Department of Teaching, Learning and Teacher Education

 

First Advisor

Justin Olmanson

Second Advisor

Allen Steckelberg

Third Advisor

Douglas Golick

Date of this Version

11-2020

Citation

Bryan Wessel, K. (2020). Hospital-based nurse educators' technology readiness and use of high-fidelity simulation [Doctoral dissertation, University of Nebraska-Lincoln]. ProQuest Dissertations and Theses Global.

Comments

A DISSERTATION Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Doctor of Philosophy, Major: Educational Studies (Instructional Technology), Under the Supervision of Justin Olmanson. Lincoln, Nebraska: November, 2020

Copyright 2020 Kristen Bryan Wessel

Abstract

This study used a cross-sectional survey design in an aim to compare the technology readiness (TR) of hospital-based nurse educators (HBNEs) that use highfidelity simulation (HFS) and those that do not use HFS in order to determine if a difference in TR might account for the lack of widespread adoption of HFS in the hospital setting. An online survey was administered to HBNEs from two national organizations: ANPD and SSH. Descriptive statistics and quantitative data analyses were conducted and reported as well as qualitative findings. Descriptive statistics revealed the average age of HBNE to be 45-46 years of age, possessing a master’s degree, and less than five years of experience as a nurse educator. Quantitative data analysis used for hypothesis testing did not reveal any statistical significance in TR between HBNE groups, however, additional qualitative inqury did reveal interesting insights with regard to desire to implement HFS, barriers to HFS adoption and use, and support for HFS adoption. This study adds to the limited body of knowledge regarding HFS adoption and use in the hospital-setting. Recommendations for future study include inquiry into barriers to HFS adoption and use in the hospital setting; TR of hospital administrators and perceptions of value are also recommended.

Adviser: Justin Olmanson

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