Free AI Reteach Pack Generator

Free AI reteach pack generator. Pick any quiz, formative, or test you gave, and get a targeted warm-up, differentiated practice sheet, and updated exit ticket in seconds. Aligned to the misconceptions your students revealed.

How to Generate a Reteach Pack from an Assessment

  1. Pick the assessment you gave: Choose any quiz, formative, test, or exit ticket from your AssessmentWiz workspace.
  2. Add optional teacher notes: Type a sentence or two about what actually happened in class to tune the reteach focus.
  3. Generate the reteach bundle: The AI reads the built-in misconception data and produces a warm-up, practice sheet, and updated exit ticket in about 30 seconds.
  4. Print and reteach: Download as a Word document, print, and use in your next lesson. Reassess with the exit ticket at the end.

Frequently Asked Questions

What is a reteach pack?

A reteach pack is a bundled set of three artifacts generated from an assessment you already gave: a 10-minute Monday warm-up, a differentiated practice sheet, and a fresh exit ticket to reassess mastery. Every item targets the top misconception your students revealed.

Which assessments work with the reteach pack generator?

Any assessment generated by AssessmentWiz that includes misconception data — quizzes, tests, benchmarks, formatives, exit tickets, DBQs, literary essays, NGSS tasks. If the source assessment does not have built-in misconception metadata, the AI infers likely misconceptions from the questions themselves.

Do I need student answers to generate a reteach pack?

No. The reteach pack is generated entirely from the assessment content and the built-in misconception data. You can optionally add your own notes about what actually happened in class to tune the reteach focus.

How long does it take to generate a reteach pack?

About 30 seconds. The generator uses Claude Sonnet to analyze the source assessment and produce all three sub-artifacts in one pass.

Can I refine the reteach pack after generation?

Yes. Type feedback into the refine box (for example, "make the stretch problems harder" or "focus on the fractions misconception, not the multiplication one") and the AI revises the pack while preserving the misconception focus.