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Multistation exercises: a combination of problem-based learning and team-based learning instructional design for
Nikhilesh Singh1, Richa Gupta1, V N Mahalakshmi2
1Department of Physiology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Pondicherry , India.
Advances in Physiology Education
|July 5, 2018
Summary
This study combined problem-based learning and team-based learning for active learning in large groups. The new strategy significantly improved student academic performance compared to traditional methods.
Area of Science:
- Medical Education
- Pedagogy
Background:
- Large group active learning sessions require innovative strategies to maintain engagement and effectiveness.
- Traditional lecture formats often fall short in fostering deep understanding for large student cohorts.
Purpose of the Study:
- To implement and evaluate a structured active learning strategy combining problem-based learning (PBL) and team-based learning (TBL) for a large group of 250 medical students.
- To reduce faculty involvement while enhancing student learning outcomes in a large-scale educational setting.
Main Methods:
- A hybrid PBL/TBL approach was employed using a case study on anemia.
- Students (n=250) were divided into facilitated groups, rotating through structured exercises, with smaller subgroups formed at each station.
- Effectiveness was assessed by comparing academic performance with a non-intervention group from the previous year.
Main Results:
- The intervention group demonstrated significantly higher academic performance on related items compared to the non-intervention group.
- Performance improvements were observed in the average and higher academic quartiles.
- The lower academic quartile did not show a significant improvement with this active learning strategy.
Conclusions:
- The combined PBL/TBL structured active learning strategy is effective in improving academic performance for average and high-achieving students in large cohorts.
- Further refinement may be needed to address learning gaps in lower-achieving student groups.
- This model offers a scalable solution for active learning in large medical education classes with reduced faculty dependency.
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