Deep Dive into Nursing Education topics using AI

Exploring the intersection of artificial intelligence and nursing education, this podcast takes a deep dive into how AI tools like ChatGPT are transforming the way we teach and learn in healthcare. From personalized learning experiences to ethical challenges, we dive into the opportunities, obstacles, and essential strategies for successfully integrating AI into nursing curricula while preserving the human-centered care that defines our profession. The sources for this podcast – Peer-reviewed AI-themed articles from Teaching and Learning in Nursing, OADN’s journal, from January thru July 2025.
Journal URL: https://www.sciencedirect.com/journal/teaching-and-learning-in-nursing

In this episode, we explore the rapid integration of AI tools in K–12 education and discuss the significant implications for higher education, especially nursing programs. As AI becomes a core part of students’ learning experiences early on, nursing educators must rethink curricula to build on students’ AI literacy, emphasizing ethical use, critical evaluation, and data privacy. Join us for insights on how AI is reshaping education at every level and what this means for preparing the next generation of healthcare professionals.
Sources: https://bit.ly/4lxvbAk

In this deep dive episode, we explore the critical topic of AI literacy in nursing education. What exactly does AI literacy mean, and why is it becoming essential for nursing educators and students alike? We trace the evolution of AI literacy through nine key scholarly articles, starting in 2021—before the rise of generative AI tools like ChatGPT—and continuing through 2023 and 2025, highlighting how the landscape has rapidly changed. AI literacy encompasses understanding the fundamentals of artificial intelligence, critically evaluating AI-generated content, mastering practical skills to interact effectively with AI tools, and cultivating ethical awareness around AI’s impact on healthcare and society. We also discuss recognizing the risks associated with AI misuse, from misinformation to bias and over-reliance.
Join us as we unpack why AI literacy is a vital competency in nursing education today, equipping future nurses to leverage AI responsibly and confidently in their practice and learning.

In this episode, we explore NotebookLM—an AI-driven tool transforming nursing education by helping educators personalize content, create interactive study aids, and foster critical thinking and clinical reasoning. Nursing students benefit too, with personalized tutoring, multimodal learning, and enhanced support for research and assignments. Tune in to learn how AI is reshaping the future of nursing education.

Explore how AI like ChatGPT impacts our brain’s learning processes and the ethical challenges nurse educators face integrating generative AI in healthcare education. Dive into the balance between AI efficiency, cognitive engagement, and responsible use in this thought-provoking episode.
Further information on this study: https://www.brainonllm.com/

This deep dive explores insights from the American Academy of Nursing’s Foundational Dialogue, exploring how AI is reshaping care delivery and identity and why now is the time for nurses to lead the charge. With powerful perspectives from thought leaders like Dr. Connie Delaney, Dr. Richard Booth, and Rochelle Prosser, this conversation underscores the urgency of embedding nursing values into our digital future. How can nursing education engage with the policy priorities identified by these thought leaders?
Publication link: https://cdn.ymaws.com/aannet.org/resource/resmgr/policydocuments/policy_dialogue_proceedings/2024-2025_pds/informatics_and_technology/proceedings_ai_pd_nov_2024_f.pdf

This deep dive provides a summary from current research indicating that GenAI can lead to perceived reductions in cognitive effort and a shift in how critical thinking is applied, emphasizing verification and integration over independent problem-solving. There is a risk of overreliance and diminished skills, particularly among users with high confidence in AI. However, GenAI also highlights the continued importance of critical thinking skills like verification and oversight, and its potential negative impacts can potentially be mitigated through thoughtful tool design and user training.

This episode explores Generative AI in self-directed learning through a scoping review published by Roe and Perkins in November of 2024. The review identifies four key themes: Generative AI's potential to enhance Self-Directed Learning, the changing role of the educator as a Generative AI guide, the opportunity for personalization of learning, and the necessary approach of caution due to risks like over-reliance and inaccuracies. So how do these findings apply to nursing education? Listen to explore how generative AI can support nursing students as they navigate learning with generative AI tools. Consider what role nurse educators play in navigating this landscape and to ethically guide their learners.
Full article: https://arxiv.org/pdf/2411.07677

Ready for a theoretical approach to AI-based personalized learning. An academic paper, titled "AI based personalized learning in ‘The Diamond Age’: Artificial subversiveness and human feeling machines", published April 2025 in Educational Philosophy and Theory journal, examines AI-driven personalized learning through the lens of Neal Stephenson's science fiction novel, The Diamond Age. The author, Gideon Dishon, analyzes how the novel portrays the potential of AI to cultivate subversive individuality but also highlights the technology's limitations and the crucial role of background experiences and human emotional connection. As you listen, consider how can this theoretical approach applies to prelicensure nursing students as they navigate the rigor of a nursing program using an AI-based personalized learning approach and how can nurse educators support this approach? 

Join us for a compelling conversation on the ethical implications of AI tools like ChatGPT in academic writing—especially in healthcare simulation. Inspired by Cheng, Calhoun & Reedy’s article in Advances in Simulation, we explore the blurred lines between responsible assistance and academic misconduct. From transparency standards and co-authorship pitfalls to AI “hallucinations” and the erosion of critical research skills, this episode highlights where AI helps—and where it crosses the line.
URL to full open access article: https://doi.org/10.1186/s41077-025-00350-6