Degree Name
Nursing Practice, DNP
Publication Date
8-22-2025
First Advisor
Lisa Drake
Second Advisor
Chandra Carter
Abstract
This quality improvement project addressed inefficient, manual course design processes contributing to faculty workload and declining National Council Licensure Examination (NCLEX) pass rates at a rural Texas university’s baccalaureate nursing program. Guided by the Roy Adaptation Model and the Plan-Do-Study-Act framework, the project evaluated the effect of integrating artificial intelligence (AI) tools on faculty perceptions of technology adoption, specifically perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI). Using a quasi-experimental pre-/post-intervention design, twelve faculty members completed a one-hour, evidence-based training using the Generative AI for Instructional Development and Education (GAIDE) framework, and eight faculty participated in a two-week pilot applying AI tools in assignment and course design. Data were collected through a Technology Acceptance Model (TAM) survey and analyzed with paired t-tests. Results revealed statistically significant improvements and large effect sizes across PU (p = .002, d = 1.67), PEOU (p = .007, d = 1.32), and BI (p < .001, d = 1.97). Findings suggest measurable gains in perceptions of AI’s usefulness and ease of use, alongside a marked increase in confidence and sustained intent to adopt AI in instructional design. Targeted, hands-on faculty development promoted readiness for technology adoption, streamlined course design, and improved alignment with competency-based education standards. Sustainability efforts, including faculty champions, embedded professional development, and a digital resource repository, support ongoing integration. This project advances nursing education by offering a scalable, evidence-based model for incorporating AI to enhance faculty efficiency and student success.
Rights Management
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Bull, Lesslie, "Leveraging Artificial Intelligence (AI) for Competency-Based Course Design: A Quality Improvement Project in Nursing Education" (2025). Doctor of Nursing Practice Projects. 213.
https://arch.astate.edu/dnp-projects/213
