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Record W1553483274 · doi:10.21225/d5r592

Perceptions of Writing Confidence, Critical Thinking, and Writing Competence among Registered Nurse-Learners Studying Online

2008· article· en· W1553483274 on OpenAlexaffvenueabout
Lorraine Carter

Bibliographic record

VenueCanadian Journal of University Continuing Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCritical thinkingCompetence (human resources)PsychologyPerceptionNurse educatorMedical educationPedagogyMathematics educationNurse educationMedicineSocial psychology

Abstract

fetched live from OpenAlex

Historically, nursing education has recognized that writing enhances critical thinking, the basis of the clinical reasoning process. The online learning recently adopted by Nursing involves considerable writing, which may enhance critical thinking more than face-to-face courses. In the study reported here, the critical thinking and writing experiences of 34 registered nurses in an online course at an Ontario university were considered from several perspectives: perception of writing competence; demonstration of levels and kinds of critical thinking; and demonstration of writing competence. Although the participants’ perceptions of their writing competence increased significantly, these results were not reflected in their levels of writing competence when compared to that of younger nurse-learners and students in an Arts course at the university. The study did not demonstrate that online writing results in different levels of critical thinking; it did, however, suggest a connection between and among online writing, different kinds of critical thinking, and assignment design.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.301
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2008
Admission routes3
Has abstractyes

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Same venueCanadian Journal of University Continuing EducationSame topicEducation and Critical Thinking DevelopmentFrench-language works237,207