What was your original, pre-AI, what was your approach to research? I only touched on this in your intro, but could you just flesh out a bit more about what sort of methodologies would you have been using? And how has your approach to research changed? Is there anything that AI has really shifted for you in the way that you would conduct ed research moving forward?

Yeah, it's a great question.

So, I mean, before AI, I was mainly doing academic integrity research.

And so we were looking at things like the relationship between language proficiency and the likelihood of being accused of plagiarism or, you know, the effect of academic integrity training on student understanding.

And generally, I was I was a bit of a mixed methods researcher.

So I'm not a statistician.

I'm really bad at stats, but I find them really interesting and I want to be good and I try.

Did you see AI and the way you're talking about it in the book as sort of helping with any of these problems? Or do we come back to this sort of same issue of having to check the data and sort of your enthusiasm slightly cooling around its affordances?