ICN Webinar: Reimagining nursing education with Artificial Intelligence: Creativity, ethics, and pedagogical transformation

Overview

Artificial Intelligence (AI) is rapidly transforming education, creating new opportunities for teaching, learning design, and educational leadership. This webinar explores creative, meaningful, and non-traditional uses of AI, moving beyond introductory explanations and a focus on tools alone to position AI as a creative partner in education.

Aligned with global priorities for the ethical and responsible integration of AI, the webinar promotes creativity, critical thinking, and human-centred learning through practical inspiration, reflective dialogue, and creative experimentation.

The webinar is intended for educators and nurse educators in higher education, as well as instructional designers, curriculum developers, nurses in leadership, education, and advanced practice roles, education policymakers, innovation leads, educational researchers, and digital learning specialists involved in shaping the future of education and professional training.

This webinar will provide 1.5 International Continuing Nursing Education Credits (ICNECs) to participants who attend at least 75% of the webinar and complete the post-session survey.

Speakers

• José Luis Cobos Serrano, ICN President
• Cristina García-Vivar, Full Professor, Public University of Navarre, Spain, and Chair of the Communication and Dissemination Subcommittee of the ICN Education Advisory Committee
• Matthew Byrne, Principal Product Manager, AI Applications, Mayo Clinic, USA
• Prof. Jing Wang, Dean and Professor, Florida State University College of Nursing, USA
• Suresh Kumar Sharma, Full Professor and Principal, All India Institute of Medical Sciences Jodhpur, India, and Chair of the Ethical Use of AI in Nursing Education Subcommittee of the ICN Education Advisory Committee
• Vivian Hui, Assistant Professor, School of Nursing, The Hong Kong Polytechnic University, China
• Elphas Muricho, Deputy Chair, ICN Alliance of Students and Early Career Nurses, Kenya, and member of the Communication and Dissemination Subcommittee of the ICN Education Advisory Committee
• Madeleine Mukeshimana, Full Professor of Nursing and Chair of the Research Committee in the School of Nursing and Midwifery at the University of Rwanda, and member of the Ethical Use of AI in Nursing Education Subcommittee of the ICN Education Advisory Committee

Objectives

• Explore Artificial Intelligence as a creative partner in nursing education and learning design.
• Examine ethical considerations, professional responsibilities, and governance implications associated with AI use in education.
• Provide practical examples and case studies demonstrating innovative and human-centred AI applications in educational settings.
• Strengthen the capacity of nurse educators, leaders, and policymakers to shape AI integration proactively and responsibly.
• Foster global dialogue and shared learning on the future of nursing education in the context of digital transformation.

Useful resources

• Position Statements: Digital Health transformation and nursing practice
• ICN Learning Hub – Track 2 The Digital Frontier: AI, Technology, and Innovation
• ICN Learning Hub – Track 6 Education, Simulation, and Mentorship