• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.227-230
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• 2022

본 연구에서는 실질적 학습자가 교수자로 착각을 한 상태에서 아바타를 학습시키는 과정을 통해 학습이 되게 하는 구조를 설계하고 제안하였다. 시스템 관리자와 교육자료 형성자를 제외하면, 교수자로 착각하고 있는 '학습자'와 학습자의 공부를 위해 노력하는 학습 가이드 역할을 '학습 관찰자', 학습이 되는 아바타로 구성된다. '학습 관찰자'는 학습 방향을 제시하여 아바타가 활동하는 방향을 지시하게 되며, 아바타는 지시된 방향에서 1:1 학습과 같은 형태로 교수자 입장 학습자에게 공부도움을 요청하게 된다. 아바타의 학습은 인공지능 지도 학습 방법을 이용하여 학습되도록 하며, 교수자로 착각하는 학습자는 아바타 학습 시 아바타에 의해 슬며시 제공되는 학습 자료를 참고하며 아바타를 공부시키게 되는 데 아바타를 공부시킨다고 노력하는 과정이 교수자로 착각된 학습자가 공부가 되는 것이다. 또한 이렇게 학습하는 과정을 거쳐 지식이 성장한 아바타는 아바타들이 경쟁하는 경진 대회에 참가하게 되며 교육자로 착각하는 학습자는 관전 또는 코치를 하며 학습을 하게 된다. 이러한 방법을 통해 교육자로 착각하는 학습자는 부모의 마음으로 적극적으로 공부를 하게 유도하며, 흥미를 갖고 공부를 하게 할 뿐 아니라, 가르치는 사람에 준하는 깊이 있는 지식을 갖도록 유도하며, 본 시스템과 온라인 오프라인을 통해 연결 되게 한 운동 기구 및 운동 환경을 이용하여 운동 하도록 유도하고 파워가 되도록 하여 운동 활동을 유도하며, 단계 마다 적당한 보상 점수들이 제공되도록 하여 지덕체가 성장되도록 하는 설계이다.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.433-441
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• 2020

The advent of the intelligent information society and artificial intelligence education for fostering future talents is attracting the attention of the education community, and the AI graduate course for teachers is also being opened and operated. The curriculum of the AI education graduate school, which was established this year, is self-contained considering the conditions of each university. Are organized. Accordingly, this study seeks to explore the direction of curriculum development so that AI curriculum that can be more effective and enhance educational value in the graduate school of education can be developed in the future. Based on the Backward design, the AI curriculum proposed in this study includes Bloom's digital taxonomy, Bruner's spiral curriculum composition principle, and three elements such as 'content domain', 'level', and 'teacher learning method'. It was intended to consist of. Based on the direction of AI curriculum development suggested in the study, we hope that the AI curriculum of domestic graduate schools of education will be more substantial, and this framework will be revised and supplemented in the future to be used in the composition of the AI curriculum in elementary and secondary schools.

• Journal of Korean Philosophical Society
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• v.146
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• pp.271-307
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• 2018

The purpose of this study is to elucidate on moral education's direction in the age of transhumanism. For transhumanism's moral education, I suggest a genetically modified plan, moral artificial intelligence method, and pharmacological method for moral bio-enhancement. I also suggest a plan for anti-transhumanism's moral education. Anti-transhumanism as a position in the ethical debate on human enhancement makes two main claims. One is a moral claim that human enhancement may disregard or violate something intrinsically valuable about human nature. The other is a political claim that human enhancement should be banned or severely restricted. In this article, I try to make a critical evaluation of transhumanism and anti-transhumanism. For this aim, I critically analyze the logic of both. Finally I argue that transhumanism's moral education has technological strengths and ethical weaknesses. But transhumanism's moral education can overcome the ethical weakness through human enhancement debate and real possibility. Anti-transhumanism's moral education needs to make significant influence through traditional education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1055-1060
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• 2018

