So, I’ve previously mentioned the Learning & Development conference I’ll be participating in that starts late this month. And, their main sessions are not webinars, but basically mini-courses (with lots of variation). But they’ll also be having live sessions. Given that I’ve ‘asked and answered’ the question about where things go wrong, it’s time for me to get real. So I’ll be talking meaningful learning. Let me talk about each more.
First, of course, meaningful learning is about getting the learning science right. I’ve argued (and continue to do so) that we’ve got to fix the core of our learning designs before we worry about fancy new hardware like AR and VR. If the core’s wrong, we’re just gilding bad design (and gilded bad design is still bad design). If we don’t focus on the right objectives, manage attention, set challenge appropriately, provide the right models and examples, and most of all have the right practice, we’re wasting our time. As I’ve also said, once we’ve got that right, we’ve got lots of ways to implement it.
So, the asynchronous course I’ll be offering are the basics of learning science. Our information processing cycle, and the artifacts of our cognitive architecture. We’ll talk those things above, and have fun doing it! You’ll get to experience several of the phenomena we’re talking about. And process the takehome messages.
For the live session (at two different times, we’re spanning the globe!), yes, I’ll talking meaningful learning. It is still based upon the contents of Engaging Learning (and previous posts), but a) pulled out of games into specifications for regular learning, b) expanded with all I’ve learned since then (and I’ve been continuing to explore what’s known and what that implies), and of course c) it’s, well, live!
If, by the way, you are thinking about attending the conference, but have some struggles with cost, get in touch with me. I may have a way to help out ;). I hope to see you there, whether you want to be talking meaningful learning, or for any of the other myriad reasons.
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