For educators

Assessment resource center

Practical guides for writing clearer questions, grading evidence consistently, giving useful feedback, and making careful decisions about AI-assisted assessment and browser-based integrity controls.

Browse 10 original guides across 4 topics. Each guide includes a practical checklist and links to related reading.

Assessment design

Plan clearer questions, answer expectations, and pre-publish checks.

Better multiple-choice questions

Write clear stems, plausible distractors, and one defensible best answer while avoiding clues and overlap.

Published · 9 minute read

Better short-answer questions

Define answer scope, marks, alternatives, reference answers, and compact rubrics for clearer short-answer assessment.

Published · 9 minute read

Long-answer assessment

Design prompts and rubrics that separate argument, evidence, subject knowledge, and communication without double-counting.

Published · 10 minute read

Assessment quality checklist

A practical pre-publish review covering outcomes, wording, marks, timing, accessibility, rubrics, integrity, and technical readiness.

Published · 8 minute read

Grading practice

Build defensible rubrics, partial-credit rules, and useful feedback.

Designing fair grading rubrics

Build clear analytic or holistic rubrics, allocate marks deliberately, and moderate scoring with practical examples.

Published · 11 minute read

Consistent partial-credit grading

Use independent criteria, defensible mark increments, and moderation to recognise partial understanding consistently.

Published · 9 minute read

Useful teacher feedback

Turn comments into evidence-specific, actionable next steps while keeping feedback proportionate to the task and workload.

Published · 8 minute read

AI and review

Understand AI-assisted evaluation, its limits, and human oversight.

How AI-assisted grading works

Understand rubrics, reference answers, semantic interpretation, uncertainty, audit trails, and teacher review.

Published · 10 minute read

AI grading limitations

Recognise ambiguity, incomplete rubrics, alternative reasoning, model error, bias risks, and adversarial responses.

Published · 10 minute read

Exam integrity

Use browser-level signals proportionately and design fair review processes.

Browser-based exam integrity

Plan proportionate controls while understanding the limits of visibility, focus, fullscreen, copy/paste, and event logging.

Published · 9 minute read