面向大众的人工智能文科课程的发展

Yunjae Jang, Ilkyu Yoon, Hosung Woo
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引用次数: 0

摘要

人工智能(AI)超越了技术,正在从根本上改变人们的生活方式。它在决定国家和公司的竞争力方面起着关键作用,预计将从根本上改变现有行业的竞争格局。人们越了解人工智能,就越能有效、安全地利用它。因此,制定一项确保所有公民都能接受人工智能教育的战略非常重要。本研究旨在开发人工智能文科课程,以提高大众使用和理解人工智能的能力。通过文献分析,得出了大众人工智能的核心竞争力。核心能力是适应性、公共利益考虑、创造性和收敛性思维、协作、计算思维和人工智能素养。人工智能课程设计考虑了人工智能核心能力,并对人工智能技术和教育专家进行了有效性验证。我们还通过对Web of Science上收集的人工智能教育相关论文的词频和主题建模分析结果,对面向大众的人工智能课程的内容和水平进行了对比分析。人工智能课程的领域包括理解人工智能、应用人工智能和人工智能。本研究的意义在于发现的主题是基于从许多AI教育相关文档中提取的单词频率,并且在课程开发过程中考虑了主题建模的结果。
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Development of AI Liberal Arts Curriculum for the General Public
Extending beyond technology, artificial intelligence (AI) is fundamentally changing how people live. It plays a key role in determining the competitiveness of countries and companies and is expected to change the competitive landscape of existing industries fundamentally. The better people understand AI, the better they can utilize it effectively and safely. Therefore, preparing a strategy to ensure that all citizens have access to AI education is important. This study aims to develop an AI liberal arts curriculum to improve the general public’s ability to utilize and understand AI. Through literature analysis, AI core competencies for the general public were derived. The core competencies are Adaptability, Public Interest Consideration, Creative and Convergent Thinking, Collaboration, Computational Thinking, and Artificial Intelligence Literacy. The AI curriculum was designed considering AI core competencies, and the validity of the experts was verified for AI technology and education experts. We also conducted a comparative analysis of the content and level of AI curriculum for the general public based on the results of word frequency and topic modeling analysis of AI education-related papers collected from the Web of Science. The areas of the AI curriculum consisted of understanding artificial intelligence, application of artificial intelligence, and artificial intelligence. This study is significant in that the topics discovered are based on the frequency of words extracted from many AI education-related documents, and the results of topic modeling are considered in the curriculum development process.
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来源期刊
International Journal on Advanced Science, Engineering and Information Technology
International Journal on Advanced Science, Engineering and Information Technology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.40
自引率
0.00%
发文量
272
期刊介绍: International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the IJASEIT follows the open access policy that allows the published articles freely available online without any subscription. The journal scopes include (but not limited to) the followings: -Science: Bioscience & Biotechnology. Chemistry & Food Technology, Environmental, Health Science, Mathematics & Statistics, Applied Physics -Engineering: Architecture, Chemical & Process, Civil & structural, Electrical, Electronic & Systems, Geological & Mining Engineering, Mechanical & Materials -Information Science & Technology: Artificial Intelligence, Computer Science, E-Learning & Multimedia, Information System, Internet & Mobile Computing
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