In the wake of the 4th Industrial Revolution, the problem of career education in schools has become a big issue. While various studies are being conducted on services or technologies to effectively handle artificial intelligence and big data, in the field of education, data on students is simply processed. Therefore, in this paper, we are going to design and present career prediction programs for students using artificial intelligence and big data. Using observational data from students at the institute, the decision tree is constructed with the C4.5 algorithm known to be most intelligent and effective in the decision tree and is used to predict students' path of hope. As a result, the coefficient of kappa exceeded 0.7 and showed a fairly low average error of 0.1 degrees. As shown in this study, a number of studies and data will be deployed to help guide students in their consultation and to provide them with classroom attitudes and directions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.486-489
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• 2021

The purpose of this study was to investigate whether block-based programming language, which is currently being used in elementary and secondary schools, attracts students' interest and motivates them to learn. In addition, this study was to investigate how block-based programming language can help students improve their computing thinking ability and have a good effect on learning text-based programming to learn in high school. In addition, this study tried to study the direction of education linked with artificial intelligence and programming, which are popular in the era of the Fourth Industrial Revolution. The interest in software education has increased so much that software and information education from elementary school to high school has achieved quantitative and qualitative growth that can not be compared with before. However, in the field of artificial intelligence, discussions have begun, but we can not say that we have yet established ourselves in our education. We will discuss how block-based programming and text-based programming will be combined with artificial intelligence and educated.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.134-136
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• 2022

자율운항선박 운항인력 육성을 위한 교육훈련(프로그램, 컨텐츠, 교육장비)에 관한 내용을 토대로 교육장비 시스템 개발 방향을 제시, 특히 육상에서 자율운항선박을 원격제어하는 시스템을 대상으로 하여 미래 해기사의 교육훈련 방안과 장비 개발 방향을 제안하고자 한다.

• Journal of the Health Care and Life Science
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• v.11 no.1
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• pp.67-77
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• 2023

This paper aims as a prior study to cultivate artificial intelligence professionals at the level of colleges in the future by analyzing healthcare services and technologies using artificial intelligence technology. As artificial intelligence technology is recognized as a key engine or core technology in the future that will create national competitiveness and added value, advanced countries are investing a lot of attention and support in developing technologies as well as human resources at the national level. Korea is also promoting national-level R&D manpower training projects such as AI graduate program support projects, and investing heavily in fostering and securing its own artificial intelligence personnel, mainly by large companies, but there is a lack of artificial intelligence experts. This study analyzes the current status of healthcare services and technologies, industries, and artificial intelligence manpower training using artificial intelligence technology, and proposes directions for fostering artificial intelligence personnel at the level of colleges.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.715-723
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• 2024

The purpose of this study was to identify research trends related to future education through keyword network analysis. To this end, 308 academic papers and master's and doctoral dissertations published from 2000 to 2023 in Korea, and 146 keywords were selected for analysis, divided into 5 periods, and used and analyzed with the Microsoft Excel 365 program and NetMiner 4 program. The results of the study are as follows. First, the publication of future education research has steadily increased since 2000, but has increased significantly since the second half of the 2010s, and the number has exploded in 2021. Second, the number of new keywords that emerged in future education research has increased in recent times, but the frequency of 'future society' keywords appearing in all periods has been high. Third, in future education research results, the number of keywords that simultaneously appear among keywords has increased as time passes, and the contents of keywords that simultaneously have changed in various ways. This study is meaningful in that it suggested the direction of future education by analyzing the past and present of future education with artificial intelligence more than 20 years later.

• Journal of the Korean School Mathematics Society
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• v.25 no.2
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• pp.149-174
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• 2022

The purpose of this study is to explore the teaching and learning method using artificial intelligence (AI) in the mathematics classroom. To this end, to predict the direction of mathematics education using AI in the mathematics classroom, this study investigates the fields where AI is applied to education, and discuss issues to consider when introducing AI through scenario development using AI in middle school statistics. This study is meaningful in that it specifically considered how artificial intelligence can be grafted into the mathematics classroom through the development of scenarios that integrate and apply artificial intelligence that has been developed and used segmentally in the current middle school statistics. Afterwards, based on the contents of this study, implications for using AI in the math classroom were derived.