Coming up for air recently, I had a few observations.
- The learning process is non-linear. Yes, maybe it would have been more efficient to pick up ONE book and go through it step-by-step. Yes, perhaps I should have learned Flash before diving into ActionScript 3 -- but I didn't. For whatever reason, I choose to start with AS3 (because I knew some Java and wanted to do something cool and didn't want to mess with animation techniques) and then went back and learned Flash. Learning Flash then felt relevant and it went very fast.
- Learning is ad hoc. This goes with the non-linear. Ad hoc is often used to mean improvised and impromptu. However, I like the alternate dictionary definition: "concerned or dealing with a specific subject, purpose, or end." I learn what I need when I need it, and by googling specific phrases, searching through my books, or trying it multiple ways until it works -- somehow I find the answer -- or decide to do something different.
- Learning is appreciative & problem-based. I learn when I'm trying to solve a particular problem. Problem: How do I get this thing to work right? Appreciative Inquiry: How do I do it better? Is this the best mechanic to use?
- Learning needs multiple examples. This to me is *the* most important point. By using multiple examples, multiple analogies, multiple tools can I formulate a solution. I learn primarily by example then an understanding why those examples work. Through examples I can create my own models and my own theories on particular subjects. Through the use of salient examples (bringing out key points), I can improve my ability to learn quicker.
How does one create the design of learning space to reflect this?
It's a conflict, no? We're suppose to teach a specific thing, a specific model. Everyone must have the same picture in their heads (industrial view of learning). How do we accommodate their background, their experience as adults? Experiences that often ameliorate understandings of what is taught? Perhaps what we need to teach is creating a common language around a set of experiences from which we build our models. Then use theories and expert models to push the boundaries of the problem space, to imagine something different.
Here's the rub -- it takes time to learn in this way -- more time than is usually allotted. I'm learning by doing, learning by example, and learning deeply. And it's slow going. But in this case, I'm not just learning, I'm changing how I think of myself in relation to my work. Reconfiguring those brain cells is hard work. Not quite there yet -- wish me speed so I can make my self-imposed deadline of graduating in May 2009.
2 comments:
Great post, Rani. I'm seeing the same kinds of big lessons in my work -- when I get myself in trouble is when I become teachable, or at least more open to learning something new. The old habits don't work in this new situation.
But yes, it's labor- and time-intensive. The British writer / actor / comic Stephen Fry says it's the difference between education and training. Training is what you do to a tree so it grows nicely against a wall. Education is bigger and more disruptive and not just about learning a new skill via repetition.
mike - you bring up an something I haven't thought a lot about -- how old habits don't work in the new situation. What old habits am I carrying forward that are no longer working? Need to ponder that one.
There is this incredible terror that I have to get past almost every time I sit down to program. Once I'm past this "fear membrane" I'm ok. It's just getting past that initial paralyzing fear. Finding this emotion fascinating. The longer I am away from the work, the stronger it becomes -- if I do the work everyday, it is lessened. There it is.
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