Overview

Challenge the tutor. Reveal the misconception.

Status: Hackathon-ready prototype

Core idea: Identify the learner’s misconception, target it, and verify recovery.

🎯 Problem

Traditional learning systems are often optimized for correctness, scores, and topic-level progress.

But the same wrong answer can stem from different mental models.

Key question:

Can an AI tutor identify the reasoning error beneath an incorrect response and adapt the next learning step to that specific misconception?

💡 Solution

TutorTrap creates a closed-loop diagnostic tutoring experience:

Challenge → Reason → Diagnose → Intervene → Recover

The system deliberately presents a plausible incorrect claim to elicit reasoning before surfacing the misconception.

🧠 Product thesis

Wrong is not the diagnosis. The misconception is.

TutorTrap treats misconceptions as the unit of adaptation.