Joe Liemandt

And so when you think about the biggest change is imagine getting personalized lessons geared for your interests.

And those lessons, though, are all based in the concepts of learning science.

Think of giving a kid an unending stream.

of questions and knowledge at 80 to 85% accuracy, which is sort of the zone of proximal development, which is you don't want to make it too hard where half the time I'm failing because you're going to get disengagement.

Talk to game developers.

Yeah, they've learned about this.

Yeah, you're just game developers.

You use the same theory as game developers is how do I keep them engaged?

And if it's getting too hard, let's make it a little easier.

Oh, it's a scaffolding issue where it's a prior knowledge issue.

I can

Do that.

I can use analogies that they know.

It's Taylor Swift or baseball or whatever their concepts are.

And I just give you an unending stream of questions that you're engaged with that you really like.

The amount that you are going to learn is 10 times more than you would passively sitting in class disengaged.

And so that's really what the magic is of being able to auto-generate content for each student based on their interest graph.

Now, there is cognitive load stuff also of when you feel confused and overloaded, that's usually when you're overloading your working memory.

That's also when careless mistakes come in.

And you can sit there and say, make sure, because every student's different, you tailor the question based on how many slots they have, how many chunks do they have.