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Record W4200079751 · doi:10.1097/nne.0000000000001141

A Transformative Learning Experience for Senior Nursing Students

2021· article· en· W4200079751 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 · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsMentorshipTransformative learningNurse educationMEDLINEAdult Learning

Abstract

fetched live from OpenAlex

BACKGROUND: Research suggests that clinical practicums in hospital-based settings are important, even if condensed, to provide students with the opportunity for real-world learning experiences. Rational dialogue makes learning meaningful and empowers students to learn by reflecting on experiences. PROBLEM: The COVID-19 pandemic minimized availability of traditional one-to-one mentorship practicums. APPROACH: This article describes the use of critical reflection on experiences in an undergraduate senior mentorship course to assess student learning through the thematic analysis of writing assignments. Guided by Mezirow's transformative learning theory, students completed a traditional group clinical practice, written reflective journals and virtual seminars focused on role development, and reflection on concurrent learning in clinical and simulation experiences. OUTCOMES: Transformative learning was evident in their writing. Student journals demonstrated themes of responding to change, discovering resilience, developing confidence, finding gratitude, embracing advocacy, and transforming and becoming. CONCLUSIONS: Through critical reflection, students recognized the opportunities mentorship afforded them, despite challenges.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.456

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.418
Teacher spread0.397 · 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