The Role of Emerging Digital Technologies in Revolutionizing Dental Education: A Bibliometric Analysis

虚拟现实 课程 计算机科学 牙科教育 引用 增强现实 引文分析 数据科学 医学教育 万维网 人工智能 心理学 医学 教育学
作者
Qian Li,Siyuan Li,Di Fu,Ga Liao,Xuedong Zhou,Tao Gong,Xin Zheng
出处
期刊:Journal of Dental Education [Wiley]
标识
DOI:10.1002/jdd.70033
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Mai完成签到,获得积分10
刚刚
连续流工艺技术完成签到,获得积分10
刚刚
刚刚
pzy完成签到,获得积分10
刚刚
洽洽瓜子shine完成签到,获得积分10
刚刚
HalfGumps完成签到,获得积分10
刚刚
Zarc完成签到,获得积分10
刚刚
YUJIALING发布了新的文献求助10
刚刚
entgegen完成签到,获得积分10
1秒前
kdl0721完成签到,获得积分10
1秒前
爱学习的费力气完成签到,获得积分10
1秒前
Li818完成签到,获得积分10
1秒前
1秒前
jorjames完成签到,获得积分10
2秒前
2秒前
顾矜应助BALL采纳,获得10
3秒前
Rainielove0215完成签到,获得积分0
3秒前
bin_zhang完成签到,获得积分10
3秒前
fu完成签到,获得积分10
3秒前
廖丹妮发布了新的文献求助10
3秒前
3秒前
11完成签到 ,获得积分10
3秒前
kkk完成签到,获得积分10
3秒前
淡定雁开完成签到,获得积分10
4秒前
学术八戒完成签到 ,获得积分10
4秒前
4秒前
lansechuanglian完成签到,获得积分10
4秒前
小鸡毛完成签到,获得积分10
5秒前
Muth完成签到,获得积分10
6秒前
shihuda给风中冰枫的求助进行了留言
6秒前
peterwang35完成签到,获得积分10
6秒前
一只生物狗完成签到,获得积分10
7秒前
开放灭绝发布了新的文献求助10
7秒前
7秒前
YUJIALING完成签到,获得积分10
8秒前
8秒前
yuta123完成签到,获得积分10
8秒前
贝贝贝发布了新的文献求助10
8秒前
夏梓硕完成签到,获得积分10
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7298601
求助须知:如何正确求助?哪些是违规求助? 8917035
关于积分的说明 18880941
捐赠科研通 6963715
什么是DOI,文献DOI怎么找? 3210701
关于科研通互助平台的介绍 2380016
邀请新用户注册赠送积分活动 2187191