Teacher Adriana

A teacher who has taught English and science to everyone from kindergarteners to graduate students — and who has researched AI herself. The depth she built at Yonsei, UCL (AI) and KAIST, turned into lessons a 7-year-old can understand.

Depth built in three places

The place that knows Korean students best, the place that taught AI at a world-leading level, and the place that studied learning itself.

You’ve only learned it if you can explain it

Children explain what they made in English themselves. The moment they put it into words, the knowledge truly becomes their own.

I leave room to fail

Getting stuck, fixing it, and rebuilding is where the real learning is. With just 4 students, I can wait at each child’s own pace.

I teach the principles

The more AI does the work for us, the more I build the ability to understand why a tool works the way it does — not just how to use it.

I met English not as an exam subject but as a tool for thinking and making. So Makerlab’s lessons don’t start with memorising words. The moment a circuit lights up, a robot moves, or code runs, the child wants to explain it. I believe that wish to speak is the fastest path to English opening up.

What I learned by researching AI myself is that, in the end, no technology beats human curiosity. The tools keep changing, but a child who has built something themselves isn’t intimidated by any of them. I started Makerlab to grow that sturdiness, step by step, from age 7.

It’s the same reason I cap each class at 4. Every child gets stuck somewhere different, and has their breakthrough at a different moment. I want to be right there, not to miss it.