• Title/Summary/Keyword: 인공지능 활용 교육

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A Study on the Educational Meaning of eXplainable Artificial Intelligence for Elementary Artificial Intelligence Education (초등 인공지능 교육을 위한 설명 가능한 인공지능의 교육적 의미 연구)

  • Park, Dabin;Shin, Seungki
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.803-812
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    • 2021
  • This study explored the concept of artificial intelligence and the problem-solving process that can be explained through literature research. Through this study, the educational meaning and application plan of artificial intelligence that can be explained were presented. XAI education is a human-centered artificial intelligence education that deals with human-related artificial intelligence problems, and students can cultivate problem-solving skills. In addition, through algorithmic education, it is possible to understand the principles of artificial intelligence, explain artificial intelligence models related to real-life problem situations, and expand to the field of application of artificial intelligence. In order for such XAI education to be applied in elementary schools, examples related to real world must be used, and it is recommended to utilize those that the algorithm itself has interpretability. In addition, various teaching and learning methods and tools should be used for understanding to move toward explanation. Ahead of the introduction of artificial intelligence in the revised curriculum in 2022, we hope that this study will be meaningfully used as the basis for actual classes.

Development of Artificial Intelligence Instructional Program using Python and Robots (파이썬과 로봇을 활용한 인공지능(AI) 교육 프로그램 개발)

  • Yoo, Inhwan;Jeon, Jaecheon
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.369-376
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    • 2021
  • With the development of artificial intelligence (AI) technology, discussions on the use of artificial intelligence are actively taking place in many fields, and various policies for nurturing artificial intelligence talents are being promoted in the field of education. In this study, we propose a robot programming framework using artificial intelligence technology, and based on this, we use Python, which is used frequently in the machine learning field, and an educational robot that is highly utilized in the field of education to provide artificial intelligence. (AI) education program was proposed. The level of autonomous driving (levels 0-5) suggested by the International Society of Automotive Engineers (SAE) is simplified to four levels, and based on this, the camera attached to the robot recognizes and detects lines (objects). The goal was to make a line detector that can move by itself. The developed program is not a standardized form of solving a given problem by simply using a specific programming language, but has the experience of defining complex and unstructured problems in life autonomously and solving them based on artificial intelligence (AI) technology. It is meaningful.

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Development and application of artificial intelligence education program for mathematics convergence using robots (로봇을 활용한 수학 융합 인공지능 프로그램 개발 및 적용: 4학년 '각도'와 '사각형' 단원을 중심으로)

  • Choi, Sun Young;Chang, Hyewon
    • 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.

Utilization Strategies of Generative AI Platforms for CG Education (CG 교육을 위한 생성형 인공지능 플랫폼 활용 방안)

  • Donghee Suh
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.357-364
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    • 2023
  • Due to the rapid advancement of AI technology, generative artificial intelligence platforms are experiencing innovative applications in various fields. In this paper, it examines research cases involving the utilization of AI in education, explore instances where generative AI platforms are applied in the realm of creative endeavors, and discuss the direction of utilizing generative AI in educational contexts. In the field of computer graphics, this study introduced generative AI platforms that are applicable for image creation, editing, and video editing. It also proposed platforms that can be utilized in the video editing production process. These generative AI platforms not only offer advantages in terms of efficiency, by reducing the efforts of creators and saving time in the production process, but they also present positive aspects in enhancing individual capabilities. It is advocated that their swift integration into education is necessary, considering these benefits. This study aims to provide direction for the expansion of creative education utilizing generative AI platforms.

Applications and Possibilities of Artificial Intelligence in Mathematics Education (수학교육에서 인공지능 활용 가능성)

  • Park, Mangoo
    • Communications of Mathematical Education
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    • v.34 no.4
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    • pp.545-561
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    • 2020
  • The purpose of this study is to investigate the applications and possibilities of major programs that provide services using artificial intelligence in mathematics education. For this study, related papers, reports, and materials were collected and analyzed, focusing on materials mostly published within the last five years. The researcher searched the keywords of "artificial intelligence", "artificial intelligence", "AI" and "mathematics education" independently or in combination. As a result of the study, artificial intelligence for mathematics education was mostly supporting learners' personalized mathematics learning, defining it as an auxiliary role to support human mathematics teachers, and upgrading the technology of not only cognitive aspects but also affective aspects. As suggestions, the researcher argued that followings are necessary: Research for the establishment of an elaborate artificial intelligence mathematical system, discovery of artificial intelligence technology for appropriate use to support mathematics education, development of high quality of mathematics contents for artificial intelligence, and the establishment and operation of a cloud-based comprehensive system for mathematics education. The researcher proposed that continuous research to effectively help students study mathematics using artificial intelligence including students' emotional or empathetic abilities, and collaborative learning, which is only possible in offline environments. Also, the researcher suggested that more sophisticated materials should be developed for designing mathematics teaching and learning by using artificial intelligence.

Development of Elementary School AI Education Contents using Entry Text Model Learning (엔트리 텍스트 모델 학습을 활용한 초등 인공지능 교육 내용 개발)

  • Kim, Byungjo;Kim, Hyenbae
    • Journal of The Korean Association of Information Education
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    • v.26 no.1
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    • pp.65-73
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    • 2022
  • In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.

A study on the relationship between artificial intelligence and change in mathematics education (수학교육의 변화와 인공지능과의 연관성 탐색)

  • Ee, Ji Hye;Huh, Nan
    • Communications of Mathematical Education
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    • v.32 no.1
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    • pp.23-36
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    • 2018
  • Recently, we are working to utilize it in various fields with the expectation of the potential of artificial intelligence. There is also interest in applying to the field of education. In the field of education, machine learning and deep learning, which are used in artificial intelligence technology, are deeply interested in how to learn on their own. We are interested in how artificial intelligence and artificial intelligence technologies can be used in education and we have an interest in how artificial intelligence can be applied to mathematics education. The purpose of this study is to investigate the direction of mathematics education as the change of education paradigm and the development of artificial intelligence according to the development of information and communication technology. Furthermore, we examined how artificial intelligence can be applied to mathematics education.

Educational Model for Artificial Intelligence Convergence Education (예비 교사의 인공지능 융합 수업 전문성 함양을 위한 교육 모델 제안)

  • Seong-Won Kim
    • 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.

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Development of Artificial Intelligence Educational program for Elementary students Based on Productive Failure (생산적 실패 기반 초등학교 인공지능 교육 프로그램 개발)

  • Dagyeom Lee;Youngjun Lee
    • 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.

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Exploring the experience of AI education platform using ARCS model for elementary school pre-service teachers (초등 예비교사를 위한 ARCS 모델 활용 인공지능 교육 플랫폼 경험 탐구)

  • Sung, Younghoon
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.199-204
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    • 2021
  • Along with the development of technology in the fourth industrial revolution, the fields that can apply artificial intelligence technology are rapidly increasing. In order to improve computational thinking, overseas countries such as the U.S. and the U.K. are already using various AI education platforms to provide artificial intelligence education. Therefore, there is an increasing need for elementary school pre-service teachers in Korea to strengthen their AI education capabilities along with the existing software education. However, it may be difficult for learners with low levels of programming experience and AI education experience to choose an AI education platform that can sustain their learning motivation. Therefore, in this study, the factors related to learning motivation in the AI education platform were explored using the ARCS model. Through this, we present the factors required by the AI education platform for motivation and sustain of learning.

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