The aim of this is paper is to propose Benner's "Novice to Expert" Framework to underpin learning for students as they progress through the clinical components of an undergraduate nursing educational program. Steinaker and Bell's "Experiential Taxonomy" is presented as a practical medium for itemizing the nursing activities novices are exposed to at the initiation of clinical experience and to the clinical competencies expected of nurses on completion of their educational program. The authors also propose a range of theories of learning applicable to the clinical education of undergraduate nursing students, which can be maximized to enhance clinical learning.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0894318419898167DOI Listing

Publication Analysis

Top Keywords

undergraduate nursing
12
framework underpin
8
clinical learning
8
nursing students
8
educational program
8
clinical
6
theoretical framework
4
underpin clinical
4
learning
4
learning undergraduate
4

Similar Publications

There is emerging evidence that sea swimming can have a positive impact on the mental health of adults. Less is known about how this intervention can impact young people's mental health. The aim of this study was to explore young service users and staff's perspectives on sea swimming in the child and adolescent mental health services.

View Article and Find Full Text PDF

Objective: To evaluate the effectiveness of integrating GASMAN anesthesia simulation software with case-based learning (IGC) compared to traditional lecture-based learning (LBL) in teaching inhalation anesthesia to undergraduate anesthesiology students.

Methods: Fourth-year students from two academic years (2022, = 110; 2023, = 131) enrolled in a five-year anesthesiology program were assigned to either traditional lecture-based learning (LBL) or IGC groups. The LBL group received traditional lectures using PowerPoint slides, while the IGC group engaged with GASMAN anesthesia simulation software (a tool designed for anesthesia simulation and gas monitoring) combined with case-based learning.

View Article and Find Full Text PDF

Objectives: In 2003, the Institute of Medicine released the report , in which the authors recommended that "all undergraduates have access to education in public health." The objective of this study was to explore the current status of that recommendation in public institutions in the United States with schools or programs accredited by the Council on Education for Public Health (CEPH).

Methods: We used a systematic qualitative content analysis approach, specifically a manifest analysis strategy, focusing on data that were available, tangible, and observable.

View Article and Find Full Text PDF

Health profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study.

BMC Med Educ

January 2025

Department of Nursing Sciences, Faculty of Medical and Health Sciences, The Stanley Steyer School of Health Professions, Tel Aviv University, Tel Aviv, Israel.

Objective: The aim of this study was to investigate the perceptions of health profession students regarding ChatGPT use and the potential impact of integrating ChatGPT in healthcare and education.

Background: Artificial Intelligence is increasingly utilized in medical education and clinical profession training. However, since its introduction, ChatGPT remains relatively unexplored in terms of health profession students' acceptance of its use in education and practice.

View Article and Find Full Text PDF

Introduction: Gaining clinical judgment competence among student nurses is a significant outcome of nursing education. In this education process, an assessment tool based on observable behaviors is needed for evaluating students' clinical judgment skills.

Objective: This study aimed to evaluate the validity and reliability of the Turkish version of the Lasater Clinical Judgment Rubric, which assesses student nurses' stages of clinical judgment competency in simulation-based education.

View Article and Find Full Text PDF

Want 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!