Tracy M. Dodson PhD, MSN, RN, CEN , Kimberley Thompson-Hairston EdD , Janet M. Reed PhD, RN, CMSRN
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Nursing students' AI literacy and ethical understanding of AI in nursing education
Background
Generative artificial intelligence (GAI) offers opportunities to enhance learning in nursing education yet raises concerns about academic integrity and critical thinking. Limited research exists on nursing students' ethical understanding and prior GAI exposure.
Aim
To explore freshman nursing students’ understanding of ethical versus unethical uses of GAI, their foundational AI literacy, and prior exposure to AI training.
Methods
A cross-sectional descriptive study was conducted using a researcher-developed survey administered to 119 freshman BSN students at a large Midwestern university. The survey assessed knowledge of GAI ethics, GAI use, and perceptions of university-led GAI training.
Results
Students demonstrated a strong ability to differentiate between ethical and unethical uses of GAI (93 % accuracy). However, gaps were noted in understanding when AI-generated content crosses into academic dishonesty. Many students reported limited AI training and expressed strong interest in AI learning modules.
Conclusions
Freshman nursing students are eager to use GAI responsibly but lack foundational training. AI literacy education is essential to support ethical decision-making, preserve academic integrity, and prepare students for responsible AI use in nursing practice.
期刊介绍:
Teaching and Learning in Nursing is the Official Journal of the National Organization of Associate Degree Nursing. The journal is dedicated to the advancement of Associate Degree Nursing education and practice, and promotes collaboration in charting the future of health care education and delivery. Topics include: - Managing Different Learning Styles - New Faculty Mentoring - Legal Issues - Research - Legislative Issues - Instructional Design Strategies - Leadership, Management Roles - Unique Funding for Programs and Faculty