher questions with evaluation criteria, and the results were similar to those of math education experts. ChatGPT could also respond with mathematical theory as a source of evaluation criteria. These results demonstrate the potential of ChatGPT to analyze students' thinking and teachers' practice in mathematics education. However, there are limitations in properly applying the evaluation criteria or providing inaccurate information, so the further review of the derived information is required.

• Proceedings of The KACE
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• 2017.08a
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• pp.113-116
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• 2017

현대 사회는 4차 산업혁명을 통해 빠르게 발달하고 있다. 이러한 사회에서는 새로운 지식과 기술이 끊임없이 만들어지고 기존의 지식과 기술이 도태되고 지식과 기술의 생명주기가 점차적으로 빨라지고 있다. 이에 따라 새롭게 제시되는 지식과 기술을 적합한 문제에 적용하여 문제를 해결하는 능력의 중요성이 커지고 있다. 특히 차세대 기술로 평가받는 인공지능, 로봇, 자율 자동차, 사물 인터넷 등의 기술과 연관된 문제를 해결하는 방법은 컴퓨터를 활용한 문제 해결방법과 밀접하게 연관돼있기 때문에 컴퓨터를 활용하여 주어진 문제를 표현하고 해결하는 능력은 매우 중요하다. 본 연구에서는 운영체제에서 기본적으로 제공되는 파일 관리 프로그램에 대한 문제점을 제기하고 문제 해결을 위해 컴퓨팅 사고력을 활용해서 문제에 대한 조사 단계, 분석 단계, 그리고 자동화 단계를 거쳐 문제를 해결한다.

• 한국정보교육학회:학술대회논문집
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• 2008.01a
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• pp.123-128
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• 2008

1960년대 후반에 미국MIT대학의 인공지능 실험실에서 Seymour Papert와 그의 동료들에 의해 개발된 LOGO프로그래밍 언어학습이 초등학생의 창의성 발달에 미치는 영향을 연구하고자 하였다. 그래서 LOGO프로그래밍 언어는 MSWLogo를 초등학교 5학년을 대상으로 주 2회 20차시 학습을 하고 창의성 검사는 TORRANCE TTCT(도형)을 활용하여 실시했으며, 창의성 전체요인과 세부항목에 미치는 영향을 분석하였다. 그 결과를 요약하면 다음과 같다. 첫째, LOGO프로그래밍 언어 학습 활동이 창의성 발달에 효과적인 것으로 보인다. 둘째, LOGO프로그래밍 언어가 세부항목인 유창성, 독창성, 추상성, 정교성, 저항요인 향상에 영향을 미치는 것으로 나타났다. 셋째, 실험집단 내 남학생과 여학생간의 창의성 발달에 기여하는 정도는 동일한 것으로 나타났다. 이상의 연구 결과를 종합해 볼 때 LOGO프로그래밍 언어가 아동의 두뇌 활동을 자극하여 창의성 발달에 유용한 것으로 사료된다.