🚀 Building the "Fun Function Machine": An AI-Powered Journey into Interactive Learning

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Have you ever wanted to turn a simple math function into something dynamic, animated, and fun? That’s exactly what I set out to do—and thanks to the help of AI, this journey was faster, smarter, and a whole lot more exciting. This post unpacks how I built the “Fun Function Machine,” an HTML5 interactive that lets students guess the rule based on inputs and outputs—like a digital twist on the classic function machine puzzle.

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🧠 The Spark: From Idea to Interactive

The idea was straightforward:
Create a web-based tool where students input numbers, watch them animate through a “machine,” and observe the output. Based on this, they would deduce the hidden rule. It’s a staple in early algebra and pattern recognition tasks—but my goal was to make it engaging, visual, and responsive enough for the Student Learning Space (SLS).

But here's the twist: I didn’t build it alone. I collaborated with AI models like ChatGPT and Gemini to co-design, debug, style, and optimize every line of code.

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🤖 Co-Coding with AI

Instead of starting from scratch, I used AI to scaffold the architecture:

• HTML layout for clean structure

• CSS for responsive design and playful theming (hello Comic Sans and cheerful buttons!)

• JavaScript to animate the number blocks, apply function rules, and manage interactivity

What would’ve taken days of tedious trial-and-error became a rapid, iterative flow. I’d prompt the AI with things like:

“Add more variation in the function rules, like squaring and cubing.”

or

“Make the animation smoother, and give feedback if students guess correctly.”

Within seconds, the code updated. Not always perfect, but good enough to test, tweak, and expand upon.

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✨ Key Features (Powered by AI Collaboration)

• 🎲 Random Rule Generator: Functions like x + 1, x * 2 + 1, x², and x³ appear randomly.

• 🧱 Animated Blocks: Numbers flow through a visually styled machine, giving students a feel of "seeing the math happen."

• ✍️ Free Text Guessing: Students can type in rules in multiple formats (e.g., x*2, 2x, double), and the system uses AI-generated pattern matching logic to interpret responses.

• 🧠 Immediate Feedback: Correct guesses increase your score; wrong guesses prompt reflection.

• 📱 Mobile-Friendly Design: With responsive CSS, it works well on phones and tablets—perfect for SLS.

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💡 What AI Actually Helped Me Do

Here’s a breakdown of what AI accelerated:

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🔁 From Static to Interactive, in One File

One of my goals was portability—especially for uploading to learning platforms like SLS. That meant:

• No external libraries

• All-in-one .html file

• Fast load time

AI helped streamline everything into a single self-contained HTML page, ready for embedding or sharing.

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📚 Beyond the Machine

This isn’t just about one interactive. It’s a proof-of-concept for AI as a creative coding partner. Whether you’re building simulations for physics, games for grammar, or tools for chemistry—AI can accelerate your vision.

I now routinely co-build with AI, treating it less like a chatbot and more like an intern who’s surprisingly good at front-end logic and style sheets.

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🔗 Try It Yourself

Explore the Fun Function Machine:
👉 [Insert Your Hosted Link Herehttps://sg.iwant2study.org/ospsg/index.php/interactive-resources/mathematics" target="_new" rel="noopener" class="" style="color: rgb(0, 158, 184); font-family: "Helvetica Neue Light", HelveticaNeue-Light, "Helvetica Neue", Helvetica, Arial, sans-serif; outline: none; text-decoration: none; transition: color 0.3s; display: inline;" data-end="4291" data-start="4135">https://sg.iwant2study.org/ospsg/index.php/interactive-resources/mathematics

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❤️ Credits

Created with guidance from:

• ChatGPT & Gemini (for code scaffolding and logic suggestions)

• The vibrant OSP community (for inspiration)

• My curiosity (for not settling on boring worksheets 😄)

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What’s Next?
I’m looking to add difficulty levels, hints, and maybe even AI-generated feedback per student attempt. The possibilities are wide open—and the code is ready to grow.

 

 

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