According to innovation diffusion theory, 16% of any population will consist of “innovators” and “early adopters,” two psychographics that leap in feet first when they have access to an innovation.
But what about resources for the other 84%? …
AI Advice for The 84% Read More »
Given how quickly the AI landscape changes, it might seem counterintuitive to invest time in reading books on the subject. Yet a handful of books will reward your attention.
And at least one book on AI in education is not worth bothering with.
As you head into the summer with more time to read, I hope you’ll find these recommendations useful…
Summer reading: ai in education Read More »
In the evolving landscape of education, there can be no definitive approach to adopting generative AI. But plenty of misguided methods can serve as cautionary tales, guiding our exploration towards more informed and impactful uses.
At The Episcopal Academy’s Center for Teaching and Learning (CTL), we adopt a philosophy of curious enthusiasm and pragmatic optimism, continually learning and refining our approaches to technology in education.
What Can Generative AI Teach Us About The Science Of Teaching And Learning? Read More »
In our recent conversation about AI in education, Jennifer and I agreed that education is at the threshold of a “before and after” moment. We talked about four key takeaways for school leaders:
Education’s “before and after” moment Read More »
