
AI+ for Assessment Design
Smarter Tests, Rubrics and Feedback
Assessments that hold. In a world where learners use AI.
Your MCQ distractors are weak, rubrics say "demonstrates understanding" at every level, and written feedback takes longer than the marking. The assessments you'd be proud to defend aren't the ones you have time to build. This book gives assessment designers the Assessment Design Prompt Toolkit (32 prompts from task design through feedback), a method for AI-resilient redesign, and a quality gate for AI-generated items. Built by an AI engineering firm for assessment designers who know a good question is the hardest thing to write.
- 32 ready-made, market-tested prompts: task selection, MCQ writing, scenario items, rubric construction, feedback templates, AI-resilient assessment design
- A rubric design workflow that produces analytic and holistic rubrics with levelled performance descriptors marker can apply consistently
- An AI-aware assessment design discipline — designs that test genuine understanding when learners have AI access
- A reusable assessment bank structured for tagging, retrieval, and revision
- A 30-day plan for teachers, lecturers, corporate trainers, L&D professionals, and vocational educators
Any professional who designs assessments: school and secondary teachers writing tests, end-of-unit assessments, and marking schemes; university lecturers designing assignments, essays, and examinations; corporate trainers building knowledge checks and competency assessments; L&D professionals designing certification tests and performance assessments; vocational trainers creating practical and portfolio assessments. Cross-sector by design — the craft of designing a valid, useful assessment is the same whether you are setting a GCSE-style chemistry test, a corporate compliance quiz, or a portfolio brief for a design programme.
Also for:Heads of department and assessment leads overseeing question quality and moderation; programme directors responsible for assessment strategy; trainee teachers developing assessment literacy; subject matter experts who must create a test for the first time; instructional designers building eLearning assessments and knowledge checks.
- Select the right assessment task type — multiple-choice, essay, project, practical, portfolio — for a given learning objective and context, with AI support for task generation and critique
- Write well-constructed assessment questions and tasks, including high-quality MCQ distractors, essay prompts, and scenario-based items, using AI as a drafting and review partner
- Create analytic and holistic rubrics with clear, levelled performance descriptors using AI, and evaluate and refine AI-generated rubrics against professional standards
- Design written feedback and model answers that drive learner improvement, including AI-assisted feedback templates and exemplars
- Redesign assessments to remain valid and honest in a world where learners have access to AI tools
- Build and maintain a structured assessment bank of reusable, tagged items for repeated use across contexts
- Diagnostic
- How confident are you with assessment design?
- Chapter 1
- AI in Assessment Design Right Now
- Chapter 2
- Assessment as a Design Problem
- Chapter 3
- Designing Assessment Tasks
- Chapter 4
- Writing Questions and Tasks
- Chapter 5
- Rubrics and Marking Criteria
- Chapter 6
- Feedback That Drives Learning
- Chapter 7
- Assessment in an AI World
- Chapter 8
- Assessment for Diverse Learners
- Chapter 9
- Building Your Assessment Bank
- Chapter 10
- Your 30-Day Assessment Design Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm — for educators whose assessments have to be valid, and whose feedback has to be useful.
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