• Title/Summary/Keyword: 인공지능 교육 방향

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Future Scenarios of Arts and Culture Content with Artificial Intelligence Development (인공지능 발전에 따른 문화예술콘텐츠의 미래 시나리오)

  • Ko, Jeong-min;Jeong, Yu-na
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.47-57
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    • 2020
  • This paper aims to show the development pattern of the impact of artificial intelligence on the arts and culture according to the scenario analysis, and suggests the direction of the arts and culture content industry in the future. We assume four scenarios based on creativity of artificial intelligence beyond humans and controllability for them, then explore the path leading to each scenario. In addition, for the most ideal route to coexist with artificial intelligence, we propose the provision of safety system for human and artificial intelligence, innovation of the education system, and preemptive investment from now on.

Topophilia Convergence Science Education for Enhancing Learning Capabilities in the Age of Artificial Intelligence Based on the Case of Challenge Match Lee Sedol and AlphaGo (알파고와 이세돌의 챌린지 매치에서 분석된 인공지능 시대의 학습자 역량을 위한 토포필리아 융합과학 교육)

  • Yoon, Ma-Byong;Lee, Jong-Hak;Baek, Je-Eun
    • Journal of the Korea Convergence Society
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    • v.7 no.4
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    • pp.123-131
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    • 2016
  • In this paper, we discussed learner's capability enhancement education suitable for the age of artificial intelligence (AI) using game analysis and archival research based on the 2016 Google Deepmind Challenge match between AI that possessed the finest deep neural networks and the master Baduk player that represented the best of the human minds. AlphaGo was a brilliant move that transcended the conventional wisdom of Baduk and introduced a new paradigm of Baduk. Lee Sedol defeated AlphaGo via the 'divine move and Great idea' that even AlphaGo could not have calculated. This was the triumph of human intuition and insights, which are deeply embedded in human nature as well as human courage and strength. Convergence science education that cultivates student abilities that can help them control machines in the age of AI must be in the direction of developing diverse human insights and positive spirits embedded in human nature not possessed by AI via implementing hearts-on experience and topophilia education obtained from the nature.

A Study on the Evaluation Direction of AI Education through the Analysis of SW Education Learner-centered Assessment Cases (SW교육 학습자 중심 평가 사례 분석을 통한 인공지능교육의 평가 방향 고찰)

  • Shin, Heenam;Ann, SungHun
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.511-518
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    • 2020
  • Preparing for the Fourth Industrial Revolution and Corona-19, our education is expanding a new chapter of learning to the era of AI education that incorporates software technology beyond software education. In this study, we will analyze the case of learner-centered assessment in software education and examine the assessment direction of artificial intelligence education through its effectiveness. Through the case of applying learner-centered assessment to non-computer subjects including computer subjects, we sought the effects on learners' learning, environmental conditions and assessment models of learner-centered evaluation, and through the case of applying the learner-centered assessment model to software education, we wanted to find out what the learner-centered assessment in artificial intelligence education suggests to the educational site. According to the analysis, the learner-centered assessment had a significant effect on the learner's achievement goal, and it is expected that the learner-centered assessment in artificial intelligence education will be carried out smoothly when an objective evaluation system and objective evaluation model are designed to help the learner's assessment, building digital environment conditions based on intelligent information technology.

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.

A meta-study on the analysis of the limitations of modern artificial intelligence technology and humanities insight for the realization of a super-intelligent cooperative society of human and artificial intelligence (인간 및 인공지능의 초지능 협력사회 실현을 위한 현대 인공지능 기술의 한계점 분석과 인문사회학적 통찰력에 대한 메타 연구)

  • Hwang, Su-Rim;Oh, Hayoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1013-1018
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    • 2021
  • Due to the recent accident caused by the automated vehicle, discussions on the ethical aspects of AI have been actively underway. This paper confirms that AI is inevitably connected to ethical components through the concepts and techniques related to robots-AI, and argues that ethical aspects are built-in, not post facto. Furthermore, this devises a solution to the trolley dilemma that can serve as a clue to ethical problems associated with automated vehicles. Preferentially, that process contains writing Bayesian networks. Next, only important and influential data are left after the pre-processing stage, and crowd-sourcing & extrapolation is used to calculate the exact figures of the networks. Through this process, this argues that humans' subjects are certainly included in implementing algorithms and models and discusses the necessity and direction of engineering liberal arts, especially education of ethics that distinguished from major education to prevent distortions and biases abouts AI systems.

