Straits Institute for Applied AI
Catalogue/Tier 3 · Job Skills/Education
AI+ for Assessment Design cover
T3-17 · Tier 3 · Job Skills

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.

Tier
Tier 3 · Job Skills
Category
Education
Format
Guide
Updated
Q2 2026
Inside
  • 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
Who this is for

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.

You’ll be able to
  • 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
What’s inside
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.

Appears in 2 bundles
Reads well with

Often packaged with this title.

How this was made

Every AI+ title is written by AI engineers who build production AI systems, then verified by practising professionals in the field it serves. Titles are reviewed quarterly and updated whenever the technology or regulation shifts. Localised editions are reviewed by in-region experts before release.

Our editorial approach →