Active learning

So definitely we're interested in this more broadly, but for the agents program, one of our sort of founding premises is that communication really underlies how coordination actually works.

So we were just talking about how there's this active learning component where one agent can ask a question to another agent to leverage their information.

So as the agent's technology develops, there is still a challenge with long context, long term tasks.

And the one interesting thing that I'm personally excited to watch for and see in these experiments is how agents can leverage each other's context windows to maybe improve their capabilities and Another thing is sequentially carried out tasks where one agent passes down a message to the other is different than when you allow for a dialogue.

And we can't do that any longer.

We have got to get back into, you know, bringing back that active learning.

How are we engaging and going from passive to active learning? Now, this is just based off of research that we know that's been proven out there in theoretical research that how we engage students and get them into applied learning.

It's what we know about learning.

learning sciences, the more that we engage and are involved and put it to real life and add that information and synthesize and evaluate and we develop those critical thinking skills, that's where we're going to see that largest shift into mastering those skills.

Educator is the one who's that decision maker in the process.

They are about all of those things that I just talked about.

They're about getting to that active learning engagement and They are about finding ways to be able to make that learning process visible, not only for the educator, but also the learner.