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Record W2170989019 · doi:10.5430/jnep.v4n7p175

Constructing and evaluating a nursing capstone course for cultivating creativity in RN-BSN students in Taiwan

2014· article· en· W2170989019 on OpenAlexvenueno aff
Ya‐Lie Ku, Pei-Yu Lee, Man-Hua Shen, Chien‐Lin Kuo

Bibliographic record

VenueJournal of Nursing Education and Practice · 2014
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsCreativityCapstoneMedical educationCapstone courseTest (biology)Nurse educationAccreditationNursingPsychologyMedicineCurriculumPedagogyComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to construct and evaluate a nursing capstone course designed to cultivate creativity in RN-BSN students. The pre-post study design was used in a one-group of RN-BSN students who enrolled in a nursing capstone course. This pilot study was conducted under the auspices of NSC research grant 101-2511-S- 242-002, IRB protocol number FYH-IRB-101-07-01-A. The nursing capstone project course lasted for 18 weeks was taught for 2 hr /week, and involved 6 mainstream methods, and 5 major assessment criteria. The 8 RN-BSN students’ self-perceived abilities of creativity in this pilot study showed statistically significant improvement after completing the nursing capstone project course ( p < .01), but their characteristics, abilities, and motivation for creativity were unaffected. However, the measured barriers to creativity among 8 RN-BSN students decreased substantially from the pre-to the post test ( p < .05). Moreover, 9 RN-BSN students provided positive feedbacks about their learning experiences. Finally, the 9 RN-BSN students in the nursing capstone project course were developed two nursing products named as Anti-Needlestick Treasure Box and Comfortable Catheter Stickers, which have participated in the creative competition activities.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
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 integrity0.0000.000
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 head0.157
GPT teacher head0.579
Teacher spread0.422 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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