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Record W4392875320 · doi:10.1016/j.teln.2024.02.016

From acting to simulation: Contributions of theatre students to healthcare simulation

2024· article· en· W4392875320 on OpenAlexaff
Jaime Alonso Caravaca‐Morera, Hanna Sanabria-Barahona, Maria Lí­gia dos Reis Bellaguarda, María Itayra Padilha, Amina Silva

Bibliographic record

VenueTeaching and learning in nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsBrock University
Fundersnot available
KeywordsHealth carePsychologyMedical educationMedicinePolitical science

Abstract

fetched live from OpenAlex

The use of student theaters as simulated patients (SP) can improve the learning process, but studies on the SP methodology in Costa Rica are limited. Thus, this study investigated the contribution of theatre students as SP, as perceived by faculty and nursing students. This study used the action-research framework and the data collection included observational data and qualitative interviews. The data were analyzed through three phases: pre-analysis, exploration of the material, and treatment/interpretation. Participants included 20 undergraduate nursing students and eight faculty members. The involvement of actors in the simulation increased the psychological fidelity and realism of the simulation, leading to deeper experiential training. Therefore, the inclusion of theater students as SP with acting training in nursing undergraduate or postgraduate courses can be an effective strategy to promote emancipatory learning and has potential for developing critical-reflective thinking skills when used in a constructivist pedagogical practice.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.467
Teacher spread0.438 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations5
Published2024
Admission routes1
Has abstractyes

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