MoonCampaign by Oliver (8 years)
Hello everyone! My name is Oliver, and my favorite animal is a cat. Today I am excited to present my project called Dice - O -.Matic I created this project because I needed dice for a board game, but there were no dice left. So, I used Python and programming to make my own digital dice. Daisomatic randomly chooses two numbers from 1 to 6 and displays them on the micro. Then it adds the two numbers together and shows the answer. After that, it makes a tick sound and plays a ringtone. My project uses random numbers, variables, and simple calculations to make a fun digital dice game.
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Hello everyone! My name is Oliver, and my favorite animal is a cat. Today I am excited to share my project called Dice -O - Matic. It is a digital dice project that I created using Python and a micro.The idea for my project came from a funny story. One day, I wanted to play a board game with my cat, but when we went to the shop, there were no dice left. So, instead of giving up, I decided to make my own digital dice using Python. When my cat saw the Python code, he got scared because he thought I was talking about a real snake! I explained that this Python was a programming language.
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Everything parents need to know about building future-ready skills in an AI-powered world.
The future of work is changing rapidly. According to the World Economic Forum's Future of Jobs Report 2025, while AI is expected to create 69 million new jobs globally by 2030, it is also projected to eliminate 83 million roles, especially those involving routine and repetitive tasks. The message is clear: success in the future will belong to those who can think critically, solve complex problems, and adapt to change.
While AI can automate tasks, it cannot replicate uniquely human abilities such as:
These are the future-proof skills every child needs.
MoonCampaign gives students (ages 7–16) hands-on opportunities to build real projects using technology. Along the way, they develop:
Project-based learning pushes children beyond memorization. It teaches them to experiment, debug mistakes, solve unexpected problems, and think independently. When kids build, test, fail, improve, and present their work, they develop the exact mindset needed to thrive in an AI-driven world—not just as users of technology, but as future creators and innovators.
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