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ENHANCEMENT OF LEARNING ON SAMPLE SIZE CALCULATION WITH A SMARTPHONE APPLICATION: A CLUSTER-RANDOMIZED CONTROLLED
Summary
Smartphone applications significantly improve understanding of sample size calculation compared to lectures alone. This innovative approach enhances learning for research professionals, fostering a positive attitude towards mobile learning tools.
Area of Science:
- Medical Education
- Biostatistics
- Health Research Methodology
Background:
- Sample size determination is often theoretical and challenging for students to grasp.
- Traditional lecture-based teaching may not be the most effective method for sample size calculation.
- Smartphone applications offer a potentially more engaging and accessible learning tool.
Purpose of the Study:
- To compare the understanding of sample size calculations between lecture-only and lecture plus smartphone application groups.
- To identify factors influencing post-test scores in sample size calculation training.
- To assess participants' attitudes towards using a smartphone application for learning sample size calculation.
Main Methods:
- A cluster-randomized controlled trial was conducted across health institutes in Thailand.
- 673 professional participants were randomized into a control group (lecture only) and an intervention group (lecture plus smartphone application).
- Data were collected from October 2014 to March 2015, comparing post-test scores and attitudes.
Main Results:
- The intervention group demonstrated significantly better learning of sample size calculation (2.7 points) than the control group (1.6 points).
- Participants actively involved in research projects achieved higher post-test scores (0.9 points higher).
- A majority of participants reported a positive attitude towards using the smartphone application for learning.
Conclusions:
- Integrating smartphone applications into teaching sample size calculation enhances learning outcomes.
- Active engagement in research is associated with better comprehension of sample size principles.
- Smartphone applications are a promising tool for improving statistical education in health research.
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