Want to build an AI tool that will seriously impact your digital learning program? Right now? For a price that you may well have in your professional development budget? I’m launching a project to prove we can build a tool that will change the economics of learning design and curricular materials in months rather than […]
I’m not even sure “race” is the right term.
A friend asked me for advice on how to deal with a long-standing problem with an EdtTech interoperability standard. The obvious reflex answer of the week is “AI.”
So I thought about it. What does AI mean for technical interoperability standards and the knowledge workers—tech and otherwise—who depend on them? The answer isn’t simple.
EdTech is quiet at the moment. If you filter out the AI hysteria, it’s eerily quiet. Lot’s of noise, but no signal.
Is this a pregnant pause or something else? How can we interpret it?
Everything old is new again. And vice versa.
The real threat of students cheating with programs like ChatGPT is not that they’ll get away with it. Rather, the threat is that, in getting away with it, they prove that they are training themselves for jobs that can easily be replaced by an algorithm.
The combination of rapid shifts in workforce demand and dwindling supply of traditional students is creating conditions that will drive change.