SeeMe Tutor
Validate signalAI Tutor with Socratic Method via Live Camera
Current Assumption
"Students learn more effectively when an AI guides them through reasoning steps (Socratic method) instead of providing direct answers."
Target User
Students (K-12 and university) who need guided problem-solving support, not just answer lookup.
Phase
Signal Detection
Primary Signal
Decision Framework
○ Intent
Test whether students engage differently with a Socratic AI tutor vs. a direct-answer tool — and whether that engagement leads to better learning outcomes.
○ Assumption
Students learn more effectively when an AI guides them through reasoning steps (Socratic method) instead of providing direct answers.
○ Experiment Design
Deploy to a cohort of 30 students across two subject areas. Measure session length, return rate, and self-reported understanding vs. a control group using a standard Q&A AI.
○ Decision Gates
- If avg session > 8 min AND return rate > 40% -> Scale
- If students skip Socratic prompts consistently -> Pivot to hybrid mode
- If no measurable learning difference -> Stop
○ Current Decision
Validate core Socratic interaction loop with real students
○ Confidence LevelMedium
Current Position
- Phase: Signal Detection / Validation.
- Testing: Does the Gemini Live + camera combo enable a natural tutoring experience? Do students stay in the Socratic loop or abandon it?
- Decision Gates: If session > 8 min AND return > 40% → Scale.