• Title/Summary/Keyword: 인공지능 원리 교육

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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.

Development of a Game Content Based on Metaverse Providing Decision Tree Algorithm Education for Middle School Students (중학생을 위한 의사결정나무 알고리즘 교육을 제공하는 메타버스 기반 게임 콘텐츠 개발)

  • Hyun, Subin;Kim, Yujin;Park, Chan Jung
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.106-117
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    • 2022
  • In 2021, AI basics were introduced in the high school curriculum. There are many worries that the problem of utilization-oriented education will be repeated with the introduction of artificial intelligence education rather than the principles that occurred when ICT was applied to education in the past. Most of the existing AI education platforms focus only on the use of AI. For artificial intelligence education of middle school students, there are difficulties in learning about the process by which artificial intelligence derives results and learning the principles of artificial intelligence algorithms. Recently, as the educational application of metaverse has become a hot topic, research has been started to improve learning achievement by arousing students' immersion and interest. This research developed educational game contents about decision tree algorithm using metaverse as educational contents that can be used in middle school AI education. By applying games to education, it was intended to increase students' interest and immersion in artificial intelligence, and to increase educational effectiveness. In this paper, the educational effectiveness, difficulty, and level of interest were analyzed for pre-service teachers regarding the developed game content. Based on this, a future principle-oriented artificial intelligence education method was suggested.

Development of AI Education Program for Prediction System Based on Linear Regression for Elementary School Students (선형회귀모델 기반의 초등학생용 인공지능 예측 시스템 교육 프로그램의 개발)

  • Lee, Soo Jeong;Moon, Gyo Sik
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.51-57
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    • 2021
  • Quite a few elementary school teachers began to utilize AI technology in order to provide students with customized, intelligent information services in recent years. However, learning principles of AI may be as important as utilizing AI in everyday life because understanding principles of AI can empower them to buildup adaptability to changes in highly technological world. In the paper, 'Linear Regression Algorithm' is selected for teaching AI-based prediction system to solve real world problems suitable for elementary students. A simulation program written in Scratch was developed so that students can find a solution of linear regression model using the program. The paper shows that students have learned analyzing data as well as comparing the accuracy of the prediction model. Also, they have shown the ability to solve real world problems by finding suitable prediction models.

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A Study on Development of School Mathematics Contents for Artificial Intelligence (AI) Capability (인공지능(AI) 역량 함양을 위한 고등학교 수학 내용 구성에 관한 소고)

  • Ko, Ho Kyoung
    • Journal of the Korean School Mathematics Society
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    • v.23 no.2
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    • pp.223-237
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    • 2020
  • Artificial intelligence technology, which represents the era of the 4th Industrial Revolution, is now deeply involved in our lives, and future education places great emphasis on building students' capabilities for the principles and uses of artificial intelligence. Therefore, the purpose of this study is to develop the contents of AI related education in mathematics, which the relationship is closely connected to each other. To this end, I propose establishing two novel AI-related contents in mathematics education. One subject is related to learning the principle of machine learning based on mathematics foundation. In addition, I draw the core math contents dealt in following subject called 'Basic Mathematics for AI and Data Science.'

Development and Implementation of an Activity-Based AI Convergence Education Program for Elementary School Students (초등학생을 위한 활동중심 인공지능 융합 교육 프로그램 개발 및 적용)

  • Shin, Jinseon;Jo, Miheon
    • Journal of The Korean Association of Information Education
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    • v.25 no.3
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    • pp.437-448
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    • 2021
  • As the core technology of the Fourth Industrial Revolution, AI is applied to various fields of society(e.g. politics, culture, industry, economy, etc.) and causes revolutionary changes. Students who will lead the age of AI need the ability to recognize social changes due to AI, acquire AI related knowledge and utilize AI in various situations. However, it is difficult for elementary school students to understand the concept and principles of AI. Therefore, this study developed an AI education program by selecting educational contents and methods appropriate to the level of elementary school students, and investigated the educational effects of the program by applying it to an actual educational setting. The content selected in this study is 'Social Awareness on AI', 'Understanding AI' and 'Utilizing AI', and eight content elements were selected. To help students learn AI easily and pleasantly at their level, activity-centered education, convergence of subjects and project-based learning were selected as instructional methods, and 20 sessions of education program were developed and implemented. In addition, the effects of the program were analyzed concerning 'perception on AI', 'convergent thinking', 'creative problem-solving' and 'collaboration capability', and positive changes were verified for all four aspects.

