• Title/Summary/Keyword: 인공지능 교육과정

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Teaching and Learning Design for AI Value Judgment (인공지능 가치판단에 대한 교수학습 설계)

  • Jeong, Minhee;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.233-237
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    • 2021
  • With the advent of the 4th industrial revolution, interest in artificial intelligence education is increasing in elementary schools. In order to nurture future talents with artificial intelligence capabilities, AI education should be actively conducted at school sites. Although basic software education is provided in the 2015 revised curriculum, there is a tendency to view the programming process that creates artificial intelligence only as a problem-solving process. However, when creating an artificial intelligence, the value of the developer who creates artificial intelligence is projected. Therefore, it is necessary to deal with the contents of artificial intelligence value judgment during SW education. This study has limitations due to the fact that Delphi research was conducted with a group of experts. In the future, it is judged that quantitative research should be conducted to supplement these limitations.

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Development of a board game-based gamification learning model for training on the principles of artificial intelligence learning in elementary courses (초등과정 인공지능 학습원리 이해를 위한 보드게임 기반 게이미피케이션 교육 실증)

  • Kim, Jinsu;Park, Namje
    • Journal of The Korean Association of Information Education
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    • v.23 no.3
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    • pp.229-235
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    • 2019
  • By combining the elements of the game or game in education, it improves the interest of the students and improves academic achievement by creating an environment where they can participate directly. We propose a curriculum that can learn the core principles of the elementary curriculum through fusion. The proposed curriculum helps students to understand the principles of the elementary curriculum by learning the artificial intelligence method in board game form. Learning methods that incorporate such elements of the game will enable learners to learn the principles of IT so that they can develop their ability to understand objects from various perspectives and enhance their thinking skills. It is expected that the elementary artificial intelligence curriculum that incorporates the proposed gamification will contribute to the development of the information science curriculum, which has been highlighted recently from the 2015 curriculum.

Design of High School Software AI Education Model in IoT Environment (사물인터넷 환경에서의 고등학교 SW·AI 교육 모델 설계)

  • Keun-Ho Lee;JungSoo Han
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.49-55
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    • 2023
  • The evolution of new digital technologies is progressing rapidly. In particular, many changes in software and artificial intelligence are progressing rapidly in the field of education. The Ministry of Education is planning an educational program by linking software and artificial intelligence regular curriculum. Before applying it to regular subjects, various software and artificial intelligence related experience camps are being promoted. This study aims to construct an educational model for software and artificial intelligence education programs for high school students based on new digital technology. By expanding and distributing software and artificial intelligence education, we aim to enhance the basic capabilities of software and artificial intelligence for high school students. I would like to define the concept of software and artificial intelligence in high school and propose a model that links software and artificial intelligence learning factors to the regular curriculum.

The Analysis of Illustrations in Elementary School Artificial Intelligence Textbooks in Korea (국내 초등 인공지능 교재 내 삽화 분석)

  • Hwang, Ji-Yeon;Kim, Seong-Won;Lee, Youngjun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.217-218
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    • 2022
  • 인공지능(Artificial Intelligence, 이하, AI) 기술의 발달로 각계각층에서 급진적인 변화를 대비하고 있다. 이에 교육부에서도 2022 개정 교육과정 주요사항에 AI 소양을 새로운 기초 소양으로 제시하였다. 이에 초등학생에게 AI 개념 및 원리를 전달하려는 교재가 많이 개발되고 있다. 교재 및 교과서는 교수·학습 과정에서 필수적인 역할을 수행한다. 그리고 교과서의 내용 요소 중 핵심적인 내용을 함축하는 삽화는 글보다 지식 전달에 효율적이다. 보다 일차원적이고 직관적인 삽화를 통하여 초등학생에게 인공지능 지식을 쉽게 전달하기 위하여 기존 교재에 제시된 삽화의 분석이 필수적이라고 판단하였다. 따라서 교육부와 한국과학창의재단에서 출판된 '학교에서 만나는 인공지능 수업(초등학생용)' 2권에 제시된 삽화를 종류 및 역할별로 분류하였다. 삽화의 종류 중 그림과 사진의 비중이 컸고, 자료제공을 하는 과정에서 삽화가 다수 사용되었다. 본 논문을 통하여 인공지능 교재의 삽화에 대한 보충적인 연구가 이루어지길 기대한다.

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Development of Artificial Inetelligence Education Program for the Lower Grades of Elementary School (초등학교 저학년 학습자를 위한 인공지능 교육프로그램 개발)

  • Kang, Ji-eun;Koo, Dukhoi
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.761-768
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    • 2021
  • Recently, various platforms and contents for artificial intelligence education have been developed, but artificial intelligence education programs for the lower grades of elementary school are insufficient. Therefore, the purpose of this study is to develop an artificial intelligence education program for learners in the lower grades of elementary school. It was designed using the Novel Engineering with various convergence education research cases for software education. After the first program was developed, it was verified by expert validity test, and the program was modified and developed accordingly. It was necessary to construct a program based on spoken language rather than written language in consideration of the level of learners in the lower grades in the process of acquiring Hangeul, and to secure the number of educational hours through integration between subjects. It is expected that this study can suggest a new direction for artificial intelligence education for elementary and lower grade learners.

