Abstract

High fidelity simulation has become a widespread and costly learning strategy in nursing education because it can fill the gap left by a shortage of clinical sites. In addition, high fidelity simulation is an active learning strategy that is thought to increase higher order thinking such as clinical reasoning and judgment skills in nursing students. Nursing educators who utilize curriculum planned high fidelity simulation activities measure simulation learning outcomes with various instruments. However, few can quantify learning in nursing students due to high fidelity simulation and most are not supported by a theory of learning. This methodological study sought to test the psychometric properties of a new instrument ”the Simulation Thinking Rubric." The purpose of the rubric was to assess higher order thinking during high fidelity simulation.

Description

This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3555113; ProQuest document ID: 1318673209. The author still retains copyright.

Author Details

Jessica Louise Doolen, PhD, APRN, CNE, CHSE

Sigma Membership

Zeta Kappa at-Large

Type

Dissertation

Format Type

Text-based Document

Study Design/Type

Other

Research Approach

Quantitative Research

Keywords:

Instrument Testing, Nursing Education, Educational Simulations

Advisor

Janice Hayes

Second Advisor

Catherine Dingley

Degree

PhD

Degree Grantor

University of Northern Colorado

Degree Year

2012

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

2020-01-24

Full Text of Presentation

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