ESL writing assessment and feedback
These guides come from the Writing side of the suite, where students write inside a focused workspace and the teacher grades against their own rubric. They cover the parts of writing assessment that eat the most evenings: building a rubric that maps to CEFR, reviewing AI-drafted feedback instead of writing it from scratch, and deciding what to do about AI detectors and integrity.
The exercise-design posts — gapped text, matching, word and sentence transformation, reading-comprehension questions — explain what each format really tests before you build one. The step-by-step mechanics live in the Writing wiki.
17 writing guides
How the template tiers work, the practical save-load-adapt mechanic, and what's actually worth templating versus building fresh each time.
Word and sentence transformation drills are graded completely differently — and knowing which is which matters most before you turn Autopilot on.
What it actually costs to build a writing prompt, quiz, gapped-text, or matching task from scratch — and where AI generation removes a step.
A plain look at exactly what gets sent to the AI model when you grade with Writing, no kidding, and what's deliberately left out.
See how Google Classroom grade sync really works: link an assignment, grade it in the app, then push the finalized grade to the gradebook.
What an assignment template actually saves versus what still needs redoing every cohort — and the honest case for building once and reusing often.
Most comprehension quizzes test scanning, not understanding. What good questions test by CEFR level, common mistakes, and how to generate a levelled set.
How to turn a scanned or PDF worksheet into a ready-to-review quiz or writing task — and where AI import genuinely saves time versus where it doesn't.
GDPR Article 22 requires more than a human somewhere in the loop. What a real teacher-review workflow looks like in AI-assisted grading, and why.
The EU AI Act's transparency rules apply from 2 August 2026. What Article 50 and 'not high-risk' actually mean for ESL teachers using AI grading.
Individual feedback misses class-wide patterns. Here's what a common-mistakes dashboard actually shows ESL teachers, and how to use it.
What gapped text, matching, and transformation drills each actually test, which CEFR levels suit them, and common design mistakes to avoid.
What CEFR writing rubrics actually measure, common mistakes when building one from scratch, and a simple B1 to B2 example for ESL teachers.
A practical framework for an academic integrity policy that actually holds up for AI-era ESL writing assignments — without relying on a single detector score.
A realistic breakdown of where essay-grading time actually goes for ESL teachers, and what AI pre-grading changes versus what it doesn't.
AI detectors flag non-native writing far more often than native writing. Here's what the false-positive data means for your grading policy.
A look at where AI-assisted grading actually saves ESL/EFL teachers time — and where it doesn't — based on how teachers use Writing, no kidding week to week.