• Title/Summary/Keyword: AI Curriculum

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Analysis of the Current Status of the AI Major Curriculum at Universities Based on Standard of AI Curriculum

  • Kim, Han Sung;Kim, Doohyun;Kim, Sang Il;Lee, Won Joo
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.25-31
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    • 2022
  • The purpose of this study is to explore the implications for the systematic operation of the AI curriculum by analyzing the current status of the AI major curriculum in universities. To this end, This study analyzed the relevant curriculum of domestic universities(a total of 51 schools) and overseas QS Top 10 universities based on the industry demand-based standard of AI major curriculum developed through prior research. The main research results are as follows. First, in the case of domestic universities, Python-centered programming subjects were lacking. Second, there were few subjects for advanced learning such as AI application and convergence. Third, the subjects required to perform the AI developer job were insufficient. Fourth, in the case of colleges, the ratio of AI mathematics-related subjects was low. Based on these results, this study presented implications for the systematic operation of the AI major education.

A Study on the Composition of Curriculum for AI Education in Elementary School (초등학교 AI교육을 위한 교육과정 구성 연구)

  • Bae, Youngkwon;Yoo, Inhwan;Yu, Wonjin;Kim, Wooyeol
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.279-288
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    • 2021
  • The interest in artificial intelligence education in education is also high based on recent social interest in artificial intelligence. Accordingly, Korea is preparing a foothold for revitalizing artificial intelligence education in the future, such as announcing an artificial intelligence education plan by expanding from software (SW) education that has become a regular curriculum after the 2015 revised curriculum, and various studies are being conducted. However, research on the curriculum related to what and how to educate in artificial intelligence education is still in its infancy and further research is needed. A look at related research shows many similarities and differences in research related to domestic and foreign AI curriculum, because there are differences in the areas and content elements that each research focuses on. Therefore, in this study, in preparation for the future independence of the information subject and the formalization of AI education, literature studies on domestic and foreign AI curriculum are conducted, and based on this, the direction of the curriculum composition for elementary school AI education is to be explored.

Exploring the Operating and Supporting Direction of AI Curriculum by Analyzing A High School Case Study

  • Sungryong Ju;Seulgi Song;Seung-Bo Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.175-186
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    • 2023
  • This study was conducted to explore the necessary conditions and support for stable operation of an expanded AI curriculum in education. A high school that has implemented an AI curriculum since 2020 was targeted, and students and teachers were surveyed on their perceptions of the AI curriculum, implementation and support strategies. The survey items were categorized into 1) experience with AI education, 2) implementation direction of AI education, and 3) expected effects through AI education, and the results were derived focusing on frequency analysis to identify trends. The analysis resulted in three implications. First, it was suggested that the activation of AI education. Second, the need to develop a hands-on AI curriculum and incorporate AI throughout the entire curriculum was highlighted. Third, it was emphasized that efforts to enhance the capabilities of teachers to implement AI teaching and learning, along with the expansion of physical infrastructure for hands-on education, are necessary.

Exploration of AI Curriculum Development for Graduate School of Education (교육대학원 AI교육과정 개발 탐색)

  • Bae, Youngkwon;Yoo, Inhwan;Jang, Junhyeok;Kim, Daeyu;Yu, Wonjin;Kim, Wooyeol
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.433-441
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    • 2020
  • The advent of the intelligent information society and artificial intelligence education for fostering future talents is attracting the attention of the education community, and the AI graduate course for teachers is also being opened and operated. The curriculum of the AI education graduate school, which was established this year, is self-contained considering the conditions of each university. Are organized. Accordingly, this study seeks to explore the direction of curriculum development so that AI curriculum that can be more effective and enhance educational value in the graduate school of education can be developed in the future. Based on the Backward design, the AI curriculum proposed in this study includes Bloom's digital taxonomy, Bruner's spiral curriculum composition principle, and three elements such as 'content domain', 'level', and 'teacher learning method'. It was intended to consist of. Based on the direction of AI curriculum development suggested in the study, we hope that the AI curriculum of domestic graduate schools of education will be more substantial, and this framework will be revised and supplemented in the future to be used in the composition of the AI curriculum in elementary and secondary schools.

