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Record W4402567976 · doi:10.29173/jpnep40

The implementation and evaluation of a mock trial using a flipped classroom pedagogy in practical nursing education.

2024· article· en· W4402567976 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

VenueJournal of Practical Nurse Education and Practice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsBow Valley College
Fundersnot available
KeywordsThematic analysisClass (philosophy)NursingNurse educationPsychologyFlipped classroomMedical educationData collectionMedicineQualitative researchMathematics educationComputer scienceSociology

Abstract

fetched live from OpenAlex

Background: This quality improvement study explores the implementation and evaluation of a mock trial within a flipped classroom pedagogy to help first-year practical nursing learners meet the class objectives. Methods: Sixty-two (N=62) practical nursing learners participated in a mock trial as part of their first year Nursing Arts course at Bow Valley College in July 2022. The mock trial was evaluated using qualitative and quantitative data collection. Results: The thematic analysis suggested that a mock trial using a flipped classroom pedagogy may be an effective way of teaching course objectives. The learners reported a moderate to high level of confidence in managing challenging situations after participating in the mock trial. Conclusions: The study highlights the potential benefits of incorporating a mock trial using a flipped classroom pedagogy in practical 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)0.030
metaresearch head score (Gemma)0.044
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.044
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.219
GPT teacher head0.671
Teacher spread0.452 · 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