Chinese Journal of Medical Education ›› 2025, Vol. 45 ›› Issue (12): 900-905.DOI: 10.3760/cma.j.cn115259-20250126-00102

• Teaching Methods • Previous Articles     Next Articles

Study on knowledge graph empowering the training of clinical thinking

Yan Jingrui1, Deng Weimin2, Zhang Shijie3, Mo Jing4, Wen Ke1, Yu Li5   

  1. 1Medical Education Research Center, Tianjin Medical University, Tianjin 300070, China;
    2Teaching Office, School of Basic Medicine, Tianjin Medical University, Tianjin 300070, China;
    3Department of Pharmacology, School of Basic Medicine, Tianjin Medical University, Tianjin 300070, China;
    4Teaching and Research Section of Pathology , School of Basic Medicine, Tianjin Medical University, Tianjin 300070, China;
    5Teaching and Research Section of Computer, School of Basic Medicine, Tianjin Medical University, Tianjin 300070, China
  • Received:2025-01-26 Online:2026-12-01 Published:2025-11-30
  • Contact: Yu Li, Email: yuli@tmu.edu.cn
  • Supported by:
    Tianjin Key Cultivation Project of Teaching Achievements (PYGJ-B043); Project of Study on Medical Education of School Basic Medical Science of Tianjin Medical University (JCJG202409); Higher Education Research Planning Project of China Association of Higher Education (25YX0317); Special Project of Educating and Teaching of Tianjin Medical University (Courses Empowerment of Artificial Intelligence/Digital Intelligence 20241230)

Abstract: Objective To evaluate the efficacy of knowledge graph platform in training of clinical thinking for medical students within a case-based learning (CBL) curriculum. Methods A controlled experiment was adopted. During the CBL period from October 2023 to January 2024, a cluster sample of 177 clinical medicine students (″5+3″ integrated program) of the Grade 2021 from Tianjin Medical University were enrolled and randomly assigned to either an experimental group (n=88) or a control group (n=89). Students in the experimental group used a knowledge graph platform for CBL, while those in the control group received a traditional instruction. Learning gains were assessed through a standardized test (theoretical knowledge) and an expert interview (practical problem-solving). Data analysis was performed with the Mann-Whitney U test. Results In memory-based questions, the scores of the experimental group were close to those of the control group [41.8 (10.4) vs. 40.5 (11.0), P=0.666]. However, in application-based questions and comprehensive questions, the experimental group outperformed the control group [10.0 (2.5) vs. 9.0 (3.0), and 14.0 (3.0) vs. 12.5 (3.5), both P<0.05], respectively. In expert interviews, both the total score and comprehensive analysis ability of the experimental group were higher than those of the control group [87.0 (7.0) vs. 82.0 (7.0), and 32.0 (2.0) vs. 31.0 (2.5), both P<0.05], respectively. Conclusions As a digital tool, knowledge graph can empower clinical thinking training and thereby enhance students′ clinical thinking abilities.

Key words: Clinical medicine, Clinical thinking, Knowledge graph, Digital learning tool, Application of educational technology

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