It’s very interesting.
Fran then asked about the point that because processing more than one type of data increases cognitive load, we should avoid it.
I’m not entirely sure I understand the article’s point, as I haven’t read the original research. But that won’t stop me blabbering on.
I’ve just read that bit, and I reckon it means:
- Different types of data are processed in different ways (eg auditory info – sound – and visual info – stuff we see).
- Processing more than one type of info at a time increases cognitive load (ie it’s more work.)
- Therefore (this article suggests) we should only present data in one form at a time.
In our case, that’d be just scatting a rhythm, or just dancing a rhythm, not dancing and scatting.
I think I can dig this, especially for total beginners who are just learning to dance for the first time. They can be learning to process visual info (bodies in motion), auditory info (clapping), etc etc etc.
So what we’ve found (coincidentally – I’d never heard this theory before), is that we demonstrate one thing at a time. eg we dance the whole move. Then we clap a rhythm. Then we may tap the rhythm with our toes. Then we may step it out with no sound, but shapes. This way the info (ie the rhythm) comes to them as lots of different data types, but one at a time.
Having said all that, as we know, dancers are super good at processing a few different types of data at once: we can be led through a routine and see the shapes, we can listen to the music and hear the melody, we can feel the physical cues and respond with the shapes.
But these are skills we come to after practicing and learning for a while.
I think retention (memory) is under-emphasised in our skill sets. I mean, we learn complex rhythms (which are essentially like learning complex mathematical formula or series of words), retain them, and then repeat them back with or without variation. We also learn whole sequences of steps during our dancing years, and then recreate or revise them in real time.
So one thing we learn when we do a dance class is to see/hear/feel data in one way, then retain that ‘way’ and information while we’re watching and retaining a section, third, fourth set of data. Then we synthesise it all and do it with another human being surrounded by heaps of other human beings also dancing or playing music!
That’s some seriously heavy cognitive load. So one thing we need to do in classes is teach students how to cope with a) the pressure of increased cognitive load, b) how to actually carry increased cognitive load. And lindy hop is awesome because it’s so fun: it rewards increased cognitive load management with good endorphines and happy times. :D
We can also just start with simpler tasks, then increase the complexity. For example, begin with one type of data at a time, then gradually increase the combinations. I think we do this with our beginners. So we may just give them one rhythm in the baby version of i-go, you-go, but as they get more experienced, we increase the number of things they have to do during that task (eg the next step in this game is to have the pair take turns dancing a rhythm at each other, in real time, so they have to invent a rhythm while they’re watching and retaining their partner’s rhythm. The simple solution to this is to take something from your partner’s rhythm and build on it in your rhythm, so you don’t have to make something entirely different. This is what tappers do in jams. It also provides rhythmic coherency or consistency).
I’ve been interested to compare teaching in a quiet environment after teaching in a noisy environment with lots of distractions. The former is very much the marker of middle class, anglo-european teaching philosophy. The idea that we need a quiet ‘room of one’s own’ to do good solid thinking and learning. But if there’s one thing we know about lindy hop, it’s that it was born and thrived in loud environments full of information and noise and other people. One of the very first things you learn in a tap class, for example, is how to handle the cognitive load of a very loud learning environment. A lot of people simply can’t get past that first bit (I personally really struggle with this).
I also noticed that when we started welcome small babies and children (and doggos) in our teaching space, at first I found it impossible to stay focussed. Then I just learnt to ignore it (as I suppose mothers learn to ignore random kid noise, but respond to particular noises or lack of noise :D). So you learn to filter out extraneous data to decrease your cognitive load.
…following that thought on. We know that people learn best in environments where they feel happy and safe. This is probably because when we feel unsafe, we are ‘hyper vigilant’, taking in lots of information about our environment, _and_ keeping our bodies ready to fight or fly. Which is why anxiety or social phobias or trauma are so exhausting.
So while I dig this article, I think that it’d be really useful to compare it with learning in other cultural spaces. I haven’t checked the samples in this piece, but I wonder if they used predominantly white, middle class people between 18 and 25 (ie university students) in laboratory environments as their samples?
Perhaps one of the most important things about thinking of lindy hop as a black dance, is that we remember where and how people learnt to dance: in vernacular spaces. Everyday spaces. Spaces full of noise and stimuli and other people. Which is not only why we see the influence of everyday stuff in lindy hop (eg rhythmic movements borrowed from stuff like sweeping or hammering or ball games or playing hop scotch; familiar personalities like pimps and kids skipping; familiar animals like chickens and cows), but the ability to bear massive cognitive load while completing complex tasks…