Abstract:
Artificial intelligence (AI) is transforming the landscape of health professions education, and nursing is no exception. Powerful new tools, ranging from generative language models to adaptive tutoring systems, are becoming increasingly accessible to faculty and students across the globe. Yet despite their potential, AI adoption in nursing education remains inconsistent. Many faculty members express uncertainty about what these tools can and cannot do, how to use them responsibly, and how to navigate the evolving ethical, equity, and policy considerations. At the same time, institutions struggle to keep pace with the rapid innovation cycle, often facing unanswered questions regarding privacy, governance, academic integrity, and fairness in access.
This interactive international workshop addresses these challenges by introducing a concise, faculty-centered checklist designed to guide responsible AI integration into nursing teaching, learning, and assessment. Developed through a synthesis of emerging AI implementation literature and grounded in nursing education values, this model distills complex guidance into an intuitive five-step roadmap. The framework focuses on three core elements essential for the nursing profession’s transition into the AI-enabled future: faculty AI competency development, equity-minded adoption, and alignment with institutional governance and ethical standards.
Participants will explore each step of the model through practical strategies, real-world classroom scenarios, and opportunities for reflection. Rather than overwhelming faculty with technical details or theoretical debates, the checklist emphasizes approachable, actionable steps that reduce cognitive load and help educators feel confident using AI as both a teaching aid and an assessment tool. The session highlights how structured guidance can streamline decision-making, standardize expectations across programs, and foster equitable learning environments particularly important for students who may face barriers to AI access or digital literacy.
By the end of this workshop, attendees will understand how to apply the five-step model to improve instructional efficiency, support academic rigor, and reinforce the human-centered core of nursing education. This checklist also provides a scalable framework that programs and institutions can use to accelerate consistent implementation across curricula, reduce uncertainty about ethical boundaries, and ensure that AI adoption strengthens key professional values such as compassion, critical thinking, and patient advocacy.
The implications for global nursing education are significant. As AI continues to evolve, faculty need tools that help them evaluate emerging technologies, integrate them responsibly, and maintain vigilance around issues of privacy, bias, and equity. This workshop contributes to the growing body of nursing scholarship focused on AI competency development, and it offers a practical resource that bridges exploratory evidence with the realities of everyday teaching. With this concise, evidence-based checklist, nurse educators can confidently embrace AI’s benefits while ensuring that innovation enhances learning, supports fairness, and preserves the relational and ethical foundation of the nursing profession.
Biography:
Dr. Lori Lioce is a Professor at the University of Alabama at Birmingham School of Nursing and an ANCC board-certified family nurse practitioner. An internationally recognized leader in healthcare simulation, she is among the first worldwide to earn both CHSE-A and CHSOS credentials. Dr. Lioce has over 30 years of service, more than 55 international presentations, and 68 publications advancing nursing education and global simulation best practices. She is Editor-in-Chief Emeritus of the Healthcare Simulation Dictionary and a Fellow of the AAN, AANP, and SSH, as well as a certified Integrative Nutrition Health Coach and educational consultant.
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