Design Framework Overview
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
Successfully integrating Generative AI into a nursing curriculum requires more than just picking a tool; it requires a structured pedagogical approach. This "Design Framework" provides a step-by-step methodology for educators to move from initial idea to a fully integrated, evaluated educational experience.
The Design Process at a Glance
The framework follows a five-stage iterative process:
- Needs Analysis: Identifying the target audience, the clinical gap, and the desired learning outcomes.
- Learning Design: Selecting the appropriate AI modality and structuring the activity or assessment.
- Implementation: Preparing staff and students for the rollout of the AI-enhanced module.
- Evaluation: Measuring the impact on learning and student experience.
- Iteration: Refining the design based on feedback and the latest AI developments.
Why Use a Framework?
By using a structured framework, nursing educators can:
- Ensure NMC Compliance: Guarantee that AI use supports, rather than distracts from, professional proficiencies.
- Prioritize Safety: Ensure that clinical scenarios are evidence-based and safe for learning.
- Increase Efficiency: Avoid "reinventing the wheel" by following a proven pedagogical path.
- Foster Innovation: Encourage creative yet disciplined experimentation with new multimodal AI features.
Navigate this Section
- Needs Analysis: Identifying the "Why" and "Who" before the "How."
- Learning Design: Crafting the AI-enhanced experience.
- Implementation Guide: Strategies for a successful rollout.
- Evaluation & Iteration: Closing the loop for continuous improvement.
Next: Start with the first step: Needs Analysis.