Super-learning

It’s pretty common knowledge that our education system could be better. It still operates as it did many years ago.

I don't know how it happened, but I have an idea of what it will look like soon.

Before we dive in this post was inspired by watching and listening to this conversation between Alan Cowen CEO of Hume and Nathan on “The Cognitive Revolution” Podcast.

Highly recommend watching on YouTube also as they overlay Hume tech to showcase the realtime data overlay.

Let’s first compare two super simplistic ways of learning.

The first way of learning is more traditional. You sit in a room and get lectured on a topic you're not interested in. The lecture doesn't help you learn and isn't engaging.

This could be either reading out from a text. Or, it could be watching a non-interesting video that's out of date or doesn't engage you. You're also sat among 30 people. They all learn, at different speeds, and are at different knowledge levels.

Let's compare this to what a learning environment could look like. Now that AI is available to everybody.

If you're learning a topic, you want to be able to use the artificial intelligence to customise how you learn. It understands your exact knowledge levels. It also knows your preferences for the content you best learn from. This could involve reading text, watching videos, listening to audio, or looking at diagrams or animations.

You can also tailor how the AI delivers language to you. If you understand simple language, the AI will push you. If you're more advanced and can cope with complex topics, the AI will tailor its content to your learning style.

Now let's imagine that you wanted to learn about a new topic. Something epic, like Space Manufacturing.

The AI could start asking you questions to gauge your current knowledge. Then, it could serve up some images to see how you react to them. After that, it could show you a short video and play you a short audio clip. It may also speed up or slow down and change the type of language that it uses to deliver the messages.

At the same time, a tool like Hume AI can measure your facial expressions and emotions. It reads how you react to those messages. Then it feeds that back into the learning AI, which could then tailor the content it delivers to you in real time.

The loop repeats. 

AI serves new information. It reads your emotional reaction to it. Then, it tailors that information. Next, it learns again. Over time, it will refine your learning profile so it knows exactly how to deliver new topics to you. It also learns how to gauge your current and future potential understanding of the topic. Plus, it pushes you to learn more.

Let's compare this to a teacher teaching 30 people. They have different speeds and levels of understanding. This will lead to much better outcomes for everyone involved. In the future, AI will power personalised learning. It will be far superior to our current education system.

The great part about this?

We have all the technology and tools available to do this now.

If you’re building something in this space we’d love to talk to your at Interface.