The Importance of Teaching Kids to Code in the Age of Generative AI

Learning to code is like training your brain for the future of technology. It helps kids think smart & can help them use AI tools when they grow.

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In 2023, Generative AI has become a big part of our lives, and it’s expected to keep growing fast. It’s changing the way we work in all kinds of industries, and it’s even changing how computer programmers do their jobs.

Now, you can make apps and video games without knowing how to code. So, some people wonder if teaching kids to code was a waste of time after all the money and effort spent on it.

These skills will always be useful as technology keeps changing. With concerns about AI taking jobs and making people less important, coding education is more important than ever. But we need to focus on teaching the skills that help us work well with AI.

Since AI is making things faster and more innovative, we believe that teaching young people how to work with AI through coding is a fantastic chance for them to get ahead, especially if they come from disadvantaged backgrounds.

Claims that kids don’t need to learn to code, like what the OECD’s education chief Andreas Schleicher says, don’t understand what coding is really about.

Some people think that coders just write code, but even before AI, a coder’s job was more about using pre-written code, figuring out how it works, and making it fit a specific purpose. Now, AI generates a lot of that pre-written code. In both cases, coders need to think critically and solve problems.

So, why do young people need to learn to code? Well, Steve Jobs said a while back that everyone should learn to code because it teaches you how to think. And research from 2019 found that one month of learning to code and think computationally is like seven months of regular math and science when it comes to building thinking skills in kids.

For example, one project was about saving water in farming. We gave the students limited resources, and they came up with clever ideas like using straws and a motor to move water to plants, and bananas to connect humidity sensors to a computer that checks soil moisture.

These hands-on exercises teach important non-technical skills like talking to others, critical thinking, creativity, and problem-solving. These skills are crucial for using AI effectively in our ever-changing work world.

Amid all the crazy stories about AI, it’s important to understand how it really works. In one lesson, 12-year-old students teach a computer to tell the difference between pictures of cats and dogs.

They learn about biases that can come from uneven data, which can mess up the results. When students know how AI works, they can use AI tools better and very effectively in the future.

So, learning to code is still the best way to build the thinking skills you need to use AI tools well and grab new job chances, like “AI prompt engineering,” which the World Economic Forum says is one of the top 3 jobs for 2024.

This is especially important in communities that need help, where some people are way ahead in using AI for good things, and others are falling way behind.

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