Development and Application of AI Education Immersion Course for school autonomous curriculum at Elementary School

  • Soo-Hwan, Lee;Jeong-Rang, Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.201-208
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    • 2023
  • As the demand for AI education increases, AI education is actively conducted in the educational field, but it is difficult to internalize AI education due to securing time, difficulty in organizing class contents, and lack of curriculum. As a way to solve this problem, there is a school autonomous course. The school autonomous course allows schools to have autonomy and discretion throughout the curriculum, such as adjusting the number of hours in the subject group and restructuring the use of achievement standards. In this study, in order to enhance AI education, the effect was analyzed by developing and applying an AI education immersion course using a school autonomous curriculum. In the AI education immersion course, students continuously experience AI education in a dense manner within a limited time, so substantial AI education can be achieved. After the AI curriculum, it was found that students' overall AI literacy and self-determination learning motivation improved. It is expected that this study will be able to present a direction to internalize AI education using school autonomous curriculum.

A Study on the Direction of Department of Contents, University Curriculum Introduction According to the Development Status of Image-generating AI

  • Sung Won Park;Jae Yun Park
    • Journal of Information Technology Applications and Management
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    • v.30 no.5
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    • pp.107-120
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    • 2023
  • In this study, we investigate the changes and realities of the content production process focusing on Image generation AI revolutions such as Stable Diffusion, Midjourney, and DELL-E, and examine the current status of related department operations at universities and Find out the status of the current curriculum. Through this, we suggest the need to produce AI-adaptive content talent through re-establishing the capabilities of content-related departments in art universities and quickly introducing curriculum. This is because it can be input into the efficient AI content development system currently being applied in industrial fields, and it is necessary to cultivate talent who can perform managerial and technical roles using various AI systems in the future. In conclusion, we will prepare cornerstone research to establish the university's status as a source of talent that can lead the content industry beyond the AI content production era, and focus on convergence capabilities and experience with the goal of producing convergence talent to cultivate AI adaptive content talent, suggests the direction of curriculum application for value creation.

A Basic Study on the Development of Artificial Intelligence Education Content Based on Nuri Curriculum (누리교육과정 기반 인공지능교육 콘텐츠 개발에 관한 기초연구)

  • Pyun, Youngshin;Han, Jungsoo
    • Journal of Internet of Things and Convergence
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    • v.8 no.5
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    • pp.71-76
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    • 2022
  • The innovative development of the 4th industry and the COVID-19 pandemic caused a great change in the education, eventually requiring elementary, middle and high schools, including kindergartens, to implement artificial intelligence(AI) education. However, since early childhood AI education is conducted in the form of results-oriented and special activities, the need for research on what early childhood AI education is and how to apply it to the Nuri curriculum has been raised. Accordingly, this study defined early childhood AI education through literature research, identified the contents of AI education, and organized and operated it in the Nuri curriculum. As a results, AI education for children should be conducted for the purpose of cultivating digital capabilities based on computing thinking skills, and computers, the Internet, and programs were extracted as sub-elements of child AI education contents. Two approaches were proposed to incorporate this into the Nuri curriculum. The first is to set each of the three AI education contents as a life theme, select sub-factors accordingly, and plan and implement activities suitable for each sub-factors. The second is to develop and operate AI education contents at the level of sub-educational activities in accordance with the life theme of the existing Nuri curriculum. It is hoped that this study will consider the characteristics of early childhood education and be organized in the Nuri curriculum to realize the true meaning of early childhood AI education, and more research on AI play education programs according to the five areas of the Nuri curriculum.

A Research on the Development of Customized Curriculum (RAS) for Each Major for AI Education (AI 교육을 위한 전공별 맞춤형(RAS) 교육과정 개발연구)

  • Baik, Ran
    • Journal of Engineering Education Research
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    • v.25 no.5
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    • pp.44-54
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    • 2022
  • The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.

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.

Development of a Curriculum of Department of AI Operation based on Industrial Demands -Focusing on the Case of C University (산업체 수요를 반영한 AI 운영학과 교육과정 개발 -C 대학 사례를 중심으로)

  • Park, Jong jin
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.795-799
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    • 2022
  • In recent years, with the rapid development of artificial intelligence technology and an explosion of interest in it, education on artificial intelligence is spreading to various fields. As a result, many universities are establishing artificial intelligence-related departments or expanding their quota. In line with this trend, University C has newly established the AI operation department in line with the industrial base in the region. In this paper, a curriculum was developed for the newly established AI operation department, and this curriculum was designed and developed focusing on subjects reflecting the demands of industries based on AIOps (Artificial intelligence for IT Operations). To this end, a consultative body was formed with industry experts, and opinions were collected through a survey.