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Research on the Disciplinary Evolution of Deep Learning and the Educational Revelation

机译:深度学习与教育启示的纪律演变研究

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The significant growing popularity of Artificial Intelligence education is coincidence with the aggressive application of AI technology in modern society. Taking articles titled with “deep learning” and their citations from Web of Science core collections as an example, the disciplinary evolution and interdisciplinary progress of this field are analyzed and visualized. The interdisciplinary characteristics of different countries represent different directions and tendencies of scientific research and technique development on deep learning. Following the rule of theoretical and technological development of AI techniques, especially the interdisciplinary, reform of AI education need to focus on interdisciplinary in both education mode and curriculum content, deep integration of research and education, and close cooperation of industry, universities, and research institutes.
机译:人工智能教育的显着增长普及与AI技术在现代社会中的侵略性应用巧合。以科学核心收藏网上的“深入学习”及其引文为例,以符合“深度学习”的文章为例,分析了该领域的纪律演变和跨学科进展。不同国家的跨学科特征代表了深入学习的科学研究和技术发展的不同方向和趋势。遵循AI技术的理论和技术发展规则,尤其是跨学科,AI教育改革需要专注于教育模式和课程内容的跨学科,研究和教育深入整合,并密切合作,以及工业,大学和研究的密切合作研究所。

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