The purpose of this study is to describe how supervisors experience supporting nursing students' learning in pairs on a Developing and Learning Care Unit in Sweden. The present study has been carried out with a Reflective Lifeworld Research (RLR) approach founded on phenomenology. A total of 25 lifeworld interviews were conducted with supervisors who had supervised pairs of students. The findings reveal how supervisors support students' learning in pairs through a reflective approach creating learning space in the encounter with patients, students and supervisors. Supervisors experience a movement that resembles balancing between providing support in learning together and individual learning. The findings also highlight the challenge in supporting both the pairs of students and being present in the reality of caring. In conclusion, the learning space has the potential of creating a relative level of independency in the interaction between pairs of students and their supervisor when the supervisor strives towards a reflective approach.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.nepr.2017.06.002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating student understanding of pharmacodynamics core concepts.
Eur J Pharmacol
January 2025
Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Australia. Electronic address:
Pharmacodynamics is an essential subdiscipline of pharmacology that underpins safe and effective prescribing and therapeutic decision-making, as well as drug discovery and development. The exponential increase in the number of therapeutic drugs has prompted members of the pharmacology educator community to question existing pharmacology curricula focused on individual drugs and move toward a curriculum focused on conceptual understanding. A first step towards conceptual understanding is to establish what students currently know about pharmacodynamic core concepts.
View Article and Find Full Text PDFLongitudinal Twin Growth Discordance Patterns and Adverse Perinatal Outcomes.
Am J Obstet Gynecol
January 2025
Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, United Kingdom; Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom; Twin and Multiple Pregnancy Centre for Research and Clinical Excellence, St George's University Hospital, St George's University of London, London, UK; Fetal Medicine Unit, Liverpool Women's Hospital, Liverpool, United Kingdom. Electronic address:
Objective: The objective of this study was to conduct a longitudinal assessment of inter-twin growth and Doppler discordance, to identify possible distinct patterns, and to investigate the predictive value of longitudinal discordance patterns for adverse perinatal outcomes in twin pregnancies.
Methods: This retrospective cohort study included twin pregnancies followed and delivered at a tertiary University Hospital in London (UK), between 2010 and 2023. We included pregnancies with at least three ultrasound assessments after 18 weeks and delivery after 34 weeks' gestation.
Sound-symbol learning and the relationship to spelling in first-grade children.
J Exp Child Psychol
January 2025
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, 80336 München, Germany.
Early spelling depends on the ability to understand the alphabetic principle and to translate speech sounds into visual symbols (letters). Thus, the ability to associate sound-symbol pairs might be an important predictor of spelling development. Here, we examined the relation between sound-symbol learning (SSL) and early spelling skills.
View Article and Find Full Text PDFPredicting early cessation of exclusive breastfeeding using machine learning techniques.
PLoS One
January 2025
Department of Pediatrics, Copenhagen University Hospital-North Zealand, Hillerød, Denmark.
Background: Identification of mother-infant pairs predisposed to early cessation of exclusive breastfeeding is important for delivering targeted support. Machine learning techniques enable development of transparent prediction models that enhance clinical applicability. We aimed to develop and validate two models to predict cessation of exclusive breastfeeding within one month among infants born after 35 weeks gestation using machine learning techniques.
View Article and Find Full Text PDFA dataset and benchmark for hospital course summarization with adapted large language models.
J Am Med Inform Assoc
December 2024
Department of Radiology, Stanford University, Stanford, CA 94304, United States.
Objective: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare applications such as synthesizing BHCs from clinical notes have not been shown. We introduce a novel preprocessed dataset, the MIMIC-IV-BHC, encapsulating clinical note and BHC pairs to adapt LLMs for BHC synthesis.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!