Promoting deep integration of artificial intelligence and education for new pathways of precision learning

Qu Bo

doi:10.3760/cma.j.cn116021-20250326-02133

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Promoting deep integration of artificial intelligence and education for new pathways of precision learning

Expert Perspective | 更新时间：2025-10-29

- Promoting deep integration of artificial intelligence and education for new pathways of precision learning
- Chinese Journal of Medical Education Research Vol. 24, Issue 10, Pages: 1297-1299(2025)
- 作者机构：
  
  中国医科大学，沈阳 110122
- 作者简介：
  
  Email：qubo6666@163.com
- 基金信息：
  
  Liaoning Provincial Social Science Planning Fund Education Project(L21BED020)
- DOI：10.3760/cma.j.cn116021-20250326-02133
  CLC： R-05
- Received：26 March 2025，
  
  Published：20 October 2025
- 稿件说明：
移动端阅览
曲波. 推动AI与教育深度融合构建精准学习新路径[J]. 中华医学教育探索杂志, 2025, 24(10): 1297-1299.

Qu Bo. Promoting deep integration of artificial intelligence and education for new pathways of precision learning[J]. Chinese journal of medical education research, 2025, 24(10): 1297-1299.
曲波. 推动AI与教育深度融合构建精准学习新路径[J]. 中华医学教育探索杂志, 2025, 24(10): 1297-1299. DOI： 10.3760/cma.j.cn116021-20250326-02133.

Qu Bo. Promoting deep integration of artificial intelligence and education for new pathways of precision learning[J]. Chinese journal of medical education research, 2025, 24(10): 1297-1299. DOI： 10.3760/cma.j.cn116021-20250326-02133.

摘要

本文围绕人工智能（artificial intelligence，AI）与教育深度融合的背景，探讨了构建精准学习新路径的理论基础与实践策略。精准学习是一种体系化、概念化、数智化的科学学习范式，能够有效解决教育规模化与个性化之间的矛盾。通过“一体、两翼、三心、四准”的实施框架，即强化学科知识图谱建设、优化数字化资源与题库、推动循证教学与AI赋能、实现精准分类与推送，可系统推进精准学习的落地。最后，展望了医学教育在数智化转型中的发展方向，强调AI技术在提升医学教育质量、推动个性化培养和跨区域合作中的重要作用，旨在为推进中国式教育现代化提供理论支持与实践路径。

Abstract

This article focuses on discussing the theoretical basis and practical strategies for constructing new pathways of precision learning in the context of the deep integration of artificial intelligence (AI) and education. Precision learning is a scientific

systematic

conceptualized

and digitized learning paradigm that can effectively solve the contradiction between education scaling and personalization. Through implementing a framework that comprises strengthening the construction of disciplinary knowledge graphs

optimizing digital resources and question banks

promoting evidence-informed and AI-empowered instruction

and achieving precise classification and delivery

precision learning can be systematically advanced. Finally

we present an outlook on the future directions of medical education in the era of digital and intelligent transformation

emphasizing the important role of AI technology in improving the quality of medical education

promoting personalized training

and facilitating cross-regional cooperation

with the aim of providing theoretical support and practical paths for building a modern Chinese-style education system.

关键词

Keywords

references

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Related Institution

Department of General Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College

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