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Record W1986509897 · doi:10.2202/1548-923x.1646

Employer Perceptions of Knowledge, Competency, and Professionalism of Baccalaureate Nursing Graduates from a Problem-Based Program

2009· article· en· W1986509897 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

VenueInternational Journal of Nursing Education Scholarship · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsProblem-based learningPerceptionMedical educationNursingFocus groupMedicineProfessional developmentNurse educationPsychologySociology

Abstract

fetched live from OpenAlex

Employer evaluation of graduates is a critical component of professional program evaluation and contributes a viewpoint rarely reported in the literature. It has been proposed that Problem-Based Learning (PBL) enhances knowledge acquisition, clinical competency and professional behavior. Students assume the role of a registered nurse as they work through real practice scenarios on a daily basis in the classroom. The purpose of this study was to explore employer perceptions of graduates' knowledge, competency and professionalism, following completion of a PBL program. Nurse employers (N=53) participated in 10 focus group discussions. Four main themes were derived from employer descriptions of their experience with PBL graduates: still rough around the edges, we want them to succeed, a new generation of practitioner, and potential to lead the profession into the future. Please add what the implications of these findings are to nursing education.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.074
GPT teacher head0.470
Teacher spread0.396 · 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