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Academic Papers (Bibliography)

Attribution

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: December 2025

The following papers and reports informed the development of this toolkit 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.
  • Lodge, J. M., et al. (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 don't rely on detection).

Nursing & Clinical Context​

  • Topol Review (2019). Preparing the healthcare workforce to deliver the digital future. NHS Health Education England.
  • Morley, J., et al. (2020). The ethics of AI in health care: A mapping review. Social Science & Medicine.

Pedagogical Frameworks​

  • Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education. (The basis for aligning AI tasks with learning outcomes).
  • Driscoll, J. (2007). Practising Clinical Supervision: A Reflective Approach for Healthcare Professionals. (The model used in our reflective prompts).