• Title/Summary/Keyword: AI.디지털 교육

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An Analysis of ICT Accessibility and Subjects Utilization of Korean Students Based on PISA 2018 Data (PISA 2018년 데이터를 기반으로 한국 학생들의 ICT 접근성과 교과 활용도 분석)

  • Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.24 no.1
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    • pp.39-48
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    • 2020
  • This study analyzes PISA's ICT background survey on OECD countries published in December 2019 to analyze ICT accessibility and utilization of each subject. In Korea, ICT accessibility at home is 40.40%, ranking 17th, slightly higher than the OECD average (43.01%). Access to schools is 40.40%, ranking 21st below the OECD average(43.01%), which has improved from the lowest group to three in the middle three years ago. In nine subjects, the proportion of students using digital device in the classroom is 2.96%, well below the OECD average(8.22%), and ranked 31st in the OECD country. This shows that the state needs a change in education policy in order to cultivate the talent needed for the AI era.

Research on the Design and Use of Digital Badges to Increase Educational Value (교육적 가치를 높이는 디지털배지 설계와 활용 연구)

  • Youn A Min;Ji-Eun Lee
    • Journal of Information Technology Services
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    • v.22 no.6
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    • pp.71-86
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    • 2023
  • The rapid change in industry and the technological gap give rise to social demand for upskilling and reskilling and spread of alternative education. Against this backdrop, digital certification and career management tools can be used to manage various types of learning activities comprehensively. Digital badges provide various kinds of history information related to individual learning, and the reliability and transparency of the issued information can be strengthened by applying blockchain technology. There have been various discussions about digital badges for a long time, but due to the lack of standards to support the issuance and distribution of digital badges, they have been partially used in some areas. However, interest in digital badges is increasing due to the development of related technologies, establishment of standards, paradigm changes in higher education, and government policies related to nurturing digital talent. This paper deals with the use of digital badges for efficient and transparent learning management and career management in an online learning environment. The researcher analyzes the technical characteristics and use cases of digital badges, and proposes a plan for use in online higher education based on them.

Empirical Analysis of Young Startup Project Digital Papers to Strengthen Entrepreneurship: Focusing on Readiness and Collaboration by Generation Z (기업가정신 강화를 위한 디지털 청년창업일지 실증분석: Z세대의 스타트업 준비와 협업을 중심으로)

  • Yeryung Moon;Geonuk Nam;Hanjin Lee
    • Journal of Information Technology Services
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    • v.23 no.3
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    • pp.91-101
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    • 2024
  • Based on the analysis of 174 Young Startups Project Papers from university students majoring in entrepreneurship, this study aimed to identify the thoughts and characteristics of prospective entrepreneurs and derive their main agendas. Detailed information was collected on their preparation and ambitions for entrepreneurship, market research in their fields of interest, analysis of potential target users, requirements, and team management. We refined, categorized, and interpreted 84,818 words across 396 digital pages on LMS, and visualized using word clouds program. Additionally, interviews about peer learning were conducted by Zoom. The analysis revealed unique differences in students' perspectives on entrepreneurship based on their major, academic year, and gender. Also we could find that they actively utilize AI tech with a strong spirit of challenge in the startups. Interestingly, they emphasized horizontal communication and collaboration capabilities to improve productivity. This suggests the need to consider diversity in the design of entrepreneurship incubating content and programs for generation Z technically and academically.

An Exploratory Study on User Experience of Augmented Reality Advertising (증강현실 광고의 사용자경험에 대한 탐색적 연구)

  • Sung, Jungyeon;Jo, Jae-wook
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.177-183
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    • 2016
  • Augmented Reality(AR) has been further developed through connectivity with Artificial Intelligence (AI), Big Data, the Internet of Things(IoT). The interest of AR in the advertising is on the increase. However, it needs to explore the use of AR technology in advertising based on user experience rather than the technical aspects. This study is very significant in that it is the exploratory study which provides guidelines in the field of utilizing AR, particularly based on direct user experience. In addition, through a quantitative survey, it checks the validity of the present study to verify the impact of utilitarian, experiential value of AR ad on brand attitude as consumer attitude. The characteristics of AR ad based on user experience through this study will provide guidance to utilize AR ad, utilizing AR technology in various fields, such as education and exhibitions in developing convergence contents that can provide practical value.

Analysis of Faculty Perceptions and Needs for the Implementation of AI based Adaptive Learning in Higher Education (대학 교육에서 인공지능 기반 적응형 학습 구현을 위한 교수자 인식 및 요구분석)

  • Shin, Jong-Ho;Shon, Jung-Eun
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.39-48
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    • 2021
  • This study aimed to analyze the level of professors' understanding and perception of adaptive learning and proposed how college can implement successful adaptive learning in college classes. For research purposes, online survey was conducted by 162 professors of A university in capital region. As a result, professors seemed to feel pressure to provide students personalized feedback and gave concerned that students don't study enough in advance before participating in class. It was also found that professors realized that they have low level of understanding about adaptive learning, while they revealed intention to make use of adaptive learning in their class. They also answered that adaptive learning system is the most helpful support for encouraging professors to apply adaptive learning in real class. We proposed what is required to encourage professor to implement adaptive learning in their class.

