Nurse Educators' Perceptions and Experiences of Generative Artificial Intelligence: A Cross-Sectional Study Analysis.

Area of Science:

• Nursing Education
• Educational Technology
• Artificial Intelligence in Healthcare

Background:

• Generative artificial intelligence (AI) adoption is rising in nursing education.
• Concerns exist regarding AI content accuracy and ethical implications.
• Understanding nurse educators' perceptions is crucial for effective integration.

Purpose of the Study:

• To explore South Korean nurse educators' perceptions and experiences with generative AI.
• To assess the perceived usefulness and actual engagement with generative AI tools.

Main Methods:

• A cross-sectional survey was conducted among 120 nurse educators in South Korea.
• Descriptive statistical analysis was used to analyze the collected data.
• Data included prior engagement, preferred AI sources, perceived usefulness, and actual use.

Main Results:

• 38.9% of participants had no prior engagement with generative AI.
• ChatGPT was the preferred source for 32.5% of respondents.
• Perceived usefulness averaged 3.11/4, indicating a favorable view, while actual engagement averaged 2.76/4.

Conclusions:

• Nurse educators generally hold positive attitudes towards generative AI in nursing education.
• There is a need for increased application and familiarity with generative AI to enhance teaching and student outcomes.
• Bridging the gap between positive perception and moderate engagement is key to maximizing AI's educational potential.