MétaCan
Menu
Back to cohort
Record W7132792858

Klinik Senaryo Eşliğinde Giyilebilir Simülatör ile Yapılan Simülasyon Uygulamasının Empati Düzeyine Etkisi

2022· article· tr· W7132792858 on OpenAlexaboutno aff
Hediye Karakoç, Şerife İrem Döner, Büşra Duran

Bibliographic record

VenueKTO Karatay University Institutional Archive · 2022
Typearticle
Languagetr
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Neurological disorderIrritabilityCentral nervous system disease
DOInot available

Abstract

fetched live from OpenAlex

Amaç: Giyilebilir Simüle Annelik Modeli deneyiminin öğrencilerin empati, öz etkililik-yeterlilik düzeyine etkisini incelemek amacıyla yapılmıştır. Yöntem: Araştırma tek grup, ön test-son test yarı deneysel araştırma tasarımında 54 öğrenci ile yapılmıştır. Veriler, araştırmacılar tarafından hazırlanan tanıtıcı bilgi formu, Toronto Empati Ölçeği, Öz Etkililik-Yeterlilik Ölçeği ile toplanmıştır. Simülasyon uygulaması 4’er kişilik (1 ebe, 1 gebe, 2 gözlemci) öğrenci grupları eşliğinde, 4 adet klinik senaryo olmak üzere ön bilgilendirme (10 dk), simülasyon (10 dk) ve çözümleme (20 dk) oturumlarından oluşmaktadır. Bulgular: Katılımcıların yaş ortalaması 20.22 ± 1.00 olup %92.6’sı bölümü isteyerek tercih etmiştir. Giyilebilir Simüle Annelik Modeli deneyiminin empati (p ≤ 0.001), davranışı tamamlama (p ≤ 0.001) ön test ve son test puan ortalamaları bakımından anlamlı farklılık gösterdiği belirlenmiştir. Sonuç: Araştırmada Giyilebilir Simüle Annelik Modeli deneyiminin öğrencilerin empati ve davranışı tamamlama düzeyini artırdığı belirlenmiştir.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.025
GPT teacher head0.270
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueKTO Karatay University Institutional ArchiveSame topicSimulation-Based Education in HealthcareFrench-language works237,207