• Title/Summary/Keyword: Artificial Intelligence Tools

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4D AI Convergence Education Model (4차원 인공지능 융합 교육 모형)

  • Kim, Kapsu
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.349-354
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    • 2021
  • In this study, a model that can converge with artificial intelligence in each subject as software and artificial intelligence education become mandatory in the curriculum revised in 2022 is proposed. The proposed AI convergence education model is based on the content of the subject (accomplishment standard + subject). The second axis is artificial intelligence tools, the third axis is artificial intelligence technology, and the fourth axis is data applied in daily life. In order to apply artificial intelligence to each subject, it is necessary to apply artificial intelligence tools, artificial intelligence technology, and data in daily life to the achievement standards and content of each subject. If the achievement standards and subject contents are structured in this way, it can be seen that the convergence with each subject is good. Therefore, when composing textbooks by achievement standards and topics, it is necessary to add artificial intelligence tools, artificial intelligence technology, and daily data.

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How to Review a Paper Written by Artificial Intelligence (인공지능으로 작성된 논문의 처리 방안)

  • Dong Woo Shin;Sung-Hoon Moon
    • Journal of Digestive Cancer Research
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    • v.12 no.1
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    • pp.38-43
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    • 2024
  • Artificial Intelligence (AI) is the intelligence of machines or software, in contrast to human intelligence. Generative AI technologies, such as ChatGPT, have emerged as valuable research tools that facilitate brainstorming ideas for research, analyzing data, and writing papers. However, their application has raised concerns regarding authorship, copyright, and ethical considerations. Many organizations of medical journal editors, including the International Committee of Medical Journal Editors and the World Association of Medical Editors, do not recognize AI technology as an author. Instead, they recommend that researchers explicitly acknowledge the use of AI tools in their research methods or acknowledgments. Similarly, international journals do not recognize AI tools as authors and insist that human authors should be accountable for the research findings. Therefore, when integrating AI-generated content into papers, it should be disclosed under the responsibility of human authors, and the details of the AI tools employed should be specified to ensure transparency and reliability.

Efficient use of artificial intelligence ChatGPT in educational ministry (인공지능 챗GPT의 교육목회에 효율적인 활용방안)

  • Jang Heum Ok
    • Journal of Christian Education in Korea
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    • v.78
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    • pp.57-85
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    • 2024
  • Purpose of the study: In order to utilize artificial intelligence-generated AI in educational ministry, this study analyzes the concept of artificial intelligence and generative AI and the educational theological aspects of educational ministry to find ways to efficiently utilize artificial intelligence ChatGPT in educational ministry. Contents and methods of the study: The contents of this study are. First, the contents of this study were analyzed by dividing the concepts of artificial intelligence and generative AI into the concept of artificial intelligence, types of artificial intelligence, and generative language model AI ChatGPT. Second, the educational theological analysis of educational ministry was divided into the concept of educational ministry, the goals of educational ministry, the content of educational ministry, and the direction of educational ministry in the era of artificial intelligence. Third, the plan to use artificial intelligence ChatGPT in educational ministry is to provide tools for writing sermon manuscripts, preparation tools for worship and prayer, and church education, focusing on the five functions of the early church community. It was analyzed by dividing it into tools for teaching, tools for teaching materials for believers, and tools for serving and volunteering. Conclusion and Recommendation: The conclusion of this study is that, first, when writing sermon manuscripts through artificial intelligence ChatGPT, high-quality sermon manuscripts can be written through the preacher's spirituality, faith, and insight. Second, through artificial intelligence ChatGPT, you can efficiently design and plan worship services and prepare services that serve the congregation objectively through various scenarios. Third, by using artificial intelligence ChatGPT in church education, it can be used while maintaining a complementary relationship with teachers through collaboration with human and artificial intelligence teachers. Fourth, through artificial intelligence ChatGPT, we provide a program that allows members of the church community to share spiritual fellowship, a plan to meet the needs of church members and strengthen interdependence, and an attitude of actively welcoming new people and respecting diversity. It provides useful materials that can play an important role in giving, loving, serving, and growing together in the love of Christ. Lastly, through artificial intelligence ChatGPT, we are seeking ways to provide various information about volunteer activities, learning support for children and youth in the community, mentoring-related programs, and playing a leading role in forming a village community in the local community.

An Artificial Intelligence Education Program Development and Application for Elementary Teachers (초등 교사들을 위한 인공지능 교육 프로그램 개발 및 적용)

  • Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.629-637
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    • 2019
  • Rapid changes in the knowledge and information society of the 21st century should be embraced and applied to teachers. Since artificial intelligence(AI) is an important axis of rapid change, artificial intelligence education should be started from elementary school. This change requires elementary school teachers to have basic skills for AI education. In this study, an AI education program for elementary school teachers is developed. This development consists of three stages, the first stage is the understanding of artificial intelligence, the second stage is the understanding and application of artificial intelligence tools, and the final stage is the creation and application of artificial intelligence programs. 15 elementary school teachers were tested. The result of this study will be a useful educational program for teachers in charge of AI education in elementary school students.

Development of Play-Centered Korean Language Education Program for Low-End Elementary School Students Using Artificial Intelligence Tools (인공지능 도구 활용 초등 저학년 놀이 중심 한글교육 프로그램 개발)

  • Song, JeongBoem
    • Journal of Practical Engineering Education
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    • v.12 no.2
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    • pp.301-308
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    • 2020
  • There are concerns that the recent surge in multicultural families and the continuation of non-face-to-face education, such as remote classes caused by COVID-19, are causing educational gaps among lower grades in elementary school. In particular, the importance of reading, writing and listening to our language should be established in lower grades of elementary school. Therefore, the research has recently developed contents that can enhance understanding by utilizing highly interested artificial intelligence tools and provide interesting Korean language education through play. In the future, there will be various attempts for artificial intelligence tools to be used in lower-grade elementary school education.

