• Title/Summary/Keyword: 인공지능SW교육

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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.

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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The Necessity of an Elementary School Information Curriculum based on the Analysis of Overseas SW and AI Education (해외 SW·AI 교육 현황 분석을 통한 초등학교 정보 교과의 필요성)

  • Song, Ui-Sung;Rim, Hwa-Kyung
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.301-308
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    • 2021
  • In line with the social changes due to the Fourth Industrial Revolution, foreign countries are strengthening information education for the future of education. This study analyzed the current status of software (SW) and artificial intelligence (AI) education among different types of information education programs in elementary schools of major foreign countries, and compared them with the education provided in Korea. Compared to major foreign countries, Korea allocated very little time for software education in elementary schools, making it difficult to sufficiently cover all areas of the curriculum achievement standards. In addition, other countries recognized the importance of artificial intelligence, an important technology of the Fourth Industrial Revolution, and were providing artificial intelligence education on the basis of software education at the national level. The Korean government is also planning on providing the education at national level, but it was identified that the information education of elementary schools have many problematic issues. This study emphasized the need to establish an information curriculum for elementary schools as a way to address these issues.

AiMind: AI Experience and Physical Computing Education Platform (AiMind: AI 체험 및 피지컬컴퓨팅 교육 플랫폼)

  • Se-Hoon Lee;Ki-Tea Kim;Jay Yun;Do-Hyung Kang;Young-Ho Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.395-396
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    • 2023
  • 본 논문에서는 디지털 전환 시대에 모든 사람들이 인공지능(AI) 체험부터 피지컬컴퓨팅을 통해서 SW·AI 융합해 아이디어를 쉽게 구현하고 교육 받을 수 있는 플랫폼을 구현하였다. AI 체험을 위해 P5.js와 텐서플로우에 기반한 ML5.js 라이브러리를 이용해 블록 코딩을 할 수 있도록 하였다. 또한 피지컬컴퓨팅에서는 마이크로비트와 아두이노, 라즈베리파이 등을 WebUSB를 통해서 PC와 연결하고 플랫폼에서 인공지능의 다양한 서비스와 융합시킬 수 있도록 제공한다.

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Proposal for AI/SW Education of Machine learning based on the chemical element symbol image for the Utilizing Future Intelligent Laboratory (미래 지능형 과학실 활용을 위한 "화학원소기호 이미지 기계학습 AI·SW교육 프로그램" 제안)

  • Park, Min-Sol;Park, Ju-Bon;Park, Yu-Min;Cho, Young-Ju
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.629-632
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    • 2020
  • 현대사회는 4차 산업혁명 시대가 도래하면서 초연결, 초지능, 초융합 사회로 변화되고 있다. 최근 교육부는 많은 변화가 요구되고 있는 교육분야, 교육정책 방안으로 SW(소프트웨어)교육에 AI(인공지능) 교육까지 추가되야 한다고 제안하고 2024년까지 첨단 기술을 활용한 지능형 과학실을 구축한다고 밝혔다. 이에 본 논문에서는 정부의 교육정책 방안이 원활하게 진행될 수 있고 융합 교육 분야에서 활용될 수 있는 "미래 지능형 과학실 활용을 위한 화학원소기호 이미지 기계학습 AI·SW교육 프로그램"을 제안하고자 한다.

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A Case Study of Artificial Intelligence Convergence Education using Entry in Elementary School (초등학교에서의 엔트리를 활용한 인공지능 융합 교육 사례)

  • Han, Kyujung;Ahn, Hyeongjun
    • Journal of Creative Information Culture
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    • v.7 no.4
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    • pp.197-206
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    • 2021
  • This study is a case of convergence education using the AI model of entry in elementary schools. The subject is English, and the class was conducted based on the image learning model among the convergence activities with the art department drawing and the AI model of the entry. In order to effectively achieve the learning goals of speaking and writing in English education. The class was designed by combining art and SW. Students experienced communication using AI, improved confidence, and were able to improve creativity and communication skills by expressing not only listening and speaking but also expressing through various media such as pictures and photos. In addition, in order to find out the effectiveness of the class, a survey was conducted on students and the results were analyzed. As a result of the analysis, it was found that it had a positive effect on students' participation rate, degree of understanding AI after class, interest in AI, satisfaction with AI classes.

The Education Model of Liberal Arts to Improve the Artificial Intelligence Literacy Competency of Undergraduate Students (대학생의 AI 리터러시 역량 신장을 위한 교양 교육 모델)

  • Park, Youn-Soo;Yi, Yumi
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.423-436
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    • 2021
  • In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

A Analysis of SW Experience in AI Basic Liberal Arts Education (AI기초교양교육에서 SW경험에 따른 학습자 분석)

  • Oh, Kyungsun;Jang, Eunsill
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.769-778
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    • 2021
  • Humanity faces the 4th industrial revolution, many countries are providing systematic and continuous SW education to foster talent with AI capabilities. On the other hand, there are high concerns that the SW gap will widen and polarize as domestic reality does not provide systematic and continuous SW education to learners. Against this background, this study started to investigate the influence of learners' SW experience on SW education. As a result of the study targeting science and engineering students, the effect of SW experience on SW education was significant. With theses results, it is expected that various discussions will be actively conducted so that systematic and continuous SW education can be provided in elementary and secondary schools.

The Artificial Intelligence Literacy Scale for Middle School Students

  • Kim, Seong-Won;Lee, Youngjun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.225-238
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    • 2022
  • Although the importance of literacy in Artificial Intelligence (AI) education is increasing, there is a lack of testing tools for measuring such competency. To address this gap, this study developed a testing tool that measures AI literacy among middle school students. This goal was achieved through the establishment of an expert group that was enlisted to determine the relevant factors and items covered by the proposed tool. To verify the reliability and validity of the developed tool, a field review, exploratory factor analysis, and confirmatory factor analysis were conducted. These procedures resulted in a testing tool comprising six domains that encompass 30 items. The domains are the social impact of AI (eight items), the understanding of AI (six items), AI execution plans (five items), problem solving with AI (five items), data literacy (four items), and AI ethics (two questions). The items are to be rated using a five-point Likert scale. The internal consistency of the tool was .970 (total), while that of the domains ranged from .861 to .939. This study can serve as reference for developing the analysis of AI literacy, teaching and learning, and evaluation in AI education.

The Educational Perception on Artificial Intelligence by Elementary School Teachers (초등 교사들의 인공지능에 관한 교육적 인식)

  • Ryu, Miyoung;Han, SeonKwan
    • Journal of The Korean Association of Information Education
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    • v.22 no.3
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    • pp.317-324
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    • 2018
  • This study analyzes elementary school teachers' perception of Artificial Intelligence, educational effect, and necessity in education. To analyze teachers' perceptions, we developed questionnaires with expert advice. We collected questionnaires for 151 elementary school teachers. The collected data were analyzed by t-test and one-way ANOVA. As a result, AI' perceptions of female teachers were lower than those of male teachers and the necessity of education was less. Teachers with experience in leading schools recognized that AI education would help to improve creativity. Teachers who have a lot of teaching experience, many experience in SW education, the experience in SW education have a high interest in AI and understand the relevance of the subject. We expect that this study will help the direction of SW education.