Graduation Semester and Year
Winter 2025
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Nursing
Department
Nursing
First Advisor
Mari Tietze
Second Advisor
Patricia Thomas
Third Advisor
Daisha Cipher
Fourth Advisor
Regina Urban
Abstract
This mixed-methods study examined factors contributing to technostress among Master of Science in Nursing (MSN) Education students enrolled in a fully online program. Guided by the Technostress Trifecta Model, the study explored the relationships among age, grade point average (GPA), years of nursing experience, and self-rated technical skills, as well as students’ perceptions of technology use in learning.
Data were collected from 94 participants using the Technostress Scale by Upadhyaya and Vrinda (2021). Quantitative analyses showed that self-rated technical skill was significantly associated with lower perceived technological complexity, while age was significantly associated with both techno-invasion and techno-uncertainty. GPA and years of nursing experience were not significant predictors, and the overall model predicting total technostress was not significant. Although the final sample did not meet the original statistical power target, the findings provided valuable insight into how technostress develops in graduate nursing education.
Qualitative responses revealed six themes: Instructor Variability, Technical Challenges, Surveillance and Privacy, Loss of Collaboration, Digital Fatigue, and Adaptation and Growth. These findings suggest that technostress is influenced more by course structure, instructor consistency, and support than by demographic factors.
Keywords
Technostress, Online nursing education, MSN students, Technostress Trifecta Model, Digital learning experiences, Technological complexity, Graduate nursing programs, Mixed-methods study, Student technical skills, Techno-invasion, Techno-uncertainty
Disciplines
Online and Distance Education | Other Education | Other Nursing
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Weber, Jennifer, "Factors Contributing to Technostress in Nursing Education: A Study Of Master of Science in Nursing (MSN) Education Students" (2025). Nursing Dissertations. 138.
https://mavmatrix.uta.edu/nursing_dissertations/138