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Effects of problem-based learning modules within blended learning courses in medical statistics - A randomized
Zoran Bukumiric1, Aleksandra Ilic2, Mirjana Pajcin2
1University of Belgrade, Faculty of Medicine, Belgrade, Serbia.
Problem-based learning (PBL) modules significantly improved medical statistics knowledge and problem-solving skills in a pilot study. Students found PBL modules highly useful, suggesting their efficiency in blended learning environments.
Area of Science:
- Medical Education
- Statistics Education
Background:
- Problem-based learning (PBL) offers an active learning approach for complex subjects.
- Integrating PBL into blended learning can enhance medical statistics education.
Purpose of the Study:
- To evaluate the effectiveness of PBL modules in blended medical statistics courses.
- To assess student satisfaction with PBL integration.
Main Methods:
- A randomized controlled trial involving 53 medical students.
- Comparison between a group with PBL modules (hPBL) and a control group (BL).
- Assessment of knowledge outcomes and problem-solving skills.
Main Results:
- The hPBL group showed significantly higher problem-solving (p=0.012) and medical statistics scores (p=0.046).
- Problem-solving ability was linked to PBL access and higher GPA.
- Medical statistics scores correlated with PBL access and higher GPA.
- 100% of hPBL students found the modules useful.
Conclusions:
- PBL modules are an efficient and well-accepted addition to blended medical statistics courses.
- PBL can effectively enhance learning outcomes and student engagement.
- Further research with larger samples and diverse institutions is recommended.
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