In a post entitled Brain 2.0 : eLearning Technology, Tony Karrer discusses whether or not it is more important to be knowledge-able rather than knowledgeable. The basic premise is whether or not is more important to:
- store a bunch of information in our minds that we can recall at any time (recall), or
- know which information to access, where to find it and how to verify it’s accuracy (resourcefulness)
This reminds me of the research methods class I took a few years back. During one of the first lectures, we learned basic statistical formulas such as alpha coefficient and chi square. Now numbers and I aren’t always friends. I can work through formulas by following instructions but it takes all my concentration to do so and I often make mistakes. I have a tendency to inverse numbers a lot too. Anyhow…
I asked the professor when would it be appropriate to use chi square as opposed to alpha coefficient (I know now that they don’t do the same thing but I’m still not clear on what it is that they do). He answered that it depended on the data and when I would have my data, I’d need to listen to the data. For the exam, all I needed to do is memorize the formulas. Oh boy. That is perhaps when I decided I’d look for a thesis topic that would lend itself well to qualitative inquiry!
I need to learn things in context. If I know why I’m learning something or I have a set use for it, I’m more likely to remember it. So at this time, I can’t remember the formulas for either. But I know that they are available online. The thing is, that right now I have no idea when to use them, nor can I assess the validity of the resource. So I got a B in research methods, lowest grade during my whole MA, but I passed, but not without developing a total aversion to statistics. How absolutely unfortunate.
Tony Karrer refers to Brent Schlenker’s There is no Brain2.0…so why Learning2.0?, where Brent evaluates the pros and the cons of the e in eLearning, something I’ve addressed in another post. He argues that:
We must better understand the learning process in order to create better content and experiences. Its not just behavior that we need to understand. We MUST understand the human brain. (link from original post)
Absolutely, we need to understand how the brain works in order to design better content. If more people did, we’d have less of these page turning eLearning course with information recall assessments at the end of them. We’d create simulations and problem-based learning courses. And if we created these types of courses, perhaps “training” would give individual tools to make contextual decisions rather then be bounded to a set script.
Now I agree with Brent that technology is an important factor and that is where the “e” comes in. However, the technology can be used to store the tools and resources (formulas, language rules, procedures, etc) that we don’t use on a daily basis so that we can concentrate on thinking.