Evidence map›Paper›PMID 39399385›Full record

ArticleAdvances in medical education and practice2024

Fostering TBL Success at Alfaisal University: A Complex Adaptive Systems Approach.

Sadia Qazi, Muhammad Atif Mazhar, Abdul Ahad Shaikh, Abdul Jabar Rasool, Kanza Atif, Akef Obeidat

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sadia QaziAnatomy Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID 0009-0009-9275-8022
Muhammad Atif MazharAnatomy Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID 0009-0007-1588-3909
Abdul Ahad ShaikhPhysiology Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID 0000-0002-3035-629X
Abdul Jabar RasoolPhysiology Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Kanza AtifCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID 0000-0003-4868-0220
Akef ObeidatAnatomy Department, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID 0000-0002-4666-5118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the implementation of Team-Based Learning (TBL) at Alfaisal University's College of Medicine through the lens of Complex Adaptive Systems (CAS) theory. The research question investigates how the application of CAS principles can enhance the implementation and effectiveness of TBL in medical education. The study employed a convergent parallel mixed methods longitudinal design, integrating quantitative performance metrics and qualitative themes. Quantitative analysis revealed modest improvements in individual and team-based learning scores, with a promising trend of students moving from the lower to the higher quartiles over time. Qualitative insights aligned with CAS principles, highlighting the adaptive implementation, emergent outcomes, self-organization, positive feedback loops, and depth of learning facilitated by TBL. The findings demonstrate the value of a CAS-informed approach in navigating the complexities of educational change and fostering a more resilient and adaptive educational model. The study contributes to the understanding of how CAS theory can guide the successful implementation of innovative pedagogies like TBL in medical education.

Indexed as

adaptive implementationeducational changeemergent behaviorsfeedback loopsself-organization

Identifiers

PMID39399385
PMCPMC11470205

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.