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Record W1794934119 · doi:10.5430/jnep.v5n9p54

EPortfolio and learning styles in clinical nursing education

2015· article· en· W1794934119 on OpenAlexvenueno aff
Kirsten Nielsen, Birthe D. Pedersen, Niels Henrik Helms

Bibliographic record

VenueJournal of Nursing Education and Practice · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsNursingLearning stylesPsychologyMedical educationMedicinePedagogy

Abstract

fetched live from OpenAlex

This study reports the use of electronic portfolio in clinical nursing education. The study is part of a larger study investigating learning mediated by ePortfolio. The method takes a phenomenological-hermeneutic approach. The setting was a ten-week clinical course in basic nursing. The participants were 11 first-year students randomly selected. Data were generated by participant observations, interviews and portfolio documents. Findings showed that the ePortfolio was used individually and mostly at home. Using ePortfolio in the ward is more time-consuming. The ePortfolio was used to reflect on practice and one's own learning process. The principal initiators were emotional involvement in clinical nursing, consciousness of learning through writing; ponder over practice, and a confident and constructive student-preceptor relationship. Inhibitors were vulnerability, a preconception that one learns only in one way, lack of supervision about how to learn. The study showed some but not unambiguous connection between preferred learning styles and ePortfolio use.

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)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
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 head0.196
GPT teacher head0.588
Teacher spread0.392 · 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 designOther design
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

Citations8
Published2015
Admission routes1
Has abstractyes

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