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Record W4415819917 · doi:10.1371/journal.pgph.0002792

Using a World Health Assembly simulation to explore undergraduate students’ perceptions and confidence in analyzing complex global health challenges: A mixed-methods evaluation

2025· article· en· W4415819917 on OpenAlexafffund
Ahmad Firas Khalid, Megan A. George, Clarissa Eggen, Aaranee Sritharan, Faiza Wali, A. M. Viens

Bibliographic record

VenuePLOS Global Public Health · 2025
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsCentre for Global Health ResearchUniversity of TorontoYork University
FundersYork University
KeywordsSnowball samplingExperiential learningGlobal healthQualitative propertyFeelingQualitative researchPerceptionData collectionPublic health

Abstract

fetched live from OpenAlex

Traditional didactic teaching approaches fall short of adequately supporting diverse student learning styles. Complementing didactic teaching approaches with simulation-based experiential learning can bridge the gap between theoretical knowledge and practical application. However, few studies have rigorously examined the outcomes of this approach in global health education and training. This study describes participants' self-reported experiences with the World Health Assembly Simulation (WHA SIM), a complex hybrid simulation consisting of a three-day educational exercise, including a tabletop exercise followed by live-action role play, designed to simulate practical global health governance settings. We conducted a descriptive, sequential exploratory study between September 2022 and July 2023, beginning with an anonymous pre-simulation survey among undergraduate students in the Faculty of Health at York University, followed by qualitative post-simulation interviews. The survey included questions on participants' background, comfort, and confidence in key practice skills and experiences with simulation-based learning. Data was analyzed using simple descriptive statistics for the quantitative data and a framework analysis for qualitative data. Among 39 survey respondents, 18 were interviewed. Participants for interviews were selected through snowball sampling to ensure diverse perspectives. Participants reported feeling more confident in a range of skills, including research capabilities, critical analysis, time management, and organizational effectiveness. They also described increased confidence in interpersonal communication, public speaking, networking, collaboration, and leadership. Several participants reflected on gaining a deeper appreciation of complex global health issues and noted the simulation provided valuable career-relevant insights. Findings highlight the value of simulation-based experiential learning as perceived by undergraduate students in health and science-related degree programs. While this study does not objectively measure knowledge acquisition or skill mastery, it illustrates how the WHA SIM can support confidence and reflective learning in global health education and training contexts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.431
GPT teacher head0.589
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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