• Title/Summary/Keyword: AI Curriculum

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Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education (의료분야에서 인공지능 현황 및 의학교육의 방향)

  • Jung, Jin Sup
    • Korean Medical Education Review
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    • v.22 no.2
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    • pp.99-114
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    • 2020
  • The rapid development of artificial intelligence (AI), including deep learning, has led to the development of technologies that may assist in the diagnosis and treatment of diseases, prediction of disease risk and prognosis, health index monitoring, drug development, and healthcare management and administration. However, in order for AI technology to improve the quality of medical care, technical problems and the efficacy of algorithms should be evaluated in real clinical environments rather than the environment in which algorithms are developed. Further consideration should be given to whether these models can improve the quality of medical care and clinical outcomes of patients. In addition, the development of regulatory systems to secure the safety of AI medical technology, the ethical and legal issues related to the proliferation of AI technology, and the impacts on the relationship with patients also need to be addressed. Systematic training of healthcare personnel is needed to enable adaption to the rapid changes in the healthcare environment. An overall review and revision of undergraduate medical curriculum is required to enable extraction of significant information from rapidly expanding medical information, data science literacy, empathy/compassion for patients, and communication among various healthcare providers. Specialized postgraduate AI education programs for each medical specialty are needed to develop proper utilization of AI models in clinical practice.

A Study on the Effectiveness of AI-based Learner-led Assessment in Elementary Software Education (초등 소프트웨어 교육에서 AI기반의 학습자 주도 평가의 효과성 고찰)

  • Shin, Heenam;Ahn, Sung Hun
    • Journal of Creative Information Culture
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    • v.7 no.3
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    • pp.177-185
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    • 2021
  • In future education, the paradigm of education is changing due to changes in learner-led and assessment methods. In addition, AI-based learning infrastructure and software education are increasingly needed. Thus, this study aims to examine the effectiveness of AI-based evaluation in future education by combining it with learner-led assessment. Using AI education and evaluation literature and Step 7 of the Learner-Driven Software Assessment Method, we sought to extract evaluation elements tailored to elementary school level in conjunction with the 2015 revised elementary practical course content elements, software understanding, procedural problem solving, and structural evaluation elements. In the future, we will develop a grading system that applies AI-based learner-led evaluation elements in software education and continuously demonstrate its effectiveness, and help the school site prepare for future education independently through AI-based learner-led assessment in software education.

Analysis of the operation status of the AI convergence education major in the Graduate School of Education (교육대학원 AI융합교육전공 운영 현황 분석)

  • Ahn, Sunghun;Kim, Jamee;Jeong, Inkee;Jeon, Yongju;Park, Jeongho
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.411-418
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    • 2021
  • In this study, in order to analyze the AI convergence education courses of 38 graduate schools of education, the analysis frame was constructed in terms of basic subject classification, content field of subject, and detailed subject composition by field. And as a result of analysis through this frame, it was found that the number of subjects currently operated by these graduate schools of education is very different from 14 subjects to 48 subjects. Therefore, it was judged that it was urgent to develop a standard curriculum for the AI convergence education major operated by each graduate school of education for the same purpose. The AI Convergence Education Major, which was established for the same purpose and operated in different forms, will eventually produce teachers with different competencies, so there is a risk of bringing confusion to the direction of AI Convergence Education in the school field.

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Ethics-Literacy Curriculum Modeling for Ethical Practice of 5G Information Professionals (5G 정보환경 정보전문가를 위한 윤리 리터러시 교육과정 모형연구)

  • Yoo, Sarah
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.139-166
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    • 2022
  • Ethical Issues increase when people engage in smart technological systems such as 5G, IoT, Cloud computing services and AI applications. Range of this research is comparison of various literacy concepts and its ethical issues in considering of 5G features and UX. 86 research papers and reports which have been published within the recent 5 years (2017-2022), relating the research subject, are investigated and analyzed. Two results show that various literacies can be grouped into four areas and that some of common issues among those areas as well as unique issues of each area are identified. Based on the literature analysis, an Operational Definition of Ethics-Literacy is presented and the model of ethics-literacy curriculum supporting ethical behavior of 5G information professionals is developed and suggested.

A Study on Comparing the Computer Science Education Hours between Public and Private Elementary Schools (공립초등학교와 사립초등학교의 정보교육 시수 비교 연구)

  • Choi, Moonseok;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.107-112
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    • 2021
  • This study tried to analyze the hours for computer science education in private elementary schools located in Seoul, in order to find out how many lesson hours are required. According to online discussion participation in the 2022 revised curriculum survey results, it was found that students and parents wanted computer science education to be strengthened. Information education in public elementary schools consists of a separate unit in the practical subject based on the 2015 revised curriculum and is to be implemented for more than 17 hours. As a result of surveying the average hours of computer science education based on school reminder of 28 private elementary schools in Seoul, it was found that about 152 hours of information education were being operated for 6 years. This is about 9 times the gap in education hours compared to public elementary schools. Artificial intelligence is emerging as important, so the lesson hours of information education must be secured to strengthen students' future competency in morden society. Therefore, informatics curriculum should be independent as a subject and secure the number of hours in the elementary school level.

