Building Things that Work
I think the best way to understand how something works is to try to build it yourself.
That is what drew me to coding. I have been learning at a coding school, where I work with MIT App Inventor, a platform that lets you build real mobile apps using block-based programming.
The thinking behind it is the same whether you are building something simple or something complex. You have to work out what triggers a point, what ends the game, what the restart resets and in what order.
Breaking a big idea into tiny logical steps, checking each one before moving to the next, is what I have come to love about computational thinking.
In 2024, my younger sister Ellis and I competed in the National Robotics Competition under the theme Water Heroes. We called our project Soak it Up: Sponge Cities. We started by asking a real question. Cities like Beijing draw so much water from the ground that the soil beneath them collapses and compacts. Beijing sinks four inches every year. When it rains heavily, the city floods. We wanted to understand why, and what could be done about it.
Our answer was sponge cities, urban areas redesigned with green spaces, permeable surfaces, plants and natural drainage so that the earth can absorb water again instead of letting it run off into floods.
We also proposed making rainwater harvesting compulsory for homes above a certain size, so that households could meet their own needs without drawing further on the ground.
Then we had to build a robot. We planned it together, drew rough models, chose our roles, selected parts, assembled the robot, and then spent hours writing code. We used modular coding and built in error handling so that the robot could manage multiple sensors and motors at the same time.
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