• Title/Summary/Keyword: AI convergence education

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A Case Study of University Convergence Classes on Learners' Creative Ideas : Focusing on the development journal of the indie game of 'Woody' (대학의 융복합 수업이 학습자의 창의적 발상에 미친 사례 연구 : '우디'의 인디게임 개발 일지를 중심으로)

  • Kim, Seong-Hee;Lee, Kyeong-Wook
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.1
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    • pp.153-160
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    • 2021
  • In recent universities, the new-normal era. There is a growing interest in nurturing creative thinking learners who have converged thinking necessary for the AI era based on big data. This study intends to propose the expansion of science liberal arts education necessary to meet the education needs of these universities. To this end, first the status of convergence education in universities and the elements necessary for the learners' creative ideas were examined. Second, learners who took a convergence lecture at a university will look at the development case of in which convergence thinking, creative thinking, and gaming are implemented. Based on this, we would like to propose an expanded organization and operation of science liberal arts education as a way to enhance the creative thinking of learners and their competencies through convergence classes at universities.

Analysis of Perceptions and Differences between Groups regarding Generative AI (생성형 AI에 관한 인식 및 집단간 차이 분석)

  • Kyoo-Sung Noh
    • Journal of Digital Convergence
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    • v.22 no.1
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    • pp.15-21
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    • 2024
  • The purpose of this study is to analyze the use of generative AI and the perception of differences between user groups. This study explored the perceptions of different user groups regarding generative AI, aiming to derive implications for enhancing AI utilization capabilities for each group. Upon analysis, it was found that there were no significant differences in perceptions across age groups. However, notable differences were observed between professional backgrounds, particularly in the areas of generative AI application and ethical perspectives. Consequently, this study suggests the need for diversified AI solutions tailored to specific fields of expertise. It underscores the importance of customized education and training programs, as well as specialized education focused on ethical considerations. Additionally, this research contributes academically by proposing varied AI usage strategies for different age and professional groups. It also highlights the role of text mining techniques in developing and improving AI utilization skills.

A Study on Contents Development for the Use of Generative AI in Elementary and Secondary Classes

  • Injoo Kim;Kwihoon Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.8
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    • pp.223-230
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    • 2024
  • The purposes of this study is to find out how to use Generative AI by class stage and class model so that classes can be planned using various Generative AI in elementary and secondary education. To this end, contents of using Generative AI according to general instructional stages and instructional models by school level and subject were developed, and revised and supplemented through review by 13 field experts. As for the method of using Generative AI by class stage, general class stages were divided into three stages: 'class preparation', 'in class', and 'class arrangement', and the subject of using Generative AI at each stage, the contents of using it, and the types of Generative AI that can be used are summarized. As a method of using Generative AI according to the class model, eight class contents were developed based on teaching and learning models according to the characteristics of each school level and subject. In order to expand the use of Generative AI in elementary and secondary classes, it is necessary to develop more diverse class contents by school level and subject and distribute them in the field. It is also necessary to develop educational materials on matters to consider when using Generative AI in class.

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.

A Study on the PBL-based AI Education for Computational Thinking (컴퓨팅 사고력 향상을 위한 문제 중심학습 기반 인공지능 교육 방안)

  • Choi, Min-Seong;Choi, Bong-Jun
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.3
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    • pp.110-115
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    • 2021
  • With the era of the 4th Industrial Revolution, education on artificial intelligence is one of the important topics. However, since existing education is aimed at knowledge, it is not suitable for developing the active problem-solving ability and AI utilization ability required by artificial intelligence education. To solve this problem, we proposes PBL-based education method in which learners learn in the process of solving the presented problem. The problem presented to the learner is a completed project. This project consists of three types: a classification model, the training data of the classification model, and the block code to be executed according to the classified result. The project works, but each component is designed to perform a low level of operation. In order to solve this problem, the learners can expect to improve their computational thinking skills by finding problems in the project through testing, finding solutions through discussion, and improving to a higher level of operation.

