Basic & Clinical Medicine ›› 2026, Vol. 46 ›› Issue (9): 1298-1301.doi: 10.16352/j.issn.1001-6325.2026.09.1298

• Medical Education • Previous Articles     Next Articles

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

FU Jun1, ZHANG Zhuqin2,3, HAN Wei2,3, ZHANG Ran3, LIANG Junbo2,3, GU Jingli1, XU Yuanyuan1, PENG Xiaozhong2*   

  1. 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

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

CLC Number: