Nine purpose-built workflows that adapt to what you're teaching, who you're teaching, and why. Create differentiated, AI-recommended assignments for every student group — in less than 60 seconds.
Watch how educators create differentiated assignments within 60 seconds.
Each routine encodes pedagogical best practices — smart defaults, step order, and differentiation — so you spend time teaching, not configuring.
Assign a full chapter for self-paced work. The whole unit is assigned automatically.
Activate prior knowledge with a short, low-stakes item set. Instant feedback.
End-of-lesson comprehension check. Quick formative signal on what landed.
Each group gets items in their zone of proximal development. Per-cluster customization.
Skill retention across past and current topics. Multi-topic clustering for mixed review.
Gauge what students know before a unit. Same assessment for all — feedback held until review.
Measure mastery after instruction. Summative defaults for fair cross-class comparison.
Stretch advanced learners. Students selected first, then topics — know who before deciding what.
Fill prerequisite gaps. Student-first flow with per-cluster topic targeting.
Most routines follow Units → Students → Activities → Settings. Challenge and Remediation flip to Students first — know who before deciding what.
Cluster students by performance, then let AI recommend the right activities for each group.
Click "Generate Clusters" and AI groups students by mastery and engagement. Review the groups, select any student, and move them between clusters with one click.
Click "Recommend Activities" and AI picks level-matched items for each cluster. Per-cluster checkboxes let you toggle exactly which groups get each activity.
Every routine pre-fills settings aligned to its purpose. When clusters exist, toggle per-cluster customization for different due dates, points, or feedback rules.
Ms. Rodriguez teaches AP CS A. Her students are midway through arrays, but some are still shaky on loops. She needs four difficulty levels for this week's practice.
She clicks Practice. The workflow configures for clustered, AI-recommended practice.
She selects "Arrays & ArrayLists" and "Loops & Iteration." Performance bars show class mastery.
AI groups 56 students into four clusters by mastery. She moves one student between groups.
AI recommends 10 activities with per-cluster checkboxes. She toggles a few to fine-tune.
Defaults are pre-filled. She tweaks one due date and publishes. Four assignments created automatically.
| Feature | With Routines | Without Routines |
|---|---|---|
| Assignment types | 9 purpose-built routines with smart defaults | One generic workflow |
| Differentiation | AI clustering — multi-level assignments in one flow | Separate assignments per group |
| Activity selection | AI recommendations with per-cluster checkboxes | Manual search and selection |
| Settings | Pre-filled per routine, per-cluster overrides | Configure from scratch every time |
| Time to create | One workflow → multiple tailored assignments | Separate workflow per group |
Start with the free Educator Basic tier and create your first differentiated assignment in minutes.