See how Tappy's AI tutor Mira works with a 7th grader who's stuck on fractions — then see the dashboards your teachers and administrators use every day.
A walkthrough of the teacher dashboard and district-level admin views — the tools that turn student data into actionable classroom intelligence.
Tappy isn't guesswork. It's built on decades of education research and validated with real student data.
In 1984, Benjamin Bloom showed that one-on-one tutoring improves student performance by two standard deviations. The problem was scale — you can't hire a personal tutor for every student. Tappy's reinforcement learning engine delivers personalized, 1:1 adaptive tutoring to every learner in your district simultaneously.
Bloom, B. S. (1984). "The 2 Sigma Problem." Educational Researcher.
Our research paper demonstrates how a simulated teacher agent learns optimal strategies for fostering creativity and critical thinking through Bloom's Taxonomy and a Creativity Matrix, building on advances in Group Relative Policy Optimization (GRPO).
Tappy Labs (2025). "Simulating Adaptive Pedagogy for Creativity and Critical Thinking via Reinforcement Learning." Preprint.
Students who learn by conversing — not typing — show stronger concept retention and deeper engagement. Tappy's voice interface lowers the barrier for struggling learners who may avoid text-based tools. Mira adapts her pace, tone, and teaching approach in real-time based on what she hears.
VanLehn, K. (2011). "The Relative Effectiveness of Human Tutoring." Educational Psychologist.
Every student learns differently. Tappy detects whether a student responds best to visual analogies, worked examples, or Socratic questioning — and adapts within the same session. The system measures teaching effectiveness through energy scores (low energy = learning is flowing) and adjusts continuously.
Desmarais & Baker (2012). "A Review of Learner and Skill Modeling." Advances in Intelligent Environments.
Everything your principals, teachers, and board members will want to know — in 7 minutes.
When a student says "I don't get it," Mira immediately changes her approach. No scripts. Detects confusion and scaffolds down, then builds back up.
Students talk naturally with Mira — like a patient teaching assistant who never makes them feel bad for asking the same question three times.
Measures growth in thinking quality, not just right answers. Tracks students from Recall to Analysis to Creation in real-time.
Misconceptions flagged automatically with ready-made lesson plans. Teachers know exactly who needs help, with what, and what to try — before the bell rings Monday.
Per-student cost, intervention cost avoided, teacher time saved — exportable reports with the exact numbers your board needs to approve the investment.
Token economy with streaks and breakthroughs. Engagement flags surface inactive students so teachers can intervene early, not after the semester.
We hear these from every district leader. Here are the straight answers.
FERPA and COPPA compliant. Parent dashboards show progress metrics only — never conversation content. Data export and deletion at any time. No student data is used to train AI models.
Teachers don't need training on the student side. The dashboard is designed for a 5-minute check during prep period. ROI calculations speak their language: "10 minutes of re-teaching saves 48 minutes of individual correction."
Start with one school — 200 students, 8-10 teachers. Two weeks of onboarding. Teachers see dashboard data within the first week. After one month, review numbers together and decide on expanding district-wide.
A fraction of what you'd spend on one additional reading specialist — and it serves every student, not just the five on a specialist's caseload. The ROI dashboard calculates your exact savings.
Math, science, language arts, social studies — any subject a student can ask about. Not locked to a curriculum. Mira adapts to what the teacher is assigning and meets students where they are.
Voice-first design feels like talking to a friend, not doing homework. Curiosity cultivation mode sparks deeper inquiry. Engagement metrics flag inactive students so teachers intervene early.
200 students. 8 teachers. Real data in one week.
We'll set up a pilot at one school, onboard teachers in a 30-minute session, and review the numbers together after month one. No long-term commitment required.