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Record W2884102809 · doi:10.1097/nne.0000000000000569

Nursing Students’ Perceptions of Skills Learning

2018· article· en· W2884102809 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNurse Educator · 2018
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsPsychomotor learningPerceptionPsychologyNurse educationNurse educatorNursingCognitionCognitive skillMedical educationMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Deliberate practice (DP) and cognitive load theory have renewed educators' interest in effective psychomotor skills teaching. PURPOSE: The purpose of this research was to explore how prelicensure nursing students learned psychomotor skills. METHODS: Nine senior nursing students participated in this phenomenological study to capture how they experienced learning nursing skills. Colaizzi's method was used to analyze in-depth interviews of open-ended questions. RESULTS: Six themes emerged: (a) the umbrella of emotion, (b) practice, (c) learning through technology, (d) fidelity affects learning, (e) teaching matters, and (f) importance of peers. Students found creative ways to learn nursing skills. Research findings contributed to a greater understanding of student experiences in gaining competency in nursing skills. CONCLUSIONS: Participants used aspects of DP, cognitive load theory, and technology to learn skills. These findings provide current information to nurse educators about skills learning and recommendations for effective skills teaching.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0110.003

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 head0.017
GPT teacher head0.428
Teacher spread0.411 · 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