Build a Math Intelligent-Tutoring Assistant for High Schoolers
Overview
What this challenge is about.
Build a math tutoring assistant with a 3-tier hint system and refusal pattern, then run a 5-student blinded eval on learning gains. Receive a verifiable certificate.
The scenario
The startup (around 18 people, late-seed, around 6,000 paying lycée families) competes with traditional tutoring at a fraction of the price and lives or dies on whether parents see real Baccalauréat-prep progress.
The Brief
What you'll do, and what you'll demonstrate.
Build and evaluate a Socratic math-tutoring assistant that hints rather than reveals, and beats a vanilla chatbot on learning gains.
Earning criteria — what you'll demonstrate
- Apply LLMs to intelligent-tutoring use cases with a structured hint policy
- Design prompt patterns that encode pedagogical principles
- Run a small mixed-methods evaluation with student testers
- Communicate trade-offs between answer-quality and learning-quality
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
AI in Education and Learning Analytics
Master · Applied Ai
Strong alignment
This challenge maps to AI in Education and Learning Analytics at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Intelligent Tutoring
Apply intelligent tutoring to solve real industry problems and demonstrate production-level capability.
- Prompt Engineering
Apply prompt engineering to solve real industry problems and demonstrate production-level capability.
- Llm Agents
Apply llm agents to solve real industry problems and demonstrate production-level capability.
- Evaluation Design
Apply evaluation design to solve real industry problems and demonstrate production-level capability.
- Pedagogy
Apply pedagogy to solve real industry problems and demonstrate production-level capability.
- User Research
Conduct interviews, surveys, and usability tests to uncover actionable user insights.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Engineer
Shipping an LLM tutoring product with a measurable pedagogy policy is the AI engineer project edtech startups hire on the strength of.
This challenge sharpens
- llm-agents
- intelligent-tutoring
- evaluation-design
AI Product Designer
Designing the hint UX and balancing helpfulness vs. learning quality is the AI product designer's mandate in edtech.
This challenge sharpens
- user-research
- evaluation-design
- pedagogy