AdaptiveTest
by Woodstock Software LLCAI-native adaptive testing platform using 3-Parameter Logistic IRT models with real-time theta estimation for personalized K-12 assessment.
AI Depth Score Rationale
AI-First: The product is fundamentally AI-native — IRT-based adaptive testing with real-time theta estimation, AI question generation, and personalized learning recommendations are all core to the product's existence. It could not function without AI.
Standards Compliance (5)
| Standard | Category | Level |
|---|---|---|
| LTI 1.3 / LTI Advantage | interoperability | Certified |
| OneRoster 1.2 | interoperability | Certified |
| QTI 3.0 | interoperability | Certified |
| FERPA | compliance | Self-Reported |
| COPPA | compliance | Self-Reported |
AI Capabilities (5)
3-Parameter Logistic IRT model with real-time theta (θ) estimation for adaptive question selection; Model: Claude (Anthropic) + 3PL IRT
adaptive personalizationStandards-aligned question generation with Bloom's taxonomy tagging; Model: Claude Sonnet 4
content curriculumPer-student personalized learning plans based on assessment results and ability estimates; Model: Claude Sonnet 4
adaptive personalizationOptimal question selection via Fisher information maximization combined with AI scoring; Model: Hybrid (IRT + Claude)
assessment feedbackAbility trend tracking and standard mastery prediction from assessment data; Model: Classical ML (IRT)
analytics insights