• Title/Summary/Keyword: AI 교육 내용

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Case Analysis of Elementary School Classes based on Artificial Intelligence Education (인공지능 교육 기반 초등학교 수업 사례 분석)

  • Lee, Seungmin
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.377-383
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    • 2021
  • The purpose of this study is to present the direction of elementary school AI education by analyzing cases of classes related to AI education in actual school settings. For this purpose, 19 classes were collected as elementary school class cases based on AI education. According to the result of analyzing the class case, it was confirmed that the class was designed in a hybrid aspect of learning content and method using AI. As a result of analyzing the achievement standards and learning goals, action verbs related to memory, understanding, and application were found in 8 classes using AI from a tool perspective. When class was divided into introduction, development, and rearrangement stages, the AI education element appeared the most in the development stage. On the other hand, when looking at the ratio of learning content and learning method of AI education elements in the development stage, the learning time for approaching AI education as a learning method was overwhelmingly high. Based on this, the following implications were derived. First, when designing the curriculum for schools and grades, it should be designed to comprehensively deal with AI as a learning content and method. Second, to supplement the understanding of AI, in the short term, it is necessary to secure the number of hours in practical subjects or creative experience activities, and in the long term, it is necessary to secure information subjects.

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A Trend Analysis of Computer Education based on SNS Data through Data Mining Analysis (텍스트마이닝 분석을 활용한 SNS 데이터 기반의 정보교육의 동향 분석 연구)

  • Kim, Kapsu;Chun, Seokju;Koo, Dukhoi;Shin, Seungki
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.289-300
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    • 2021
  • SNS data was collected and analyzed by topic modeling techniques to examine recent trends in information education. By deriving keywords and topics for SW education and AI education, we not only attempted to discover insights ahead of the next revised curriculum but also suggested directions. According to the SNS data analysis, the contents of human resource development for software and the instructional method in schools are indicated as a high requirement. Meanwhile, SW education should be conducted through a separate curriculum from elementary school, and this was consistent with the opinion that it is necessary to be organized as a required subject. There was an opinion to support the schools since AI education is newly introduced in next revised national curriculum. The trends in SW education and AI education which are observed through SNS data analysis could be concluded to conduct the substantial operation of information education and curriculum organization.

A Study on the Definition of Data Literacy for Elementary and Secondary Artificial Intelligence Education (초·중등 인공지능 교육을 위한 데이터 리터러시 정의 연구)

  • Kim, SeulKi;Kim, Taeyoung
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.59-67
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    • 2021
  • The development of AI technology has brought about a big change in our lives. As AI's influence grows from life to society to the economy, the importance of education on AI and data is also growing. In particular, the OECD Education Research Report and various domestic information and curriculum studies address data literacy and present it as an essential competency. Looking at domestic and international studies, one can see that the definition of data literacy differs in its specific content and scope from researchers to researchers. Thus, the definition of major research related to data literacy was analyzed from various angles and derived from various angles. In key studies, Word2vec natural language processing methods, along with word frequency analysis used to define data literacy, are used to analyze semantic similarities and nominate them based on content elements of curriculum research to derive the definition of 'understanding and using data to process information'. Based on the definition of data literacy derived from this study, we hope that the contents will be revised and supplemented, and more research will be conducted to provide a good foundation for educational research that develops students' future capabilities.

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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.

An Exploratory Study on Developing the AI Essay Test Tool based on ChatGPT: Focusing on the Interaction with the Engineer (ChatGPT를 활용한 AI 글쓰기 의사소통 역량 평가도구 개발 과정에 대한 연구: 기술 전문가와의 상호소통을 중심으로)

  • So-Young Park;ByungYoon Lee;Yujung Hong
    • Journal of Practical Engineering Education
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    • v.16 no.1_spc
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    • pp.21-31
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    • 2024
  • This study focused on the development of an AI essay tool for assessing writing-communication competence using ChatGPT. During the development process, the interaction between content expert and technical expert was emphasized to explore the fusion of IT and humanities and social sciences. Through close communication and interaction between the content and technical experts, they incorporated scoring criteria for writing-communication competence and developed an AI essay test tool that provides scores and feedback in the appropriateness of content, effectiveness of organization, and accuracy of grammar. This process revealed how content and technology combine and presented considerations for future fusion researchers, including technical experts in generative AI assessment tools.

Analysis of Primary and Secondary Informatics Curriculum Content Components Based on Computing Curricula 2020 (Computing Curricula 2020에 기반한 국내 초·중등 정보 교육과정 내용 요소 분석)

  • JaeRi Jeong;Seong-Won Kim;Youngjun Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.233-236
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    • 2023
  • 본 연구에서는 Computing Curricula 2020에서 제시하고 있는 지식 요소를 바탕으로 초등학교 실과와 중학교 정보 교과의 내용 요소의 변화를 비교·분석해 보았다. 연구 결과, 초등학교는 2022 개정 교육과정에서 총 5개의 지식 요소를 포함하였고, '컴퓨팅 시스템 기초', '디지털 디자인'과 관련한 내용 요소가 추가되었다. 중학교는 2022 개정 교육과정에서 총 11개의 지식 요소를 포함하였고, '운영체제', '지능 시스템(AI)'과 관련한 내용 요소가 추가되었다. 그 중 내용 요소의 비율이 크게 변화한 영역은 '소프트웨어 설계', '자료구조 및 알고리즘과 복잡도', '운영체제', '지능 시스템(AI)' 등이었다. 향후 연구에서는 본 연구에서 분석하지 못한 고등학교 정보과의 내용 요소를 분석해보고자 한다.