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The Expectation of Medical Artificial Intelligence of Students Majoring in Health in Convergence Era (융복합 시대에 일부 보건계열 전공 학생들의 의료용 인공지능에 대한 기대도)

  • Moon, Ja-Young;Sim, Seon-Ju
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.97-104
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    • 2018
  • The purpose of this study was to investigate the expectation toward medical artificial intelligence(AI) of students in majoring health, and to utilize it as a basic data for widespread use of medical AI for 500 students majoring in health science at Cheonan city. The awareness of AI was 18.6%, the reliability of AI was 24.8%, and agreement to use of medical AI was 38%. Also, the higher the awareness and reliability of AI were, the higher the expectation of AI was. As a result, education on medical AI in the major field should be a cornerstone for the development of an effective healthcare environment utilizing medical AI by raising awareness, reliability and expectation of AI.

Development of the Contents of AI Convergence Education Method Subjects and Verification of Teaching Efficacy Effectiveness for Elementary and Secondary Teachers

  • Kim, Jeong-Rang
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.217-223
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    • 2022
  • In this paper, the needs and environment of the 'AI Convergence Education Method' were analyzed for elementary and secondary teachers, and based on this, teaching efficacy of informatics education was verified. For the research, elementary and secondary teachers who take the subject were selected, and based on the results of analyzing the general characteristics, pre-knowledge level, and needs of the subject, curriculum for 15 weeks was developed. As a result of verifying the teaching efficacy effectiveness of the developed 'AI Convergence Education Method' subject for 15 weeks, the effectiveness of the information education teaching efficacy was verified. Among the factors, there were statistically significant differences in information teaching values and information teaching strategies. In the future, it is necessary to conduct follow-up research to secure teachers' professionalism, such as linking with schools and convergence with other subjects. Various teaching and learning materials and teaching and learning methods such as educational contents and materials, reference literature, and artificial intelligence education platforms need to be prepared.

Suggestions for Improving Computational Thinking and Mathematical Thinking for Artificial Intelligence Education in Elementary and Secondary School (초·중등 인공지능 교육에서 컴퓨팅 사고력 및 수학적 사고력 향상을 위한 제언)

  • Park, Sang-woo;Cho, Jungwon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.185-187
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    • 2022
  • Because of the rapid change in the educational paradigm in the Fourth Industrial Revolution Era, Artificial Intelligence (AI) Education is becoming increasingly important today. The 2022 Revised Curriculum focuses on AI Education that can cultivate the fundamental skills and competencies needed in the future society. The following are the directions presented in this study for improving computational thinking and mathematical thinking in AI Education in elementary and secondary schools. First, studying teaching principles that allow students to understand AI concepts and principles and develop their ability to solve real-life problems is necessary in terms of computational thinking skills education. Second, an educational program is required for students to acquire algorithms using formulas and learn principles in the process of computers thinking like humans as part of their mathematical thinking ability to understand AI. A study on expectations through the analysis of competent learning effects that may arise from the relationship between instructors and learners was proposed as a future research project.

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A Study on Theological Students' Perception of Artificial Intelligence and the Christian Educational Implications (인공지능에 대한 신학생들의 인식 연구와 기독교교육학적 의의)

  • Im, Jun-Sub;Ham, Young-Ju
    • Journal of Christian Education in Korea
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    • v.61
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    • pp.233-262
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    • 2020
  • Rapidly developing modern science &technology have a profound impact on Christians and pastoral work. Recently, the 4th Industrial Revolution has induced lots of discussions in the field of church and theology, and artificial intelligence (AI) has become an important issue in many ways. Nevertheless, there is a lack of empirical research on how the AI would affect church and pastoral work. This study examined and analyzed the theological students' perception of AI. A survey was conducted on the perception of seven sub-areas of 220 male and female theological students at major seminaries in Korea. The seven subareas were including the degree of interest in AI, social influence, AI's alternative influence, and AI's church influence. The results showed that theological students generally agree with the academic relevance of AI or the need for education on AI. However, it presented alow perception of the impact of AI on the church. Such recognition may reflect the following belief. Students are aware that the AI is a necessary and important part of social and general education, but at the same time, they think the AI may not significantly threaten the church. Therefore, wes uggest that considering a response of Christian education to raise the perception of theological students of AI, courses related to science and technology should be organized in the curriculum of seminaries at various levels from the perspective of the Christian worldview.

Development and Application of an Artificial Intelligence Convergence Education Program Linked to School Library Reading Activities for Middle School Students (중학생을 위한 학교도서관의 독서활동 연계 인공지능 융합교육 프로그램의 개발과 적용)

  • Yonju No;Ji Won You
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.439-463
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    • 2024
  • Recently, there has been a growing demand for school libraries to take on the role of curriculum convergence and content development. This study purposed to develop a program that integrates reading activities and artificial intelligence (AI) education in a middle school library as a platform for convergence education. The program aimed to enhance creative problem-solving skills by integrating an understanding of AI concepts and principles through reading activities related to AI topics. The program, comprising 18 sessions (6 modules), was implemented with 36 first-year students at A Middle School, Gyeonggi-do, in 2022. After implementation, a paired-sample t-test revealed significant improvements in AI learning self-efficacy and creative problem-solving skills. Participants also showed positive attitudes toward class engagement and reading activities. Implications for AI convergence education in connection with school libraries were discussed.