• Title/Summary/Keyword: AI education direction

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Blockchain Based Data-Preserving AI Learning Environment Model for Cyber Security System (AI 사이버보안 체계를 위한 블록체인 기반의 Data-Preserving AI 학습환경 모델)

  • Kim, Inkyung;Park, Namje
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.12
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    • pp.125-134
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    • 2019
  • As the limitations of the passive recognition domain, which is not guaranteed transparency of the operation process, AI technology has a vulnerability that depends on the data. Human error is inherent because raw data for artificial intelligence learning must be processed and inspected manually to secure data quality for the advancement of AI learning. In this study, we examine the necessity of learning data management before machine learning by analyzing inaccurate cases of AI learning data and cyber security attack method through the approach from cyber security perspective. In order to verify the learning data integrity, this paper presents the direction of data-preserving artificial intelligence system, a blockchain-based learning data environment model. The proposed method is expected to prevent the threats such as cyber attack and data corruption in providing and using data in the open network for data processing and raw data collection.

A Study on Artificial Intelligence Ethics Perceptions of University Students by Text Mining (텍스트 마이닝으로 살펴본 대학생들의 인공지능 윤리 인식 연구)

  • Yoo, Sujin;Jang, YunJae
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.947-960
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    • 2021
  • In this study, we examine the AI ethics perception of university students to explore the direction of AI ethics education. For this, 83 students wrote their thoughts about 5 discussion topics on online bulletin board. We analyzed it using language networks, one of the text mining techniques. As a result, 62.5% of students spoke the future of the AI society positively. Second, if there is a self-driving car accident, 39.2% of students thought it is the vehicle owner's responsibility at the current level of autonomous driving. Third, invasion of privacy, abuse of technology, and unbalanced information acquisition were cited as dysfunctions of the development of AI. It was mentioned that ethical education for both AI users and developers is required as a way to minimize malfunctions, and institutional preparations should be carried out in parallel. Fourth, only 19.2% of students showed a positive opinion about a society where face recognition technology is universal. Finally, there was a common opinion that when collecting data including personal information, only the part with the consent should be used. Regarding the use of AI without moral standards, they emphasized the ethical literacy of both users and developers. This study is meaningful in that it provides information necessary to design the contents of artificial intelligence ethics education in liberal arts education.

A study on community care using AI technology (AI 기술을 활용한 커뮤니티케어에 관한 연구)

  • Seungae Kang
    • Convergence Security Journal
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    • v.23 no.5
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    • pp.151-156
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    • 2023
  • Currently, ICT is widely used in caring for the elderly living alone and preventing the disappearance of the elderly with dementia. Therefore, in this study, based on the government policy direction for the 4th industrial revolution, the use of AI technology-based care services, which are gradually increasing in community care, was sought to explore the current status and prospects for utilization and activation.AI speakers and caring robots, services that can be used for community care, help solve various problems experienced by the elderly, and are also used to relieve lack of conversation or loneliness by adding emotional functions. In order to activate community care using AI technology in the future: First, there is a need for continuous education to familiarize the elderly with AI devices and 'user experience (UX) design' for the elderly. Second, it is necessary to use human-centered technology that has a complementary relationship and enables emotional mutual relationships rather than using function-oriented technology. Third, it is necessary to solve ethical problems such as guaranteeing the user's right to self-determination and protecting privacy.

Exploring Digital-Based Educational Innovation Method (디지털 기반 교육혁신 방안 탐색)

  • Yoon, Ok Han
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.6
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    • pp.321-328
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    • 2024
  • Due to the recent development of artificial intelligence technology, the field of education also needs fundamental changes, such as digital competency and digital media literacy education. However, it is still a situation where one teacher has no choice but to teach diverse students in one classroom. To solve these problems, the Ministry of Education announced a 'digital-based education innovation plan' focusing on the introduction of 'AI digital textbooks'. The purpose of this study is to examine the current status of the government's digital-based education innovation and suggest specific measures for digital-based education innovation. First, one of the key points of the 2022 revised curriculum is the establishment of a teaching, learning, and evaluation system suitable for the digital and AI educational environment. Second, the contents of the 2023 Ministry of Education's digital-based education innovation plan are as follows. The direction of implementation is the realization of the vision of customized education for all, gradual voluntary expansion through digital leading schools and leading teachers, and establishment of cooperative partnerships with various entities within the government and the private sector. The detailed implementation plan for digital-based education innovation is as follows. First, improving digital infrastructure. Second, digital conversion teacher education and capacity building. Third, providing a digital, personalized learning experience. Fourth, developing digital content and platforms. Fifth, ensuring digital safety and personal information protection. Sixth, overcoming digital social inequality.

