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Case-based learning method combined with mind mapping in pathophysiology teaching / 中华医学教育探索杂志
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-991253
Responsible library: WPRO
ABSTRACT

Objective:

To explore the effect of case-based learning (CBL) combined with mind mapping on pathophysiology teaching.

Methods:

Totally 124 undergraduate students from Batch 2017 of Yanjing Medical College of Capital Medical University were selected as research subjects, and they were divided into experimental group ( n=60) and control group ( n=64). The traditional teaching method was used in the control group, while the experimental group adopted CBL combined with mind mapping teaching method. At the end of the course, the teaching effectiveness was evaluated by the usual grades from Mosoteach online teaching platform and test performances. SPSS 17.0 was used to perform Wilcoxon rank sum test and the Welch's correction t test.

Results:

The initiative of students in the experimental group was significantly improved than that in the control group ( P<0.001), and the understanding ability was also better in the experimental group than the control group ( P=0.020). The average theoretical scores of the experimental group were significantly better than those of the control group ( P=0.036), with the main manifestations that the scores of objective questions were higher than those of the control group ( P<0.001), and the scores of short answer and discussion questions were higher than those of the control group ( P=0.006). There was no significant difference in noun interpretation scores between the two groups ( P=0.302).

Conclusion:

The CBL combined with mind mapping can significantly improve the teaching quality of pathophysiology.

Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Education Research Year: 2023 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Education Research Year: 2023 Document type: Article
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