• Title/Summary/Keyword: AI & Digital Education

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Performance Analysis of Korean Digital Key Practical Talent Training Program (한국형 디지털 핵심 실무인재양성훈련 프로그램의 성과 분석)

  • Young-bok Cho
    • Journal of Practical Engineering Education
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    • v.14 no.3
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    • pp.573-577
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    • 2022
  • In this paper, the operation of the Korean digital key talent training project (K-Digital Training) supported by the Ministry of Labor in 2022 began in 2021, and through public offering in the second half of 2022, 403 training courses are held to secure 33,000 annual training personnel. Accordingly, because of performance analysis on learning satisfaction in each field of the state-led talent development program to respond quickly to future industrial changes by fostering digital talent, the overall satisfaction with the program was very high at 4.27 on average. However, the initial expectation for employment linkage is decreasing from 4.2 to 3.91 at the end of learning. Therefore, it is expected that the satisfaction level of the program can be continuously improved only when the organizations participating in the program are prepared in advance for employment linkage

Integrating AI Generative Art and Gamification in an Art Education Model to Enhance Creative Thinking (AI 생성예술과 게임화 요소가 통합된 미술 교육 모델 개발 : 창의적 사고 향상)

  • Li Jun;Kim Yoojin
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.425-433
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    • 2023
  • In this study, we developed a virtual artist play lesson model using gamification concepts and AI-generated art programs to foster creative thinking in freshman art majors. Targeting first-year students in the Digital Media Art Department at Sichuan Film & Television University in China, this course aims to alleviate fear of artistic creation and enhance problem-solving abilities. The educational model consists of four stages: persona creation, creative writing, text visualization, and virtual exhibitions. Through persona creation, students established their artist identities, and by introducing game-like elements into writing experiences, they discovered their latent creativity. Using AI-generated art programs for text visualization, students gained confidence in their creations, and in the virtual exhibitions, they were able to enhance their self-esteem as artists by appreciating and evaluating each other's works. This educational model offers a new approach to promoting creative thinking and problem-solving skills while increasing learner engagement and interest. Based on these research findings, we expect that by developing and implementing educational strategies that cultivate creative thinking, more students will grow their artistic capacities and creativity, benefiting not only art majors but also students from various fields.

Case Study on the Digital Marketing Strategy of AI-Based K-Food: Focusing on the Setting of SEO and Persona to enter the North American Market with Vegan Food (AI기반 K-Food의 디지털 마케팅 전략 사례연구: 비건푸드의 북미시장 진출을 위한 SEO와 페르소나 설정을 중심으로)

  • Chae-Ah Lee;Jeana Lee;Da-Jeen Ahn;Han-Jin Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.5
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    • pp.169-176
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    • 2024
  • The global rise in popularity of Korean culture presents a opportunity to promote K-Food. This study explores the digital marketing strategy for a CES award-winning K-Food brand, aiming to translate this cultural interest into tangible consumer experiences. First, we searched for influential media(Bloomberg and VegNews) related to vegan food, based on Google in 2024, then analyzed 452 posts using API. Through this, we extracted high-engagement keywords related to "vegan," such as organic, sustainable, plant-based, diet, and keto. As a result of analyzing detailed region for targeting, we suggested that effectiveness could be maximized by focusing on cities on the west coast of the US. Through this research, we develop target consumer personas and propose effective marketing strategies.

Analysis of the Effects of Reading Education Using S-PUMA Teaching Method on Elementary Students' Literary Imagination and Computational Thinking (S-PUMA 교수법을 활용한 글 읽기 교육이 초등학생의 문학적 상상력과 컴퓨팅사고력에 미치는 영향 분석)

  • Eol Sohn;Youngsik Jeong
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.567-577
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    • 2022
  • Interest in AI and SW education is growing as digital literacy is emphasized in the revised elementary school curriculum for 2022. There are numerous restrictions on how pupils can enhance their digital literacy because there are only 34 class hours available for information education in elementary schools. Therefore, other subjects and information education must be blended in order to ensure class hours for AI and SW instruction. In this study, we investigated the impact of S-PUMA reading instruction on the literary imagination and computational thinking of elementary school pupils. To conduct this study, two classes of sixth graders in an elementary school were chosen and split into an experimental group and a control group. Over the course of five sessions, only the experimental group received reading instruction using the S-PUMA teaching approach. It was discovered that reading instruction with the S-PUMA teaching methodology enhanced literary imagination and computational thinking. Further study is required to identify whether the improvement in creative imagination, a component of literary imagination, is a result of the S-PUMA teaching approach or a natural result of the subject matter of the lesson.

A Study on A Study on the University Education Plan Using ChatGPTfor University Students (ChatGPT를 활용한 대학 교육 방안 연구)

  • Hyun-ju Kim;Jinyoung Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.71-79
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    • 2024
  • ChatGPT, an interactive artificial intelligence (AI) chatbot developed by Open AI in the U.S., gaining popularity with great repercussions around the world. Some academia are concerned that ChatGPT can be used by students for plagiarism, but ChatGPT is also widely used in a positive direction, such as being used to write marketing phrases or website phrases. There is also an opinion that ChatGPT could be a new future for "search," and some analysts say that the focus should be on fostering rather than excessive regulation. This study analyzed consciousness about ChatGPT for college students through a survey of their perception of ChatGPT. And, plagiarism inspection systems were prepared to establish an education support model using ChatGPT and ChatGPT. Based on this, a university education support model using ChatGPT was constructed. The education model using ChatGPT established an education model based on text, digital, and art, and then composed of detailed strategies necessary for the era of the 4th industrial revolution below it. In addition, it was configured to guide students to use ChatGPT within the permitted range by using the ChatGPT detection function provided by the plagiarism inspection system, after the instructor of the class determined the allowable range of content generated by ChatGPT according to the learning goal. By linking and utilizing ChatGPT and the plagiarism inspection system in this way, it is expected to prevent situations in which ChatGPT's excellent ability is abused in education.

