Exploring the Feasibility, Acceptability and Satisfaction of a Virtual Peer Mentoring Program for Undergraduate Nursing Students: A Mixed-Methods Study
Bibliographic record
Abstract
Final-year nursing students are known to face high levels of stress due to increased demands in academics and clinical practicum. In this study, a virtual peer mentoring program was pilot-tested, involving alumni as mentors. Using a mixed-methods approach, we sought to describe the acceptability, feasibility and satisfaction associated with the intervention. Study intervention involved: a) orientation, b) mindful self-compassion training workshop, and c) virtual mentorship interactions for nine months. Evaluation of study variables was done at the completion of training and at the end of the virtual peer mentoring program via self-reported questionnaires and interviews. The current virtual peer mentoring intervention was deemed acceptable, feasible and satisfactory to mitigate challenges for final-year nursing students. The virtual component of the study was considered to be convenient and appropriate, however, future mentoring interventions could be more effective by employing a form of mixed-contact involving both virtual and in-person interactions.
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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 | 0.019 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".