• Title/Summary/Keyword: 인공지능 융합교육

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A Study on the Design and Operation of Digital Education (including Artificial Intelligence) Subjects for Prospective Early Childhood Teachers (예비유아교사를 위한 디지털교육(인공지능포함) 교과목 설계 및 운영에 관한 연구)

  • Yan Ha
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.373-374
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    • 2023
  • 본 논문에서는 예비유아교사를 위한 디지털교육(인공지능포함) 방안을 제시하며, 이에 맞는 교과목 설계 및 운영에 관한 연구입니다. 최근 4차 산업혁명시대를 맞아 교육부에서 유아교사 자격취득을 위한 세부기준을 발표했는데, 교직과목 중 교직소양영역에 디지털교육을 반드시 포함하도록 하였습니다. 이는 디지털교육의 중요성을 인식하고 교과 과정에 디지털 이해, 디지털 교과 융합교육, 디지털 활용 교육, 디지털윤리 등을 균형있게 학습하도록 하고 있다. 특히 유아교육분야는 유아교사로서 디지털 이해, 활용 및 소양 뿐 만 아니라 유아교육에서 디지털 교과 융합, 인공지능 교육 등을 학습시키는 방안 역시 중요하므로 본 교과목을 통해 미래사회를 주도하는 유아교육분야에 기여하는 바가 크다. 따라서 전문적이고 체계적으로 본 교과목을 설계 및 운영 방안을 제시하고자 한다.

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Methods for Implementing Environmental Education in Elementary Schools by using AI Programming (초등교육에서 인공지능 프로그래밍을 활용한 환경교육 적용 방법)

  • Lee, Yongbae
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.309-314
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    • 2021
  • Even though environmental education has been getting more attention along with the recent rapid increase of natural disasters such as heat wave, heavy snow and downpour, it is unlikely for elementary schools to provide actual lessons due to the shortage of financial support and educational resources. This study is designed to enhance the recycling judgement of the elementary students to define paper, glass, plastic, PET, metal by using AI programming. The survey from the student participants shows that the learning and practice with AI programming was positively helpful for more than 70% of the participants in knowledge obtaining and understanding of recycling. The participants also gained better understanding on artificial intelligence and got motivated to have more opportunities to learn artificial intelligence programming.

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Development of Artificial Intelligence Education based Convergence Education Program for Classifying of Reptiles and Amphibians (파충류와 양서류 분류를 위한 인공지능 교육 기반의 융합 교육 프로그램 개발)

  • Yi, Soyul;Lee, YoungJun
    • Journal of Convergence for Information Technology
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    • v.11 no.12
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    • pp.168-175
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    • 2021
  • In this study, a transdisciplinary convergence education program was developed to enhance the understanding for classification of reptiles and amphibians in biology education and also to increase AI (Artificial Intelligence) capability by using artificial intelligence education. The main content is to solve the classification of reptiles and amphibians that has been dealt with for a long time in biology education, using a decision tree and ML4K (Machine Learnig for Kids), it was designed for a total of 3 lessons. Experts review was conducted on the developed education program, as a result, the I-CVI(Item Content Validity Index) value was .88~1.00 so that can secure content validity. This education program has the advantage of being able to simultaneously learn about the learning contents of artificial intelligence in informatics and the classification of vertebrates in the biological education. In addition, since it is configured to minimize the cognitive load in the AI using part, it is characterized by the fact that all of any teachers can apply it their lesson easily.

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

  • Kang, Ji-eun;Koo, Duk-hoi
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.123-129
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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, and its validity was verified by expert validation. 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. There have been various research cases of software education with Novel Engineering, and its effectiveness has been verified. Artificial intelligence education is also expected to be applied in the school field through Novel Engineering.

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Development of Convergence Education Program for 'Understanding of Molecular Structure' using Machine Learning Educational Platform (머신러닝 교육 플랫폼 활용 '분자 구조의 이해'를 위한 융합교육 프로그램 개발)

  • Yi, Soyul;Lee, Youngjun
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.961-972
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    • 2021
  • In this study, an educational program was developed so that artificial intelligence could be used as a transdisciplinary convergence education with other disciplines. The main educational content is designed for 8 hours using machine learning to help students understand the molecular structure dealt with in high school chemistry. The program developed in this study calculated the I-CVI (Item Content Validity Index) value through expert review, and as a result, none of the items were rejected with a score of .80 or higher. Because the program of this study combines the content elements of the chemistry subject and the information (artificial intelligence) subject academically, it is expected that the learner will be able to increase the convergence talent literacy. In addition, since it is not required to secure a additional number of hours for this educational program, the burden on teachers may be low.

Implications for the Direction of Christian Education in the Age of Artificial Intelligence (인공지능 시대의 기독교교육 방향성에 대한 고찰)

