Exploration of formative assessment model for computer basic courses in military medical universities in the digital intelligence era

Yun Jiaqi; Yan Yuping; Li Gaixia; Liu Jingle; Zhang Guopeng

doi:10.3760/cma.j.cn116021-20251101-02333

您当前的位置：

首页 >

文章列表页 >

Exploration of formative assessment model for computer basic courses in military medical universities in the digital intelligence era

更新时间：2026-07-31

- Exploration of formative assessment model for computer basic courses in military medical universities in the digital intelligence era
- Chinese Journal of Medical Education Research Pages: 1-6(2026)
- 作者机构：
  
  空军军医大学基础医学院计算机基础教研室，西安 710032
- 作者简介：
  
  Zhang Guopeng, Email: zhanggp@fmmu.edu.cn
- 基金信息：
  
  Key Teaching and Research Project of College of Basic Medical Sciences, Air Force Medical University(2025-JCJXKT-ZD-04);Teaching and Research Project on Computer Education in Military Academies(JSJLXHJG-2025-22)
- DOI：10.3760/cma.j.cn116021-20251101-02333
  CLC： R-0;R-4
- Received：01 November 2025，
  
  Online First：31 July 2026，
- 稿件说明：
移动端阅览
Yun Jiaqi, Yan Yuping, Li Gaixia, et al. Exploration of formative assessment model for computer basic courses in military medical universities in the digital intelligence era[J/OL]. Chinese Journal of Medical Education Research, 2026, 1-6.
DOI：

Yun Jiaqi, Yan Yuping, Li Gaixia, et al. Exploration of formative assessment model for computer basic courses in military medical universities in the digital intelligence era[J/OL]. Chinese Journal of Medical Education Research, 2026, 1-6. DOI： 10.3760/cma.j.cn116021-20251101-02333.

摘要

本文分析了传统考核模式在人工智能（generative artificial intelligence，GenAI）冲击下暴露出的知识验证失效、思维培养难落实及学生能力两极分化加剧等问题，并在此基础上结合医学生实际特点提出以能力培养为导向的重构思路，推动考核理念从“知识复现”转向“思维培养”，通过分层任务设计构建“防AI替代”的差异化考核场景，并结合AI辅助批改与人工复核方式进行多元过程性评价。以军医大学560名学员为研究对象的初步实践表明，该体系将计算思维、人机协作能力与医学专业身份进行了早期融合，能有效引导学生进行健康的人机协作，验证了该模式在保障评价公平、促进学生计算思维与数智素养发展方面的可行性与有效性，为智能时代医学计算机基础教育评价改革提供了新路径。

Abstract

The study analyzes the shortcomings of the traditional assessment model under the impact of GenAI

including the failure of knowledge verification

difficulties in cultivating thinking skills

and the exacerbation of student ability polarization. Building on this analysis and considering the specific characteristics of medical students

a reconstruction approach oriented towards ability development is proposed. This approach shifts the assessment philosophy from "knowledge reproduction" to "thinking cultivation"

constructs differentiated "AI-resistant" assessment scenarios through hierarchical task design

and implements a multifaceted process evaluation method combining AI-assisted grading and manual review. Preliminary practice involving 560 students at a military medical university demonstrates that this system facilitates the early integration of computational thinking and human-AI collaboration skills with their professional identity as medical students. It effectively guides students towards healthy human-AI collaboration

verifying the model's feasibility and effectiveness in ensuring assessment fairness and promoting the development of students' computational thinking and digital-intelligent literacy. This provides a new pathway for the reform of computer basic education assessment among medical students in the intelligence era.

关键词

Keywords

references

李秀，陆军，牛佳丽 . GenAI赋能的人机双师协同教学研究——基于清华大学计算机基础课程的案例分析 [J ] . 现代教育技术， 2025 ， 35 （ 3 ）： 34 - 43 . DOI: 10.3969/j.issn.1009-8097.2025.03.004 http://dx.doi.org/10.3969/j.issn.1009-8097.2025.03.004 .

邹佳叡，荣维东 . 我国生成式人工智能赋能教育的研究现状与展望 [J ] . 成都师范学院学报， 2024 ， 40 （ 6 ）： 99 - 106 . DOI: 10.3969/j.issn.2095-5642.2024.06.012 http://dx.doi.org/10.3969/j.issn.2095-5642.2024.06.012 .

