I’ve been pleasantly surprised by how open people have been to virtually connecting in our new pandemic world. I recently spoke on a panel about bias in artificial intelligence, after an organizer reached out to my CEO at Octavian Technology Group looking for a technical expert. After the panel, I got a LinkedIn message from Shane Krukowski, co-founder of edtech firm Headrush Learning, an agile project-based learning management system. We set up a virtual networking coffee to get to know each other. No agenda.
I don’t know a lot — or even a little — about education theory, or application. What I do spend a lot of time thinking about is data science. What to use it for, how to do it, how to evaluate it, how to properly staff it, you name it. Shane knows education, and lives and breathes it in his work. As I talked about what I think makes good data science, he saw connections to “deeper learning,” as well as the idea of “jagged people” from a book and TED Talk by Todd Rose. (The theme that “average is a statistical myth” from Rose’s book speaks to my data-nerdy soul.) As Shane explained those concepts to me, I got to think through how they apply to data science and got a fresh perspective on things that are normally my day-to-day.
We took those ideas and put them in an article that was published on GettingSmart.com, a media channel for innovation-minded education leaders. I hope you have a little bit of the fun reading it that I had in thinking it up during a surprise Covid collaboration: