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Research Hotspots and Development Trends of AI in Education: A Study Based on Knowledge Map and Co-Word Analysis

机译：教育中人工智能的研究热点和发展趋势：基于知识图谱和共词分析的研究

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摘要

With the gradual deepening of AI in manufacturing, medical, financial, transportation, environmental and other industries, the application of AI in the field of education has also attracted the attention of scholars. In this paper, Citespace, a visual analysis software, is used to reveal the research status of AI in the field of education from two aspects: research hotspots and research frontiers, using knowledge map and co-word Analysis methods, taking the relevant literature collected from CNKI database as the research object. The results show that the research hotspots of AI in the field of education focus on robot, AI technology, education reform, personnel training, intelligence education, teacher development and so on. The development trend has developed rapidly from the embryonic stage to the golden stage. According to the research results, the author believes that future research needs to expand the diversity of AI research in the field of education, promote the combination of AI theory and practice in the field of education, and pay attention to the protection of privacy data.
机译：随着人工智能在制造业，医疗，金融，交通，环境等行业的逐步深入，人工智能在教育领域的应用也引起了学者的关注。本文使用视觉分析软件Citespace从研究热点和研究前沿两个方面揭示AI在教育领域的研究现状，使用知识图谱和共词分析方法，并收集了相关文献以CNKI数据库为研究对象。结果表明，人工智能在教育领域的研究热点集中在机器人，人工智能技术，教育改革，人员培训，智力教育，教师发展等方面。从胚胎期到黄金期，发展趋势迅速发展。根据研究结果，作者认为，未来的研究需要扩大教育领域AI研究的多样性，促进AI理论与教育领域的结合，并重视隐私数据的保护。

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