Application of XAI Models to Determine Employment Factors in the Software Field : with focus on University and Vocational College Graduates (소프트웨어 분야 취업 결정 요인에 대한 XAI 모델 적용 연구 : 일반대학교와 전문대학 졸업자를 중심으로)

  • Kwon Joonhee;Kim Sungrim
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.20 no.1
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    • pp.31-45
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    • 2024
  • The purpose of this study is to explain employment factors in the software field. For it, the Graduates Occupational Mobility Survey by the Korea employment information service is used. This paper proposes employment models in the software field using machine learning. Then, it explains employment factors of the models using explainable artificial intelligence. The models focus on both university graduates and vocational college graduates. Our works explain and interpret both black box model and glass box model. The SHAP and EBM explanation are used to interpret black box model and glass box model, respectively. The results describes that positive employment impact factors are major, vocational education and training, employment preparation setting semester, and intern experience in the employment models. This study provides a job preparation guide to universitiy and vocational college students that want to work in software field.

Developing a Learning Model based on Computational Thinking (컴퓨팅 사고기반 융합 수업모델 개발)

  • Yu, Jeong-Su;Jang, Yong-Woo
    • Journal of Industrial Convergence
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    • v.20 no.2
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    • pp.29-36
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    • 2022
  • Computational thinking in the AI and Big Data era for digital society means a series of problem-solving methods that involve expressing problems and their solutions in ways that computers can execute. Computational thinking is an approach to solving problems, designing systems, and understanding human behavior by deriving basic concepts in computer science, and solving difficult problems and elusive puzzles for students. We recently studied 93 pre-service teachers who are currently a freshman at ◯◯ university. The results of the first semester class, the participants created a satisfactory algorithm of the video level. Also, the proposed model was found to contribute greatly to the understanding of the computational thinking of the students participating in the class.

Analysis of the Meaning of the 2022 Revised Curriculum (2022 개정 교육과정 의미 분석)

  • Han, Yoon Ok
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.59-69
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    • 2022
  • The purpose of this study is to suggest improvement directions by analyzing the meaning of the 2022 revised curriculum. Research methods include literature research, surveys, and interviews. The conclusion is as follows. First, The background of the promotion has been revised to cultivate the competencies necessary for the future society and to strengthen the learner-tailored education. Second, what characterizes the 2022 revised curriculum is that it is being created in collaboration with people as a future-oriented curriculum for the first time in history. Third, the implementation of the 2022 revised curriculum is being directed towards individuality and diversity, decentralization and autonomy, digitally based education, and public performance and accountability. Fourth, the principal contents are curriculum innovation in response to future changes, cultivating community values and capacity building for learners, strengthening education for elementary, middle, and high school students to develop digital and AI literacy, and strengthening the curriculum for all.

A Study on Development and Validation of Digital Literacy Measurement Tool (디지털 리터러시 측정도구의 개발 및 예측타당성 검증 연구)

  • Chung, Mi-hyun;Kim, Jaehyoun;Hwang, Ha-sung
    • Journal of Internet Computing and Services
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    • v.22 no.4
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    • pp.51-63
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    • 2021
  • Recently, virtual communication has become a standard tool due to the outbreak of COVID-19. Likewise online communication is emerging as an essential competency. In this study, we aimed to develop a comprehensive and systematic digital literacy measurement tool reflecting the changes and needs of society. Construct variables were drawn by characterizing existing digital literacy measurement tools. Thirty-four items corresponding to the concept of each variable were developed. The developed measurement tool was then evaluated in the form of surveys from university students belonging to the digital native generation, and the reliability and validity were performed through exploratory and confirmatory factor analysis. The digital literacy measurement tool contained five sub-factors and twenty-five questions. In addition, hierarchical regression analysis was performed to verify the predictive validity of digital literacy sub-factors. Based on these findings, the implication of future research is discussed.

A Study on the Technological Priorities of Manufacturing and Service Companies for Response to the 4th Industrial Revolution and Transformation into a Smart Company (4차 산업혁명 대응과 스마트 기업으로의 변화를 위한 제조 및 서비스 기업의 기술적용 우선순위에 대한 연구)

  • Park, Chan-Kwon;Seo, Yeong-Bok
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.83-101
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    • 2021
  • This study is to investigate, using AHP, what technologies should be applied first to Korean SMEs in order to respond to the 4th industrial revolution and change to a smart enterprise. To this end, technologies related to the 4th industrial revolution and smart factory are synthesized, and the classification criteria of Dae-Hoon Kim et al. (2019) are applied, but additional opinions of experts are collected and related technologies are converted to artificial intelligence (AI), Big Data, and Cloud Computing. As a base technology, mobile, Internet of Things (IoT), block chain as hyper-connected technology, unmanned transportation (autonomous driving), robot, 3D printing, drone as a convergence technology, smart manufacturing and logistics, smart healthcare, smart transportation and smart finance were classified as smart industrial technologies. As a result of confirming the priorities for technical use by AHP analysis and calculating the total weight, manufacturing companies have a high ranking in mobile, artificial intelligence (AI), big data, and robots, while service companies are in big data and robots, artificial intelligence (AI), and smart healthcare are ranked high, and in all companies, it is in the order of big data, artificial intelligence (AI), robot, and mobile. Through this study, it was clearly identified which technologies should be applied first in order to respond to the 4th industrial revolution and change to a smart company.