• Title/Summary/Keyword: Generative AI Literacy

Search Result 12, Processing Time 0.017 seconds

A Study on the Role of University Libraries in the Cultivation of Generative AI Literacy by Users (이용자의 생성형 AI 리터러시 함양을 위한 대학도서관의 역할 연구)

  • Su Hyun Jang;Young Joon Nam
    • Journal of the Korean Society for information Management
    • /
    • v.40 no.2
    • /
    • pp.263-282
    • /
    • 2023
  • The purpose of this study is to understand the current status of AI literacy education for users of Korean university libraries and the perception and justification of AI literacy education in university libraries in relation to AI literacy, which is emerging as a key capability in the changing intelligent information society. To this end, this study analyzed the change in the concept of AI literacy and the self-awareness of AI literacy, including generative AI by students who are university library users. As a result of the analysis, positive responses were mainly confirmed in the case of willingness to take AI literacy education and generative AI literacy education in university libraries, and this study suggests that AI literacy education in university essential curriculum is conducted in connection with essential basic education.

A Study on the Data Literacy Education in the Library of the Chat GPT, Generative AI Era (ChatGPT, 생성형 AI 시대 도서관의 데이터 리터러시 교육에 대한 연구)

  • Jeong-Mee Lee
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.57 no.3
    • /
    • pp.303-323
    • /
    • 2023
  • The purpose of this study is to introduce this language model in the era of generative AI such as ChatGPT, and to provide direction for data literacy education components in libraries using it. To this end, the following three research questions are proposed. First, the technical features of ChatGPT-like language models are examined, and then, it is argued that data literacy education is necessary for the proper and accurate use of information by users using a service platform based on generative AI technology. Finally, for library data literacy education in the ChatGPT era, it is proposed a data literacy education scheme including seven components such as data understanding, data generation, data collection, data verification, data management, data use and sharing, and data ethics. In conclusion, since generative AI technologies such as ChatGPT are expected to have a significant impact on users' information utilization, libraries should think about the advantages, disadvantages, and problems of these technologies first, and use them as a basis for further improving library information services.

Application based on Generative AI and Prompt Engineering to Improve Children's Literacy (생성형 AI와 프롬프트 엔지니어링 기반 아동 문해력 향상을 위한 애플리케이션)

  • Soyeon Kim;Hogeon Seo
    • Smart Media Journal
    • /
    • v.13 no.8
    • /
    • pp.26-38
    • /
    • 2024
  • This paper discusses the use of GPT and GPT API for prompt engineering in the development of the interactive smart device lock screen application "Smart Lock," aimed at enhancing literacy among young children and lower-grade elementary and middle school students during critical language development periods. In an era where media usage via smartphones is widespread among children, smartphone-based media is often cited as a primary cause of declining literacy. This study proposes an application that simulates conversations with parents as a tool for improving literacy, providing an environment conducive to literacy enhancement through smartphone use. Generative AI GPT was employed to create literacy-improving problems. Using pre-generated data, situational dialogues with parents were presented, and prompt engineering was utilized to generate questions for the application. The response quality was improved through parameter tuning and function calling processes. This study investigates the potential of literacy improvement education using generative AI through the development process of interactive applications.

Development and Validation of a Korean Generative AI Literacy Scale (한국형 생성 인공지능 리터러시 척도 개발 및 타당화)

  • Hwan-Ho Noh;Hyeonjeong Kim;Minjin Kim
    • Knowledge Management Research
    • /
    • v.25 no.3
    • /
    • pp.145-171
    • /
    • 2024
  • Literacy initially referred to the ability to read and understand written documents and processed information. With the advancement of digital technology, the scope of literacy expanded to include the access and use of digital information, evolving into the concept of digital literacy. The application and purpose of digital literacy vary across different fields, leading to the use of various terminologies. This study focuses on generative artificial intelligence (AI), which is gaining increasing importance in the AI era, to assess users' literacy levels. The research aimed to extend the concept of literacy proposed in previous studies and develop a tool suitable for Korean users. Through exploratory factor analysis, we identified that generative AI literacy consists of four factors: AI utilization ability, critical evaluation, ethical use, and creative application. Subsequently, confirmatory factor analysis validated the statistical appropriateness of the model structure composed of these four factors. Additionally, correlation analyses between the newly developed literacy tool and existing AI literacy scales and AI service evaluation tools revealed significant relationships, confirming the validity of the tool. Finally, the implications, limitations, and directions for future research are discussed.

An Analysis of Artificial Intelligence Education Research Trends Based on Topic Modeling

  • You-Jung Ko
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.2
    • /
    • pp.197-209
    • /
    • 2024
  • This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

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
    • /
    • v.29 no.4
    • /
    • pp.47-54
    • /
    • 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.

