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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v9i11.12940</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Educational Application of Generative Artificial Intelligence Based on CiteSpace: Hotspots, Trends, and Cross-National Comparisons</title><url>https://artdesignp.com/journal/JCER/9/11/10.26689/jcer.v9i11.12940</url><author>XuQian,LiHong</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>11</issue><history><date date-type="pub"><published-time>2025-12-09</published-time></date></history><abstract>The transition of generative AI from an analytical to a creative tool is profoundly reshaping global education. This study employs CiteSpace for a scientometric analysis of relevant literature, identifying key research domains—“higher education,” “human-AI collaboration,” and “educational innovation”—and tracing their evolution. A comparative examination of approaches in the UK, US, and Australia highlights international variations in governance, assessment, and pedagogical integration. The analysis details GenAI’s transformative impact on key educational processes (teaching, learning, assessment, tutoring) via its core capabilities, while also addressing associated risks like data privacy, ethical dilemmas, and over-reliance. Concluding with a China-specific perspective, the paper proposes a forward-looking framework emphasizing human-centric principles, robust accountability, sustainable data ecosystems, and synergistic development, offering insights for intelligent education development worldwide.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Holmes W, Miao F, 2023, Guidance for Generative AI in Education and Research, UNESCO Publishing.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Miao FC, 2024, Fundamental Controversies and Countermeasures of Generative Artificial Intelligence and Its Educational Application. 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