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A practical guide for integrating Generative AI into UK nursing education. Aligned with NMC standards.

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ClinyQAi/nursing-ai-toolkit

πŸŽ“ AI in Nursing Education: A Multimodal Learning Toolkit

A Practical Guide for UK Nursing Education

Multimodal Learning with Generative AI for Nurse Educators

Website Deploy Status License: CC BY-NC 4.0 Built with Docusaurus NMC Aligned

πŸ“– Read the Guide β€’ πŸ§ͺ Prompt Playground β€’ πŸ… ClinyQAiβ„’ Passport β€’ πŸ’‘ Case Studies


πŸ“š Table of Contents


🌟 Overview

The AI in Nursing Education: A Multimodal Learning Toolkit is a comprehensive, open-access resource designed specifically for UK nursing educators who want to integrate Generative AI into their teaching practice responsibly and effectively.

This toolkit provides:

  • βœ… Practical strategies for teaching delivery, self-regulated learning, and AI-resilient assessment
  • βœ… Real-world case studies from nursing education contexts
  • βœ… Evidence-based guidance aligned with NMC Standards and UK nursing curricula
  • βœ… Multimodal examples demonstrating text, image, audio, and video AI applications

🎯 Who is this for?

  • 🩺 Nurse Educators in universities and NHS practice settings
  • πŸ“– Educational Developers supporting nursing programmes
  • πŸ‘₯ Programme Leaders seeking AI literacy integration strategies
  • πŸŽ“ Students wanting to understand responsible AI use in healthcare

πŸ“¦ What's Inside

πŸ§‘β€πŸ« Teaching with AI

Learn how to use multimodal GenAI tools to enhance clinical teaching, create simulations, and develop visual learning resources.

πŸŽ“ Supporting Self-Regulated Learning

Discover strategies for helping nursing students use AI as a study companion while developing critical thinking skills.

πŸ“ AI-Resilient Assessment

Explore assessment design approaches that maintain academic integrity while acknowledging AI's role in modern practice.

πŸ’Ό Case Studies

Real examples from nursing education including:

  • Patient scenario simulations
  • ECG interpretation using visual metaphors
  • Wound care visualization
  • Ethical dilemma exploration

πŸ“š Resources

Curated links to:

  • NMC and RCN guidance
  • Academic research on AI in nursing education
  • Recommended GenAI tools and platforms

πŸ€– AI Tools (Live Demos)

Try our interactive AI-powered applications directly on the website:

Tool Description Link
πŸŽ™οΈ Podcast Agent Convert nursing documents/text into 2-speaker educational podcasts powered by Gemini 2.5 & Edge-TTS. Try it
πŸ“š NMC Knowledge Bot An AI Nursing Proficiency Coach using hybrid web search and the NMC Code. Powered by 2026 Frontier Models (Gemini 3, Claude 4.5, GPT-5.2). BYOK (Bring Your Own Key). Try it

πŸš€ Quick Start

View the Live Guide

πŸ‘‰ Visit AI in Nursing Education: Multimodal Learning Toolkit

Run Locally

# Clone the repository
git clone https://github.com/ClinyQAi/nursing-ai-toolkit.git
cd nursing-ai-toolkit

# Install dependencies
npm install

# Start the development server
npm start

The site will open at http://localhost:3000/

Build for Production

npm run build

Static files will be generated in the build directory.


πŸ‘€ About the Adaptation

Adapted for UK Nursing by

Lincoln Gombedza, RN (LD)
Learning Disability Nurse | Nursing Citizen Developer | AI in Healthcare Advocate

Lincoln is a registered Learning Disability Nurse and Founder of ClinyQAi, an initiative dedicated to making AI accessible and practical for nursing practice and education. With expertise in clinical informatics and a passion for nursing citizen development, Lincoln has adapted this toolkit to align with:

  • πŸ₯ NMC Standards of Proficiency for Registered Nurses
  • πŸ‡¬πŸ‡§ UK Nursing Curricula requirements
  • πŸ“‹ NHS Digital Strategy principles
  • πŸŽ“ QAA Guidelines for Higher Education

Connect with Lincoln


πŸ“œ License & Attribution

Original Work

This toolkit is an adaptation of the "Educators' guide to multimodal learning and Generative AI" created by:

  • Dr. TΓΌnde Varga-Atkins (University of Liverpool)
  • Samuel Saunders and the Liverpool team

Original License: CC BY-NC 4.0
Original Resource: Multimodal Learning & GenAI Guide