  • Sunwoo Nam
    • Journal of Christian Education in Korea
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    • v.74
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    • pp.107-134
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    • 2023
  • The purpose of this study is to provide a foundation for establishing the correct direction of education that utilizes artificial intelligence, a key technology of the Fourth Industrial Revolution, in the context of Christian education. To achieve this, theoretical and literature research was conducted. First, the research analyzed the historical development of artificial intelligence to understand its characteristics. Second, the research analyzed the use of artificial intelligence in convergence education from an educational perspective and examined the current policy direction in South Korea. Through this analysis, the research examined the direction of Christian education in the era of artificial intelligence. In particular, the research critically examined the perspectives of continuity and change in the context of Christian education in the era of artificial intelligence. The research reflected upon the fundamental educational purposes of Christian education that should remain unchanged despite the changing times. Furthermore, the research deliberated on the educational curriculum and teaching methods that should adapt to the changing dynamics of the era. In conclusion, this research emphasizes that even in the era of artificial intelligence, the fundamental objectives of Christian education should not be compromised. The utilization of artificial intelligence in education should serve as a tool that fulfills the mission permitted by God. Therefore, Christian education should remain centered around God, rooted in the principles of the Bible. Moreover, Christian education should aim to foster creative and convergent Christian nurturing. To achieve this, it is crucial to provide learners with an educational environment that actively utilizes AI-based hybrid learning environments and metaverse educational platforms, combining online and offline learning spaces. Moreover, to enhance learners' engagement and effectiveness in education, it is essential to actively utilize AI-based edutech that reflects the aforementioned educational environments. Lastly, in order to cultivate Christian learners with dynamic knowledge, it is crucial to employ a variety of teaching and learning methods grounded in constructivist theories, which emphasize active learner participation, collaboration, inquiry, and reflection. These approaches seek to align knowledge with life experiences, promoting a holistic convergence of faith and learning.

Suggestions for Class Design of Artificial Intelligence Convergence Education in Elementary and Secondary Schools (초·중등학교에서의 인공지능 융합교육 수업 설계를 위한 제언)

  • Yun, Hye Jin;Cho, Jungwon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.182-184
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    • 2022
  • As artificial intelligence (AI) is emphasized in elementary and secondary school education, interest in AI-applied class activities is increasing. Since AI is taught across various subjects in schools, teachers must plan lessons based on the principles of convergence education. In this paper, the concept of convergence education and matters to be considered for productive class activities were reviewed. Then, considerations for designing AI classes in schools are presented in the following aspects: characteristics of AI education in schools; educational goals for each school level in the general guidelines of the national curriculum; resources to be referenced when composing class content; perspectives on AI-applied software; and anticipated instructional procedures. As a suggestion, the following is presented. First, it is necessary to derive competencies that can be cultivated by AI education in school. Second, it is necessary to specify the design elements and procedures of AI classes based on the subject characteristics.

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Development of an Artificial Intelligence Integrated Korean Language Education Program

  • Dae-Sun Kim;Eun-Hee Goo
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.67-78
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    • 2024
  • Amidst the onset of the Fourth Industrial Revolution and the prominence of artificial intelligence, societal structures are undergoing significant changes. There is a heightened global interest in AI education for nurturing future talents. Consequently, this research aims to develop an AI-integrated Korean language curriculum for first-year high school students, utilizing the ADDIE model for instructional program development. To assess the program's effectiveness, pre-post assessments were conducted on future core competencies (Collaboration, Communication, Critical Thinking, Creativity) and knowledge information processing skills. The curriculum, spanning nine sessions and incorporating four small projects, sought to provide students with a new experience of AI-integrated Korean language education. As a result, students who participated in the program demonstrated improvement in future core competencies across all areas, and positive outcomes were observed in satisfaction levels and qualitative analysis. Through these findings, it is suggested that this program successfully integrates artificial intelligence into high school Korean language education, potentially contributing to the cultivation of future talents among students.

Analysis of Effects of Convergence Education Program about State Classification of the Matters using Machine Learning for Pre-service Teachers (예비교사를 위한 머신러닝 활용 물질의 상태 분류에 대한 융합교육 프로그램의 효과 분석)

  • Yi, Soyul;Lee, YoungJun;Paik, Sung-Hey
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.139-149
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    • 2022
  • The purpose of this study is to develop and analyze the effects of an educational program that can cultivate artificial intelligence(AI) convergence education competency for future education and enhance students' understanding of pre-service teachers. For this end, an AI convergence education program using Machine Learning for Kids and Scratch 3 was developed for 15 weeks under the theme of classifying the state of matter. The developed program were treated by K University pre-service teachers who participated voluntarily. As a result, pre-service teachers were able to metaphorically understand the learning process of students through understanding of machine learning training process. In addition, the pre-post t-test result of AI teaching efficacy showed a statistically significant improvement with t=-7.137 (p<.000). Therefore, it is suggested that the AI convergence education program developed in this study can help to increase the understanding of the pre-service teacher's students in an indirect way other than practice teaching, and can contribute to foster AI education competency.

The Effects of Artificial Intelligence Convergence Education using Machine Learning Platform on STEAM Literacy and Learning Flow

  • Min, Seol-Ah;Jeon, In-Seong;Song, Ki-Sang
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.199-208
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    • 2021
  • In this paper, the effect of artificial intelligence convergence education program that provides STEAM education using machine learning platform on elementary school students' STEAM literacy and learning flow was analyzed. A homogeneous group of 44 elementary school 6th graders was divided into an experimental group and a control group. The control group received 10 lessons of general subject convergence class, and the experimental group received 10 lessons of STEAM-based artificial intelligence convergence education using Machine learning for Kids. To develop the artificial intelligence convergence education program, the goals, achievement standards, and content elements of the 2015 revised curriculum to select subjects and class contents is analyzed. As a result of the STEAM literacy test and the learning flow test, there was a significant difference between the experimental group and the control group. In particular, it can be confirmed that the coding environment in which the artificial intelligence function is expanded has a positive effect on learners' learning flow and STEAM literacy. Among the sub-elements of convergence talent literacy, significant differences were found in the areas of personal competence such as convergence and creativity. Among the sub-elements of learning flow, significant differences were found in the areas such as harmony of challenge and ability, clear goals, focus on tasks, and self-purposed experiences. If further expanded research is conducted in the future, it will be a basic research for more effective education for the future.