Virtual Health Assessment Laboratory Course Delivery and Nursing Student Clinical Judgment
Bibliographic record
Abstract
BACKGROUND: It is essential to explore virtual learning experiences to identify their impact on nursing students' learning. PURPOSE: The purpose of this study was to investigate the relationship between the virtual delivery of a health assessment laboratory course and nursing students' clinical judgment. METHODS: Using a mixed-methods explanatory sequential design, the investigators appraised the final laboratory examinations of both in-person and virtual delivery cohorts using the Lasater Clinical Judgment Rubric (LCJR) and then interviewed faculty members. RESULTS: The LCJR total mean scores (mean = 10.64) and mean scores for Effective Noticing (mean = 3.48) were higher for the virtual delivery students. The faculty reported that virtual delivery advances students' critical appraisal skills related to subjective assessment but advocated for in-person delivery to develop physical examination techniques. CONCLUSION: Although the mean clinical judgment scores were higher for the students whose course delivery was virtual, in-person experiences are necessary to develop psychomotor techniques to prepare students for clinical practice.
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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 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".