Challenges
September 18, 2025

Mastery Quest: Reinvent Learning

Prototype an adaptive quiz engine with tailored explanations

Objective

Education is changing fast, and artificial intelligence is opening the door to new ways of learning. Your task in this challenge is to prototype an adaptive quiz engine that changes in difficulty based on user responses and provides tailored explanations. The aim is to advance our Responsible Innovation Goal: Reinvent Learning for a Changing World — making education more personalized, effective, and accessible so that more people can gain the skills they need to succeed in the age of intelligent systems.

In collaboration with OpenAI

We are excited to partner with OpenAI, a global leader in artificial intelligence research and application. OpenAI provides powerful models and tools that enable developers to create applications that adapt, reason, and learn alongside their users.

The winner of this challenge will receive a $300 credit for the OpenAI API

Important Dates

Challenge opens:

September 22, 2025 at 9:00am ET

Challenge closes:

October 5, 2025 at 11:59pm PT

What to Build

  • An adaptive quiz prototype that accepts a set of questions.
  • The difficulty should automatically adjust based on user performance.
  • Each answer should trigger a personalized explanation or learning resource.
  • The goal is a working prototype that shows how AI can make learning more dynamic and responsive to individual needs.
  • Requirements

    Your submission should include:

  • GitHub Repo – with clean, commented code and a README explaining setup.
  • Demo/Explainer Video – a 2–5 minute walkthrough (e.g. Loom, YouTube, or other screen recording).
  • Submissions

    We encourage you to work in the open-source spirit. Share your project publicly and tag us:

    • Instagram, Threads, X, Facebook, TikTok, YouTube
    • Use hashtag: #MasteryQuest
    • Tag: @bletchleyinstitute

    Alternatively, if you’d prefer to submit privately, email your repo + video to: masteryquests@bletchley.org

    Judging Criteria

    Submissions will be evaluated on:

    1. Creativity – Did you bring a fresh, innovative angle?
    2. Impact – Does the prototype demonstrate how AI can make education more adpative and effective?
    3. Execution – Is the prototype functional and well-documented?
    4. Clarity – Does your demo explain the idea in a way others can understand and build on?

    Recognition & Rewards

    Winners win prizes! All category winners will receive:

    • $300 in credits for OpenAI'sAPI
    • Mastery Quest winner badge and certificate to show off on your profile
    • Social media feature - your work shared on our channels as a challenge winner
    • Blog spotlight - we'll highlight top entries in a featured post
    • $1,000 scholarship to Flatiron School's Artificial Intelligence program

    Under 21 category winners will also receive:

    Recommended Prototyping Tech Stack

    Unsure where to start? Try starting with our rapid AI prototyping tech stack. These are the tools we use most often at the Institute for quickly moving from idea → prototype → demo. You don’t have to use all of them, but they’re excellent building blocks for early career engineers:

    • v0, Vue.js or Next.js, Vercel – Rapidly prototype and host web user interfaces. Build clean, modern front-ends and deploy them instantly.
    • Cursur – AI powered development environment that accelerates coding and helps you structure your project.
    • VS Code + GitHub Copilot – Another great AI-assisted editor for speeding up development, debugging, and experimentation.
    • Node.js + Express.js – A lightweight backend and API layer to connect your front-end, databases, and workflows.
    • Clerk – Drop-in authentication and user management (sign-up, login, identity).
    • n8n – No-code/low-code workflow orchestration. Automate background tasks or connect APIs without heavy lifting.
    • OpenAI (LLM) – Power your app with natural language generation, summarization, reasoning, or chat capabilities.
    • Zep – Add memory to your AI applications. Store and recall long-form conversations, maintain context, and extract structured topics.
    • MongoDB – Flexible NoSQL database for storing persistent application data, user content, and state.
    • Render.com – Simple hosting for front-ends, APIs, and workflows all in one place.

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