The relationship between undergraduate nursing students' satisfaction about clinical learning environment and their competency self-efficacy
Notice bibliographique
Résumé
Competency self-efficacy (CSE) in clinical nursing practice is necessitated to be attained by the undergraduate nursing students. It is a significant indicator of the work's acceptance and commitment to nursing roles. Self-efficacy in nursing experience enhances nursing student's abilities to achieve the clinical tasks independently, mainly in wide range field of care like Medical-Surgical Nursing. Some factors are affecting competency self-efficacy in the clinical nursing practice; the most evident factor is the nursing student’s impressions with their clinical learning environment (CLE). In the light of educational preparation for nursing undergraduates, the Faculties of Nursing emphasize to preserve a high quality of clinical learning environment for clinical nursing essentials. The clinical learning environment has an apparent function in building up students' confidence, and competency self-efficacy, particularly, during clinical skills achievement. The current paper aimed to determine undergraduate nursing student's satisfaction about the clinical learning environment and their competency self-efficacy, and then investigate the relationship between both variables. Thus, the study conducted through a descriptive, correlative research design with all nursing students who enrolled in third and fourth academic semesters (second year) during their clinical training in Medical-Surgical Nursing course, Faculty of Nursing, Alexandria University, Egypt. A triple-section questionnaire was used for data collection: First; nursing student’s sociodemographic profile, Second: Clinical Learning Environment Inventory (CLEI) which was constructed by Chan in 2002. Third: Nursing Competency Self Efficacy Scale (CSES) which was developed by Kennedy in 2013. The results showed that the undergraduate nursing students at Medical-Surgical training, Faculty of Nursing, Alexandria University, have a high satisfaction level about the clinical learning environment concerning all components of the clinical placement. As well, they have a high competency self-efficacy level in all nursing activities and tasks in the clinical training. Further, there is an obvious parallel correlation between nursing student's satisfaction about clinical learning environment and their competency self-efficacy which is significant. Conclusion & Recommendations: Adequate and planned arrangements should be settled in the nursing curricula for the nursing clinical training setting. Too, the clinical instructors should encourage students' trials to do difficult nursing tasks in a successful manner which tends to increase the student's competency self-efficacy. Further researches are required to investigate the factors affecting clinical learning environment satisfaction and competency self-efficacy among nursing students in their clinical placement. Additionally, another research is necessary about; developing an educational program about student's competency self-efficacy to guide nursing instructors in clinical training.
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Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».