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Systematic literature review on AI-based mathematics teaching and learning: Focusing on the role of AI and teachers (AI 기반 수학 교수·학습에 대한 체계적 문헌 고찰: AI의 역할과 교사의 역할을 중심으로)

  • Jungeun Yoon;Oh Nam Kwon
    • The Mathematical Education
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    • v.63 no.3
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    • pp.573-591
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    • 2024
  • The purpose of this study is to explore research trends on AI-based mathematics teaching and learning. For this purpose, a systematic literature review was conducted on 57 literatures in terms of research subject, research method, research purpose, learning content, type of AI, role of AI, and role of teachers. The results indicate that student accounted for the largest proportion at 51% among the research subjects, and quantitative research was the highest at 49% among the research methods. The purpose of study was distributed as follows: effect analysis 44%, theoretical discussion 35%, case study 21%. 'Numbers and Operations' and 'Variables and Expressions' covered learning contents most, and Intelligent Tutoring System (ITS) was used the most among the types of AI. 'Student teaching' was the largest parts of role of AI at 40.4%, followed by 'teacher support' at 22.8%, 'student support' at 21%, and 'system support' at 15.8%. The role of teachers as 'AI recipients' was highlighted in earlier studies, and the role of teachers as 'constructive partner with AI' was highlighted in more recent studies. Also, role of teachers was explored in pedagogical, AI-technological, content aspects. Through this, follow-up research was suggested and the roles that teachers should have in AI-based mathematics teaching and learning were discussed.

Development of the Contents of AI Convergence Education Method Subjects and Verification of Teaching Efficacy Effectiveness for Elementary and Secondary Teachers

  • Kim, Jeong-Rang
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.217-223
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    • 2022
  • In this paper, the needs and environment of the 'AI Convergence Education Method' were analyzed for elementary and secondary teachers, and based on this, teaching efficacy of informatics education was verified. For the research, elementary and secondary teachers who take the subject were selected, and based on the results of analyzing the general characteristics, pre-knowledge level, and needs of the subject, curriculum for 15 weeks was developed. As a result of verifying the teaching efficacy effectiveness of the developed 'AI Convergence Education Method' subject for 15 weeks, the effectiveness of the information education teaching efficacy was verified. Among the factors, there were statistically significant differences in information teaching values and information teaching strategies. In the future, it is necessary to conduct follow-up research to secure teachers' professionalism, such as linking with schools and convergence with other subjects. Various teaching and learning materials and teaching and learning methods such as educational contents and materials, reference literature, and artificial intelligence education platforms need to be prepared.

A Study on the Development of AI Utilization Guide Components at a Christian University (기독교대학의 AI활용가이드 구성요소 개발 연구)

  • Sungwon Kam;Minho Kim
    • Journal of Christian Education in Korea
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    • v.77
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    • pp.171-201
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    • 2024
  • Purpose of Research : Since ChatGPT's 2022 release, the educational sector faces mixed reactions to generative AI, sparking innovation but raising concerns about student cognition and communication. While Christian colleges employ AI reflecting their values, secular institutions stress ethical usage. This study explores ethical AI use in these settings, aiming to integrate findings into educational practices. Research content and method : Analyzing AI use and ethics guidelines from 50 domestic and international universities, differences between Christian and secular institutions were explored. Data was categorized, conceptualized via open coding, and components were identified through axial coding. The importance of components for Christian colleges' AI guides was assessed based on the initial data and previous research, leading to the development of tailored AI utilization components for Christian universities. Conclusion : Studies revealed secular institutions have six AI guide components, while Christian colleges found seven in both utilization and ethics guides, focusing on truthfulness, responsibility, and diversity. Emphasizing the need for ethical AI use in Christian colleges, the findings advocate developing AI ethics guidelines to aid marginalized groups and establish a new educational paradigm through further research.

A Curricular Study on AI & ES in Library and Information Science (문헌정보학에서의 인공지능과 전문가시스템 교육과정 연구)

  • Koo Bon-Young;Park Mi-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.32 no.2
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    • pp.211-232
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    • 1998
  • It is the purpose of this study to specify contents of Library and Information Science to train information professional to meet environment change of technology and system. Among them. recognizing necessity of present Artificial Intelligence and Export System (AI and ES) required by changing environment of latest Information technology, it is also the purpose of this work to figure out fundamental data and the way of solution how to introduce what contents out of AI and ES to Library and Information Science. The briefed results are as follows. 1. Due to rapid change of high Information technology and computer application it is the most important essential points, In order of Importance, in finding available network source, In indexing on-line data base, in analysing and design information system. and in computer application ability. 2. In contents of AI and ES, most Important training portion for Library and Information Science are : data base treating, thesaurus, natural language processing. and knowledge representation. 3. Library and information science professors recognize It necessary for bigger number of Library and Information Science students to be educated artificial intelligence and expert system. 4. During forthcoming age it shows more important reorganization that artificial intelligence and expert system improves information professional in reference service, cataloging, classification, information retrieval, and documentation delivery 5. According to library and information science professors more important reorganization on the subject of AI and ES, the curricular on AI and ES is, forthcoming, to be Introduced to curricular on library and information science in the nation, In order of importance, (see 1. above).

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