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Record W4403333344 · doi:10.1515/ijnes-2024-0035

Nursing students’ experience of a transformative approach to teaching cross cultural clinical decision making

2024· article· en· W4403333344 on OpenAlexaffabout
Carole Orchard, Marilyn K. Evans, Germaine Tuyisenge, Sibylle Ugirase, Yvonne Kasine, Benoite Umubyeyi, Pauline Uwajeneza

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsCollège BoréalSimon Fraser UniversityWestern University
Fundersnot available
KeywordsTransformative learningThematic analysisTeamworkHealth careNurse educationPsychologyNursingMedical educationCritical thinkingPedagogyQualitative researchMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVES: This study reveals the learning gained by Canadian and Rwandan nursing students from a course to enhance cross cultural clinical decision-making skills using a collaborative approach across two countries. METHODS: A qualitative descriptive study was conducted using thematic analysis. The study included analysis of end of course reflections of 94 students. RESULTS: Students became more open-minded, curious, strengthening teamwork, increasing their critical thinking, and identifying cross-cultural similarities in practice. They challenged their previous beliefs about others. CONCLUSIONS: Students achieved a transformation of previous knowledge and decision-making skills. Results indicate the value of underpinning courses with theories and being open in allowing students to develop their own means to achieve expected learning outcomes. IMPLICATIONS FOR AN INTERNATIONAL AUDIENCE: Creating learning environments designed to stimulate open mindedness and exploration of cultures among students can be achieved through online learning. Providing opportunities for students to learn across other countries about their nursing practices and health systems are critical to understanding how future patients who are immigrants and refugees from other countries differing perspectives to their health care needs.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.190
GPT teacher head0.615
Teacher spread0.425 · 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 designQualitative
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

Citations1
Published2024
Admission routes2
Has abstractyes

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