Li Qian, Li SiYuan, Fu Di, Liao Ga, Zhou Xuedong, Gong Tao, Zheng Xin
State Key Laboratory of Oral Diseases& National Center For Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
West China Hospital, Sichuan University, Chengdu, China.
J Dent Educ. 2025 Sep 3. doi: 10.1002/jdd.70033.
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.
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.
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.
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.
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已引起广泛关注,正在彻底改变教学方法、临床培训和学生评估。然而,尽管相关文献不断增多,但尚无全面的文献计量分析来描绘该领域有影响力的研究、研究趋势和新兴主题。本研究旨在通过文献计量方法分析牙科教育中数字技术研究的结构、热点和发展情况。
使用来自科学网核心合集数据库的数据进行文献计量分析。通过与牙科教育中的AI、VR、AR、模拟和数字学习相关的预定义关键词检索相关出版物。研究了年度出版物、合作网络、高被引文章、引文分析和关键词引文爆发情况。该研究确定了研究集群、高影响力文章以及随时间变化的发展趋势。
分析显示出版物数量稳步增加。合作网络突出了北美和欧洲的关键研究中心。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”。观察到教育技术、在线学习和学习环境等关键词有强烈的引文爆发,表明向技术驱动的教学方法转变。然而,教师培训、可及性和AI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。
尽管存在挑战,但数字技术继续重塑牙科教育,VR、AR、AI和在线学习发挥着越来越重要的作用。未来的研究应侧重于标准化实施指南和技术改进,以最大限度地提高其在牙科培训中的有效性。