许莹，赵心明 . 人工智能大语言模型在医学影像学中的应用进展 [J ] . 放射学实践， 2025 ， 40 （ 9 ）： 1082 - 1087 . DOI: 10.13609/j.cnki.1000-0313.2025.09.002 http://dx.doi.org/10.13609/j.cnki.1000-0313.2025.09.002 .

吴敏敏，王鑫钰，王伟炳 . 医学人工智能的技术发展和场景应用 [J ] . 复旦学报（医学版）， 2025 ， 52 （ 3 ）： 470 - 474 . DOI: 10.3969/j.issn.1672-8467.2025.03.021 http://dx.doi.org/10.3969/j.issn.1672-8467.2025.03.021 .

李杨，杜雷雷，许飞，等 . 大数据与人工智能在医学领域的应用进展 [J ] . 协和医学杂志， 2023 ， 14 （ 1 ）： 184 - 189 . DOI: 10.12290/xhyxzz.2022-0182 http://dx.doi.org/10.12290/xhyxzz.2022-0182 .

叶清，刘迅，周晓梅，等 . 健康医疗大数据应用存在的问题及对策探讨 [J ] . 中国医院管理， 2022 ， 42 （ 1 ）： 83 - 85 .

Ma B , Chen L , Konomi S . Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course [C ] //Olney AM, Chounta IA, Liu Z, et al. Artificial Intelligence in Education . Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky-25th International Conference, AIED 2024 , Proceedings. Cham: Springer , 2024: 113 - 126 . DOI: 10.1007/978-3-031-64315-6_9 http://dx.doi.org/10.1007/978-3-031-64315-6_9

Digital Education Council . AI or Not AI: What Students Want [R/OL ] . Hong Kong : Digital Education Council , 2024 . https://www.digitaleducationcouncil.com/post/digital-education-council-global-ai-student-survey-2024 https://www.digitaleducationcouncil.com/post/digital-education-council-global-ai-student-survey-2024 .

邹永攀 . 关于AI时代计算机学科教学模式与评价体系的思考 [J ] . 计算机教育， 2025 （ 6 ）： 15 - 17 . DOI: 10.3969/j.issn.1672-5913.2025.06.005 http://dx.doi.org/10.3969/j.issn.1672-5913.2025.06.005 .

居美艳，谭国平 . 科技快速变革背景下大学计算机基础教育改革与探索 [J ] . 高教学刊， 2024 ， 10 （增刊2 ）： 144 - 147 . DOI: 10.19980/j.CN23-1593/G4.2024.S2.033 http://dx.doi.org/10.19980/j.CN23-1593/G4.2024.S2.033 .

陆黎 . “互联网+教育”背景下高校《大学计算机基础》的教学改革探讨 [J ] . 电脑知识与技术， 2016 ， 12 （ 12 ）： 164 - 165 .

霍伟伟 , 梁冰倩 , 卞亦文 , 等 . 为什么越使用AI，越活得像个AI [N/OL ] . 中国科学报 , 2024-05-09 . https://news.sciencenet.cn/htmlnews/2024/5/522304.shtm https://news.sciencenet.cn/htmlnews/2024/5/522304.shtm

杨无敌，王煜阳 . 2022—2024年教育领域生成式人工智能研究进展——一项综合述评 [J ] . 计算机技术与发展， 2025 ， 35 （ 12 ）： 107 - 115 .

施大宁 . 学为中心，智能向善——AI时代背景下教学模式变革的思考 [J ] . 中国大学教学， 2025 （ 5 ）： 4 - 8 .

李秀，陆军，牛颂杰，等 . 人工智能时代计算机基础课程建设与教育教学思考 [J ] . 清华大学教育研究， 2024 ， 45 （ 2 ）： 42 - 49， 70 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Exploration of integrating artificial intelligence with thinking-guided teaching in the physical examination component of the Health Assessment course

Differences in the application of artificial intelligence tools in domestic and overseas scenarios among medical staff and their implications

Artificial intelligence-based generation of radiology test items and evaluation of assessment effectiveness through analysis of historical test item bank data

Survey and reflections on resident perceptions regarding the clinical applications of AI

Research on innovation of tumor microenvironment course and practice of building an online course cluster

Related Author

Zhang Hui

Yang Zifei

Zhao Yi

Qiao Yingzhi

Chen Jingxuan

Lü Feng

Yao Xiuyu

Liu Yuwen

Related Institution

School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College

School of Nursing, Southern Medical University

Department of International Affairs, The First Affiliated Hospital, Zhejiang University School of Medicine

Department of Medical Education, The First Affiliated Hospital, Zhejiang University School of Medicine

Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine

⁰