Abstract
Effective clinical nursing instructors are essential to maximizing the educational experience of nursing students. Due to a shortage of clinical placement sites and advancements in technology, today's nursing students are increasingly learning clinical judgment and decision making in the simulated clinical experience (SCE) with human patient simulators. In this environment, SCE instructors assist students to acquire knowledge and skill in decision-making in a controlled, risk free, hospital-type clinical environment.
Sigma Membership
Zeta Eta at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Pilot/Exploratory Study
Keywords:
Nursing Education, Cognitive Apprentice, Nursing Students, Nursing Clinical Teaching Effectiveness Inventory, Simulation Experiences
Advisor
Susan Evans
Second Advisor
Mathew Mitchell
Third Advisor
Susan Prion
Degree
Doctoral-Other
Degree Grantor
University of San Francisco
Degree Year
2009
Recommended Citation
Parsh, Bridget K., "Nursing student and faculty perceptions of the characteristics of effective instructors in the simulated clinical experience" (2022). Dissertations. 855.
https://www.sigmarepository.org/dissertations/855
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2022-02-17
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3362369; ProQuest document ID: 305177219. The author still retains copyright.