4.2 Article

Evaluating learning among undergraduate medical students in schools with traditional and problem-based curricula

期刊

ADVANCES IN PHYSIOLOGY EDUCATION
卷 37, 期 3, 页码 249-253

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/advan.00031.2013

关键词

knowledge; skills; problem-based learning; traditional teaching

资金

  1. College of Medicine Research Centre
  2. Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia

向作者/读者索取更多资源

This study aimed to assess knowledge and skills in a respiratory physiology course in traditional versus problem-based learning (PBL) groups in two different medical schools. Two different undergraduate medical schools were selected for this study. The first medical school followed the traditional [lecture-based learning (LBL)] curriculum, and the second medical school followed the PBL curriculum. Sixty first-year male medical students (30 students from each medical school) volunteered; they were apparently healthy and of the same age, sex, nationality, and regional and cultural background. Students were taught respiratory physiology according to their curriculum for a period of 2 wk. At the completion of the study period, knowledge was measured based on a single best multiple-choice question examination, and skill was measured based on the objective structured practical examination in the lung function laboratory (respiratory physiology). A Student's t-test was applied for the analysis of the data, and the level of significance was set at P < 0.05. Students belonging to the PBL curriculum obtained a higher score in the multiple-choice question examination (P = 0.001) and objective structured practical examination (P = 0.0001) compared with traditional (LBL) students. Students in the PBL group obtained significantly higher knowledge and skill scores in the respiratory physiology course compared with students in the traditional (LBL) style of medical schools.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据