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Record W2611988902 · doi:10.17483/2368-6669.1088

Baccalaureate Program Evaluation, Preceptors, And Closing The Theory-Practice Gap: Is There A Connection?

2017· article· en· W2611988902 on OpenAlexaffvenue
Catherine Thibeault

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsTrent University
Fundersnot available
KeywordsPreceptorCurriculumMedical educationObjectivismCornerstoneCitizen journalismStakeholderNursingPedagogyNurse educationMedicinePsychologyEngineering ethicsPolitical scienceEngineeringPublic relations

Abstract

fetched live from OpenAlex

Curriculum evaluation and renewal is a cornerstone of nursing education. Systematic program evaluation in baccalaureate nursing education relies on feedback from a wide variety of stakeholders. Clinical preceptors represent an underutilized stakeholder group. Situated in both clinical practice and clinical education, preceptors have a unique and valuable perspective on the ability of the curriculum to prepare pre-licensure learners for professional practice. The author suggests that preceptor-stakeholders can be actively engaged in program evaluation: this kind of engagement relies on a paradigm shift from predominantly objectivist evaluation strategies to approaches that are more participatory and pluralistic. Readers will identify the significant role of clinical nursing preceptors as key stakeholders in BScN curriculum evaluation. Further, the author speculates that a pluralistic evaluation paradigm may help both nursing faculty and nurses in clinical practice understand the perspective of the other group, thus reducing the perceived theory-practice gap and creating more responsive baccalaureate nursing curricula.

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)0.258
metaresearch head score (Gemma)0.393
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.258
Threshold uncertainty score0.915

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2580.393
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0040.028
Scholarly communication0.0220.017
Open science0.0020.010
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.204
GPT teacher head0.573
Teacher spread0.369 · 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.

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

Citations6
Published2017
Admission routes2
Has abstractyes

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Same venueQuality Advancement in Nursing Education - Avancées en formation infirmièreSame topicEvaluation and Performance AssessmentFrench-language works237,207