A Study on the Advancement of the Government's Digital Employment Service (정부의 디지털 고용서비스 고도화에 관한 연구)

  • Woo Young Lee;Jae Kap Lee;Yeongdon Na
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.233-241
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    • 2023
  • This study analyzes the construction status of digital employment services in Korea and presents the direction of continuous advancement and development of digital employment services based on overseas cases and the latest digital technology development trends. Find out the specific digitalization promotion strategies and current status of major countries such as Belgium, Australia, the United Kingdom, Germany, France, and the United States. In addition, in order to present a plan for the development of digital employment services in Korea, we will propose a plan to expand digital employment services to online employment centers through individual and customized employment services, data openness, and expansion of public-private collaboration through digital employment services using AI and big data.

Digital Human Empathy Index (DHEI) for the Era of Human-AI Symbiosis (AI와 인간 공생의 시대를 위한 디지털휴먼공감지표 개발)

  • Rhee, Hyunjung
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.1-16
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    • 2022
  • The current AI technology has been developing rapidly enough to realize or even exceed the level of abilities that only humans had in the past. In the near future, it is predicted that humans and AI will influence each other as members of the metaverse society. Therefore, this study emphasizes the importance of empathy as a core competency for humans to pursue happiness while maintaining the dignity of humans in the era when AI and humans will coexist in the metaverse. In this study, 'Digital Human Empathy Index (DHEI)' is developed that reflects the social nature of computer-mediated communication in the metaverse As a result, DHEI consisted of a total of 7 factors, which are Perspective Taking, Self/Other Awareness, Contextual Understanding of Systemic Barriers, Impact Assessment, Solidarity, Being Peaceful, and Anthropomorphism. This study is expected to contribute to setting the direction of future education by suggesting a new measure of empathy.

A study on AI Education in Graduate School through IPA (대학원 인공지능교육의 방향 탐색: IPA를 활용하여)

  • Yoo, Jungah
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.675-687
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    • 2019
  • As interest in artificial intelligence increases, each university has been establishing a special graduate school with artificial intelligence major, and recently, the Korea government has established various support policies for artificial intelligence education. However, each university has a lot of difficulties because it has little experience in operating graduate education with the latest field of artificial intelligence and it is not easy to find experts. In this study, the response of graduate school students majoring in artificial intelligence was analyzed using IPA technique, and the direction of education of graduate school artificial intelligence major was searched. Among the 40 items surveyed by IPA, 12 items such as systematization of artificial intelligence curriculum, progress of class considering learning level, improvement of academic relations with guidance professors were extracted as items to be improved first. On the other hand, 8 items such as assistant capacity, and relationship with colleagues were overloaded, and twelve items such as instructor's lecture competency, appropriateness of educational contents, learner's artificial intelligence skills and knowledge, and attitude acquisition were to be maintained. In addition, eight items such as convergence education curriculum and diversity of education methods were all low in importance and performance. It is suggested that AI graduate school should be divided into two tracks(technical specialization, convergence expansion) by educational goal, and each track should be conducted by level-specific educational contents and methods suitable for student level. The curriculum should be elaborate and systematic to acquire AI knowledge, skills, and attitudes, and should have an individualized guidance system centered on excellent faculty members.