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.

Design of Machine Learning Education Program for Elementary School Students Based on Sound Data (소리 데이터를 활용한 블록 기반의 초등 머신러닝 교육 프로그램 설계)

  • Ko, Seunghwan;Lee, Junho;Moon, Woojong;Kim, Jonghoon
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.7-11
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    • 2021
  • This study designs block-based machine learning education program using sound data that can be easily applied in elementary schools. The education program designed its goals and directions based on the results of a demand analysis conducted on 70 elementary school teachers in advance according to the ADDIE model. Scratch in Machine Learning for Kids was used for block-based programming, and the education program was designed to discover regularity of data values using sound data, learn the principles of artificial intelligence, and improve computational thinking in the programming process. In a later study, the education program needs to verify what changes there are in attitudes and computational thinking about artificial intelligence.

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Developing Programming Education Software with Generative AI (생성형 인공지능을 활용한 프로그래밍 교육 소프트웨어 개발)

  • Do-hyeon Choi
    • Journal of Practical Engineering Education
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    • v.15 no.3
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    • pp.589-595
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    • 2023
  • Artificial intelligence(AI) is spurring advancements in EdTech, the merger of technology and education. This includes the creation of effective learning materials and personalized student experiences. Our study focuses on developing a programming education software that employs state-of-the-art generative AI. Our software also includes prompts optimized for programming code analysis, which are based on the well-known ChatGPT API. Furthermore, the necessary functions for acquiring programming skills were created with a user interface and developed as a question-and-answer template function based on an AI chatbot. The objective of this study is to guide the development of educational programmes that make use of generative AI.

A Study on the Future Directions according to Analysis of Necessity of AI Education (AI교육의 필요성 분석에 따른 미래 방향 탐색)

  • Yoo, Inhwan;Kim, Wooyeol;Jeon, Jaecheon;Yu, Wonjin;Bae, Youngkwon
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.423-431
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    • 2020
  • As artificial intelligence(AI) technology is advanced based on recent technological advances such as machine learning, big data, and machine learning, it is actively used in various fields and is emerging as the core of the future industry. Accordingly, Korea is laying the groundwork for future AI technology development and environment establishment, such as announcing the national AI strategy, and is developing various policies to foster AI talent in the field of education. However, although many people agree on the importance or necessity of AI, it can be said that there is insufficient consensus on specific needs. Looking at related studies, there are many differences in the direction of AI education content and methodology, because awareness of necessity becomes a prerequisite for setting the direction, and accordingly, the direction such as educational content and method is determined. Therefore, this study aims to explore the direction of AI education by analyzing the difference in perceptions of the need for AI education between experts and the school field, and analyzing the perception of the need for AI education that everyone can relate to.

A Study on the Development of Artificial Intelligence in a Liberal Arts Applying SSI (SSI를 적용한 인공지능 교양 교과목 개발 연구)

  • Lee, KyungHee
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.229-235
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    • 2021
  • Artificial intelligence technology is influencing across all areas as technology advances and social needs change. Therefore, Korean universities have actively developed and operated classes related to artificial intelligence, and have emphasized the importance of artificial intelligence not only in major education but also in liberal arts education. However, there is a lack of research on the development of educational methods and educational programs because artificial intelligence education in liberal arts is in its early stages. SSI is an education that can apply social and ethical problems related to science to open problems that can creatively and reasonably present solutions. SSI can be applied to make AI education more effective. In this study, an artificial intelligence liberal arts curriculum applied SSI was developed with three purposes: First, it is designed is designed so that students subject to education can access it by considering its characteristics as actors of the intelligent information society. Second, it is designed so that students can experience artificial intelligence programs themselves and deal with science technology and social relevance in depth, focusing on various examples of real life. Third, it is designed and approached so that students can participate and cooperate for the purpose of solving common problems to develop cooperative problem-solving skills.