Qian Li, SiYuan Li, Di Fu, Ga Liao, Xuedong Zhou, Tao Gong, Xin Zheng
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引用次数: 0
Abstract
Background: The integration of artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and other digital technologies in dental education has gained significant attention, revolutionizing teaching methodologies, clinical training, and student assessment. However, despite the growing body of literature, there is no comprehensive bibliometric analysis mapping influential studies, research trends, and emerging topics in this field. This study aims to analyze the structure, hotspots, and evolution of digital technology research in dental education through bibliometric methods.
Methods: The bibliometric analysis was conducted using data from the Web of Science Core Collection database. Relevant publications were retrieved using predefined keywords related to AI, VR, AR, simulation, and digital learning in dental education. Annual publication, collaboration networks, highly-cited articles, citation analysis, and keyword citation bursts were examined. The study identified research clusters, high-impact articles, and evolving trends over time.
Results: The analysis revealed a steady increase in publications. Collaboration networks highlighted key research hubs in North America and Europe. The most prominent keywords include "dental education," "virtual reality," "e-learning," "augmented reality," "artificial intelligence," and "COVID-19." Strong citation bursts were observed for keywords such as educational technology, online learning, and learning environments, indicating a shift towards technology-driven teaching methods. However, gaps in faculty training, accessibility, and AI validation remain challenges in fully integrating these technologies into curricula.
Conclusion: Despite challenges, digital technologies continue to reshape dental education, with VR, AR, AI, and online learning playing increasingly important roles. Future research should focus on standardized implementation guidelines and technology refinement to maximize their effectiveness in dental training.
背景：人工智能（AI）、虚拟现实（VR）、增强现实（AR）和其他数字技术在牙科教育中的整合得到了极大的关注，彻底改变了教学方法、临床培训和学生评估。然而，尽管有越来越多的文献，但还没有全面的文献计量分析来映射该领域有影响力的研究、研究趋势和新兴主题。本研究旨在透过文献计量学的方法，分析牙科教育数位科技研究的结构、热点及演变。方法：采用Web of Science Core Collection数据库数据进行文献计量学分析。使用与牙科教育中的人工智能、虚拟现实、增强现实、模拟和数字学习相关的预定义关键词检索相关出版物。考察了年度出版物、合作网络、高被引文章、引文分析和关键词引文爆发。该研究确定了研究集群、高影响力文章和随时间变化的趋势。结果：分析显示出版物稳步增长。合作网络突出了北美和欧洲的主要研究中心。最突出的关键词包括“牙科教育”、“虚拟现实”、“电子学习”、“增强现实”、“人工智能”和“COVID-19”。在教育技术、在线学习和学习环境等关键词中观察到强烈的引用爆发，表明向技术驱动的教学方法转变。然而，教员培训、可访问性和人工智能验证方面的差距仍然是将这些技术完全整合到课程中的挑战。结论：尽管面临挑战，数字技术仍在继续重塑牙科教育，VR、AR、AI和在线学习发挥着越来越重要的作用。未来的研究应着眼于标准化的实施指南和技术的改进，以最大限度地提高其在牙科培训中的效果。
期刊介绍：
The Journal of Dental Education (JDE) is a peer-reviewed monthly journal that publishes a wide variety of educational and scientific research in dental, allied dental and advanced dental education. Published continuously by the American Dental Education Association since 1936 and internationally recognized as the premier journal for academic dentistry, the JDE publishes articles on such topics as curriculum reform, education research methods, innovative educational and assessment methodologies, faculty development, community-based dental education, student recruitment and admissions, professional and educational ethics, dental education around the world and systematic reviews of educational interest. The JDE is one of the top scholarly journals publishing the most important work in oral health education today; it celebrated its 80th anniversary in 2016.
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