Monday, December 12, 2011
Monday, December 5, 2011
In Cognitive Surplus, Clay Shirky points out that major changes to society often happen so quickly they don't leave time for anyone to adjust. This results in chaos that traditional solutions can't fix. In fact, tradition has been displaced. There is no plan for going forward, but no way to go back. Shirky's main example is the beginning of the Industrial Era in London when a rapid influx of people into the city created social chaos, new opportunities for leisure, and mass drunkenness. Eventually, people began to use their surplus time to organize, become educated, and develop civic infrastructure. Ergo, we have modern democracy. (Sort of)
We are entering an era of chaos. The traditional approaches to education are being challenged by rapid changes in technology and economic pressures. And if the old model falls, we're simply not ready to replace it. We don't have any good ideas. Or...we have a lot of good ideas but no big picture.
In his opening post for Week 13 of #change11 MOOC, Clark Quinn addresses this problem:
I’m really arguing for the need to come up with a broader perspective on learning. I’ve been calling it learning experience design, but really it’s more. It’s a combination of performance support and learning (and it’s badly in need of some branding help). The notion is a sort-of personal GPS for your knowledge work. It’s knows where you want to go (since you told it), and it knows where you are geographically and semantically (via GPS and your calendar), and as it recognizes the context it can provide not only support in the moment, but layers on learning along the way. And I think that we don’t know really how to look at things this way yet; we don’t have design models (to think about the experience conceptually), we don’t have design processes (to go from goal to solution), and we don’t have tools (to deliver this integrated experience). Yet the limits are not technological; we have the ability to build the systems if we can conceptualize the needed framework.
[....] There’s lots more: addressing the epistemology of learners, mobile technologies, meta-learning & 21st C skills, and deep analytics and semantic systems, to name a few, but I think we need to start with the right conceptions.
Quinn suggests we think about "slow learning" as a way to make the reality of how our brains work match the pace and functional aspects of education design.
This sounds great. What I don't like is GPS as a metaphor. The problem is that the GPS simultaneously knows too much and too little. Have you ever watched someone follow their GPS around and around the block, expecting the little robot to do all the work? Chances are, if the driver would just look up and read a few street signs or use common sense, he could save 15 minutes of wandering.
We need to get lost. We don't need our locations constantly re-calibrated. Learning often means getting lost in the woods and finding your way out. It doesn't mean having a controlling voice talking you through everything, measure, assessing, re-assessing. That's one of the big problems with education now. Let's not replace a human program with a digital one. You can't hear yourself think with such a dominant narrator.
A better metaphor, I think, is the Hero's Journey of Joseph Campbell. Most of those myths would have been utterly destroyed with the careful directions and constant updates of a GPS. Heck, even Luke Skywalker, in his world of advanced technical wizardry, needed to close the blast shield and listen to his own voice .
It might be trite, but it might be true: do we need to focus more on the journey, less on the destination? (Destinations are good, too). The GPS won't shut up until the correct result is reached. We become dependent. We need her every time we go somewhere. We never learn to shut her off and read the landscape directly.
Friday, December 2, 2011
In Stumbling On Happiness, Daniel Gilbert says that all psychologists are required, at some point in their careers, to write a sentence that begins with "The human being is the only animal that..." According to Gilbert, the answer is "imagines the future." My personal choice would be "wears socks with sandals," but I haven't done the field research to back that up.
A recent Discover Magazine article take a crack at this and comes up with the following answer: Humans are the only animals who teach.
At first, this seems like an overreach. Anyone who has watched chimpanzees interact has seen acts of imitation. It seems clear that other primates teach, and, just like humans, often do it for peanuts.
Discover Magazine is ready for this objection:
I know this may come as a surprise, but it does so because we tend to mix up teaching and learning. A young chimpanzee can learn how to smash nuts on a rock by watching an older chimpanzee in action. And when she grows up, her own children can learn by watching her. But in these situations, the students are on their own. They have to watch an action and try to tease apart the underlying rules.
I think we're about to head down a rabbit hole having to do with "intention" and the depth of conscious awareness in primates. Ultimately, this would be a pointless debate. The question is, "Is our children learning?" No, sorry, old joke.
The question is, "Has Learning Occurred?" We aren't necessarily going to know how it happened, who was responsible for it, or what the exact ingredients of the educational cocktail were. Therefore, it doesn't matter whether a child learns to tie his shoes because he was taught or because he imitated an adult. In fact, these distinctions are merely linguistic.
This discussion makes me think of the so-called "self-taught" learner. That term is a misnomer. The only self-taught learners we have on record are children raised by wolves or neglected in massive orphanages. Those children have little or no human contact. They must teach themselves. They don't do so well.
Just like you can't avoid learning (it's in our DNA), you can't avoid teachers. The world is a teacher. Maybe not on purpose, but it is.
Thursday, December 1, 2011
Based on I.S.T (Internet Standard Time) , this 2010 David Carr article about Twitter is ancient. However, I've just come around to David Carr after watching the brilliant Page One, so forgive me for coming late to the party.
Carr, who was initially a Twitter skeptic, has come to find great value in the micro-blogging software:
At first, Twitter can be overwhelming, but think of it as a river of data rushing past that I dip a cup into every once in a while. Much of what I need to know is in that cup: if it looks like Apple is going to demo its new tablet, or Amazon sold more Kindles than actual books at Christmas, or the final vote in the Senate gets locked in on health care, I almost always learn about it first on Twitter.
I find this to be true when preparing for class or exploring ideas for research. If you're following the right people on Twitter, it can be an endless source for material. Carr's quote also made me think of a passage from Shunryu Suzuki's Zen Mind, Beginner's Mind, where he explains the proper way to draw water from a stream:
If you go to Japan and visit Eiheiji monastery, just before you enter you will see a small bridge called Hanshaku-kyo, which means 'half-dipper bridge'. Whenever Dogen-zenji dipped water from the river, he used only half a dipper, returning the rest to the river again, without throwing it away. That is why we call the bridge Hanshaku-kyo, 'half-dipper bridge'. It may be difficult to understand why Dogen returned half of the water he dipped to the river. When we feel the beauty of the river, we intuitively do it in Dogen's way. It is in our nature to do so.
I guess it's best to avoid drinking too deeply from the stream of information, to let some of water pass back into motion. Carr warns that Twitter's power can wash you away:
All those riches do not come at zero cost: If you think e-mail and surfing can make time disappear, wait until you get ahold of Twitter, or more likely, it gets ahold of you. There is always something more interesting on Twitter than whatever you happen to be working on.
All that gurgling can also be misleading. Carr quotes Here Comes Everybody author Clay Shirky, who has long praised the wisdom of crowd-sourcing your problems and allowing the hive-mind to go to work (how's that for larding up my prose with buzz words?)
Twitter helps define what is important by what Mr. Shirky has called “algorithmic authority,” meaning that if all kinds of people are pointing at the same thing at the same instant, it must be a pretty big deal.
Maybe. You'll see "Kim Kardashian" trending on Twitter more frequently than "Eurozone." Collective intelligence is powerful, but so is collective ignorance. Sometimes the stream of consciousness is just water under the bridge.