Studdibuddi
School Pilot Program Guide
Launch your AI-powered learning transformation with confidence
Quick Start Process
- Week 1: Initial setup and teacher training
- Week 2-4: Pilot implementation with selected classes
- Week 5: Data collection and feedback sessions
- Week 6: Results review and scaling recommendations
What You Get
- Actionable Alerts: "2 students show low proficiency in X" with specific names and recommended actions
- Root Cause Diagnosis: Not just "Sarah failed Probability" but "Sarah is failing the definition of an Event"
- Zero-Touch Analytics: Dashboard populates automatically from student activity—no extra work
- AI Transparency: Review full AI tutor transcripts. See what students are actually asking.
Implementation Tips
- Start with 1-2 teachers and 2-3 classes
- Include different grade levels for comprehensive data
- Schedule weekly check-ins for feedback
What We Track
- Usage Patterns: Student login frequency, time-on-task, and practice consistency
- Proficiency Data: Concept-level mastery tracked via Knowledge Graph with Bayesian inference
- Error Analysis: Common misconceptions and prerequisite gaps identified automatically
- Teacher Engagement: Dashboard usage, assessment creation, and transcript reviews