Root-Cause Misconception Clustering
Proposes bounded instructional groupings from current authorized evidence for educator review; it does not assign fixed learner labels.
Assessment & Reteaching
Closed-Loop Misconception Diagnosis & Vision Paper Scanner
Diagnose Why Students Struggled, Digitize Paper Work, and Generate Targeted 10-Minute Reteach Capsules.
Why this workflow stays connected
ClassLattice binds reviewed evidence to an educator-authored hypothesis and keeps reteach and Form B proposals editable and approval-owned.
Core capabilities
Bounded Reteach Proposals
Generates targeted hands-on intervention activities and scripted discussion guides specifically designed to unblock student confusion.
Parallel Form B Re-Assessment Generation
Creates fresh re-assessment drafts tied to the same adopted standard so an educator can review new evidence and record a human judgment.
Vision Paper Evidence Scanner
Snap photos of handwritten student exit tickets or lab drawings. AI transcribes student work and provides rubric-assisted scores for teacher review.
Workflow comparison
| Capability | Disconnected workflow | ClassLattice |
|---|---|---|
| Error Analysis Depth | ⚠️ Percentage scores only | ✅ Root-Cause Misconception Scan |
| Reteach Generation | ❌ Manual teacher prep | ✅ 10-Min Tier 2 Mini-Lesson |
| Re-Assessment Generation | ❌ Manually write Form B | ✅ Automated Parallel Form B |
| Paper Work Digitization | ❌ Manual bubble sheets | ✅ AI Vision Handwritten Scanner |
Frequently asked questions
Does AI automatically assign grades without teacher review?
No. AI outputs remain proposals: the educator reviews the rubric criteria and evidence and confirms every score.
How fast can I scan handwritten exit tickets?
Capture time depends on page count, image quality, device, network, and provider latency. Each image and proposed extraction remains visible for educator review.