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A meta-analysis of students' readiness assurance test performance with team-based learning
Phan Nguyen Ngoc1, Chao-Ling Cheng2, Yen-Kuang Lin3
1International Master's Program in Health Care Administration, College of Management, Taipei Medical University, Taipei, Taiwan.
Team-based learning (TBL) in medical education shows group readiness assurance tests (GRATs) yield higher scores than individual readiness assurance tests (IRATs). This highlights effective collaboration, particularly among nursing students.
Area of Science:
- Medical Education
- Health Professions Education
- Educational Psychology
Background:
- Team-based learning (TBL) is a pedagogical approach used in medical fields for small group discussions.
- The readiness assurance test (RAT) is a key component distinguishing TBL from problem-based learning (PBL).
- Limited research exists on the differences between group RAT (GRAT) and individual RAT (IRAT) in medical TBL.
Purpose of the Study:
- To conduct a meta-analysis examining learner performance in GRAT versus IRAT within TBL for healthcare professions students.
- To compare group and individual assessment scores in TBL settings.
Main Methods:
- A systematic literature search was conducted in databases such as PubMed and Cochrane.
- Included studies underwent quality assessment.
- A meta-analysis was performed to synthesize the findings from the selected studies.
Main Results:
- Eleven studies involving 1575 participants were analyzed, with study quality scores ranging from 4 to 7.
- Mean GRAT scores were significantly higher than mean IRAT scores (SMD = 2.027, p < 0.001).
- A nursing-only subgroup demonstrated significantly higher GRAT performance compared to IRAT (SMD = 2.3), explaining overall heterogeneity.
Conclusions:
- Students consistently achieve higher scores on GRAT compared to IRAT in TBL.
- The superior performance in GRAT, especially within the nursing student subgroup, suggests effective teamwork and collaboration.
- Further meta-regression was not possible due to insufficient data on moderating factors like age and intervention duration.
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