Deep Dive into Nursing Education topics using AI

Episode 29: AI Literacy in Nursing Education

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.

Episode 28: Unlocking the Potential of Google's NotebookLM AI Tool in Nursing Education

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.

Episode 27: Unlocking the Cognitive Impact & Ethics of AI in 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/

Episode 26: AI Transformation in Nursing & Healthcare - A Foundational Dialogue

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

Episode 25: Rethinking Thinking: GenAI and the New Cognitive Landscape

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.

Episode 24: Generative AI impact on Self-Directed Learning

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

Episode 23: AI-Personalized Learning - Theoretical Discussion

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? 

Episode 22: Ethical Use of AI in Academic Writing

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

Episode 21: AI Index Report 2025 - Key Takeaways & Applicability to Nurse Educators

In this episode, we dive into the groundbreaking AI Index Report 2025, exploring its implications specifically for nursing education. We'll begin with a brief overview of the report, highlighting how artificial intelligence continues to transform industries globally.
The bulk of our conversation examines the critical intersection of AI and nursing education, discussing how nurse educators must prepare the next generation of healthcare professionals for AI-augmented clinical environments. We explore five key takeaways: the deep embedding of AI in clinical care, the imperative of AI literacy for the nursing workforce, the importance of responsible AI practices, the catalytic role of academic institutions, and practical starting points for nurse educators.
Join us as we discuss how nursing education can evolve to ensure graduates are equipped not just to use AI tools, but to critically evaluate them, understand their limitations, and advocate for ethical implementation in healthcare settings.
Link to full report: https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf

Episode 20: An Integrated Decision-Making Framework to Guide Gen AI Policies in Education

This deep dive episode is based on a systematic literature review by Bukar et al (2024) which identified key risks (e.g., misinformation, plagiarism, ethical issues), rewards (e.g., efficiency, improved communication, learning support), and resilience factors associated with ChatGPT usage, particularly in higher education. The authors propose a three-step process and seven guiding rules for applying the RRR framework, emphasizing the interconnectedness of risk, reward, and resilience and the potential second-order effects of legislative policies. Why is this important to nurse educators? The hosts provide some examples to consider.
Access the open source article at https://peerj.com/articles/cs-1845/