AI+ Assessment Design Workbook

Practice companion to AI+ Assessment Design

Practice companion to T3-17.

You dog-eared the rubric chapter. The next rubric read the same.

You read AI+ Assessment Design. The TRUST checks made sense, the rubric method was ready to copy — and the next test you wrote looked exactly like the last one. This workbook closes that gap: 37 exercises across four weeks, built on assessments you are actually designing, whether you teach a classroom, run a certification programme, or assess a workshop floor. Built by an AI engineering firm for assessment designers who already know a good question is hard to write — the practice that makes it habitual.

Tier

Workbooks

Category

Education

Format

Workbook

Updated

Q3 2026

Read on iG PublishingSee in 1 bundle

Inside

37 structured exercises across four weeks — built on the assessments you are actually designing, in any sector
Week 1 — assessment mindset and task design: the AI Opportunity Matrix, the Assessment Design Cycle, and task-type trade-offs
Week 2 — writing diagnostic items: MCQs, hinge questions, and a fix-the-distractors drill
Week 3 — rubrics and feedback: the Descriptor Quality Test, the Feedback Test, and a fix-the-rubric drill
Week 4 — integrity, inclusion and scale: AI-era redesign, accessible assessment, and a real item bank

Who this is for

Any professional who designs assessments — school and secondary teachers writing tests and marking schemes; university lecturers designing assignments and examinations; corporate trainers and L&D professionals building knowledge checks and certification assessments; vocational and further education assessors creating practical and portfolio assessments — who has read (or is working through) AI+ Assessment Design (T3-17) and wants structured, progressive practice applying the assessment design cycle to their own real assessments, whatever sector they work in.

Also for:An assessment designer in a CPD or L&D cohort using this workbook alongside a structured T3-17 reading programme; a head of department, assessment lead, or programme director running a team practice arc; a teacher trainer or staff developer using the workbook as a facilitated cross-sector workshop resource.

You’ll be able to

Map a real set of assessment tasks onto the AI Opportunity Matrix, name the purpose (for/of/as learning) an assessment serves, and select task types for at least three real assessments using the reliability/authenticity/AI-era-validity trade-offs — including correctly diagnosing why a supplied set of MCQ distractors is non-diagnostic and rewriting it so each distractor maps to a specific misconception
Write MCQ items, hinge questions, essay prompts, and scenario-based items for real assessments, applying the TRUST framework as the quality gate before use
Create analytic, holistic, or performance rubrics with observable, evidence-based descriptors — including correctly rewriting a supplied adjective-based descriptor pair into evidence-based criteria — and design feedback that applies the Feedback Test, the Priority Sentence, and the Specificity Rule to real marking
Redesign a real assessment for AI-era validity using at least one of the four redesign strategies, apply the construct-vs-access test and the AI Safety Checklist to an inclusive assessment redesign, and tag and file real items into a structured assessment bank

What’s inside

Week 1: Assessment Mindset and Task Design
Week 2: Writing Diagnostic Items
Week 3: Rubrics and Feedback
Week 4: Integrity, Inclusion and Scale
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm for assessment designers who already know a good question is hard to write — the practice that makes it habitual.

Appears in 1 bundle

IND-04The Education AI Pack

Reads well with

AI+ Assessment Design Workbook

Often packaged with this title.