Research on Utilization of AI in the Media Industry: Focusing on Social Consensus of Pros and Cons in the Journalism Sector (미디어 산업 AI 활용성에 관한 고찰 : 저널리즘 분야 적용의 주요 쟁점을 중심으로)

  • Jeonghyeon Han;Hajin Yoo;Minjun Kang;Hanjin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.713-722
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    • 2024
  • This study highlights the impact of Artificial Intelligence (AI) technology on journalism, discussing its utility and addressing major ethical concerns. Broadcasting companies and media institutions, such as the Bloomberg, Guardian, WSJ, WP, NYT, globally are utilizing AI for innovation in news production, data analysis, and content generation. Accordingly, the ecosystem of AI journalism will be analyzed in terms of scale, economic feasibility, diversity, and value enhancement of major media AI service types. Through the previous literature review, this study identifies key ethical and social issues in AI journalism as well. It aims to bridge societal and technological concerns by exploring mutual development directions for AI technology and the media industry. Additionally, it advocates for the necessity of integrated guidelines and advanced AI literacy through social consensus in addressing these issues.

The Analysis of Elementary School Teachers' Perception of Using Artificial Intelligence in Education (인공지능 활용 교육에 대한 초등교사 인식 분석)

  • Han, Hyeong-Jong;Kim, Keun-Jae;Kwon, Hye-Seong
    • Journal of Digital Convergence
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    • v.18 no.7
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    • pp.47-56
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    • 2020
  • The purpose of this study is to comprehensively analyze elementary school teachers' perceptions of the use of artificial intelligence in education. Recently, interest in the use of artificial intelligence has increased in the field of education. However, there is a lack of research on the perceptions of elementary school teachers using AI in education. Using descriptive statistics, multiple linear regression analysis, and semantic differential meaning scale, 69 elementary school teachers' perceptions of using AI in education were analyzed. As a results, artificial intelligence technology was perceived as most suitable method for assisting activities in class and for problem-based learning. Factors which influence the use of AI in education were learning contents, learning materials, and AI tools. AI in education had the features of personalized learning, promoting students' participation, and provoking students' interest. Further, instructional strategies or models that enable optimized educational operation should be developed.

A Design of AI Cloud Platform for Safety Management on High-risk Environment (고위험 현장의 안전관리를 위한 AI 클라우드 플랫폼 설계)

  • Ki-Bong, Kim
    • Journal of Advanced Technology Convergence
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    • v.1 no.2
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    • pp.01-09
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    • 2022
  • Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.

Audio Generative AI Usage Pattern Analysis by the Exploratory Study on the Participatory Assessment Process

  • Hanjin Lee;Yeeun Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.4
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    • pp.47-54
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    • 2024
  • The importance of cultural arts education utilizing digital tools is increasing in terms of enhancing tech literacy, self-expression, and developing convergent capabilities. The creation process and evaluation of innovative multi-modal AI, provides expanded creative audio-visual experiences in users. In particular, the process of creating music with AI provides innovative experiences in all areas, from musical ideas to improving lyrics, editing and variations. In this study, we attempted to empirically analyze the process of performing tasks using an Audio and Music Generative AI platform and discussing with fellow learners. As a result, 12 services and 10 types of evaluation criteria were collected through voluntary participation, and divided into usage patterns and purposes. The academic, technological, and policy implications were presented for AI-powered liberal arts education with learners' perspectives.

A study on Digital Literacy for University Liberal Education in the AI Era (AI 시대 대학 교양교육에 필요한 디지털 리터러시 연구)

  • Hye-Jin Baek;Cheol-Seung Lee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.3
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    • pp.539-544
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    • 2024
  • This paper examines the necessity and direction of digital literacy education as university education in the AI era. Digital literacy can be considered universal education about everyday culture in a digital environment, and its scope is expanding to cultivate the competencies necessary for citizens of a digital society, rather than simply the ability to use digital devices. In this paper, the university liberal arts curriculum has strengthened the information literacy area to reflect the changes of the times, but it is presented as a problem that it is still focused on the technical aspects of learning how to use digital devices and specific programs. It was suggested that the direction of digital literacy education in universities should not be limited to the technical and instrumental aspects of using digital devices, but that it would be desirable to focus on digital ethics considering the social impacts that may arise from the use of digital devices.