• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.137-140
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• 2023

자연어처리는 인공지능 발전과 함께 주목받는 분야로 컴퓨터가 인간의 언어를 이해하게 하는 기술이다. 그러나 많은 인공지능 모델은 블랙박스처럼 동작하여 그 원리를 해석하거나 이해하기 힘들다는 문제점이 있다. 이 문제를 해결하기 위해 설명 가능한 인공지능의 중요성이 강조되고 있으며, 활발히 연구되고 있다. 연구 초기에는 모델의 예측에 큰 영향을 끼치는 단어나 절을 근거로 추출했지만 문제 해결을 위한 단서 수준에 그쳤으며, 이후 문장 단위의 근거로 확장된 연구가 수행되었다. 하지만 문서 내에 서로 떨어져 있는 근거 문장 사이에 누락된 문맥 정보로 인하여 이해에 어려움을 줄 수 있다. 따라서 본 논문에서는 사람에게 보다 이해하기 쉬운 근거를 제공하기 위한 생성형 기반의 근거 추론 연구를 수행하고자 한다. 높은 수준의 자연어 이해 능력이 필요한 문서 요약 데이터셋을 활용하여 근거를 생성하고자 하며, 실험을 통해 일부 기계독해 데이터 샘플에서 예측에 대한 적절한 근거를 제공하는 것을 확인했다.

• Korean Journal of Cognitive Science
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• v.15 no.4
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• pp.61-66
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• 2004

I think constructivism can be considered as the new count proposal for understanding human to Cartesian rationalism. Constructivism has the common area not only with recent results of evolutionary biology, evolutionary psychology. brain science, system theory, and complex adaptive system but also with recent trends of humanities, and social science. In artificial intelligence, the studies which can be considered as constructivistic methods is going on. In this paper, from a constructivistic pint of view, to broaden the concept of intelligence in artificial intelligenve, I will examine constructivistic methodologies to intelligent machine and look about the artificial intelligence techniques which are constructivistic. Throughout such a discussion I want to promote the integral understanding of various kinds of mind theories and techniques, and pave the way of general intelligence in artificial intelligence.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.227-228
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• 2023

정부의 인공지능 국가전략을 통해 인공지능 교육은 초등학교에서도 필수교육으로 대두되고 있다. 또한 인공지능 소양을 습득하기 위해 타 교과와 융합한 인공지능 융합 교육의 필요성이 증가하고 있고, 인공지능 발달에 대한 수학의 역할을 고려하여 수학 교과를 통해 인공지능의 이해를 기르는 것이 강조되고 있다. 따라서 본 연구에서는 수학 교과와 인공지능 교과가 융합한 인공지능 융합 교육 프로그램을 개발하기 위해 초등학교 3~4학년 수학 교과의 도형 분류를 의사 결정 나무 모델을 활용하여 가르치는 인공지능 융합 교육 프로그램을 개발하였다. 본 연구를 통해 개발된 프로그램은 초등학생의 인공지능 개념학습을 통한 인공지능 기초소양 함양뿐만 아니라 수학 교과의 이해 및 성취도 향상에 도움이 될 것으로 기대된다.

• Korean Journal of Cognitive Science
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• v.8 no.1
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• pp.37-56
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• 1997

Can the appropriately programmed computer think?I analyse,in this paper, argugments for and against strong AI-thesis,basically Turing's argument and Searle's chinese room argument.Through a cirtical review of these arguments, I try to show that the supportes of Al-thesis like Turing fail to explain the subjective nature of human consciousness.However,I do not think that subjective consciousness is a necessary condition for the ability to understand language.(In this respect my views are different from Searle's). But when we consider the conditions of humans as language users,we should presuppose that a human being is the unity of body and mind (or consciousness). Therefore, our subjective consciousness,together with human body(thus,way of our behavior and life). serve as a mark of person.