Analysis of e-Learning Style Based on Learner Characteristics

  • In-Suk RYU;Jin-Gon SHON
    • Fourth Industrial Review
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    • v.4 no.2
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    • pp.1-9
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    • 2024
  • Purpose: While most studies focus on learning styles in face-to-face education, research on online learning environments, especially by age in lifelong education, is limited. This study aims to propose a direction for online learning by analyzing digital literacy and e-Learning learning styles by age in lifelong education. Research design, data and methodology: The study surveyed 100 online learners from an open university in Seoul. Using an e-Learning learning styles test, frequency analysis was conducted by gender, age, and digital literacy. A learning plan was then proposed based on the results. Results: The study found no age-related differences in digital literacy. Both men and women shared similar ratios of Environment-dependent and self-directed learning styles, reflecting the characteristics of online learners using digital devices. Conclusions: In lifelong education, e-Learning design should accommodate diverse learning styles: web/app designs for Environment-independent and self-directed learners, short/long formats for Passive learners, real-time (LMS)/non-real-time (ZOOM) systems for Positive and cooperative learners, and AI/human tutors for Environment-dependent and self-directed learners.

Construction Status and Proposal for Information Communication Facility of Childcare Center -After COVID19, focusing on IT Technology Utilization- (어린이집 정보통신설비 구축현황 및 제안 -COVID19 이후 IT기술활용 중심으로-)

  • Lee, Jae-Yong;Shin, Seung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.4
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    • pp.43-50
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    • 2020
  • The purpose of this study is to examine the case of constructing information and communication facilities in daycare centers and to propose an educational environment that can foster young talents who can lead the era of the fourth industrial revolution. In particular, after COVID19, a method was proposed to create an information and communication environment suitable for children to receive personalized education, and to create an environment for experiential education if possible, and at the same time to enable averaging of customized learning. Since there has been no research on information and communication facilities in daycare centers, we intend to place significance on starting, and in the future, to foster creative and contextual children, we will reduce the movement of teachers through smart speakers and mobile devices, and tailor the educational environment through AI data. I think that the design of the daycare center should be changed in the direction of making the product. To this end, the CM role of information and communication supervision is needed, and it is hoped that it will become a design standard for daycare centers after COVID19 by developing research on daycare centers.

Implications for the Direction of Christian Education in the Age of Artificial Intelligence (인공지능 시대의 기독교교육 방향성에 대한 고찰)

  • Sunwoo Nam
    • Journal of Christian Education in Korea
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    • v.74
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    • pp.107-134
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    • 2023
  • The purpose of this study is to provide a foundation for establishing the correct direction of education that utilizes artificial intelligence, a key technology of the Fourth Industrial Revolution, in the context of Christian education. To achieve this, theoretical and literature research was conducted. First, the research analyzed the historical development of artificial intelligence to understand its characteristics. Second, the research analyzed the use of artificial intelligence in convergence education from an educational perspective and examined the current policy direction in South Korea. Through this analysis, the research examined the direction of Christian education in the era of artificial intelligence. In particular, the research critically examined the perspectives of continuity and change in the context of Christian education in the era of artificial intelligence. The research reflected upon the fundamental educational purposes of Christian education that should remain unchanged despite the changing times. Furthermore, the research deliberated on the educational curriculum and teaching methods that should adapt to the changing dynamics of the era. In conclusion, this research emphasizes that even in the era of artificial intelligence, the fundamental objectives of Christian education should not be compromised. The utilization of artificial intelligence in education should serve as a tool that fulfills the mission permitted by God. Therefore, Christian education should remain centered around God, rooted in the principles of the Bible. Moreover, Christian education should aim to foster creative and convergent Christian nurturing. To achieve this, it is crucial to provide learners with an educational environment that actively utilizes AI-based hybrid learning environments and metaverse educational platforms, combining online and offline learning spaces. Moreover, to enhance learners' engagement and effectiveness in education, it is essential to actively utilize AI-based edutech that reflects the aforementioned educational environments. Lastly, in order to cultivate Christian learners with dynamic knowledge, it is crucial to employ a variety of teaching and learning methods grounded in constructivist theories, which emphasize active learner participation, collaboration, inquiry, and reflection. These approaches seek to align knowledge with life experiences, promoting a holistic convergence of faith and learning.