• Title/Summary/Keyword: 인공지능 활용 교육

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A Study on the Composition of Factors in Teaching Competence Using Artificial Intelligence of Pre-service Early Childhood Teachers (예비 유아 교사들의 인공지능 활용 교육역량 요인 구성 연구)

  • Eunchul Lee
    • Journal of Christian Education in Korea
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    • v.72
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    • pp.183-203
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    • 2022
  • The purpose of this study is to construct factors of AI education utilization competency. AI education utilization competency is used as basic data for education to enhance the AI education competency of pre-service early childhood teachers. To this end, 7 studies related to competency factors and models were selected by searching for previous studies. Seven preceding studies were analyzed. As a result, 18 competency factors were extracted, including understanding of artificial intelligence. The extracted competency elements were divided into six areas, which are divided into understanding subject knowledge through coding, class preparation, class management, class result feedback, class guidance, and self-development. And 15 factors were constructed. The draft formed through coding was improved through review by three early childhood education experts. Factors improved through expert review were structured by classifying them into knowledge, skills, and attitudes to organize the curriculum. The validity of the structured competency factor was verified through expert Delphi. As a result of the Delphi verification, all factors were converged in the first survey. Through this, 6 competency areas, 11 competency factors, and 19 competency factors were composed of knowledge, 10 skills, and 5 attitudes. The implication is that the competency factors presented as a result of this study can be used as basic data for organizing a curriculum to improve the ability of pre-service early childhood teachers to use artificial intelligence education.

Secondary Mathematics Teachers' Perceptions on Artificial Intelligence (AI) for Math and Math for Artificial Intelligence (AI) (도구로서 인공지능과 교과로서 인공지능에 대한 중등 수학 교사의 인식 탐색)

  • Sim, Yeonghoon;Kim, Jihyun;Kwon, Minsung
    • Communications of Mathematical Education
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    • v.37 no.2
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    • pp.159-181
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    • 2023
  • The purpose of this study is to explore secondary mathematics teachers' perceptions on Artificial Intelligence (AI). For this purpose, we conducted three focus group interviews with 18 secondary in-service mathematics teachers and analyzed their perceptions on AI for math and math for AI. The secondary in-service mathematics teachers perceive that AI allows to implement different types of mathematics instruction but has limitations in exploring students' mathematical thinking and having emotional interactions with students. They also perceive that AI makes it easy to develop assessment items for teachers but teachers' interventions are needed for grading essay-type assessment items. Lastly, the secondary in-service mathematics teachers agree the rationale of adopting the subject <Artificial Intelligence Mathematics> and its needs for students, but they perceive that they are not well prepared yet to teach the subject and do not have sufficient resources for teaching the subject and assessing students' understanding about the subject. The findings provide implications and insights for developing individualized AI learning tools for students in the secondary level, providing AI assessment tools for teachers, and offering professional development programs for teachers to increase their understanding about the subject.

A Case Study on AI-STEAM Education through Making Chatbot for Preservice Teachers (예비교사를 위한 챗봇 제작 AI-STEAM 교육 사례 연구)

  • Kim, Ji-Yun;Kim, Kwihoon;Lee, Tae-Wuk
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.135-138
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    • 2021
  • 본 논문에서는 예비교사를 위한 AI-STEAM 교육 사례로서 봇빌더를 활용한 챗봇 제작 교육을 실시하고 이를 바탕으로 챗봇 제작 AI-STEAM 교육을 위한 시사점을 제시하였다. 최근 관련 정책이 발표되는 등 인공지능 교육이 학교에서 실시되기 위한 기반이 마련되었다. 인공지능 교육이 학교 현장에 제대로 안착되기 위해서는 현직 교사들에 대한 보수교육 뿐 아니라 교육 및 사범대학의 교원양성과정에서도 인공지능 교육이 실시되어야 할 필요가 있다. 본 논문에서는 교사들의 인공지능 교사교육 요구를 바탕으로 AI-STEAM을 제안하고 다양한 전공의 예비교사를 위한 챗봇 제작 AI-STEAM 교양교육 및 학생 작품 사례를 제시하였다.

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Development of the Content Framework for Elementary Artificial Intelligence Literacy Education (초등학생의 인공지능 소양을 기르기 위한 내용체계 개발)

  • Youngsik Jeong
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.375-384
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    • 2022
  • As artificial intelligence(AI) education becomes essential in elementary schools with the revised 2022 curriculum, it is necessary to develop an AI curriculum for elementary school students. In this study, I developed the AI content framework to cultivate AI literacy of elementary school students. AI education areas were largely divided into AI understanding and AI development, and detailed areas were divided into eight categories: using of AI, impact of AI, AI ethics, recognition of AI, data expression, data exploring, learning of AI, and prediction of AI. In addition, twice expert Delphi surveys were conducted to verify the validity of the subject elements and achievement standards for each area. The final draft was finalized after reflecting expert opinions on the AI education content framework. In order for AI education to be expanded in elementary schools in the future, continuous research is needed, such as developing textbooks and teaching tools according based on the AI framework proposed in this study, securing the lesson hours to apply them to schools, and correcting and supplementing the problems of them.

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 Effect of AI Experience Program Using Teachable Machine on AI Perception of Elementary School Students (Teachable machine을 활용한 인공지능 체험 프로그램이 초등학생의 인공지능 인식에 미치는 영향)

  • Lee, Seung-mee;Chun, Seok-Ju
    • 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.

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.

A Comparative Analysis of Contents Related to Artificial Intelligence in National and International K-12 Curriculum (국내외 초·중등학교 인공지능 교육과정 분석)

  • Lee, Eunkyoung
    • The Journal of Korean Association of Computer Education
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    • v.23 no.1
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    • pp.37-44
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    • 2020
  • As the importance of artificial intelligence(AI) education is emphasized recently, policies and researches are being promoted to develop the AI curriculum or courses for K-12 students in worldwide. In this study, researcher analysed a synthesis of contents and standards on AI education curriculum to present implications for AI education in the elementary and secondary schools. As a result, Korea and the United States are proposing national curriculum standards to provide the basis for AI curriculum establishment in school sites and to provide guidelines for various related policies such as teacher training programs. The EU's AI education is characterized by its curriculum and online courses to ensure that all citizens of the EU have AI literacy, rather than designating students or subjects at specific school levels. In terms of educational contents and levels, Korea, United States, and EU's curriculum or standards includes basics and applications related to machine learning and neural network based on the fundamental concepts and principles of artificial intelligence.

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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Design of Artificial Intelligence Course for Humanities and Social Sciences Majors

  • KyungHee Lee
    • 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.