The influence of users' satisfaction with AWE on English learning achievement through self-efficacy: using PLS-SEM (영어 자동쓰기평가(AWE) 사용만족도가 자기효능감을 매개로 학업성취감에 미치는 영향: PLS-SEM 모델 분석)

  • Joo, Meeran
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.1-8
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    • 2021
  • The purpose of this study is to identify the influence of users' satisfaction with the Automatic Writing Evaluation(AWE) on learners' sense of learning achievement through self efficacy in English writing class. AWE is a tool that automatically provides feedback on writing outputs by AI technology. College students were asked to write essays for each topic and use AWE to get feedback on their drafts, and finally revise them referring to the feedback. A questionnaire survey was conducted for the data collection. The data was analyzed using SPSS, and smart PLS-SEM along with bootstrapping techniques, The results of the study reveal the followings: 1) the convenience and usefulness of AWE had a positive effect on the willingness to reuse it; 2) the satisfaction with AWE had a positive effect on self-efficacy; 3) self-efficacy had a positive effect on learning achievement in terms of emotional and linguistic aspects. With the development of the 4th industry and A.I. technology, it is recommended to introduce new materials or programs such as AWE in English education.

A study on non-face-to-face art appreciation system using emotion key (감정 키를 활용한 비대면 미술감상 시스템 연구)

  • Kim, Hyeong-Gyun
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.57-62
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    • 2022
  • This study was conducted with the purpose of listening to the explanations of artworks in the non-face-to-face class and confirming the learner's feelings as a result of the class. The proposed system listens to the explanation of the artwork, inputs the learner's emotions with a dedicated key, and expresses the result in music. To this end, the direction of the non-face-to-face art appreciation class model using the emotion key was set, and based on this, a system for non-face-to-face art appreciation was constructed. The learner will use the 'smart device using the emotion key' proposed in this study to listen to the explanation of the artwork and to input the emotion for the question presented. Through the proposed system, learners can express their emotional state in online art classes, and instructors receive the results of class participation and use them in various ways for educational analysis.

The Effects of Chatbot on Grammar Competence for Korean EFL College Students (한국 대학생 영어학습자들의 문법 습득에 있어 챗봇의 효과)

  • Ahn, Soojin
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.53-61
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    • 2022
  • The purpose of this study was to test whether or not the AI chatbot is effective in acquiring target grammar for Korean EFL college students: prepositions and articles. A quasi-experiment was conducted with 46 first-year students taking part in a required English course. They were randomly divided into two groups: the experimental and control groups (23 students for each, respectively). The experimental group was engaged in six chat sessions with a chatbot over 6 weeks. A pretest and a posttest were used to examine the effectiveness of the chatbot by comparing any changes made in error frequencies of the target grammar in participants' English compositions. The results show that after a conversation with the chatbot, the experimental group significantly reduced the mean of omission errors in both prepositions and articles. To have a great effect in other error categories, chatbot feedback needs to be improved to reduce short responses or inaccurate utterances of students and induce them to actively participate in the conversation.

The Christianity Education for the Fourth Industrial Revolution Era (제4차 산업혁명 시대를 위한 기독교 교육)

  • Bong, Won Young
    • The Journal of the Korea Contents Association
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    • v.20 no.3
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    • pp.645-660
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    • 2020
  • This study attempts to look at the role that modern Christianity should play on an educational level in order to effectively prepare for the future society in the era of the fourth industrial revolution. In the coming era, various areas of human life, including human labor, are expected to be replaced by AI robots. As new alternatives, the ability to empathize effectively and educate creatively to help develop personality qualities are proposed in a rapidly changing world of uncertainty. Modern Christianity, however, has the responsibility to help solve the problems facing this era in the public as a member of the community beyond the boundaries of the church. The purpose of this study is to examine what education the modern Christianity can present to the world as a public discourse and how that should be done. This study suggests the following points on the proper education for which Christianity will participate in the era of the fourth industrial revolution. First, it is necessary to emphasize a sense of belonging through a sense of community. Second, serious considerations and preparations for education that develops creativity are needed. Third, it is necessary to establish an educational direction that encompasses the entire generation. Fourth, practical education through digital utilization should be implemented in the local community. Finally, Christianity in the era of the fourth Industrial Revolution needs to be more integrated. As the Christian community recognizes that the agenda of the community is its task, it will be able to create a co-existing and symbiotic society.

Guidelines for big data projects in artificial intelligence mathematics education (인공지능 수학 교육을 위한 빅데이터 프로젝트 과제 가이드라인)

  • Lee, Junghwa;Han, Chaereen;Lim, Woong
    • The Mathematical Education
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    • v.62 no.2
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    • pp.289-302
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    • 2023
  • In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.