人工智能赋能“基因分子生物学实验”课程的信息化建设

doi:10.16352/j.issn.1001-6325.2026.09.1298

基础医学与临床 ›› 2026, Vol. 46 ›› Issue (9): 1298-1301.doi: 10.16352/j.issn.1001-6325.2026.09.1298

人工智能赋能“基因分子生物学实验”课程的信息化建设

付俊¹, 张祝琴^2,3, 韩为^2,3, 张然³, 梁俊波^2,3, 谷婧丽¹, 徐园园¹, 彭小忠^2*

中国医学科学院北京协和医学院基础医学研究所 1.基础医学国家级实验教学示范中心;2.生物化学与分子生物学系;3.重大疾病共性机制研究全国重点实验室,北京 100005

收稿日期:2026-04-20 修回日期:2026-06-12 出版日期:2026-09-05 发布日期:2026-08-18
通讯作者: ^*pengxiaozhong@pumc.edu.cn
基金资助:
北京协和医学院研究生课程信息化建设专项基金(2024YXX005)

Artificial intelligence supports digital transformation of “Molecular Biology Experiments of the Gene” course

FU Jun¹, ZHANG Zhuqin^2,3, HAN Wei^2,3, ZHANG Ran³, LIANG Junbo^2,3, GU Jingli¹, XU Yuanyuan¹, PENG Xiaozhong^2*

1. National Demonstration Center for Experimental Basic Medical Education; 2. Department of Biochemistry and Molecular Biology; 3. State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China

Received:2026-04-20 Revised:2026-06-12 Online:2026-09-05 Published:2026-08-18
Contact: ^*pengxiaozhong@pumc.edu.cn

摘要/Abstract

摘要： 目的利用人工智能(AI)赋能教学,通过线上线下混合式教学的方式,探索在“基因分子生物学实验”课程教学中应用的效果。方法以北京协和医学院2025~2026学年选修“基因分子生物学实验”课程的100名学生为研究对象。学生通过线上形式课前预习和课后复习课程相关的理论知识、实验操作和注意事项。根据学生测试成绩、课堂表现、课后学生调查问卷反馈等多方面综合评价课程信息化建设效果。结果课程信息化建设有助于学生理解实验理论、熟悉实验操作、以及关注实验注意事项,受到学生好评。学生随堂测验成绩明显提高,优秀学生比例增加。学生对课程的评价有所提升。结论将人工智能赋能课程信息化建设,为学生提供多样化的教学资源,激发学生自主学习能力,课程建设效果明显。

关键词: 基因分子生物学实验, 研究生教学, 课程信息化建设

Abstract: Objective Utilizing artificial intelligence(AI) to support education, and to explore the application in course of “Molecular Biology Experiment of the Gene” through a blended teaching approach which combined online and off-line instruction. Methods Totally 100 students in the academic year 2025—2026 at Peking Union Medical College were selected as the research subjects. Students were required to preview and review course-related theoretical knowledge, experimental procedures and precautions before and after class online. This study investigated the effectiveness of course digital transformation through various aspects such as students′ test scores, classroom performance, and feedback from post-class student surveys. Results The digital transformation of the course helped students in understanding experimental theories, familiarizing themselves with experimental operations, and paying attention to experimental precautions, which has been well received by students. There has been a significant improvement in students′ scores on in-class quizzes, and an increase in the proportion of excellent students. Students′ evaluation of the course has also improved. Conclusions The digital transformation of the course provides students with diversified teaching resources, stimulates their building of autonomous learning skills, and achieves significant results in course construction.

Key words: Molecular Biology Experiments of the Gene, postgraduate teaching, digital transformation of course

中图分类号:

G643

付俊, 张祝琴, 韩为, 张然, 梁俊波, 谷婧丽, 徐园园, 彭小忠. 人工智能赋能“基因分子生物学实验”课程的信息化建设[J]. 基础医学与临床, 2026, 46(9): 1298-1301.

FU Jun, ZHANG Zhuqin, HAN Wei, ZHANG Ran, LIANG Junbo, GU Jingli, XU Yuanyuan, PENG Xiaozhong. Artificial intelligence supports digital transformation of “Molecular Biology Experiments of the Gene” course[J]. Basic & Clinical Medicine, 2026, 46(9): 1298-1301.

[1]	付俊, 张祝琴, 韩为, 张然, 谷婧丽, 徐园园, 彭小忠. 将人文和职业素养培养融入“基因分子生物学实验”课程建设的实践[J]. 基础医学与临床, 2025, 45(12): 1680-1683.
[2]	付俊, 谷婧丽, 张祝琴, 韩为, 张然, 徐园园, 彭小忠. “基因分子生物学实验”选课学生回顾调查和课程建设的思考[J]. 基础医学与临床, 2024, 44(12): 1751-1755.
[3]	付俊彭小忠史娟. 基于问卷调查的研究生基因分子生物学实验课教学效果初探[J]. 基础医学与临床, 2018, 38(12): 1828-1831.

人工智能赋能“基因分子生物学实验”课程的信息化建设

Artificial intelligence supports digital transformation of “Molecular Biology Experiments of the Gene” course

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