Skip to content

kenmccarthy/arf

Repository files navigation

2026 Assessment Redesign Framework

A static website for the 2026 Assessment Redesign Framework by Dr Hazel Farrell, Academic Lead for GenAI at South East Technological University (SETU). Developed as part of the GenAI:N3 project.

This framework supports educators in redesigning assessments to ensure they remain valid, fair, transparent, and aligned with learning outcomes in an AI-enhanced educational landscape.

Pages

Page File Description
Home index.html Introduction, author profile, and navigation to all sections
Framework Overview framework.html Introduction, policy context, objectives, scope, and the purpose of assessment
Core Principles principles.html Five guiding principles: validity, fairness, transparency, accessibility, and alignment with learning outcomes
Risk & Detection risk-detection.html Assessment risk levels, mitigation strategies, AI detection tool limitations, and postgraduate considerations
AI Integration integration.html AIED Framework integration factors, Furze AI Assessment Scale, two-track approach, and process-focused design
Agentic AI agentic-ai.html Emerging challenges from agentic AI systems and five assessment design responses
Design Strategies strategies.html Practical assessment design strategies including approaches for large cohorts
Quality Assurance quality.html Programme-level alignment, quality processes, time investment, and institutional support
Resources & Tips resources.html Seven practical tips, the postplagiarism concept, reviewer acknowledgements, and a reading list
Glossary glossary.html 34 key terms with definitions and links back to relevant sections

Technology

  • Static HTML5, CSS3, and vanilla JavaScript — no frameworks or build tools required
  • CSS custom properties (design tokens) for consistent theming
  • Responsive design with mobile hamburger navigation
  • Print-friendly styles
  • WCAG accessibility features (focus-visible, reduced motion, semantic HTML)
  • SVG favicon with PNG fallbacks

Colour Scheme

  • Primary (navy): #1e3a5f
  • Accent (warm gold): #b8860b
  • Track 1 (blue): #2563eb — AI-restricted assessments
  • Track 2 (green): #16a34a — AI-integrated assessments

Project Structure

arf/
├── index.html              # Home page
├── framework.html          # Framework Overview
├── principles.html         # Core Principles
├── risk-detection.html     # Risk & Detection
├── integration.html        # AI Integration
├── agentic-ai.html         # Agentic AI
├── strategies.html         # Design Strategies
├── quality.html            # Quality Assurance
├── resources.html          # Resources & Tips
├── glossary.html           # Glossary
├── style.css               # Design system & styles
├── enhancements.js         # Lightweight UX enhancements
├── favicon.svg             # SVG favicon
├── favicon.png             # 32x32 PNG favicon
├── apple-touch-icon.png    # 180x180 Apple touch icon
└── images/
    ├── hazel-farrell.jpg         # Author photo
    ├── hardman-taxonomy.jpg      # Post-AI Learning Taxonomy
    ├── furze-ai-scale.jpg        # AI Assessment Scale
    ├── virmani-lau-impact.jpg    # Time/Impact chart
    └── eaton-postplagiarism.jpg  # 6 Tenets of Postplagiarism

Deployment

Serve the project root as a static site. No build step is needed. Any static hosting platform will work (GitHub Pages, Netlify, Vercel, etc.).

Author

Dr Hazel Farrell — Academic Lead for GenAI, SETU

Licence

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

CC BY-SA 4.0

Credits

HTML version developed by Ken McCarthy using Claude Code.

Many thanks to reviewers Dr Jim O'Mahony, MTU and Damien Raftery, SETU.

About

Assessment Redesign Framework

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •