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Your personalized AI tutor with adaptive quiz generation and closed-loop feedback.

LeoEd AI recommends what to learn next, controls difficulty progression, grades student work through AI, and writes outcomes back into learner-state analytics.

Try AI-Recommended QuizView Recommendation Rules

LEO Core Philosophy

Learn

Capture learner state by subject with mastery and error signals.

Evolve

Adjust quiz strategy through AI recommendation and rule-based targeting.

Optimize

Use AI marking feedback to reinforce weak topics and next-step materials.

Core Workflow Architecture

  1. Read student_subject_state and student_subject_attempt_stats for one student-course pair.
  2. Generate quiz session using AI recommendation, manual difficulty counts, or specific rule mode.
  3. Collect answers through typed text, drawing, or photo upload.
  4. Send question + response + rubric to Gemini grading workflow.
  5. Write scores and comments to session feedback summary and learner-state tables.

Go-To-Market Roadmap

Phase 1: Pilot with DSE Maths 1 and core adaptive quiz loop.

Phase 2: Expand content lifecycle (draft/review/publish), exports, and notifications.

Phase 3: Add role-based identity, school tenancy, and longitudinal outcomes dashboard.

Core Team

Product Lead

Leo Lam

Adaptive learning strategy and pilot delivery.

Learning Science

Curriculum Analyst

Subject dependencies, mastery rubric, and progression policy.

AI Engineering

Platform Team

Quiz generation, OCR ingestion, and explainable scoring feedback.

Start The Pilot

Enter with a learner ID, run a targeted quiz session, and inspect write-back analytics across student and admin dashboards.

Open Student DashboardLaunch Quiz Platform