Degree Name

Nursing Practice, DNP

Publication Date

4-28-2026

First Advisor

Lisa Drake

Second Advisor

Diane Hare

Abstract

Professional communication is an essential skill for nursing students, particularly in job interviews. Deficits in professional communication can negatively impact future employment and accreditation outcomes. Current practices in faculty-led mock interviews can be limited by time constraints and the need for consistent feedback, underscoring the need for a more consistent and effective method supported by current evidence-based literature. The purpose of this quality improvement project is to evaluate whether integrating AI-assisted mock interviews into faculty-led practices influences faculty perceptions of student preparedness. Guided by Kotter’s Change Model and supported by the constructivist framework, the project aimed to enhance the effectiveness of interview preparation. A pre- and post-quasi-experimental design, supported by the Plan-Do-Study-Act (PDSA) implementation framework, was used to engage nursing faculty in mock interviews within an undergraduate nursing program. The intervention incorporated AI-assisted mock interviews using ChatGPT alongside faculty-led mock interviews. Faculty completed a 10-item Likert-scale perception survey before and after implementation. Data were analyzed using the Wilcoxon signed-rank test, and results showed a statistically significant improvement in faculty perceptions (V = 0.00, z = -2.07, p = .038), with median scores increasing from 4.00 to 5.00. Findings support integrating AI as a supplemental tool to enhance faculty-led practices. Limitations include a small sample size and reliance on self-reported faculty perceptions. This project contributes to nursing education by providing a scalable, evidence-informed approach to improving communication preparedness and supporting faculty efficiency.

Included in

Nursing Commons

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