Development of Test Tool of Attitude toward Artificial Intelligence for Middle School Students (중학생의 인공지능에 대한 태도 검사 도구 개발)

  • Kim, Seong-Won;Lee, Youngjun
    • The Journal of Korean Association of Computer Education
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    • v.23 no.3
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    • pp.17-30
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    • 2020
  • Although the importance of Artificial Intelligence(AI) education is increasing, research on the development of test tools has not been conducted in AI education research in Korea has not been conducted. Accordingly, there is a limit to designing AI curriculum and analyzing the effect of the educational program. So, in this study, Test tool was developed that to measure the attitude toward artificial intelligence of middle school students. For the development of test tools, the objectives, components, factors, and test tools were developed through the discussion of AI education experts. The test tool was finally developed by item analysis, exploratory factor analysis and confirmatory factor analysis. Finally, the criteria of the developed test tool were analyzed. Future research is needed to analyze the effects of educational programs and to analyze factors affecting attitudes toward artificial intelligence in middle school students using developed test tools.

Issues and Trends Related to Artificial Intelligence in Research Ethics (연구윤리에서 인공지능 관련 이슈와 동향)

  • Sun-Hee Lee
    • Health Policy and Management
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    • v.34 no.2
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    • pp.103-105
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    • 2024
  • Artificial intelligence (AI) technology is rapidly spreading across various industries. Accordingly, interest in ethical issues arising from the use of AI is also increasing. This is particularly true in the healthcare sector, where AI-related ethical issues are a significant topic due to its focus on health and life. Hence, this issue aims to examine the ethical concerns when using AI tools during research and publication processes. One of the key concerns is the potential for unintended plagiarism when researchers use AI tools for tasks such as translation, citation, and editing. Currently, as AI is not given authorship, the researcher is held accountable for any ethical problems arising from using AI tools. Researchers are advised to specify which AI tools were used and how they were employed in their research papers. As more cases of ethical issues related to AI tools accumulate, it is expected that various guidelines will be developed. Therefore, researchers should stay informed about global consensus and guidelines regarding the use of AI tools in the research and publication process.

The Effectiveness of a Program in Activities for Early Students to Develop Some of the Basic Skills Needed for the Age of Artificial Intelligence

  • Adelah Abdulhamid Abdulwahab, Rajab
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.239-244
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    • 2022
  • The study aimed to build a program in activities for early childhood students to develop some of the basic skills necessary for the age of artificial intelligence, to achieve the objectives of the study , the researcher used the experimental design, and the research sample consisted of 37 early childhood students. The study used the following tools: Experimental treatment subject: the proposed program in the activities, Measurement and evaluation tool: testing the basic skills needed for the age of artificial intelligence. The study concluded several results: There is a statistically significant difference (α≤0.05) between the average grades of the early childhood students in the research group in the tribal and remote measurements to test the basic skills necessary for the age of artificial intelligence in favor of the students grades in the dimensional measurements. Practical application of the study through benefiting from the proposed program of activities prepared in the current study in planning and implementing activities to develop the basic skills necessary for the age of artificial intelligence among early childhood students.

Current approaches of artificial intelligence in breakwaters - A review

  • Kundapura, Suman;Hegde, Arkal Vittal
    • Ocean Systems Engineering
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    • v.7 no.2
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    • pp.75-87
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    • 2017
  • A breakwater has always been an ideal option to prevent shoreline erosion due to wave action as well as to maintain the tranquility in the lagoon area. The effects of the impinging wave on the structure could be analyzed and evaluated by several physical and numerical methods. An alternate approach to the numerical methods in the prediction of performance of a breakwater is Artificial Intelligence (AI) tools. In the recent decade many researchers have implemented several Artificial Intelligence (AI) tools in the prediction of performance, stability number and scour of breakwaters. This paper is a comprehensive review which serves as a guide to the current state of the art knowledge in application of soft computing techniques in breakwaters. This study aims to provide a detailed review of different soft computing techniques used in the prediction of performance of different breakwaters considering various combinations of input and response variables.

Artificial Intelligence in Personalized ICT Learning

  • Volodymyrivna, Krasheninnik Iryna;Vitaliiivna, Chorna Alona;Leonidovych, Koniukhov Serhii;Ibrahimova, Liudmyla;Iryna, Serdiuk
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.159-166
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    • 2022
  • Artificial Intelligence has stimulated every aspect of today's life. Human thinking quality is trying to be involved through digital tools in all research areas of the modern era. The education industry is also leveraging artificial intelligence magical power. Uses of digital technologies in pedagogical paradigms are being observed from the last century. The widespread involvement of artificial intelligence starts reshaping the educational landscape. Adaptive learning is an emerging pedagogical technique that uses computer-based algorithms, tools, and technologies for the learning process. These intelligent practices help at each learning curve stage, from content development to student's exam evaluation. The quality of information technology students and professionals training has also improved drastically with the involvement of artificial intelligence systems. In this paper, we will investigate adopted digital methods in the education sector so far. We will focus on intelligent techniques adopted for information technology students and professionals. Our literature review works on our proposed framework that entails four categories. These categories are communication between teacher and student, improved content design for computing course, evaluation of student's performance and intelligent agent. Our research will present the role of artificial intelligence in reshaping the educational process.