Analysis of Artificial Intelligence Mathematics Textbooks: Vectors and Matrices (<인공지능 수학> 교과서의 행렬과 벡터 내용 분석)

  • Lee, Youngmi;Han, Chaereen;Lim, Woong
    • Communications of Mathematical Education
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    • v.37 no.3
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    • pp.443-465
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    • 2023
  • This study examines the content of vectors and matrices in Artificial Intelligence Mathematics textbooks (AIMTs) from the 2015 revised mathematics curriculum. We analyzed the implementation of foundational mathematical concepts, specifically definitions and related sub-concepts of vectors and matrices, in these textbooks, given their importance for understanding AI. The findings reveal significant variations in the presentation of vector-related concepts, definitions, sub-concepts, and levels of contextual information and descriptions such as vector size, distance between vectors, and mathematical interpretation. While there are few discrepancies in the presentation of fundamental matrix concepts, differences emerge in the subtypes of matrices used and the matrix operations applied in image data processing across textbooks. There is also variation in how textbooks emphasize the interconnectedness of mathematics for explaining vector-related concepts versus the textbooks place more emphasis on AI-related knowledge than on mathematical concepts and principles. The implications for future curriculum development and textbook design are discussed, providing insights into improving AI mathematics education.

Analysis of Artificial Intelligence Curriculum of SW Universities (SW중심대학의 인공지능 교육과정 현황분석)

  • Woo, HoSung;Lee, HyunJeong;Kim, JaMee;Lee, WonGyu
    • The Journal of Korean Association of Computer Education
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    • v.23 no.2
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    • pp.13-20
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    • 2020
  • The interest in artificial intelligence is due to an increase in influence on companies, organizations, daily lives and society. The purpose of this study is to analyze the key elements in the teaching subjects of artificial intelligence-related subjects of Korean universities based on the intelligent system area of Computer Science 2013 in terms of human resources development. According to the analysis, there are five out of nine universities that run the required courses. Based on the 12 detailed knowledge domains of intelligent systems, the compulsory subjects of universities are distributed in the field of basic search theory, basic knowledge expression and reasoning, and inference based on uncertainty. The elective courses of each university covered topics in five to eight areas of the total knowledge area of the intelligent system, with 69.9 percent of universities with the highest average ratio of areas involving the subject of teaching subjects and 46.3 percent of universities with the lowest. This study has implications for the fact that prior to entering an artificial intelligence graduate school, we were able to grasp the level of knowledge about artificial intelligence at the undergraduate level.

A Study on Artificial Intelligence Literacy of Middle School Students (중학생의 인공지능 리터러시 조사)

  • Kim, Seong-Won;Lee, Eunkyoung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.401-402
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    • 2022
  • 본 연구에서는 중학생의 인공지능 리터러시와 인공지능 리터러시에 영향을 주는 요인(성별, 인공지능 관련 경험, 인공지능에 대한 관심)을 조사·분석하였다. 연구 결과, 중학생의 인공지능 리터러시는 여성보다 남성이 높았다. 모든 세부 요인에서 유의한 차이는 아니었지만, 인공지능 문제 해결과 관련된 세부 요인은 남성이 더 높은 것으로 나타났다. 인공지능 관련 경험은 인공지능 간접 경험, 직접 경험, 교육 경험이 있는 학생이 경험이 없는 학생보다 인공지능 리터러시가 높았다. 마지막으로 인공지능에 대한 관심이 높을수록 인공지능 리터러시가 높았다.

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Development of K-12 Digital Culture Curriculum for AI Edcuation (AI교육을 위한 초등 디지털 문화 교육과정 개발)

  • Soo-Bum Shin;Jeong-Hye Han
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.449-455
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    • 2022
  • The digital culture area is a field of artificial intelligence education and partially overlaps with information ethics, and this study proposed an elementary school-centered digital culture curriculum, a detailed area of artificial intelligence education. First, as a leading overseas case in the field of digital culture, we analyzed the secure online interaction, which is the core content of the K12CS framework in the United States and the UK's computing curriculum. We presented by categorizing it into four digital areas: content, communication method, copyright, and job exploration in accordance with the domestic educational environment and field conditions. In addition, educational goals were stated according to the level of kindergarten and elementary school, and the validity of a group of field teachers majoring in in information and artificial intelligence was investigated to confirm the validity. As a result of the analysis, it was found that all the contents set were suitable except for some of the detailed goals of the first grade elementary school stages. Accordingly, a digital culture curriculum for artificial intelligence education was presented by revising and supplementing the detailed goals of the first graders.

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.