Resources
Academic Papers (Bibliography)
Original work: "Educators' guide to multimodal learning and Generative AI" — Tünde Varga-Atkins, Samuel Saunders, et al. (2024/25) — CC BY-NC 4.0
Adapted for UK Nursing Education by: Lincoln Gombedza, RN (LD)
The following papers, reports, and standards informed the development of this toolkit, the NMC Proficiency Mapping, and the original Educator's Guide.
Key Texts regarding AI in Assessment
- Bearman, M., & Ajjawi, R. (2023). Learning to work with the black box: Pedagogy for a world with artificial intelligence. British Journal of Educational Technology, 54(5), 1160–1173.
- Lodge, J. M., Howard, S., Bearman, M., & Dawson, P. (2023). Assessment redesign for generative AI: A taxonomy of options and their viability. Journal of Applied Learning & Teaching.
- Weber-Wulff, D., et al. (2023). Testing of detection tools for AI-generated text. International Journal for Educational Integrity. (Evidence for why we do not rely on detection tools).
- Mollick, E., & Mollick, L. (2023). Assigning AI: Seven Approaches for Students, with Prompts. SSRN Electronic Journal.
Nursing & Clinical Context
- Nursing & Midwifery Council (NMC) (2018, updated 2024). Future Nurse: Standards of proficiency for registered nurses. London: NMC.
- Nursing & Midwifery Council (NMC) (2018, updated 2024). The Code: Professional standards of practice and behaviour for nurses, midwives and nursing associates. London: NMC.
- Topol, E. (2019). The Topol Review: Preparing the healthcare workforce to deliver the digital future. Health Education England.
- Department of Health and Social Care (DHSC) (2025). 10 Year Health Plan for England: Fit for the Future. London: GOV.UK. Available at: gov.uk/government/publications/10-year-health-plan-for-england-fit-for-the-future
- Morley, J., et al. (2020). The ethics of AI in health care: A mapping review. Social Science & Medicine, 260.
- Royal College of Physicians (2017). National Early Warning Score (NEWS) 2. London: RCP.
- The UK Sepsis Trust (2024). Sepsis Six Pathway.
Pedagogical Frameworks
- Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32, 347-364.
- Gibbs, G. (1988). Learning by Doing: A Guide to Teaching and Learning Methods. Further Education Unit. (The Reflective Cycle).
- Driscoll, J. (2007). Practising Clinical Supervision: A Reflective Approach for Healthcare Professionals. Bailliere Tindall.
- Mayer, R. E. (2009). Multimedia Learning (2nd ed.). Cambridge University Press. (Principles for creating effective visual content).
Policy & Guidelines
-
UNESCO (2023). Guidance for generative AI in education and research. Paris: UNESCO.
-
Russell Group (2023). Principles on the use of generative AI tools in education.
-
Quality Assurance Agency (QAA) (2023). Reconsidering assessment for the generative AI era.
-
Information Commissioner's Office (ICO) (2023). Guidance on Generative AI and Data Protection.
-
NHS Futures: AI Virtual Hub - Central hub for NHS AI resources and collaboration.
-
Clinical Research Network on AI in Nursing (AI Nurses) - King's College London research group.
-
AI Nurses (LinkedIn Community) - Professional community for nurses interested in AI.
-
Nursing Citizen Development (LinkedIn Newsletter) - Weekly updates on low-code/no-code and AI in nursing.