• Education of Primary School Mathematics
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• v.27 no.1
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• pp.19-38
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• 2024

This study aims to analyze the characteristics of students' understanding of artificial intelligence and mathematical concepts by developing and applying an artificial intelligence education program for mathematics convergence using robots. To this end, we analyzed the content standards of elementary artificial intelligence education to extract conceptual elements of artificial intelligence and identified mathematics achievement standards that can effectively integrate them. In particular, a five-session (15 classes in total) program was developed by selecting the units 'angle' and 'quadrilateral' suitable for utilizing the robot's movement and reorganizing the lesson to integrate the mathematics achievement standard with the artificial intelligence content elements. As a result of applying this to 22 fourth grade elementary school students over five months and analyzing the students' understanding revealed by topic of artificial intelligence content, the artificial intelligence education program for mathematics convergence using robots was helpful in students' understanding artificial intelligence principles and mathematical concepts. In addition, the use of robots was confirmed to improve students' understanding of artificial intelligence and mathematics as well as their participation in class by making them visually check a series of performing procedures.

• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.611-619
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• 2021

Artificial intelligence is at the heart of the Fourth Industrial Revolution. Education must change in order to develop the capabilities necessary for future AI-based societies. This study developed and applied artificial intelligence experience classes using Teachable machine to elementary school students, and analyzed changes in artificial intelligence understanding and interest among students. Among the 10 artificial intelligence classes, 4 classes used various artificial intelligence education platforms, and 6 classes focused on Teachable machines. Before and after the application of the program, students' interest and understanding in artificial intelligence were examined. Quantitative and qualitative studies were conducted together. Studies have shown that both students' interest and understanding of artificial intelligence has improved since the application of the program. Furthermore, based on the findings, we propose a follow-up study for the development of artificial intelligence training programs.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.187-195
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• 2023

This study propose to develop artificial intelligence liberal arts courses for college students in the humanities and social sciences majors using the entry artificial intelligence model. A group of experts in computer, artificial intelligence, and pedagogy was formed, and the final artificial intelligence liberal arts course was developed using previous research analysis and Delphi techniques. As a result of the study, the educational topics were largely composed of four categories: image classification, image recognition, text classification, and sound classification. The training consisted of 1) Understanding the principles of artificial intelligence, 2) Practice using the entry artificial intelligence model, 3) Identifying the Ethical Impact, and 4) Based on learned, team idea meeting to solve real-life problems. Through this course, understanding the principles of the core technology of artificial intelligence can be directly implemented through the entry artificial intelligence model, and furthermore, based on the experience of solving various real-life problems with artificial intelligence, and it can be expected to contribute positively to understanding technology, exploring the ethics needed in the artificial intelligence era.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.23-29
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• 2023

For given the importance of elementary school students developing the ability to solve problems using artificial intelligence (AI), problem-solving abilities should be developed using AI along with education to develop problem-solving abilities. Such students need a form that allows them to understand the concepts and principles of AI and to be easily educated in a fun way to understand basic understanding of how AI works. To this end, this study planned an 8-hour AI convergence program and operated based on self-driving cars, demonstrating that it was effective in improving elementary school students' problem-solving abilities, creativity, and AI understanding. As a result of operating the camp, students' understanding of AI was 3.56 (standard deviation 0.85), 4.00 (standard deviation 0.71), and t-value was -5.412 (p<0.001), indicating statistically improved understanding of AI, and high satisfaction and interest of students. In the future, it will be necessary to develop an educational program that allows elementary school students to devise their own ideas and create products to which AI models can be applied.

• 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.

• Journal of The Korean Association of Information Education
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• v.21 no.1
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• pp.139-149
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• 2017

Artificial intelligence education is very important in the 21st century knowledge information society. Even if it is very important to understand artificial intelligence and practice computer programming in computer education in the fourth industrial revolution, but there is no teaching and learning model to understand artificial intelligence and computer programming education. In this paper, the proposed model consists of problem understanding step, data organizing step, artificial intelligence model setting step, programming step, and report writing step. At the program step, students can choose to copy, transform, create, and challenge steps to their level. In this study, the validity of the model was proved by the Delphi evaluation of elementary school teachers. The results of this study provide a good opportunity for elementary school students to practice artificial intelligence programs.