This Adaptation

Adapted Work: AI in Nursing Education: A Multimodal Learning Toolkit for UK Nursing Education
Adapter: Lincoln Gombedza, RN (LD) Β© 2024-2025
Adaptation License: CC BY-NC 4.0

βœ… You are free to:

  • Share β€” copy and redistribute the material in any medium or format
  • Adapt β€” remix, transform, and build upon the material

⚠️ Under the following terms:

  • Attribution β€” You must give appropriate credit to both the original authors and the adapter
  • NonCommercial β€” You may not use the material for commercial purposes
  • ShareAlike β€” If you remix, transform, or build upon the material, you must distribute your contributions under the same license

Nursing-Specific Content

All nursing case studies, NMC-aligned guidance, and UK healthcare context adaptations are original contributions by Lincoln Gombedza and are shared under the same CC BY-NC 4.0 license.


🀝 Contributing

We welcome contributions from the nursing education community!

How to Contribute

  1. Fork this repository
  2. Create a branch for your feature (git checkout -b feature/amazing-case-study)
  3. Commit your changes (git commit -m 'Add amazing case study')
  4. Push to the branch (git push origin feature/amazing-case-study)
  5. Open a Pull Request

Contribution Ideas

  • πŸ“ Share your own nursing AI case studies
  • πŸ”§ Suggest improvements to existing guidance
  • 🌍 Translate content for international nursing contexts
  • πŸ› Report bugs or broken links
  • πŸ’‘ Propose new sections or resources

πŸ› οΈ Technical Details

Built With

  • Docusaurus 3.7.0 β€” Modern static site generator
  • React β€” UI framework
  • MDX β€” Markdown with JSX support
  • GitHub Pages β€” Hosting platform
  • GitHub Actions β€” Automated deployment

Project Structure

nursing-ai-toolkit/
β”œβ”€β”€ docs/                    # Documentation markdown files
β”‚   β”œβ”€β”€ teaching/           # Teaching with AI section
β”‚   β”œβ”€β”€ learning/           # Self-regulated learning section
β”‚   β”œβ”€β”€ assessment/         # Assessment strategies
β”‚   β”œβ”€β”€ case-studies/       # Nursing case studies
β”‚   └── resources/          # Links and references
β”œβ”€β”€ src/                     # React components
β”‚   β”œβ”€β”€ components/         # Custom components
β”‚   β”œβ”€β”€ css/               # Styling
β”‚   └── pages/             # Custom pages (homepage)
β”œβ”€β”€ static/                 # Static assets (images, etc.)
└── docusaurus.config.ts   # Site configuration

Local Development Requirements

  • Node.js v20.0 or higher
  • npm or yarn

πŸ“ž Support & Feedback

Questions or Issues?

Acknowledgments

Special thanks to:

  • Lorna Zvikomborero Magume, Care and Support Worker at ALC Supported Living (Aspirational Led Care) β€” whose dedication to person-centred care is nothing short of inspirational
  • Aisha Holloway, Chief Nursing Officer for Scotland and mentor
  • Professor Joanne Bosanquet, Chief Executive Foundation of Nursing Studies
  • Kumbi Kariwo, Health Inequalities Lead, Nurse Citizen Developer & Expert in Wound/Skintone Bias and Coded Bias in AI
  • Hector Musonza, Practice Education and Preceptorship Lead.
  • Dr Clare Cable, Chief Executive Burdett Trust for Nursing Now Challenge
  • Professor Gemma Stacey, Mentor and Programme Director Nursing Now Challenge
  • Josie Rudman MBE, NHS England and my mutual mentor
  • Rohit Sagoo, Children's Nurse and Mentor
  • Dr. Hellena Habte-Asres, Multi-Award-Winning Postdoctoral Researcher (PhD Epidemiology) | Clinical Academic Nurse | Diabetes, CKD & Ophthalmology | Real-World Evidence mentor and friend
  • Janet Michel, Executive Director Global Health Mentorships
  • Kelly Thobekile Ncube, Senior Lecturer in Adult Nursing (SFHEA), Global Health Lecturer Volunteer Fellow β€” Passionate educator in resuscitation and expert in AI nursing education, championing innovative teaching methods
  • Dr. TΓΌnde Varga-Atkins and the University of Liverpool team for creating the foundational guide
  • The NMC and RCN for their guidance on digital literacy in nursing
  • The FONS community for championing evidence-based nursing practice
  • All nurse educators experimenting with AI in their teaching

Made with ❀️ for the Nursing Education Community

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A practical guide for integrating Generative AI into UK nursing education. Aligned with NMC standards.

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