An Unfolding Case Study: Supporting Contextual Psychomotor Skill Development in Novice Nursing Students
Bibliographic record
Abstract
Background Nursing students learn psychomotor skills in the nursing lab, removed from the context of real patient care. As a result, students experience challenges linking client conditions with pertinent assessments and the performance of skills in the clinical setting. To address this gap, we created an unfolding case study for the nursing lab that provides context and supports students to use assessment and theory to guide skill performance in practice. Method Faculty and student focus groups were conducted to elicit feedback on the use of an unfolding case in the nursing lab with novice nursing students as they transition to clinical practice. Results Impacts that emerged from the faculty and student focus groups included knowledge synthesis, transferability to practice, and increased clinical competence. Conclusions The unfolding case study successfully supported students' transition to acute care practice. Both faculty and student participants expressed a desire for use of this dynamic method in all nursing lab courses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".