Convergence Education Program Using Smart Farm for Artificial Intelligence Education of Elementary School Students (초등학생 대상의 인공지능교육을 위한 스마트팜 활용 융합교육 프로그램)

  • Kim, Jung-Hoon;Moon, Seong-Hwan
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.203-210
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    • 2021
  • This study was conducted to develop a convergence education program using smart farms with both input data(temperature, humidity, etc.) and output data(vegetables, fruits, etc.) that are easily accessible in everyday life so that elementary school students can intuitively and easily understand the principles of artificial intelligence(AI) learning. In order to develop this program, we conducted a prior study analysis of a horticulture, software, robot units in the 2015 Practical Arts curriculum and artificial intelligence education. Based on this, 13 components and 16 achievement criteria were selected, and AI programs of 4 sessions(a total of 8 hours). This program can be used as a reference when developing various teaching materials for artificial intelligence education in the future.

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.

Development of data collection education programs for lower grades in elementary school students (초등학교 저학년을 위한 데이터 수집 교육 프로그램 개발)

  • Yi, Seul;Ma, Daisung
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.275-281
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    • 2021
  • Much of our lives are closely related to artificial intelligence, and society is changing more rapidly. Reflecting this era, the need for artificial intelligence education has emerged and various learning methods have been proposed, but guidance on artificial intelligence teaching and learning activities for lower grades elementary school students is insufficient. Therefore, in this study, the data collection education program for the lower grades of elementary school was developed based on the contents standards of the Korea Foundation for the Advancement of Science & Creativity. Focusing on the principles of artificial intelligence and the detailed data area of the utilization area, the focus was on expressing numbers and letters in various ways, such as colors and pictures, and finding various types of data in life to learn the principles of artificial intelligence. Through this program, it is expected that lower-grade elementary school students will be able to understand the importance of data collection in artificial intelligence through the process of knowing about data and collecting sound, picture, and text data.

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Development of Artificial Intelligence Education Content to Classify Emotion of Sentences for Elementary School (초등학생을 위한 문장의 정서 분류 인공지능 교육 콘텐츠 개발 및 적용)

  • Shim, Jaekwoun;Kwon, Daiyoung
    • Journal of The Korean Association of Information Education
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    • v.24 no.3
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    • pp.243-254
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    • 2020
  • In order to cultivate AI(artificial intelligence) manpower, major countries are making efforts to apply AI education from elementary school. In order to introduce AI education in elementary school, it is necessary to have a curriculum and educational content for elementary school level. This study developed educational contents to experience the principle of AI learning at the unplugged level for the purpose of AI education for elementary school students. The educational content developed was selected as an AI that evaluates the emotion of sentences. In addition, to solve the problem, data attributes were derived and collected, and the process of AI learning was simulated to solve the problem. As a result of the study, the attitude of elementary school students to AI increased post than before. In addition, the task performance rate was averaged at 85%, showing that the proposed AI education content has educational significance.

Development of Convergence Educational Program Using AI Platform: Focusing on Environmental Education for Grades 5-6 (인공지능 플랫폼을 활용한 융합수업안 개발 : 5-6학년 환경교육을 중심으로)

  • Choi, Heyoungyun;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.213-221
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    • 2021
  • With the advent of the 4th industrial revolution, the need for artificial intelligence education has increased. The online learning environment caused by COVID-19 made it possible to use variety of artificial intelligence platforms. In this study, an aritificial intelligence class plan was developed and proposed to achieve the goal of artificial intelligence education using an AI platform. The AI platform used is AI for Oceans, With the theme of creating a program for the environment, designed a 6-hour project class using Novel Engineering-based on STEAM model. Students experience AI for Oceans enough time and learn supervised learning by experience. Based on understanding of supervised learning, students design their own programs for the environment using Entry's AI blocks. In this study, for AI convergence education, this lesson was developed and presented with the goal of acquiring the creative problem solving ability and integrated thinking ability by using the principles of artificial intelligence to solve problems.

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