Prospects and Issues on the Expansion of AI Tech's Influence in Film Creation (AI 기술의 영상제작 분야 영향력 확대에 관한 전망과 쟁점)

  • Hanjin Lee;Minhee Kim;Juwon Yun
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.24 no.4
    • /
    • pp.107-112
    • /
    • 2024
  • One More Pumpkin won the grand prize at the 2023 Dubai International AI Film Festival, and new possibilities were also opened through the International AI and Metaverse Film Festival (GAMFF), which was held for the first time in Korea. Generative works began to stand out in earnest, with 527 diverse works from 42 countries at home and abroad using AI and metaverse technology submitted to this contest. AI is being used in a variety of fields, including the creation and implementation of digital characters through combination with VFX, improving the efficiency of video production, and managing the overall video production process. This contributes to saving human and material resources required for production and significantly improving the quality of produced videos. However, generative AI also has ambiguity in copyright attribution, ethical issues inherent in the learned dataset, and technical limitations that fall short of the level of human emotion and creativity. Accordingly, this study suggests implications at the level of production, screening, and use, as generative AI may have an impact in more areas in the future.

Empirical Research on the Interaction between Visual Art Creation and Artificial Intelligence Collaboration (시각예술 창작과 인공지능 협업의 상호작용에 관한 실증연구)

  • Hyeonjin Kim;Yeongjo Kim;Donghyeon Yun;Hanjin Lee
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.1
    • /
    • pp.517-524
    • /
    • 2024
  • Generative AI, exemplified by models like ChatGPT, has revolutionized human-machine interactions in the 21st century. As these advancements permeate various sectors, their intersection with the arts is both promising and challenging. Despite the arts' historical resistance to AI replacement, recent developments have sparked active research in AI's role in artistry. This study delves into the potential of AI in visual arts education, highlighting the necessity of swift adaptation amidst the Fourth Industrial Revolution. This research, conducted at a 4-year global higher education institution located in Gyeongbuk, involved 70 participants who took part in a creative convergence module course project. The study aimed to examine the influence of AI collaboration in visual arts, analyzing distinctions across majors, grades, and genders. The results indicate that creative activities with AI positively influence students' creativity and digital media literacy. Based on these findings, there is a need to further develop effective educational strategies and directions that incorporate AI.

Development of 1:1 customized Smartphone Education Application for the Elderly using Generative AI (생성형 AI를 활용한 1:1 맞춤형 노인 스마트폰 교육 어플리케이션 개발)

  • Min-Young Chu;Yeon-Woo Park;Seung-Hyeon Noh;Soo-Jin Heo;Won-Whoi Huh
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.24 no.4
    • /
    • pp.15-20
    • /
    • 2024
  • Local governments are conducting smartphone usage training for the elderly to bridge the information gap caused by a super-aged society. However, the one-to-many educational approach has limitations, and the elderly face difficulties due to insufficient learning effectiveness. This study proposes an educational service that can be used in offline training settings, considering an environment where the elderly can repeatedly learn to address these issues. This service utilizes generative AI to identify the parts that users find challenging and provides personalized problems for individualized practice. Integrating this app with existing local government training programs is expected to significantly enhance the efficiency of smartphone education in terms of personalized 1:1 training, time management, and the appropriateness of educational content.

The Influence of ChatGPT Literacy on Academic Engagement: Focusing on the Serial Mediation Effect of Academic Confidence and Perceived Academic Competence (챗GPT 리터러시가 학업열의에 미치는 영향: 학업자신감과 지각된 학업역량의 이중매개효과를 중심으로)

  • Eunsung Lee;Longzhe Quan
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.2
    • /
    • pp.565-574
    • /
    • 2024
  • ChatGPT is causing significant reverberations across all sectors of our society, and this holds true for the field of education as well. However, scholarly and societal discussions regarding ChatGPT in academic settings have primarily focused on issues such as plagiarism, with relatively limited research on the positive effects of utilizing generative AI. Additionally, amidst the educational crisis of the post-COVID era, there is a growing recognition of the need to enhance academic engagement. In light of these concerns, we investigated how academic engagement varies based on students' levels of ChatGPT literacy and examined whether students' academic confidence and perceived academic competence serve as mediators between ChatGPT literacy and academic engagement. An analysis using SPSS was conducted on the data collected from 406 college students. The results showed that ChatGPT literacy had a positive effect on academic engagement, and academic confidence mediated the relationship between ChatGPT literacy and academic engagement. Also, when the mediating effect of perceived academic competence was significant only when it was serially mediated. Based on these findings, we discussed the theoretical contributions of identifying the theoretical mechanism between ChatGPT literacy and academic engagement. In addition, practical implications regarding the importance of ChatGPT literacy education were described.