Mike Caulfield responds to the argument that "you need to know things in order to learn from an AI." This gets it backward, he says. To succeed means that "as the critics admit, I cannot do that without knowing things which means I have to get on learning things... The system you want in a classroom is one that allows you to amazing things if you buckle down and do the intellectual work." It takes a bit of reading to get to this point - the extended horror movie classification scheme example he uses to introduce the topic doesn't speak to me at all. But yeah - we want challenges that force us to figure it out, and usually, that means a lot of reading, thinking, trial and error, with or without AI. This idea - he grounds it in Vygotski's zone of proximal development (ZPD) - isn't something teachers learn when they learn to teach with AI. Instead they learn about "a system that continues to model these as ways to shovel information into students rather than engines of exploration."
Today: Total: [Direct link] [Share]
