• Title/Summary/Keyword: Literacy Content Elements

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An Analysis on ICT Lietracy Level of Elementary School Student according to Pricipal's Awareness of Educational Information Technology (학교장의 교육정보화 인식이 학생들의 ICT 리터러시 수준에 미치는 영향 분석)

  • Kim, Sung Sik;Ahn, Seonghun
    • The Journal of the Korea Contents Association
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    • v.16 no.2
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    • pp.268-276
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    • 2016
  • In this paper, we analyzed the link between school's educational information technology level and ict literacy level of students in elementary school. Specially we concerned about the link between principal's awareness of ict and ict literacy level of students. This ICT literacy levels were measured by sampling 1%(12,759 students) of the entire school year for elementary school 4-6. The educational information technology level of sample student's school was extracted from the Ministry of Education data. Then the two materials was analyzed in conjunction with each other. As a result, Higher recognize of principal, higher ict literacy level of students. That is sure in human realm. But that is difficult to conclude in ict infra and ict using realms. According to this result, it is more important to develop ability and awareness of teacher for ict than to support building of ict infra and using of ict. Therefore, we need to make a plan to develop ability and awareness of teacher for ict with building of ict infra.

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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Necessity of AI Literacy Education to Enhance for the Effectiveness of AI Education (AI교육 효과성 제고를 위한 AI리터러시 교육의 필요성)

  • Yang, Seokjae;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.295-301
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    • 2021
  • This study tried to examine the necessity of AI literacy education to increase the effectiveness of artificial intelligence education ahead of the revision of the next revised curriculum. To this end, AI modeling classes were conducted for high school students and the necessity, content, and training period of AI literacy perceived by students in AI education were investigated through a questionnaire. The results showed that they generally agreed on the need for data utilization and data preprocessing in the AI class, and in the course of the AI class, there were many cases of difficulties due to lack of basic competencies for database use. In particular, it was observed that the understanding of the file structure for data analysis was insufficient and the understanding of the data storage format for data analysis was low. In order to overcome this part, the necessity of prior education for data processing was recognized, and there were many opinions that it is generally appropriate to go to high school at that time. As for the content elements of AI literacy, it was found that there were high demands on the content of data visualization along with data transformation, including data creation and deletion.

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Development of High School Home Economics Financial Consumer Education Program based on Backward Design (백워드 디자인에 기반한 고등학교 가정교과 금융소비자교육 프로그램 개발)

  • Ji Hye Cha;Mi Jeong Park
    • Human Ecology Research
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    • v.61 no.3
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    • pp.297-318
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    • 2023
  • The purpose of this study was to develop a high school home economics financial consumer education program based on backward design and validation by experts. The program was designed and developed by first selecting learning content elements through a review of existing research and an analysis of relevant literature. The next step was to categorize these elements into seven themes and apply the backward design instructional design model 2.0. The program was prepared in the form of a 21st teaching-learning course plan and workbook and was verified by nine home economics teachers with working experience in high school. The evaluation revealed that the average value for all questions was 3.81 (out of 4 points) and the CVR was .99, indicating that the program was valid. In addition, positive evaluations were received in terms of learning goals, content level, and learner participation by class. This study has significance in that a systematic financial consumer education program was developed by Education of Home Economics to improve the financial literacy of high school students. It can therefore be used as an elective course (mini-course) in Home Economics in the high school credit system. A follow-up study will be required to assess the improvement in financial literacy after implementing this program.

A Study on the Perception of Librarians of the Impact that Libraries Have on Society

  • Noh, Younghee
    • International Journal of Knowledge Content Development & Technology
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    • v.6 no.2
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    • pp.109-147
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    • 2016
  • This study comprehensively analyzed domestic and foreign literature related to the value and impact of libraries on education, social behavior and economic conditions, developed a survey to investigate the librarians' perception of the libraries' value and impact, and accordingly investigated the perception of librarians according to the types of libraries in which they worked, public versus university. The results showed that the impact is greatest on education and literacy with a mean score of 3.98, followed by their social impact with 3.67 and their economic impact with 3.46. When subordinate items were analyzed it was found that the librarians perceived that the role that libraries are playing in the education area is expanding and their impact on reading and literacy is becoming greater and greater. Libraries were viewed as essential elements for education and the education system. When the difference in perception related to the impact of libraries was compared by types of libraries, the librarians in public libraries tended to rate their facilities higher than the librarians working in universities on most of the items.

A Research on Curriculum Design for Artificial Intelligence Liberal Arts Education by Major Category : Focusing on the Case of D University (전공계열별 인공지능 교양교육을 위한 교육과정 제언 : D대학 교양필수 교과목 사례를 중심으로)

  • Park, So Hyun;Suh, Eung Kyo
    • The Journal of Information Systems
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    • v.30 no.3
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    • pp.177-199
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    • 2021
  • Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

Case analysis of educational program of museum using online contents -Focusing on Jenkin's new media literacy- (온라인 콘텐츠를 활용한 미술관 교육 프로그램 사례 분석 -젠킨스의 뉴미디어리터러시로-)

  • Baek, Gun-A;Huh, Yoon-Jung
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.125-134
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    • 2020
  • This study analyzed the cases of online art museum education based on the core competency of Jenkins' new media literacy to supplement the limitations of online art museum education programs. The core competency of media education suggested by Jenkins can serve as a reference point for an online art museum content. For the case analysis, 4 museums were selected as the domestic art museum, and 4 as the overseas art museum. The results of analysis based on new media literacy are as follows. In the case of overseas art museums, content for mutual communication such as video conferencing and commenting at the bottom of the site page was constructed, but domestic online art museums lacked these elements. Therefore, there is a need to improve core competency of appropriation, networking, negotiation, distributed cognition, and collective intelligence by organizing communication content.

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.

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 Proposal of Informatics curriculum content system for kindergarten and elementary school in connection with the 2022revised curriculum (2022 개정 교육과정과 연계한 유치원·초등학교정보교과내용 체계 제안)

  • Youngho Lee;Inhwan Yo;Youngkwon Bae;Wooyeol Kim
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.491-505
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    • 2022
  • The importance of information education is recognized at home and abroad, and education policies are changing in the direction of expanding informatics education. Therefore, in this study, an elementary school information curriculum content system was developed by forming an expert group consisting of professors at the University of Education and the College of Education working in the Department of Computer Education and elementary and secondary information teachers with experience in curriculum development. Specifically, a content system was developed for the area of elementary school information education with linkage and hierarchy with the secondary information curriculum in the 2022 revised curriculum, core ideas for each area, content elements for each area, and instructional content for each grade level. Through this study, connectivity was secured in information education in elementary and secondary schools, and it is meaningful that the content elements of digital literacy were included in each content area. It is expected that the content system of the elementary school information curriculum proposed in this study will be helpful as a basic data for the development of certified textbooks and independence of information subjects in the future.