I'm a little surprised at how little love FP gets at the Courseras, EDXs and Udacities of the world. The only thing that's going on at the moment is Martin Odersky's FP principles in Scala.
If there are videos I listen to them while I am doing the homework associated with the video, but usually I get the homework done before the video finishes.
Disclaimer: I can probably get away with this because I already have a PhD and so I have a lot of practice in learning things
My roadblocks to doing this would be that I wouldn't be able to pay attention to what's going on while thinking about a homework problem, that some things need to turn over in my head before I understand it at the level needed to apply it, and that solutions often take a long time to type up, especially proofs and programming assignments.
Of course whether I finish the exercises before the lecture completes really depends on the course. If it is implementing a simple algorithm and devising some test cases for it then it is often the case. If it is implementing an ML algorithm over a large data set, of course not.
Also I have been working in open offices for a long time, so I have learned to focus when there is a lot of background noise. I usually do not start paying attention to the lectures unless it sounds like there is a good joke, or I am getting stuck doing the exercises.
I also do not actually watch the lectures, I only listen to them unless I get stuck in the exercises.
I prefer learning from books. :-)
I was surprised to find how many more talks and whatnot I could get through just by loading them up on my phone and flipping them on when doing something else which required little attention. YMMV. :)
I've tried that sort of thing, but something in my head just works so much better for me when reading or talking to people... podcast and video just basically make my mind wander, even if it's the coolest thing ever.