Innovative application of large language model-based educational technology in dental medicine practice education

Xu Ting; Hua Yuning; Zhu Shenji; Fan Zeying; Zhou Zhiguang

doi:10.3760/cma.j.cn116021-20250717-02180

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Innovative application of large language model-based educational technology in dental medicine practice education

Digital Intelligence MedicalEducation | 更新时间：2026-02-13

- Innovative application of large language model-based educational technology in dental medicine practice education
- Chinese Journal of Medical Education Research Vol. 25, Issue 1, Pages: 12-22(2026)
- 作者机构：
  
  1.浙江大学医学院附属第一医院口腔科，杭州 310003
  2.杭州电子科技大学数字媒体与艺术设计学院，杭州 310018
- 作者简介：
  
  Zhou Zhiguang, Email: zhgzhou@hdu.edu.cn
- 基金信息：
  
  General Project of National Natural Science Foundation of China(62177040;62277013)
- DOI：10.3760/cma.j.cn116021-20250717-02180
  CLC： R78
- Received：17 July 2025，
  
  Published：20 January 2026
- 稿件说明：
移动端阅览
徐婷, 华语凝, 朱申吉, 等. 基于大语言模型的教育技术在口腔医学实践教育中的创新应用[J]. 中华医学教育探索杂志, 2026, 25(1): 12-22.

Xu Ting, Hua Yuning, Zhu Shenji, et al. Innovative application of large language model-based educational technology in dental medicine practice education[J]. Chinese Journal of Medical Education Research, 2026, 25(1): 12-22.
徐婷, 华语凝, 朱申吉, 等. 基于大语言模型的教育技术在口腔医学实践教育中的创新应用[J]. 中华医学教育探索杂志, 2026, 25(1): 12-22. DOI： 10.3760/cma.j.cn116021-20250717-02180.

Xu Ting, Hua Yuning, Zhu Shenji, et al. Innovative application of large language model-based educational technology in dental medicine practice education[J]. Chinese Journal of Medical Education Research, 2026, 25(1): 12-22. DOI： 10.3760/cma.j.cn116021-20250717-02180.

摘要

在数字化医疗快速发展的背景下，口腔医学实践教育面临诸多挑战，如标准化教学与个性化需求相冲突、实践资源有限且临床复杂性模拟失真、教学资源管理不完善等。本文提出一种基于大语言模型（large language models，LLMs）的教育技术架构，该架构整合自然语言处理、知识图谱构建和虚拟现实等技术，构建了智能教育新范式，包含个性化教学深度适配、虚拟临床实践强化以及教学资源全生命周期管理三大核心模块。本文通过回顾LLMs在医学教育领域的应用现状，分析口腔医学实践教育的关键要点，提出融合多模态数据处理、沉浸式技术与动态优化机制，以实现“教学—实践—管理”全流程智能化升级，为智能化口腔医学实践教育提供理论支撑与解决方案，有望提升人才培养效率与质量，推动口腔医学教育向精准、高效、智能的方向发展。

Abstract

With the rapid advancement of digital health technologies

dental medicine practical education is encountering multiple challenges

including the conflict between standardized instruction and individualized learning needs

limited practice resources

loss of clinical complexity in simulation

and imperfect management of teaching resources. This article proposes a large language models (LLMs)-based educational technology architecture that integrates natural language processing

knowledge graph construction

and virtual reality

aiming to build a new paradigm of intelligent education encompassing three core modules: in-depth adaptation of personalized teaching

enhancement of virtual clinical practice

and full life-cycle management of teaching resources. This article reviews the application of LLMs in medical education

analyzes key aspects of dental medicine practical education

and proposes integrating multimodal data processing

immersive technologies

and dynamic optimization mechanisms. These aim to intelligently upgrade the "teaching-practice-management" process

offering theoretical support and solutions for intelligent dental medicine practical education. This solution holds promise for enhancing talent training efficiency and quality

driving stomatological education development toward greater precision

efficiency

and intelligence.

关键词

Keywords

references

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