Clinical Nurse Instructor Competencies: An Exploratory Study of Role Requirements
Bibliographic record
Abstract
Background: Baccalaureate nursing education consists of theoretical and practical training that prepares students for the role of competent nursing care providers. The practical application of knowledge and skills is vital in nursing curricula worldwide. Nursing programs have changed over the last few decades and have become increasingly dependent on part-time Clinical Instructors (CIs) to teach the clinical components of the curricula. However, CIs receive minimal instruction to prepare for this complex role. It has been acknowledged in Canada that there is limited research to inform CI specific competencies. Purpose: The purpose of this research was to conduct an exploratory study to identify the CIs perceptions of the importance of the World Health Organization’s (WHO) nurse educator core competencies and their importance to the clinical teaching role. Methodology: This was an exploratory quantitative study. A self-report survey was developed guided by the WHOs Nurse Educator Core Competencies (NECC). Donabedian’s structure-process-outcome conceptual framework guided this study. Sample and setting: Convenience sampling of participants employed as CIs in a baccalaureate in nursing program in an Ontario university. CIs who taught theory courses were excluded. The survey response rate was 23.9% (n=27). Results: The study results confirm that all the NECC have merit but need to be adapted to a CI-specific role. This is a multi-phased research project and the findings of the study have implications for all stakeholders, including schools of nursing and CIs. Ongoing research is required to inform the policy direction as it pertains to the CI-specific role and competencies in Canada. Implications for nursing programs, research and policy will be shared. Conclusions: Clinical Instruction is an area of nursing which deserves to be acknowledged as a specialty. National standardized CI-specific competencies will provide a strong foundation for CI preparation in Canada. Contexte : Le baccalauréat en sciences infirmières comprend des cours théoriques et pratiques préparant les étudiantes au rôle de professionnelles compétentes en soins de santé. Dans les programmes d’études en sciences infirmières partout dans le monde, l’application pratique des connaissances et habiletés est essentielle. Les programmes de sciences infirmières se sont transformés au cours des dernières décennies, dépendant de plus en plus des enseignantes de clinique (Clinical Instructors; CI), à temps partiel, pour le volet pratique du programme d’études. Ces enseignantes reçoivent toutefois très peu de soutien pour les préparer à jouer ce rôle complexe. Au Canada, il a été reconnu que peu de recherches renseignent sur les compétences
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".