Nursing Student Preference for Block Versus Nonblock Clinical Models
Bibliographic record
Abstract
BACKGROUND: Clinical experiences are essential in undergraduate nursing student education to develop professionalism and integrate theory into practice. However, little evidence is available to guide curricular planners in determining the appropriate and effective use of different clinical models in nursing education. METHOD: Nursing students and four schools of nursing in two western Canadian provinces participated in this descriptive exploratory study examining student preference for clinical models. Thematic analysis of qualitative data addressed two research questions: What type of clinical model is preferred by nursing students? and How does clinical structure influence nursing students' perceived learning? RESULTS: Nonblock clinical practice is preferred by students with respect to a balanced lifestyle, concurrent integration of theory and practice, and critical reflection, whereas the block model is preferred for assimilation, consolidation, and socialization. CONCLUSION: Integration of both clinical models is recommended within undergraduate nursing curricula, as each model can facilitate student learning. [J Nurs Educ. 2017;56(3):152-157.].
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".