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)
Last Updated: January 2026
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
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UNESCO (2023). Guidance for generative AI in education and research. Paris: UNESCO.
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Russell Group (2023). Principles on the use of generative AI tools in education.
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Quality Assurance Agency (QAA) (2023). Reconsidering assessment for the generative AI era.
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Information Commissioner's Office (ICO) (2023). Guidance on Generative AI and Data Protection.
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NHS Futures: AI Virtual Hub - Central hub for NHS AI resources and collaboration.
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Clinical Research Network on AI in Nursing (AI Nurses) - King's College London research group.
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AI Nurses (LinkedIn Community) - Professional community for nurses interested in AI.
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Nursing Citizen Development (LinkedIn Newsletter) - Weekly updates on low-code/no-code and AI in nursing.