Yue Junyan, Shang Yun, Cui Hongkai, Liang Changhua, Wu Qingwu, Zhao Junqiang, Wang Huifang, Han Dongmin, Zhu Zhiping
The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Medical Imaging School of Xinxiang Medical University, Weihui, China.
BMC Med Educ. 2025 Mar 19;25(1):402. doi: 10.1186/s12909-025-06933-1.
To employ big data mining to provide a visualization analysis of Case-Based Learning (CBL) application in Chinese and international medical education, with the aim of observing the potential applications of CBL.
All included literature was obtained from the Web of Science (WoS) core collection database, Chinese core periodicals database, Chinese Social Sciences Citation Index (CSSCI), Chinese Science Citation Database of China National Knowledge Infrastructure (CNKI), Wangfang Database, and CQVIP Database. CiteSpace software (6.1.6R6) was used to conduct an in-depth investigation from four perspectives: quantitative analysis of literature, network analysis of co-occurring authors, network analysis of co-occurring research institutions, keyword clustering and burst analysis.
A total of 721 Chinese articles and 537 English articles were included, demonstrating an exponential growth trend. Notably, no author exhibited a prolific publication rate within a short timeframe. Bursting keywords in English literature encompassed topics related to students' learning, teaching curriculum, methods, and location. In contrast, Chinese literature focused on students' learning, teaching methods, courses, application fields as well as national policy and the Ministry of Education of the People's Republic of China (MOE) guidance. The keyword clusters include research on care, community practice, special projects and groups, teaching methods, and capacity development of participants in English literature. For Chinese literature, the clusters include research national policy guidance, teaching reform, mode and evaluation and various disciplines.
CBL holds immense potential for implementation across diverse disciplines, community practices, and special projects within medical education. The practical application of CBL is continuously evolving in response to changing times and can be seamlessly integrated into different contexts influenced by environmental factors and policies.
运用大数据挖掘技术，对基于案例的学习（CBL）在中国和国际医学教育中的应用进行可视化分析，以观察CBL的潜在应用。
所有纳入文献均来自科学网（WoS）核心合集数据库、中国核心期刊数据库、中国社会科学引文索引（CSSCI）、中国知网（CNKI）的中国科学引文数据库、万方数据库和维普数据库。使用CiteSpace软件（6.1.6R6）从文献定量分析、共现作者网络分析、共现研究机构网络分析、关键词聚类和突现分析四个角度进行深入研究。
共纳入721篇中文文章和537篇英文文章，呈现指数增长趋势。值得注意的是，短期内没有作者表现出高产率。英文文献中的突现关键词涵盖了与学生学习、教学课程、方法和地点相关的主题。相比之下，中文文献关注学生学习、教学方法、课程、应用领域以及国家政策和中华人民共和国教育部（MOE）指导。英文文献的关键词聚类包括护理、社区实践、特殊项目和群体、教学方法以及参与者能力发展的研究。对于中文文献，聚类包括国家政策指导、教学改革、模式与评价以及各个学科的研究。
CBL在医学教育的不同学科、社区实践和特殊项目中具有巨大的实施潜力。CBL的实际应用随着时代的变化而不断发展，并且可以无缝融入受环境因素和政策影响的不同背景中。
