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Record W1992099544 · doi:10.5539/gjhs.v7n2p351

Nursing Students’ Views of Nursing Education Quality: A Qualitative Study

2015· article· en· W1992099544 on OpenAlexvenueno aff
Fatihe Kermansaravi, Ali Navidian, Fariba Yaghoubinia

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsViewpointsNursingNonprobability samplingNurse educationQualitative researchContent analysisFocus groupQuality (philosophy)MedicinePsychologyMedical educationPopulationSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Nursing education is currently facing challenges related to the application of nursing knowledge in clinical environments and inability of students in application of nursing procedures in clinical settings. Nursing students themselves represent the best means of identifying these challenges. This study was conducted aimed to understand the nursing students' viewpoints and experiences concerning the challenges and deficiencies of the nursing education system. METHODS: This qualitative study that has been carried out adopting conventional qualitative content analysis approach, 40 senior nursing students with sufficient experience of educational situations participated through purposive sampling. Eight focus group discussions were done with volunteer nursing students from School of Nursing and Midwifery in Zahedan (Iran). All of the interviews and discussions were recorded and then analyzed using the conventional content analysis approach. RESULTS: Three themes were emerged from data analysis including theoretical education, clinical skills, and the gap between theoretical education and clinical skills. CONCLUSIONS: The students' views and experiences of nursing education quality (theoretical, clinical, and the gap between theoretical education and clinical skills) demonstrated a need to pay careful attention to the selection and recruitment of clinical teachers, and the assessment and control of their educational performance and clinical skills, as well as to determination of standards and validation of education quality.

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)0.010
metaresearch head score (Gemma)0.000
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 score0.590
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.221
GPT teacher head0.593
Teacher spread0.371 · 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

Citations53
Published2015
Admission routes1
Has abstractyes

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