dale lane

I’m working on interactive visualisations for Machine Learning for Kids that explain more of the machine learning models that children create.

Machine Learning for Kids is a platform to teach children about artificial intelligence and machine learning, by giving them a simple tool for training machine learning models, and using that to make projects using tools like Scratch. I’ve described before how I’ve seen children learn a lot about machine learning principles by being able to play and experiment with it.

But I still want the site to do more to explain how the tech actually works. I’ve done this before for the decision tree classifiers that students train for numbers projects but with this new feature I’m trying to explain neural networks.

I’ve recorded a video run-through of what I’ve done so far. The screenshots below link to different sections of the video.

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Machine Learning for Kids now includes interactive visualisations that explain how some of the machine learning models that children create work.

The tool lets children learn about artificial intelligence by training machine learning models, and using that to make projects using tools like Scratch. I’ve described how I’ve seen children learn a lot about machine learning principles by being able to play and experiment with it. But I still want the site to do more to explain how the tech actually works, and this new feature is an attempt to do that.

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Machine Learning for Kids now includes support for a curated collection of training data sets, to enable children to create different types of machine learning projects.

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The tool lets children make things using machine learning. The principle I’ve worked to is that children train their own machine learning models, as doing this is a great way to teach them about how this tech works.

Preparing their own training data is a useful exercise, but it is time-consuming. Project worksheets I’ve written so far have all been written with the assumption that the student will prepare the training data within a single lesson. This has been a limiting factor on the kinds of ML projects I’ve been able to include.

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